Minimax Ai Agent Github Jobs in Usa

Role Overview

We are seeking a highly experienced Senior AI Architect to lead the design and implementation of enterprise-scale Agentic AI systems and multi-agent orchestration platforms. This role requires deep expertise in LLM-based architectures, distributed systems, and cloud-native infrastructure.

As a technical authority, you will guide enterprise clients through their Agentic AI transformation, from evaluating AI frameworks and communication protocols to deploying scalable, production-ready AI automation solutions.

You will work at the forefront of GenAI platform engineering, designing architectures that power intelligent automation, enterprise knowledge systems, and AI-driven workflows.

Key Responsibilities

Agentic AI Architecture & Design

• Design and implement end-to-end multi-agent orchestration systems for enterprise automation and decision intelligence.
• Define agent design patterns, including agent roles, delegation frameworks, task decomposition, and orchestration strategies.
• Architect scalable agent ecosystems with lifecycle management, monitoring, fallback mechanisms, and human-in-the-loop capabilities.
• Evaluate and implement inter-agent communication protocols such as MCP, A2A, REST, gRPC, JSON-RPC, and event-driven messaging.

GenAI & Foundation Model Integration

• Select and integrate LLMs and foundation models (OpenAI, Anthropic, Gemini, Mistral, Llama, etc.) based on task requirements.
• Develop advanced prompt engineering and context management strategies, including:
• Few-shot prompting
• Chain-of-thought reasoning
• Retrieval-Augmented Generation (RAG)
• Structured output pipelines
• Implement tool and function calling patterns enabling agents to interact with enterprise APIs, databases, and services.
• Optimize context window management, token budgets, and dynamic context injection for scalable production systems.

State Management & Agent Memory

• Architect stateful AI systems with short-term, long-term, and episodic memory layers.
• Implement persistence strategies using:
• Vector databases
• Key-value stores
• Graph databases
• Relational systems
• Design auditable and idempotent execution patterns suitable for enterprise governance and compliance requirements.

Microservices & Platform Engineering

• Build AI platforms using loosely coupled microservices with scalable APIs and observability built in.
• Deploy AI systems using container orchestration platforms such as Kubernetes (EKS, AKS, or GKE).
• Establish CI/CD pipelines for AI workloads including model versioning, prompt versioning, and deployment strategies.
• Promote Infrastructure-as-Code (IaC) using tools like Terraform and GitOps deployment practices.

Enterprise Client Engagement

• Partner with enterprise stakeholders to assess AI readiness and automation opportunities.
• Translate complex business requirements into scalable AI system architectures.
• Provide guidance on build vs. buy decisions for AI frameworks and vendor tools.
• Produce architecture documentation, reference designs, and implementation playbooks.

Required Qualifications

• 8+ years of experience in software engineering or platform architecture.
• 3+ years of experience designing AI/ML systems or GenAI platforms.
• Hands-on experience building multi-agent or agentic AI orchestration systems in production.
• Strong experience with agent frameworks such as:
• LangChain
• LangGraph
• AutoGen
• CrewAI
• Semantic Kernel
• Expertise integrating LLMs, embeddings, tool/function calling, and RAG pipelines.
• Deep knowledge of microservices architecture, distributed systems, and API design.
• Experience with container orchestration (Kubernetes preferred) and cloud platforms such as GCP, AWS, or Azure.
• Strong programming skills in Python, with additional experience in TypeScript, Go, or Java preferred.

Preferred Qualifications

• Experience working with enterprise clients or consulting environments.
• Knowledge of AI governance, responsible AI, and compliance frameworks.
• Familiarity with model fine-tuning, RLHF, or adapter-based model customization.
• Experience with AI observability tools such as LangSmith, Arize AI, or OpenTelemetry.
• Experience working with vector databases (Pinecone, Weaviate, Qdrant, pgvector).
• Contributions to open-source AI or agentic system projects.

With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa’s Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-

The AI Products & Analytics team under the Global Data Office is creating the next generation of scalable and responsible AI, ML and Data solutions and products to solve client and consumer problems. We are a cross‑functional team of data scientists, product/program managers, data engineers and ML Engineers focused on generating value for the payment ecosystem. We are dreaming of the next generation of AI features and products, Agentic AI solutions and high‑quality analytics and data science support for our internal partner teams.

This position is in the AI Practices & COE sub‑team under the AI Products & Analytics team, focused on AI Transformation of the Global Data Office. The AI Transformation program aims to accelerate operational efficiency and foster innovation through targeted automation. By deploying scalable AI solutions to existing time‑consuming workflows with high potential for AI disruption, this will ensure measurable, sustainable benefits across the Global Data Office.

• 
  
• Design and implement agentic AI workflows to automate multi‑step tasks and drive business impact.
  
• Integrate predictive, generative, and prescriptive AI models into enterprise processes for decision support and efficiency gains.
  
• Apply ML, deep learning, and NLP techniques to diverse datasets, building scalable, secure data pipelines for AI training, inference, and monitoring.
  
• Collaborate with product managers, engineers, and domain experts to embed AI solutions into operations.
  
• Define, track, and report KPIs to measure productivity improvements, cost savings, and accuracy gains.
  
• Validate AI impact through experimentation frameworks such as A/B testing and performance benchmarking.
  
• Document workflows, models, and processes to ensure knowledge sharing and adherence to best practices.
  
• Stay current on emerging AI frameworks and LLM‑based automation, prototyping innovative solutions for rapid adoption.
  
• Communicate complex technical concepts clearly to technical and non‑technical stakeholders, fostering cross‑functional collaboration.
  

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

Relocation assistance is not provided for this role.

• 
  
• 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD).
  

• 
  
• 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD).
  
• 2+ years of hands‑on work experience with process/workflow automation and experience deploying Agentic AI solutions.
  
• Advanced Degree with specialization in AI, Computer Science, Data Science, Engineering, Statistics or a highly quantitative field.
  
• Strong technical proficiency in machine learning and AI frameworks, including TensorFlow, PyTorch, scikit‑learn, and Hugging Face Transformers.
  
• Experience with agentic AI and orchestration tools such as LangChain, LlamaIndex, or similar frameworks for multi‑step task automation.
  
• Solid data engineering skills, including SQL, Spark, Databricks, Airflow, Kafka, and ETL/ELT pipeline development.
  
• Proficiency in Python (primary) and familiarity with Java, Scala, or R.
  
• Experience with cloud and MLOps practices, including CI/CD, model monitoring, retraining pipelines, and containerization (Docker, Kubernetes).
  

Work Authorization: Permanent Authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position.

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5‑10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 137,400.00 to 193,750.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job‑related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

UiPath Developer – Agentic AI & Maestro

About WonderBotz

WonderBotz is a global leader in intelligent automation, delivering innovative RPA and AI solutions that help organizations scale efficiently, reduce costs, and unlock new opportunities. Our team blends technical expertise with business insight to ensure clients achieve measurable success.

Role Overview

We are seeking a UiPath Developer with hands-on experience in Agentic AI and Maestro orchestration. You will design, build, and optimize automation solutions that integrate advanced AI capabilities, ensuring seamless execution across enterprise-scale environments. This role requires strong technical skills, creativity in solution design, and the ability to collaborate with cross-functional teams.

Key Responsibilities

• Develop, configure, and deploy automation workflows using UiPath Studio and Orchestrator.
• Integrate Agentic AI capabilities into RPA solutions to enable intelligent decision-making.
• Utilize Maestro for orchestration, monitoring, and scaling of automation programs.
• Collaborate with business SMEs to gather requirements and translate them into technical designs.
• Build and maintain reusable components, libraries, and frameworks for automation.
• Conduct testing, debugging, and performance tuning of automation solutions.
• Document processes, technical specifications, and best practices.
• Provide support for production deployments and ongoing maintenance.

Qualifications

• 3–5 years of hands-on UiPath development experience (Studio, Orchestrator, Robots).
• Proven expertise with Agentic AI integration in automation workflows.
• Experience with Maestro for orchestration and enterprise automation management.
• Strong understanding of RPA lifecycle (design, development, testing, deployment, support).
• Familiarity with programming languages (VB.Net, C#, Python, SQL) is a plus.
• Knowledge of AI/ML concepts, NLP, and intelligent document processing preferred.
• UiPath certifications (Developer, Advanced RPA Developer) highly desirable.

Desired Characteristics

• Strong problem-solving and analytical skills.
• Excellent communication skills for technical and non-technical stakeholders.
• Ability to work independently and in collaborative team environments.
• Detail-oriented with a focus on quality and scalability.
• Passion for innovation and continuous learning in automation and AI.

Granite delivers advanced communications and technology solutions to businesses and government agencies throughout the United States and Canada. We provide exceptional customized service with an emphasis on reliability and outstanding customer support and our customers include over 85 of the Fortune 100. Granite has over $1.85 Billion in revenue with more than 2,100 employees and is headquartered in Quincy, MA. Our mission is to be the leading telecommunications company wherever we offer services as well as provide an environment where the value of each individual is recognized and where each person has the opportunity to further their growth and achieve success.

Granite has been recognized by the Boston Business Journal as one of the "Healthiest Companies" in Massachusetts for the past 15 consecutive years.

Our offices have onsite fully equipped state of the art gyms for employees at zero cost.

Granite's philanthropy is unparalleled with over $300 million in donations to organizations such as Dana Farber Cancer Institute, The ALS Foundation and the Alzheimer's Association to name a few.

We have been consistently rated a "Fastest Growing Company" by Inc. Magazine.

Granite was named to Forbes List of America's Best Employers 2022, 2023 and 2024.

Granite was recently named One of Forbes Best Employers for Diversity.

Our company's insurance package includes health, dental, vision, life, disability coverage, 401K retirement with company match, childcare benefits, tuition assistance, and more.

If you are a highly motivated individual who wants to grow your career with a fast paced and progressive company, Granite has countless opportunities for you.

EOE/M/F/Vets/Disabled

Job Description

We are seeking a highly skilled and experienced Lead AI Engineer to join our dynamic team. The ideal candidate will excel at identifying and articulating complex business problems, and will develop innovative, scalable, and robust AI/ML solutions to address these challenges. Responsibilities will include designing, building, and deploying enterprise-grade AI systems, specifically focused on:

• 
  
• Agentic AI solutions to automate operational processes (e.g., interpreting trouble tickets, performing basic troubleshooting, interacting with online portals, data entry).
  
• Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and querying enterprise documents to facilitate answers related to process guidelines, product knowledge, and training materials.
  
• Function calling solutions leveraging Large Language Models (LLMs) to automate and perform precise actions in enterprise workflows.
  
• Developing and applying reinforcement learning strategies to optimize and automate decision-making processes within enterprise operations.
  

This role requires hands-on expertise with model fine-tuning, training pipelines, post-training optimization techniques (e.g., model distillation), classification models, and integrating AI systems within complex enterprise environments.

Duties and Responsibilities

• 
  
• Develop and implement AI solutions leveraging fine-tuned Large Language Models (e.g., OpenAI models, LLaMA, Mistral).
  
• Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using advanced vector databases (e.g., FAISS, Pinecone, Milvus).
  
• Build and enhance agentic AI systems utilizing frameworks like LangChain, AutoGPT, or similar automation frameworks.
  
• Deploy scalable ColBERTv2 architectures for semantic retrieval and classification.
  
• Create robust pre-processing and post-processing pipelines to enhance model performance, accuracy, and interpretability.
  
• Collaborate closely with cross-functional teams, including product managers, business stakeholders, data scientists, and software engineers.
  
• Implement best practices in model distillation, quantization, and optimization for deployment in production environments.
  
• Ensure compliance with enterprise-grade security, privacy standards, and data governance practices.
  
• Provide leadership and mentorship to team members, supporting their technical development and career growth through coaching, training, and performance feedback.
  
• Drive timely and successful completion of AI/ML projects by setting clear milestones, tracking progress, removing blockers, and aligning resources
  

Required Qualifications

• 
  
• Bachelor's degree in Computer Science, Data Science, Machine Learning, AI, or related fields; advanced degree strongly preferred.
  
• 5+ years of proven experience developing and deploying production-grade AI/ML systems.
  
• Strong programming skills in Python, familiarity with libraries/frameworks such as PyTorch, TensorFlow, Hugging Face, and LangChain.
  
• Demonstrated expertise with LLM fine-tuning (e.g., LoRA, PEFT), distillation, and model optimization.
  
• Practical experience implementing RAG pipelines with embedding technologies and vector stores (e.g., FAISS, Pinecone).
  
• Proven track record building agentic AI systems capable of interacting with multiple enterprise applications and platforms.
  
• Solid understanding of NLP techniques, Transformer architectures, semantic search, and document retrieval technologies (e.g., ColBERT).
  
• Hands-on experience with reinforcement learning techniques, including designing, training, and deploying reinforcement learning models.
  

Preferred Qualifications:

• 
  
• Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field.
  
• Familiarity with cloud-based AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI).
  
• Experience with containerization (Docker, Kubernetes) and deployment pipelines (CI/CD).
  
• Knowledge of advanced AI frameworks and model inference engines such as Triton Inference Server, TensorRT, and ONNX.
  
• Familiarity with model monitoring, observability tools, and techniques to ensure long-term reliability and performance.
  
• Strong communication and interpersonal skills with the ability to clearly articulate complex technical solutions to non-technical stakeholders.
  
• Experience in regulated industries or environments requiring strict compliance and data governance standards.
  

Senior Applied AI Scientist

Fully Remote - HQ in New York, New York

$190,000-210,000 base salary + equity

THE COMPANY

Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

THE ROLE

• You will be responsible for computer vision and multimodal model research, building and development for the company's agentic AI product across imaging centers and hospitals
• You will report directly to senior leadership and work closely on technical direction
• Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications
• You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business, mentoring junior team members

YOUR SKILLS AND EXPERIENCE

The successful Senior Applied AI Scientist will likely have the following skills and experience:

• 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems
• Experience working in a scaling startup is preferred
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel AI platforms with large datasets
• History of working with and managing real-time AI applications in production settings
• Cloud experience in AWS, Azure or GCP
• DevOps exposure with CI/CD pipelines preferred
• History of working on models from concept to production / end-to-end / 0-1
• Applied research background in a commercial setting required
• Publication and/or patent history highly preferred
• Experience in settings wearing multiple hats
• Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
• History of partnering with non-technical stakeholders required
• Experience owning projects
• PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar

THE BENEFITS

A competitive base salary of $190,000-210,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal

Join Our Mission to Bridge the Digital Divide - Through AI!

Position: Programs Manager (AI Curriculum - Higher Ed) - Austin, Texas (Hybrid or Remote)

Salary Range: USD 55,000 - 75,000 annually (with a 3-month probation)

Location: Preference for Austin, Texas; remote possible

Travel: Occasional travel required with reasonable notice and accommodations

About Us

Sustainable Living Lab USA (SLL LLC USA) is part of a global movement, HQ in Singapore, offices in India, Indonesia, Japan, and the USA, to make technology inclusive, accessible, and sustainable. We design and deliver innovative education programs that equip learners with essential digital and AI skills - from US community colleges to grassroots organizations worldwide.

About the Role

We’re seeking a dynamic, articulate, and adaptable Programs Manager (AI Curriculum for HigherEd)to support the global expansion and US localization of our AI education programs.

This role involves delivery, curriculum creation, and program development, ideal for someone confident in discussing AI with non-technical audiences, passionate about learning, and eager to influence AI upskilling’s future. You’ll lead technical Train-the-Trainer (TTT) sessions with professors from community colleges and universities both virtually and in-person helping them develop/integrate technical AI concepts as part of their certifications/degrees.

This role blends delivery, curriculum design, and program development, ideal for a flexible, self-motivated individual with a growth mindset who thrives in ambiguous environments, constantly finding solutions to new problems.

Key Responsibilities

1. AI Programs Training & Facilitation (TTT Model)

• Lead virtual and in-person technical Train-the-Trainer (TTT) workshops across US, supporting partners in vocational education and workforce institutions worldwide.
• Ensure participants understand the content and are equipped to customize it for local contexts and learner needs.
• Develop and implement standardized training regimens and SOPs tailored for cross-cultural, regional, and state-wide implementation partners.
• Translate core AI, ML, DL, and Python concepts into engaging, beginner-friendly lessons sensitive to language diversity and digital fluency levels - but also able to deliver technical concepts like Maths for AI, Data science, and Agentic AI topics in depth.
• Conduct engaging and informative training sessions utilizing a standardized curriculum.

2. US Programme & Business Development (SMEs, Colleges, Universities, K12, communities)

• Manage the continuity and expansion of SLL's US programs, particularly within its extensive network of 140+ community colleges and universities spanning 40+ states.
• Work with the team to position SL2 as a leading partner in AI and emerging tech education for the US community college and vocational sector.
• Scale educational programs with school districts, community colleges, and universities, focusing on out-of-school programs and boot camps.
• Scale AI Community Engagements with clubs, societies, and foundations.
• Identify and articulate compelling use-case stories for workforce development partnerships.
• Support engagements with colleges, government agencies, and employers to co-develop bespoke AI education pathways.

3. Content Development and Productization

• Collaborate with internal teams to evolve and update existing programs and co-create new offerings.
• Lead the creation of slide decks, training decks, and other content as a core part of the role.
• Contribute to productizing key experiential learning offerings such as hands-on coding challenges and platform-based simulated work experiences.
• Help localize material for US-based institutions, aligning with skills frameworks and employer demand.
• Co-deliver experiential coding/skilling events, ensuring the core product is designed for global scalability and is adaptable to various educational levels, including tailoring project focus for different competitions for community college and university students.

What We're Looking For

• HigherEd/SME Training Experience: Minimum of 3 years in Higher Ed, training, or facilitation working with HigherEd/SMEs, including at least 2 years focused on technical or digital skills. Experience working across cultures and time zones is highly valued.
• Tech & Learning Aptitude: Intermediate to high knowledge of Python and AI/ML/DL/Agentic AI/Maths for AI/Data concepts. Strong personal interest in the evolving AI landscape and comfort with explaining complex topics to beginners. Experience or enthusiasm for Vibe Coding, digital hackathons, or collaborative prototyping is a plus.
• Communication & Facilitation: Fluent, clear-spoken English and strong public speaking skills. Able to adjust tone, pace, and clarity based on audience (e.g., teachers vs. college professors vs. workforce leaders). A strong presence on MS Teams/Zoom or in person - whether running a classroom session, hackathon, or partner presentation.
• Mindset & Tools: Adaptable, self-motivated, and collaborative. Skilled in using tools like Zoom, Google Workspace, and Teams, and eager to learn new platforms and facilitation techniques.
• Location & Eligibility: Preference for candidates based in Austin, TX, but open to strong remote applicants. Must be authorized to work in the US.

Why Join Us?

• Make Global Impact: Empower teachers and workforce educators across continents to teach AI confidently and contextually.
• Shape the Future of the US Workforce Skilling: Co-create impactful AI programmes for colleges and workforce partners across the US.
• Creative & Collaborative Culture: Work with a mission-driven team that values experimentation, equity, and lifelong learning.
• Featured Benefits: Medical insurance (100% employer contribution), 14 days annual leave, 14 days medical leave, and paternity and maternity leave. We request that the candidate to have their own device.

Ready to Apply?

Send your resume and a short, authentic cover letter to with the subject line: “Programs Manager (AI Curriculum) - U.S.” Please write authentically, and use AI tools with discernment.

Please include:

• Your expected monthly salary in USD
• Your current location and time zone
• Your availability to start
• Any accommodation requests (if applicable)

SLL LLC USA is an Equal Opportunity Employer. We celebrate diversity and are committed to building an inclusive workplace. If you need accommodations during the application process, please let us know.

GENERAL SUMMARY:

The Manager of AI Enablement (Senior) leads the development and execution of Element Care’s internal approach to artificial intelligence. This role defines AI standards, policies, and best practices while enabling staff across the organization to adopt AI safely, ethically, and effectively. Reporting to the IT department, this position acts as a trusted advisor to leaders and end users, shaping AI governance, vendor strategy, training, and enterprise enablement.

ESSENTIAL RESPONSIBILITIES:

•    Define and maintain organizational AI standards, policies, and governance frameworks.

•    Lead the deployment of off-the-shelf AI solutions, including ambient documentation, predictive analytics, administrative automation, and clinical decision support tools.

•    Enable responsible use of generative AI across administrative and operational functions.

•    Conduct continuous workflow analysis to identify automation and AI-enablement opportunities.

•    Evaluate AI and AI/ML models, tools, and vendor solutions for suitability, risk, and value.

•    Partner with IT, data, analytics, and platform teams to align AI initiatives with enterprise architecture.

•    Provide oversight and guidance on AI-enabled workflows, automation, and agent capabilities.

•    Measure, monitor, and report on AI initiative outcomes, value realization, and performance.

•    Build business cases and recommendations for future AI investments.

•    Serve as the primary advisor to leaders and teams on AI use cases, risks, and governance.

•    Monitor regulatory, ethical, and industry developments related to AI.

•    Help establish and mature a scalable AI enablement and governance operating model.

•    Influence adoption and consistency without direct authority.

•    Perform other duties as assigned.

JOB SPECIFICATION:

•    6–10+ years of relevant professional experience, including applied AI, automation, analytics, or emerging technology leadership.

•    Demonstrated experience evaluating AI/ML models, vendor solutions, or AI platforms.

•    Experience with vendor management, solution selection, or hands-on implementation required.

•    Demonstrated experience defining standards, policies, or enterprise enablement programs.

•    Healthcare or other regulated industry experience strongly preferred.

•    Strong understanding of applied AI, AI/ML evaluation, governance, risk, and ethical considerations.

•    Ability to translate complex concepts into practical organizational guidance.

•    Experience developing business cases and value narratives for technology investments.

•    Executive-level communication and facilitation skills.

•    Proven ability to operate independently and influence across the enterprise.

•    Strategic mindset with a pragmatic, implementation-oriented approach.

Compensation details: 13 Yearly Salary

PI71b2d5685c13-3631

Job Summary
HellermannTyton North America (HT NA) is accelerating the use of Artificial Intelligence to unlock capacity, improve quality, and fuel growth across North America. As the AI Program Manager, you will build and run a program of AI initiatives that create efficiencies by automating repetitive tasks and removing process waste. You will partner with Operations, Sales, Marketing, IT, HR, and Finance to select the right problems, deliver measurable outcomes quickly, and scale wins across plant sites to increase revenue, reduce cost, and eliminate waste. This will be achieved while maintaining HellermannTyton's Quality and EHS certifications by supporting all corporate policies, procedures, work instructions, and required documentation.

What You'll Do

Opportunity Discovery

• 
  
  
• Conduct stakeholder interviews to capture business objectives and constraints; translate high-level goals into clear, actionable AI project requirements.
  
  
• Build simple business cases with the respective departments; baseline current performance, and quantify benefits
  
  

Program Management

• 
  
  
• Work with Business Stakeholders to prioritize initiatives by value, impact, labor hour avoidance, and risk mitigation.
  
  
• Prioritize AI program and project roadmap into short, iterative deliverables; prioritize delivery based on business impact and feasibility.
  
  
• Run stage-gated delivery (scope pilot scale) aligned to HellermannTyton COE project governance; set decision forums, risk controls, and incremental results.
  
  
• Work with Business and IT to develop data and IT infrastructure and tools to support AI program roadmap.
  
  

Delivery

• 
  
  
• Ensure ownership of agents and AI workflows are transitioned to business stakeholders within the business.
  
  
• Engage with change management to ensure AI projects are accepted, and AI becomes integrated into processes such that AI becomes "the way we work."
  
  
• Make value visible and auditable. Track and report on program benefit metrics such as savings, improved experience, reduced waste, efficiency improvements, etc.
  
  
• Share AI knowledge to upskill the organization. Coach stakeholders to see AI use cases in the processes.
  
  

Governance

• 
  
  
• Partner with Legal/HR on data privacy and AI use policies.
  
  
• Ensure solutions comply with IT corporate cybersecurity and risk guidelines.
  
  

Success in this role will require:

• 
  
  
• Collaboration & Communication
  
  
• Adaptability
  
  
• Problem Solving
  
  
• Analytical Thinking
  
  
• Business Acumen
  
  

What You'll Bring

• 
  
  
• Bachelor's degree in Project/Program Management, Engineering, Manufacturing, Computer Science, Data/Analytics, or related field.
  
  
• 3+ years leading data/AI/automation programs with manufacturing operations; proven track record delivering hard dollar benefits and labor hour avoidance.
  
  
• Mastery of program management (business cases, roadmaps, stage gates, financials).
  
  
• Excellent stakeholder communication and leadership across Operations, Sales, Marketing, IT, HR, and Finance.
  
  

Preferred Qualifications

• 
  
  
• Background manufacturing or associated environments.
  
  
• Lean / Six Sigma certification; experience embedding AI within continuous improvement programs.
  
  
• Experience with AI Tools (MS CoPilot Studio, MS Fabric, MS Azure Foundry)
  
  

By applying for a position with HellermannTyton, you understand that should you be made an offer, it will be contingent on your undergoing and successfully completing a background check through the use of our 3rd party supplier. Background checks may include some or all of the following based on the nature of the position: SSN/SIN validation, education verification, employment verification, criminal check, driving history, and drug test. You will be notified during the hiring process of which checks are required by the position.

HellermannTyton Corporation is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

Role: Principal AI Solution Architect

Location: Houston, TX, 77086 - Onsite

Duration: Long term Contract

Job Description:

Key Responsibilities:

• Partner with business and technical stakeholders to identify and implement agentic AI and machine learning solutions that improve decision making, workflows, and automation
• Design and implement cloud native AI architectures using Microsoft Azure services and established AI design patterns
• Collaborate with Data Scientists and other AI Engineers to transform prototypes into production ready, scalable solutions
• Build, deploy, and operate enterprise scale machine learning pipelines, emphasizing reliability, performance, and security
• Orchestrate and configure infrastructure that enables low latency, resilient AI workloads, leveraging infrastructure as code and automation
• Contribute to reusable accelerators, templates, and patterns that improve delivery speed and consistency across teams
• Support CI/CD, monitoring, and operational practices for AI and ML systems in production environments

Required Technical Skills:

• Strong experience with Microsoft Azure, including AI/ML services and cloud native architectures
• Hands on experience deploying and operating ML pipelines using Azure Machine Learning
• Proficiency in Python and modern software engineering practices
• Experience with automation and configuration management, including Ansible
• Solid understanding of MLOps, model lifecycle management, and CI/CD for AI systems
• Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
• Working knowledge of security, identity, and access control in enterprise cloud environments

Preferred Skills:

• Experience with Microsoft Foundry
• Experience implementing or operating agentic AI systems
• Familiarity with data engineering tools such as Databricks, Spark, Azure Data Factory
• Experience integrating AI services (e.g., cognitive services, computer vision, unstructured data processing)

Experience Requirements:

• 5+ years of experience in software engineering, AI engineering, or machine learning engineering roles
• Proven experience delivering production AI or ML solutions in a cloud environment
• Experience collaborating with cross functional teams across data science, engineering, and architecture

Ways of Working:

• Ability to work independently as a contractor while integrating effectively with existing teams
• Strong communication skills, with the ability to explain complex technical concepts clearly
• Results oriented mindset with a focus on delivering business value quickly and reliably.

We’re hiring a B2B SaaS Account Executive to drive growth for our AI-powered solutions used by growing and enterprise businesses.

As an Account Executive at Commercient, you’ll own the full sales cycle for our AI automation and chatbot solutions, from prospecting and demos to closing complex B2B SaaS deals. You’ll work directly with customers to understand real business problems and translate cutting-edge AI—LLMs, intelligent automation, and ERP–CRM integrations—into practical, high-impact outcomes. This is a SaaS sales role for someone excited to sell sophisticated AI technology, engage senior stakeholders, and help shape the next generation of AI-driven sales motions.

At Commercient, you’ll own the full sales cycle, working directly with decision-makers to understand business challenges and position high-impact solutions that combine ERP, CRM, and AI capabilities.

Location: Atlanta (Hybrid)/US (remote)

What You’ll Do

As our Sales Representative, you’ll be on the front lines driving our growth:

• Prospect, pitch, and close deals for our AI technology solution such as our chatbot
• Build and nurture strong client relationships with Salesforce, HubSpot, Zoho, etc.
• Represent Commercient at meetings, demos, and events across the US
• Gather insights from the market to help shape our product and sales strategy
• Hit and exceed sales targets while growing your career in a fast-moving company
• Travel to several conferences per year in the US

Who You Are

• Sales hunter with a passion for building relationships and closing deals
• Energetic, ambitious, and motivated by results
• AI enthusiast who likes to learn about AI and stays current with the trends
• Comfortable meeting clients and thriving in a dynamic, less-structured environment
• Bachelor’s degree or equivalent experience in Sales, Business Development, or related fields (optional if you have killer sales results!)
• 3-7 years of experience in SaaS or AI solution sales (ERP, CRM, or automation experience strongly preferred)
• Familiarity with Salesforce, HubSpot, or ERP ecosystems
• Understanding of AI chatbots, RAG systems, or natural language interfaces (bonus if you can explain GPT, embeddings, or vector databases in plain English)
• Consultative, high-EQ selling style with technical curiosity
• Comfortable engaging at C-level and VP-level
• Self-starter with strong pipeline discipline and storytelling ability
• Excited about shaping a next-generation AI sales motion
• Experience with any Chatbot or LLM tech stack: Google Gemini, Google AI Studio, Open AI, Liveperson, Drift chat, Microsoft Copilot, Agents, Agentforce, HubSpot AI, Support desk or Helpdesk AI assistants, Slack AI assistants, etc.
• Comfortable working independently in a remote team environment
• Applicants must have near-native English proficiency. A short written and verbal English evaluation will be part of the selection process.

Not for you if: you dislike rejection or ambitious goals.

Why Join Us?

• Be a key player in our expansion — your impact is direct and visible
• Work closely with founders and an international team
• Learn and grow in a tech-driven, fast-moving environment
• We have an engaging, collaborative culture focused on succeeding together

Compensation & Perks

• Competitive base starting at $55k (based on experience) + commission — uncapped, performance-driven commissions per annual On Target Earnings (OTE)
• Our compensation plan creates a space for you to be in control of what you make. The base is a great start, but uncapped commission is accessible your entire career with us (your base and commission will increase as you grow with the company).
• Comprehensive Benefits Package
• 401k program with generous company match
• PTO
• Hybrid role based in Atlanta, GA with fully remote option for US-based candidates

About Commercient

Commercient helps growing companies streamline Sales, Marketing, and Customer Service by seamlessly connecting ERP and CRM systems through our AI-driven integration platform. Over 50,000 users rely on Commercient SYNC daily to automate key business processes—sales, billing, invoicing, and payments—across top CRMs like Salesforce, HubSpot, and Microsoft Dynamics. We’re an innovative, global SaaS company with 20+ years of experience and customers in 1,000+ organizations worldwide.

Why Work With Us

• Work remotely with a diverse, supportive, and fun global team
• Be part of an innovative company that embraces cutting-edge technology
• Enjoy learning and development opportunities to grow your career
• Flexible work-life balance and an environment where ideas thrive

Ready to join an innovative team building the world’s leading ERP–CRM integration platform? Apply today and grow your career with Commercient.