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HCLTech is looking for a highly talented and self- motivated Principal AI Architect to join it in advancing the technological world through innovation and creativity
Title: AI Architect
Location Santa Clara (USA)
As an AI Architect, you will guide the strategy and delivery for interoperable, compliant, and economically viable modern AI solutions. You will architectures across a Hybrid AI landscape, blending Frontier Models (Azure OpenAI/Gemini) with Cost-Efficient Small Language Models (SLMs) and Edge Inference.
You will craft solutions based on advanced AI technologies from OpenAI, NVIDIA, Google, , Microsoft and AWS. This role has a focus on enabling advanced Agentic AI solutions that transform core business functions and enable the future hybrid workforce.
Working at the highest levels, you will engage AI, Technology and Business leaders in the world’s most successful organizations. You will lead architectural design, establish best practices, for our most complex AI initiatives.
This role requires a combination of deep hands-on technical expertise in advanced AI with strategic business acumen, serving as both a technical authority and a trusted advisor to clients
Key Responsibilities
What you’ll do
Multi-Agent Architecture Patterns: Define and govern reference architecture for multi-agent systems, covering hierarchical, peer-to-peer, and sequential (ReAct) orchestration models. Guide teams on pattern selection based on client use cases.
Memory System Design: Architect the standards for integrated memory systems, including short-term session state, long-term knowledge via vector databases and knowledge graphs, and episodic/audit memory. Ensure coherent retrieval strategies across layers.
Retrieval-Augmented Generation (RAG) and CAG (Cache Augmented) Architecture: Define architectural patterns for end-to-end RAG pipelines, including chunking, embedding, vector search (e.g., Azure Cognitive Search, pgvector), and reranking. Ensure designs include standards for lineage, observability, and evaluation (e.g., RAGAS).
Cross-Cloud & Vendor Integration: Create and maintain decision frameworks for platform selection (e.g., Copilot Studio for Teams integration, Vertex AI for GCP workloads). Advise clients on balancing vendor lock-in risks with integration benefits.
GenAIOps & Observability: Define the architectural standards for GenAIOps, including CI/CD, IaC, and observability. Establish standard metrics to track agent decision traces, latency, token consumption, hallucination, and cost.
Safety, Security & Governance: Architect enterprise-wide guardrails for safety (hallucination mitigation), security (prompt injection defense, PII masking), and fairness (bias detection). Apply governance frameworks (NIST AI RMF, ISO 42001) and design human-in-the-loop (HITL) workflows.
Enterprise Integration & Scalability: Architect scalable integration patterns for agentic systems with enterprise platforms (Microsoft Entra ID, Teams, Dynamics/Salesforce, ERPs) and compute (Kubernetes). Ensure patterns address security, data residency, and compliance.
Technical Leadership & Client Advisory: Combine technical architecture with strategic guidance. Lead C-level workshops on Agentic AI adoption, advise on roadmaps, and shape technology strategy. Mentor other architects and contribute to industry thought leadership.
Thought leadership and public speaking: Present at industry events and publish articles that advance the AI industry.
Core Qualifications (The Bar)
•Enterprise Experience: 8–10+ years in technical leadership, with a strong background in both software engineering and enterprise-scale cloud architecture.
•Cloud Expertise: Architectural expertise with one primary cloud platform (Azure, GCP, or AWS) and hands-on familiarity with at least one other.
•GenAI & LLM Depth: Demonstrated experience architecting and guiding solutions using GenAI platforms (e.g., Azure OpenAI, Vertex AI, or AWS Bedrock).
•RAG & Orchestration: Proven experience designing complex RAG pipelines.
•Model Fine-tuning: Experience with instruction tuning or fine-tuning strategies for LLMs.
•Leadership & Advisory Skills: Exceptional communication skills with demonstrated experience advising senior stakeholders (Director/C-Level) on technical strategy, roadmaps, and governance
Desired Skills & Experience
- Multi-Agent Systems: Deep understanding of, and experience designing or prototyping, advanced multi-agent systems (e.g., task decomposition, collaborative agents).
- Multi-Cloud Experience: hands-on architectural expertise across all three major clouds (Azure, AWS, GCP).
- GenAI Ops & Governance: Hands-on experience with GenAI Ops tooling. Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001) and their practical application. And AI FinOps & Model Routing
- Framework Expertise: Hands-on development experience with one or more orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel).
- Thought Leadership & Open Source: Published work (whitepapers, patents), conference speaking engagements, or active contributions to relevant open-source projects.
- Certifications: Professional-level cloud certifications (e.g., Azure Solutions Architect Expert, AWS Solutions Architect Professional, GCP Professional Cloud Architect).
Compensation & Benefits
HCLTech offers a highly competitive compensation package for this role, commensurate with experience. This includes a base salary, performance-based bonus, and comprehensive benefits. A specific salary band will be discussed with qualified candidates during the initial screening process.
Scope by Level
Senior Architect: Own end-to-end architecture for 1–3 programs/accounts. Lead technical architecture reviews and decision-making on agentic design patterns. Mentor senior engineers and emerging
Architects. Drive thought leadership through internal documentation and architecture governance. Represent HCLTech in client C-level conversations for assigned accounts.
Principal Architect: Portfolio-level ownership across multiple clients and programs. Define enterprise strategy for agentic AI adoption—roadmaps, best practices, architectural standards, and governance frameworks. Influence global partner strategies (Microsoft, Google, AWS) and contribute to HCLTech’ s overall AI/Cloud roadmap. Represent HCLTech as a recognized industry leader through conference speaking, published research, and advisory board participation. Mentor other architects and shape hiring/capability building for the AI architecture practice.
Soft Skills & Behavioural Competencies
We are looking for professionals who combine deep technical expertise with strong interpersonal and leadership abilities. Specifically:
- Clear, Multi-Level Communication
- Strategic Thinking & Advisory Mindset
- Cross-Functional & Cross-Vendor Collaboration
- Pragmatic Problem-Solving
- Ownership & Accountability
- Continuous Learning & Adaptability
- Customer Obsession & Trust-Building
- Leadership & Mentorship
- Change Agent Mindset
Pay and Benefits
Pay Range Minimum: Base $ 200000 Per Year
Pay Range Maximum: Base $ 220000 Per Year
HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation.
A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year
How You’ll Grow
At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.
HCLTech is looking for a highly talented and self- motivated [GenAI Architect] to join it in advancing the technological world through innovation and creativity
Job Title: [GenAI Architect]
Job ID: (58039)
Position Type: Full-time
Location: Redmond, WA
Background:
We are looking for GenAI / Agentic Engineers across junior and senior levels to design, build, and deploy AI applications leveraging LLMs and agentic frameworks. You will participate in end-to-end SDLC—from analysis and design to development, testing, and deployment—and collaborate closely with stakeholders to deliver robust, scalable AI solutions. Senior engineers will lead design and customer interactions; junior engineers will focus on model training, fine-tuning, and data preparation.
Role/Responsibilities
Responsibilities
Core
- Participate in the analysis and design of GenAI and Agentic AI applications.
- Develop AI solutions using frameworks such as Microsoft Agent Framework – Autogen, Semantic Kernel, Copilot Studio and LangChain/ LangGraph.
- Implement data science / machine learning algorithms defined by Solution Architects.
- Follow all SDLC phases: requirements, design, development, testing, deployment, and maintenance.
- Collaborate with customers/stakeholders on project status and deliverables.
- Work with Azure cloud platform is required. AWS / Google Cloud knowledge is a plus.
Required Skills & Qualifications
Core Technical Skills (All Levels)
- Python (scripting, data manipulation); familiarity with NumPy, Pandas, Matplotlib, Scikit Learn etc..
- GenAI / Agent frameworks: Autogen, Semantic Kernel, Azure AI Foundry, Azure OpenAI, LangChain, LangGraph.
- Understanding of machine learning fundamentals: supervised vs. unsupervised learning, neural networks, NLP.
- Familiarity with GenAI tools: MCP Server, Agent 2 Agent Communication, Hugging Face Transformers, OpenAI APIs, and diffusion models (for image generation).
- Working knowledge of Azure platform and PaaS services
- Ability to work across the SDLC with clean code, testing, and documentation.
Nice-to-Have
- Experience with AutoGen / LangGraph multi-agent patterns and orchestration.
- Knowledge of RAG pipelines, vector databases, prompt optimization, and safety/guardrails.
- Exposure to MLOps (model versioning, deployment, monitoring).
- Cloud certifications (Microsoft Azure) is a plus.
What You’ll Deliver
- Production-ready GenAI/Agentic applications.
- Fine-tuned models and reproducible experiments.
- Clear documentation, test coverage, and deployment pipelines.
- Regular updates on project status and deliverables to stakeholders.
Pay and Benefits
Pay Range Minimum: $ 200000 per Year
Pay Range Maximum: $ 220000 Per Year
HCLTec is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation.
A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year
How You’ll Grow
At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.
You'll be building intelligent systems that directly impact student success, faculty research, and campus operations
- combining cutting-edge LLM technology with rock-solid web development fundamentals.
This is your chance to work with the latest AI tools while building scalable, production-ready applications that make education more accessible, efficient, and impactful for the University of Maryland community.
KNOWLEDGE, SKILLS, & ABILITIES: Knowledge of custom interfaces and websites, using HTML5, CSS3, and JavaScript.
Knowledge of software development methodologies.
Skill in effective written and oral communication.
Skill in the use of office productivity software such as Office 365 or Google Workspaces.
Ability to provide basic mentorship to junior staff members.
Ability to create custom code.
Ability to interpret and apply policies, procedures, regulations, and laws.
Ability to multitask while demonstrating a commitment to customer service.
Additional Job Details Preferences: Advanced Education: Master's degree in Computer Science, Software Engineering, or related technical field Technical Experience : Experience with AI/ML libraries and LLM integration (OpenAI, Anthropic, Azure, Haystack, LangChain, etc.) Demonstrated ability to design, build, and support cloud solutions in both AWS and Azure within a multi-cloud architecture Knowledge of RAG (Retrieval-Augmented Generation) implementation Experience with vector databases (Pinecone, Weaviate, ChromaDB, Postgres PG Vector, etc.) Advanced React or Vue.js development (state management, component libraries, etc.) Database experience beyond DynamoDB (PostgreSQL, MongoDB, etc.) Infrastructure as Code (CloudFormation, CDK, Terraform, Bicep) Container technologies (Docker, ECS, Fargate, Azure app container) Professional Skills: 2+ years specifically with AWS serverless development Experience with CI/CD pipelines and automated testing Previous experience mentoring junior developers Experience in enterprise or university environments What will you be doing? You'll leverage your proven experience with AWS serverless technologies (Lambda, DynamoDB, API Gateway, S3) to build scalable cloud solutions.
Using your strong backend development skills in Python OR Node.js and frontend expertise with React or Vue.js, you'll create full-stack applications deployed in cloud environments.
You'll apply your experience with version control systems (Git) and agile development practices, maintaining your commitment to code quality, testing, and documentation throughout all projects.
AI Architect Mastery, Enterprise Architecture, ETX
(Full-Time, Location: Boston, Springfield, New York)
The Opportunity
The AI Architect will evaluate and benchmark AI capabilities, define implementation patterns for AI services, and enable MassMutual to make impactful, long-term decisions around AI-enabled business capabilities. This includes developing strategies, reference architectures, roadmaps, and patterns to drive responsible AI Adoption, Research & Development. As an AI Architect, you will be part of MassMutual's team focused on aligning AI technology strategy with business strategy and goals. You will guide the planning and design of AI capabilities to maximize their value in secure and responsible manner, using architecture strategies, blueprints, and roadmaps to standardize technology stacks and enhance AI engineering speed and agility.
The Team
The MassMutual Enterprise Architecture team in the Enterprise Technology and Experience organization is composed of Business, Application, Infrastructure, Data, and Security architecture domains. The team collaborates on enterprise-wide technology initiatives, providing a unique perspective and opportunity to partner with best-in-class architects, technologists and business leaders. The AI Architect will join this team to drive digital innovation and create a competitive advantage for MassMutual.
The Impact:
The AI Architect will play a critical role in designing AI solutions that enhance MassMutual's digital capabilities and customer engagement. This role involves working closely with various domains of Enterprise Architecture (EA), Research & Development, business stakeholders, IT teams, Cyber, Governance and Privacy partners to design and implement AI solutions that align with business outcomes and architectural requirements
Responsibilities:
- Build Enterprise AI Architecture strategy and roadmaps
- Develop AI Reference Architectures and Guidance.
- Update specification and publication of AI Standards and Patterns around AI technology, development, security, privacy and observability.
- Build AI platform architecture and Integration Patterns, stay abreast of emerging AI technologies and integrate them into AI architecture as needed
- Consult on AI capabilities for business and technology platforms and ensure alignment between AI architecture frameworks and standards and overall business strategy
- Evaluate and lead AI architecture deliverables, perform capability assessments, and support technical evaluations for closing gaps
- Actively publish deliverables and utilize multi-media to educate and engage with federated solution architecture community members
- Partner with solution architect to document design decisions and solution architecture
- Partner with technology leaders, business and governance partners to identify AI risks and process issues, then provide enterprise patterns to resolve the issues
- Provide recommendations on problem solving, solution options, risks, cost/benefit analysis, and impact on cross-domain systems, business strategy, goals, and processes
- Partner with extended enterprise architecture, enterprise cyber security, compliance, governance, privacy, business, and IT support teams to communicate and collaborate on architecture strategies, standards, and guidance
- Partner with AI Governance, Security and Privacy team for supporting Secure, Ethical and Responsible use of AI.
- Stay abreast of current and emerging AI threats and design AI architecture to mitigate them. Design capabilities for AI Governance and Observability
- Achieve AI architecture compliance on requirements, including, but not limited to, Colorado AI Act, global data privacy requirements, and state and federal regulations
The Minimum Qualifications:
- Bachelor's degree in computer science, IT, system analysis, or a related technical field
- 8+ years of IT design and implementation experience with a minimum of two of the following (or similar) technical disciplines: AI/ML frameworks, AI/ML development and coding environments, cloud platforms, and big data technologies
- 5+ years involvement with solution architecture development and delivery.
- 5+ years of experience developing and interpreting business architecture.
- 5+ years of experience in building solutions on complex cloud-native products, applications, and platforms
- 5+ years of experience in a technology advisory role, experience working directly with any of AI, machine learning technologies, statistical systems, or big data platforms
The Ideal Qualifications:
- Exposure to and involvement in governance and compliance regimes; a good understanding of security and privacy management. Experience working with AI Governance, Privacy requirements like Colorado Artificial Intelligence Act (CAIA).
- Experience supporting agile teams by providing guidance on design, opportunities, impact, and risks, taking account of technical and architectural debt
- Preferred experience designing GenAI solutions, with experience in MLOPS, LLM, Amazon Bedrock, Q, OpenAI, CoPilot Studio, Langchain, Data Foundry, Data Fabric.
- Trusted and respected as a thought leader who can influence and persuade business and IT leaders and IT development teams
- Technology-neutral: remains unbiased toward any specific technology or vendor choice and is more interested in results than personal preferences
- Displays intellectual curiosity and integrity
- Motivated and driven by achieving long-term business outcomes
- Ability to balance the long-term (big picture) and short-term implications of individual decisions
- Ability to work effectively in a team environment and lead cross-functional teams
#LI-RK1
MassMutual is an equal employment opportunity employer. We welcome all persons to apply.If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.
Salary: $140,000
- $160,000 per year A bit about us: We are a large, established enterprise organization operating at scale across multiple business domains.
Technology plays a critical role in how we enable our workforce, streamline operations, and support innovation.
Our teams focus on building reliable, secure, and forward-looking platforms that improve how work gets done across the organization.
We are investing heavily in AI-enabled services, automation, and modern integration patterns to create smarter, more connected systems that empower employees and drive measurable efficiency.
Why join us? Why Join Us Own and shape the future of enterprise AI and automation at scale Work in a highly visible role with direct impact on how thousands of employees interact with technology Balance strategic ownership with hands-on technical work Collaborate with strong engineering, security, data, and business teams Join an organization committed to long-term investment in AI, automation, and modern enterprise platforms Competitive compensation and comprehensive benefits package Job Details Role Overview We are seeking a hands-on, technically strong AI Integration & Automation leader to drive the implementation, expansion, and optimization of an enterprise AI chatbot and its integrations across core business systems.
This role sits at the intersection of AI, automation, and systems integration and is responsible for turning AI strategy into measurable business outcomes.
This is a highly visible role that blends technical execution, product ownership, and cross-functional leadership.
The ideal candidate is comfortable both building integrations directly and guiding stakeholders on how AI-enabled automation can transform day-to-day operations.
Key Responsibilities Lead AI integration and automation initiatives from concept through production, ensuring alignment with business goals, timelines, and return on investment Design, build, and maintain API-based integrations between an enterprise AI chatbot and internal systems such as ITSM, document management, HR, Finance, CRM, and other operational platforms Configure, enhance, and optimize existing chatbot workflows, connectors, and automation logic to improve efficiency, accuracy, and user experience Work hands-on with APIs, SDKs, middleware, and orchestration tools to connect applications and automate repetitive or manual processes Partner closely with business stakeholders to identify, evaluate, and prioritize processes suitable for AI-enabled automation Develop reusable integration frameworks, templates, and patterns to enable scalable enterprise adoption Collaborate with data, security, and IT teams to ensure integrations meet enterprise standards for compliance, privacy, reliability, and performance Monitor usage, performance, and business impact of deployed integrations and continuously iterate to improve outcomes Serve as product owner for the enterprise AI chatbot, managing roadmap, integrations, adoption strategy, and ongoing enhancements Act as an internal advocate for AI-enabled services, educating teams on how automation and integrations can improve efficiency and decision-making Requirements Bachelor’s degree in Computer Science, Information Systems, Business, or a related field Master’s degree (MBA or MS in AI, Data Analytics, or a related discipline) preferred ITIL v3 or later certification preferred Certifications in automation, cloud, or AI platforms (e.g., Microsoft Power Platform, Azure AI, UiPath, AWS AI/ML) are a plus Experience 5–7+ years of experience in IT service delivery, automation, systems integration, or digital transformation Proven hands-on experience designing and deploying API-based integrations between enterprise systems and AI or automation platforms Experience integrating chatbots or virtual agents with backend systems via APIs, middleware, or workflow tools Working knowledge of platforms such as Microsoft Power Automate, Logic Apps, ServiceNow, or equivalent orchestration tools Familiarity with LLM-enabled enterprise tools (e.g., Copilot, Moveworks, Azure OpenAI) and how they operate within enterprise environments Strong understanding of authentication, authorization, and data exchange standards (OAuth, REST, JSON, Graph APIs, webhooks) Experience managing cross-functional technical initiatives with clear, measurable business outcomes Prior people leadership or team mentorship experience is a plus Proficiency in at least one scripting or integration language (PowerShell, Python, or JavaScript) Solid understanding of enterprise systems integration across HR, ITSM, Finance, and CRM domains Core Competencies Hands-on builder mindset with comfort developing, testing, and troubleshooting integrations directly Strong analytical and problem-solving skills with the ability to translate business needs into technical solutions Clear and effective communicator able to bridge technical and non-technical stakeholders Strategic thinker who aligns AI and automation efforts with broader technology and business objectives Continuous learner who stays current with evolving AI, automation, and integration technologies Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
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Salary: $160,000
- $190,000 per year A bit about us: Our Client is a fast-growing, data-driven startup based in Boulder, Colorado, helping homeowners take better care of their land through smarter, sustainable, and AI-powered lawn care.
Now they’re building the future of lawn care — powered by AI — and looking for an engineer excited to develop intelligent systems that learn, reason, and act.
Why join us? Mission with Impact: Help make sustainable, intelligent lawn care accessible to everyone.
High-Growth Startup: Small, fast-paced team where your work directly shapes the product.
Cutting-Edge Tech: Build AI systems leveraging OpenAI, LangChain, and computer vision.
Flexible Work: Remote-friendly with optional HQ collaboration in Boulder, CO.
Competitive Pay & Equity: Plus, 100% employer-paid health benefits, unlimited PTO, and 401(k).
Job Details We’re searching for a Software Engineer with deep AI/ML experience to join our clients Yard AI initiative — building the next generation of autonomous, AI-driven lawn care tools.
You’ll work on the companys AI lawn care companion, scaling capabilities that include image recognition (weeds, bare spots, lawn health), personalized task calendars, and intelligent conversational workflows that help customers take action.
This role is ideal for someone who thrives at the intersection of backend engineering and applied AI — developing, deploying, and optimizing LLM and multi-agent systems that integrate directly into user-facing applications.
REQUIREMENT: You must reside in one of the following states: AR, CA, CO, CT, HI, MA, ME, MI, MN, MO, NC, NV, NY, OK, PA, TX, UT, VT, or WA.
What You’ll Do Design, build, and maintain backend + AI pipelines (FastAPI, Python) powering LLM-driven chat, image recognition, and agentic workflows Develop and deploy agentic AI systems using frameworks like LangChain, CrewAI, or LangGraph Create RAG pipelines using vector databases (Pinecone, Weaviate, PGvector) and proprietary data to improve contextual relevance Collaborate with cross-functional teams — product, design, mobile, and data science — to deliver high-impact, intelligent features Fine-tune and evaluate LLM/CV models using tools like OpenAI Evals, Braintrust, or Promptfoo Deploy and monitor production systems in GCP/Kubernetes, ensuring reliability and observability with OpenTelemetry Mentor other engineers on AI best practices and agentic architectures What We’re Looking For 5+ years of experience in software or AI engineering Strong Python development skills with production experience Hands-on experience with OpenAI APIs (Assistants, Evals, SDKs) Proven experience building RAG and multi-agent systems Familiarity with LangChain, CrewAI, LangGraph, or similar orchestration tools Experience deploying AI models in GCP or AWS environments Understanding of CI/CD, Terraform/CDK, and cloud-native operations Strong communication and collaboration skills Bonus: familiarity with computer vision, reinforcement learning, or MCP servers Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $150,000
- $200,000 per year A bit about us: We are a tech startup company based in Los Angeles looking to bring on 2 full stack engineers to the team! Ideally, we are looking for an Founding Engineer with a strong startup background, and a mid level engineer with strong AI experience.
These are remote positions.
Please contact me for further information! Why join us? Huge opportunity for growth Startup with existing relationships Build a startup Work within AI-the future of our world Exciting industry Job Details Job Details: We are seeking a Founding AI Full Stack Engineer.
This is a permanent, full-time position where you will work on cutting-edge technologies and AI solutions.
The successful candidate will be responsible for developing and implementing a range of AI-driven applications and systems.
This role is perfect for someone who thrives in a startup environment and is eager to leverage their skills in AI, AWS, React, UI, llms, Anthropic, email ingestion, calendar orchestration, integration architecture, and secure enterprise automation to solve complex business problems.
We are looking for someone that is a tech entrepreneur! Responsibilities: 1.
Design and implement AI-driven solutions that align with our business needs and objectives.
2.
Connect with core enterprise integrations (Gmail, Outlook, Zoom, Twilio, Google Maps, Slack, and others) 3.
Utilize React to develop user-friendly UIs for our applications.
4.
Implement llms and Anthropic for efficient learning and decision-making processes.
5.
Develop and manage email ingestion and calendar orchestration to streamline our internal operations.
6.
Design and implement integration architecture for seamless data flow between different systems.
7.
Ensure secure enterprise automation across all our applications and systems.
Implement security-first engineering practices (SOC2-aligned infra, OAuth2, role-based access, audit logs).
8.
Collaborate with cross-functional teams to ensure our solutions are scalable and meet the needs of our clients.
9.
Stay updated on the latest AI trends and technologies and apply this knowledge to our operations.
10.
Troubleshoot and resolve any issues that may arise in our AI systems and applications.
Qualifications: 1.
A bachelor’s degree in Computer Science, Engineering, or a related field.
2.
5+ years of experience as a Full Stack Engineer, with startup experience.
3.
Proven experience with AI (OpenAI-Chat GPT 4/5), Anthropic, Fast API, Python, TypeScript/Node.js, OAuth2, AWS, admin automation 4.
Strong knowledge of AI principles and technologies.
5.
Excellent problem-solving skills and the ability to think critically and innovatively.
6.
Strong communication skills and the ability to work effectively in a team.
7.
Ability to handle multiple tasks simultaneously and meet tight deadlines.
8.
Knowledge of the latest trends and technologies in AI and full stack development.
9.
Strong leadership and decision making skills 10.
Entrepreneur with a passion to build This is a fantastic opportunity for a seasoned Full Stack AI Engineer to join a fast-paced, innovative company and make a significant impact on our AI-driven solutions.
If you have the necessary skills and experience and are ready for a new challenge, we would love to hear from you.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $175,000
- $210,000 per year A bit about us: Location: 100% remote any time zone in the United States Compensation: $175–210K base salary + equity Employment Type: Full-time We are working with a Series A LegalTech AI startup that’s making major strides in modernizing enterprise law firms' deal processes through powerful backend infrastructure and cutting-edge AI integration.
With over $1M ARR in the last five months, Series A funding, and a team of 20 (including 9 engineers), they’re now hiring a Senior Backend Engineer to expand their core product capabilities.
They are looking for candidates who bring AI / ML Ops / LLM experience to the table (at least worked with something in this space).
Tech Stack: Golang, Postgres, GCP, Kubernetes, React, Temporal, GitOps, ArgoCD, OpenAI, Anthropic Why join us? Remote work setup with an internationally distributed team Work on greenfield projects with wide scope and autonomy Ship products used directly by enterprise customers Join a senior, collaborative engineering team focused on pragmatic execution Chance to work in a Series A funded startup on the ground level with high level of agency and ownership Job Details Ideal Background: 4-8 years of experience as a backend or backend leaning fullstack engineer Experience with Golang strongly preferred, open to Java/C/C++/C#/Rust as well Experience with LLMs / AI Agents or a true passion/interest to get in this space Not a Fit If: Only large-company experience with no startup/small team exposure Consulting background Bootcamp-only education or less than 4 years experience No interest in Gen AI / LLMs, etc Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
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Remote working/work at home options are available for this role.
Will work closely with Portfolio architects to ensure that all architecture requirements are met during the design process.
This role involves creating and maintaining architectural repositories and decisions, as well as producing domain-specific architectural blueprints, frameworks, technology standards, and patterns.
The specialist will identify technical risks related to domain-specific architectures and high-risk design objects.
MAJOR RESPONSIBILITIES Works with Portfolio architects to ensure all architecture requirements are met during the design process.
Creates and maintain architectural repositories and decisions.
Produces domain-specific architectural blueprints, frameworks, tech standards and patterns.
Identifies technical risks related to domain-specific architectures and high-risk design objects.
Evaluates apps that need redesign or remediation or classification as rationalization targets.
Research trends specific to the technology domain and evaluates their applicability to the business.
Understand how decisions impact the specific domain’s architecture and ensure alignment with enterprise strategies.
MINIMUM JOB REQUIREMENTS Education Typically, Bachelor's in Computer Science, Software Engineering or related field.
Work Experience 6+ years of experience with multiple IT solution development disciplines, including technical or infrastructure architecture, network management, application development, middleware, database management or cloud development.
Knowledge / Skills / Abilities Deep understanding of Microsoft Power Platform (Power Apps, Power Automate, Power BI, Power Pages, Dataverse).
Strong grasp of low-code/no-code platforms and their role in enterprise digital transformation.
Knowledge of integration patterns (APIs, connectors, middleware, event-driven architecture, RPA).
Awareness of application lifecycle management (ALM), DevOps for low-code, CI/CD pipelines, and environment strategies.
Familiarity with cloud platforms (Azure preferred), data governance, and security frameworks.
Knowledge of governance and compliance in low-code development (data residency, licensing, security).
Proven ability to apply the Microsoft Cloud Adoption Framework (CAF) to architect, govern, and scale Microsoft Power Platform and Azure solutions, including environment strategy, security, governance, and operational readiness.
Strong working knowledge of TOGAF for defining domain architecture standards, managing architectural repositories and decisions, and ensuring alignment with enterprise and portfolio architecture.
Ability to design scalable low-code solutions aligned with enterprise architecture.
Strong solution architecture skills (data modeling, workflow design, integration with legacy and modern systems).
Hands-on experience in building Power Apps, automation flows, and data pipelines.
Proficiency in designing governance models for citizen development and IT-managed low-code development.
Problem-solving and analytical thinking to balance speed vs.
enterprise-grade design.
Ability to translate business needs into low-code architectural patterns and reusable components.
Ability to guide and mentor development teams (both citizen developers and professional developers).
Ability to define standards, reference architectures, and reusable templates for Power Platform.
Ability to establish governance frameworks and enforce compliance/security in low-code adoption.
Ability to influence at the enterprise level, shaping the organization’s low-code adoption roadmap.
Ability to balance innovation and governance, ensuring agility without compromising enterprise controls.
Experience in designing and integrating low-code platforms with AI services (Azure OpenAI, Microsoft Copilot, Power Automate AI Builder) to enhance automation and decision-making.
Capability to design and deploy AI-powered agents for process automation, knowledge management, and intelligent user interaction.
PREFERRED JOB REQUIREMENTS Knowledge / Skills / Abilities Experience in working with multi-site global teams Experience architecting secure applications for Healthcare and are familiar with PHI, PII, and HIPAA compliance requirements Ability to estimate the financial impact of technology alternatives.
Ability to remain unbiased toward any specific technology or vendor choice, and is more interested in results than personal preferences Trusted and respected as a thought leader who can influence and persuade business and IT leaders and IT development teams.
Ability to understand the long-term ("big picture") and short-term perspectives of situations and how they relate to achieving targeted business outcomes.
Ability to quickly comprehend the functions and capabilities of existing, new and emerging technologies that enable and drive new business designs and models.
Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.
The anticipated salary range for this position: $134,000.00
- $201,000.00 Annual The actual salary will vary based on applicant’s location, education, experience, skills, and abilities.
This role is bonus and/or incentive eligible.
Medline will not pay less than the applicable minimum wage or salary threshold.
Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average.
For a more comprehensive list of our benefits please click here .
For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.
We’re dedicated to creating a Medline where everyone feels they belong and can grow their career.
We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best.
Explore our Belonging page here .
Medline Industries, LP is an equal opportunity employer.
Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.
(100 percent remote) This Jobot Job is hosted by: Tarek Hamzeh Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $160,000
- $220,000 per year A bit about us: We’re seeking a Software Engineer with a strong focus on AI systems and backend development.
You’ll help design and scale intelligent, data-driven applications that combine large language models, computer vision, and autonomous agents to deliver next-generation user experiences.
This role centers on building, training, and optimizing machine learning models, developing agentic AI systems, and integrating them into web and mobile platforms.
You’ll collaborate closely with product managers, designers, and data scientists to deliver intelligent, reliable, and impactful user-facing features.
Why join us? What You’ll Gain Opportunity to design and launch core AI infrastructure from the ground up.
Flexible remote or hybrid work options.
Competitive compensation and benefits.
A chance to work with a fast-moving, cross-functional team driving innovation in applied AI.
Job Details AI Software Engineer (Backend Focus) Build the Future of Intelligent Systems — Join Us as an AI Software Engineer Help design and deploy next-generation AI infrastructure that powers smarter, more personalized, and autonomous digital experiences.
About the Role We’re looking for a highly skilled AI Software Engineer to help design, build, and scale intelligent systems that bridge backend engineering and applied AI.
You’ll develop production-ready pipelines integrating large language models (LLMs), retrieval-augmented generation (RAG), computer vision, and agentic architectures — shaping how users interact with AI-driven products in real time.
This is a hands-on engineering role where you’ll collaborate with product managers, designers, and data scientists to create intelligent, reliable, and scalable systems that learn, reason, and act.
What You’ll Do Design & build backend services: Develop FastAPI or similar systems that power LLM-driven chat, search, and image recognition.
Architect agentic AI systems: Implement multi-agent frameworks enabling autonomous reasoning, planning, and execution.
Train and deploy models: Fine-tune and evaluate computer vision and language models; define testing suites to ensure quality and safety.
Develop RAG pipelines: Create retrieval systems grounded in structured data to improve contextual accuracy.
Ensure reliability: Build guardrails, validation layers, and observability for AI performance and safety.
Optimize & scale: Automate workflows with CI/CD, Infrastructure-as-Code, and continuous telemetry feedback loops.
Collaborate cross-functionally: Partner with design, mobile, and product teams to deliver AI-driven user experiences end-to-end.
About You 5+ years of experience in backend or AI software engineering.
Proficiency in Python, APIs, and distributed systems.
Hands-on experience with OpenAI APIs, LLM integrations, and agentic frameworks (LangChain, LangGraph, CrewAI).
Experience with vector databases (Pinecone, Weaviate, PGVector) and retrieval-augmented generation (RAG).
Solid understanding of model evaluation, testing, and performance monitoring.
Skilled in cloud environments (AWS, GCP, or similar) and container orchestration (Docker, Kubernetes).
Strong collaboration and communication skills.
Bonus: Familiarity with reinforcement learning or multi-agent coordination systems.
Why Join Us Work on groundbreaking AI applications that combine real-world data and intelligent automation.
Join a small, fast-moving team with autonomy and ownership.
Flexible remote or hybrid work options.
Competitive pay, full benefits, and unlimited PTO.
The opportunity to shape the direction of applied AI infrastructure from the ground up.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
