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Generative AI Developer Location: Dallas TX/ Tampa FL/New Jersey
- Hybrid Fulltime/FTE Salary: Market Client: Bank Role Overview We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques.
The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms (AWS, Azure, or GCP).
This role requires a deep understanding of system architecture design, scalable APIs, and end-to-end AI solution development.
Key Responsibilities Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions.
Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance.
Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines.
Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases.
Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP).
Conduct performance tuning and optimization of AI models and APIs.
Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies.
Required Skills & Qualifications 8+ years of professional experience in software development and system design.
Strong proficiency in Python and experience with FastAPI for API development.
Hands-on experience with Generative AI frameworks and RAG architectures.
Solid understanding of system and architecture design principles for distributed applications.
Experience deploying solutions on any major cloud platform (AWS, Azure, GCP).
Familiarity with vector databases, embedding models, and retrieval pipelines.
Strong problem-solving skills and ability to work in a fast-paced environment.
Preferred Qualifications Experience with LLM fine-tuning, prompt engineering, and model evaluation.
Knowledge of containerization (Docker) and orchestration (Kubernetes).
Exposure to CI/CD pipelines and DevOps practices.
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At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
Consulting - Tech Consulting - FinTech – AI Finance - Senior Manager
Whole industries have been disrupted and transformed in recent years by changing technologies, advanced analytics and the need for better insight. EY is helping businesses realize the value they can gain from their IT investments. We deliver exceptional client service — providing advice on how technology, finance process efficiency and enterprise intelligence contribute to performance improvement, as well as how IT can act as a multiplying effect during major program transformations.
The opportunity
The AI Finance Senior Manager is a crucial role responsible for supporting the Finance Applications Data Lead in executing the overall data management strategy for finance applications. The successful candidate will leverage their deep expertise finance applications (planning, reporting, close/consolidation) coupled with deep skills in enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI (Gen AI) to support key finance personas. One of the key responsibilities will focus on developing and implementing our “FDL consulting blueprint” service offering, with the goal of creating an industry agnostic data model which can be utilized as a starting point and be extended ensure data consistency and interoperability across finance applications. The successful candidate will work closely with the Data Lead and the Product Owner for the FDL to ensure that the FDL Blueprint is designed on a foundation of accurate, consistent, and reliable finance application data architecture, enabling informed decision-making.
Your key responsibilities
The AI Finance Senior Manager will work closely with finance, IT, and data science teams to support the effective management and utilization of finance application data, harnessing the power of Machine Learning, Gen AI, and Azure data technologies to drive innovation and business value through the development and implementation of the EY AI Finance solution offering.
As a Senior Manager, you will play a pivotal role in leading engagement delivery and managing client relationships. Your time will be spent across various responsibilities, including:
Leading the design and delivery of system architecture solutions in collaboration with technical teams.
Tailoring technology platforms to business processes, ensuring clients maximize their investment through effective use and continuous improvement.
Managing complex processes, solutions, and projects while maintaining a focus on quality and risk management.
Skills and attributes for success
Proven ability to manage and deliver complex solutions.
Fostering relationships with client personnel at appropriate levels. Consistently running and delivering quality client services. Driving high-quality work products within expected time frames and on budget.
Monitoring progress, managing risk and confirming that key stakeholders are kept informed about progress and expected outcomes.
Managing expectations of client service delivery.
Effectively managing and motivating client engagement teams with diverse skills and backgrounds. Providing constructive on- the- job feedback/coaching to team members.
Fostering an innovative and inclusive team-oriented work environment. Playing an active role in the counselling and mentoring of junior consultants within the organization.
Supporting Data Management Strategy Execution, including helping execute the overall data management strategy for finance applications
Defining data requirements, data architecture, and data models for finance applications, considering the potential of Machine Learning and Gen AI technologies
Leading the design and implementation of an extensible common information model for the FDL Blueprint
Developing and maintaining documentation, including data dictionaries, entity-relationship diagrams, and data lineage maps
Leading the development and implementation of our FDL Blueprint solution offering, ensuring scalability, performance, and security
Collaborating with data scientists and finance SMR’s across service lines to identify opportunities for applying Machine Learning and Gen AI techniques to finance applications/personas and extend the FDL
Supporting the establishment and maintenance of a robust data governance framework for the FDL
Staying current with the latest advancements in Machine Learning, Gen AI, Data Management and Azure technologies and identifying and implementing innovative solutions that drive efficiency, accuracy, and insights for finance applications
Ability to travel as required for client engagements and project needs.
To qualify for the role, you must have
Bachelor\'s degree in Finance, Accounting, Business, Computer Science
Minimum of seven years of progressive experience in Financial Planning & Analysis (FP&A), with demonstrated expertise in:
Strategic financial planning, budgeting, and forecasting processes
Financial modeling and scenario analysis
Variance analysis and management reporting
Cross-functional collaboration with business stakeholders
Strong proficiency with EPM (Enterprise Performance Management) platforms, including hands-on experience with solutions such as:
Anaplan (Certified Model Builder preferred)
Oracle EPM Cloud Suite (PBCS, ePBCS, FCCS)
Oracle Hyperion
OneStream, Tagetik, or similar platforms
Solid understanding of financial data architecture and governance, including:
Financial data modeling and dimensional design
Chart of accounts structuring and hierarchy management
Data quality standards and reconciliation processes
Master data management for finance applications
Knowledge of finance applications including financial modeling (PnL, Balance Sheet, Cash Flow)
Excellent communication, collaboration, and problem-solving skills
Ability to work effectively in a fast-paced, dynamic environment, supporting the adoption and implementation of emerging technologies
Strong business skills including relationship management, commercial awareness, and communication.
Strong analytical and problem solving skills as well as excellent oral and written communication skills
A willingness to travel to meet client needs.
Ideally, you’ll also have
Degree emphasis in Finance, Accounting, Economics, Business, Computer Science, MIS, or IT preferred
A strong ability to adapt to changing technology landscapes and stay ahead of industry trends.
Exceptional interpersonal skills to foster team collaboration and client trust.
A proactive approach to problem-solving and decision-making.
Experience in leading diverse teams in dynamic environments.
What we look for
We seek top performers with a blend of technical expertise and strategic business acumen. Candidates should be adaptive, proactive, and committed to driving innovative technology solutions that propel the business forward. Strong managerial skills and a continual desire to improve both technical and soft skills are essential to meet the evolving demands of the industry.
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $171,600 to $392,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $205,900 to $445,700. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on-going basis.
For those living in California, please click here for additional information.
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at
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About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
Sr. Engineering Manager, AI/ML Serving Platform
The AI/ML Serving Platform team provides foundational tools and infrastructure used by hundreds of AI/ML engineers across Pinterest, including recommendations, ads, visual search, growth/notifications, trust and safety. We aim to ensure that AI/ML systems are efficient, healthy (production-grade quality) and fast (for modelers to iterate upon).
Pinterest is seeking a Sr. Engineering Manager to lead the team that builds the serving and deployment infrastructure for all AI/ML models at Pinterest. Systems include:
- Ultra-high-performance C++ model inference engine for production recommendations and content ranking systems. TorchScript + CUDA Graph models on GPU inference, serving 500+M inferences/second.
- Production GenAI & LLM model inference stack for emerging use cases.
- Model routing, deployment, monitoring. Kubernetes-based provisioning.
- Feature fetching, caching, and logging
What you'll do
- Lead the team to deliver continual improvements in advanced model architectures, cost-efficient resource utilization, and AI/ML developer productivity.
- Set technical direction for the team based on company and org priorities
- Coach and develop talent on the team.
What we're looking for:
- Experience managing platform engineering teams with many cross-organizational customers
- Experience leading the development of large-scale distributed serving systems
- Experience with AI/ML inference technologies (e.g. PyTorch, TensorFlow) for online serving at Web scale
- Bachelor's degree in Computer Science, a related field or equivalent experience.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-REMOTE
#LI-AH2
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$208,592—$429,454 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
Pinterest is where people come for inspiration, not distraction - an active intent platform uniquely positioned at the intersection of search, social, and commerce. Our commitment to personalized discovery and actionable curation helps hundreds of millions around the globe turn inspiration into reality. Here, Personalization is essential to who we are and what we do.
We're looking for a passionate and strategic AI/ML Product Manager to drive the future of personalized experiences on Pinterest. As part of our Personalization team, you'll work across Engineering, Data Science, and Design to deliver industry-leading AI and ML solutions-helping users easily discover inspiration, curate what they love, and shop for what brings their ideas to life. You'll ship impactful products on high-traffic Pinterest surfaces, including Home, Search, and Related Pins, and play a key role in Pinterest's top strategic theme for the years ahead.
What you'll do:
- Define, design, and launch thoughtful AI/ML-powered experiences that help users discover, curate, and shop ideas tailored to their unique taste.
- Partner cross-functionally with Engineering, Design, and Data Science to craft seamless and delightful experiences at the intersection of user experience, ML, and AI.
- Set product vision, influence strategy, write requirements, develop hypotheses, and establish success metrics for critical personalization initiatives.
- Identify and prioritize new opportunities to advance the relevance, impact, and sophistication of personalization across Pinterest's Curation portfolio.
- Autonomously navigate and resolve complex, ambiguous product challenges-and influence product strategy across multiple teams.
What we're looking for:
- Track record in AI/ML products: Experience building and launching personalized experiences, ideally at scale, for consumer products (e-commerce a plus).
- Technical fluency: Strong understanding of AI/ML product development; ability to credibly partner with engineers and data scientists across the stack.
- Sharp communication: Comfortable presenting to executives and cross-functional audiences; excels at simplifying complex technical and product concepts.
- Strategic and customer-centric: Deep empathy for user needs, with an ability to turn rich data and insights into new opportunities and delightful features.
- Collaborative influencer: Ability to build trusted relationships with a variety of internal partners (including Advanced Technology, Growth, Trust & Safety, Monetization, and more) and align them to shared goals.
- Ownership mindset: Skilled at defining what success looks like, rallying teams, and guiding projects from ideation to successful launch.
- Bachelor's degree in a relevant field such as Computer Science, or equivalent experience.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
#LI-REMOTE
#LI-REX
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$139,764—$287,749 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
Local candidates only. You must be a W2 employee and we can not work with third party clients.
Software Engineer – Generative AI Applications |
Company’s Early Clinical Development (ECD) team is looking for a Software Engineer to design and build next‑generation applications that integrate generative AI into clinical development workflows. You’ll work with AI scientists, full‑stack engineers, and cross‑functional partners to deliver innovative, user‑centric tools that support Clinical Science, Operations, Medical Writing, Regulatory, and Quality teams.
What You’ll Do
- Develop and deploy software that integrates LLMs and AI‑driven capabilities
- Build intuitive front‑end interfaces and scalable backend services
- Design and maintain RESTful APIs and deployment pipelines
- Write clean, well‑documented, testable code; participate in code reviews
- Stay current on AI/ML advancements and evaluate new technologies
- Collaborate with data scientists, engineers, and product teams to embed AI into clinical development tools
- Monitor production systems and optimize performance
Who You Are
- Full‑stack engineer with strong experience building AI‑enabled applications
- Deep understanding of modern AI/LLM capabilities, limitations, and best practices
- Strong communicator who can work across scientific and technical teams
Minimum Requirements
- Bachelor’s or Master’s in CS, Engineering, Math, or related field
- 5+ years full‑stack development experience
- Expertise with Vue.js or React, plus backend frameworks (FastAPI, Django, Flask, Next.js)
- 2+ years building or deploying AI/ML applications
- Experience with REST APIs, prompt engineering, and containerized workflows (Docker, Kubernetes)
- Strong automated testing skills (unittest, jest, Playwright)
- Familiarity with Agile development
- Experience with AWS, Snowflake, and scalable system design
- Experience integrating LLMs, RAG systems, or chatbots
Preferred
- Experience with LLM fine‑tuning, AI agents, HuggingFace, LangChain, TensorFlow, or PyTorch
- Experience with Office.js add‑ins, WebSockets, JWT, or CRDTs (Yjs)
- Background using NLP/LLMs on clinical text or knowledge of clinical development
The role focuses on supporting, stabilizing, and enhancing automation and AI-driven processes in production environments.
You will work closely with development, business, and infrastructure teams to ensure high availability, reliability, and continuous improvement of automation solutions.
Job Description Experience: 3–5 Years Daily Responsibilities: RPA & Agentic AI Support (Primary Focus) Provide L2/L3 production support for UiPath bots and Agentic AI-driven workflows Support Document Understanding pipelines (classification, extraction, validation issues) Monitor bot and agent execution, identify failures, and perform root cause analysis (RCA) Troubleshoot queue failures, bot breakdowns, credential issues, and orchestration failures Assist in maintaining AI decision flows, agent handoffs, and execution consistency Development & Enhancement Design and enhance automation workflows with robust exception handling and retry mechanisms Support end-to-end automation lifecycle (development, testing, deployment, production support) Implement improvements to increase bot/agent efficiency and reduce failure rates UiPath Platform Expertise Work extensively with: UiPath Orchestrator (Queues, Jobs, Triggers, Assets, Logs) Unattended bots (primary), with exposure to attended bots Debug and optimize automation workflows and production issues Support integrations with enterprise systems (e.g., SAP, AS400, web applications) Production Monitoring & Incident Management Monitor automation processes and ensure SLA compliance Handle incident management, problem management, and change requests Review logs, identify patterns, and implement preventive fixes Enhance alerting and monitoring mechanisms for proactive issue resolution Collaborate with Business Analysts, Developers, and Infra teams Participate in release planning and production deployment activities Maintain runbooks, SOPs, and knowledge base documentation Ensure adherence to governance and automation standards Basic Qualifications / Requirements 3–5 years of experience in RPA development and production support Strong hands-on experience with: UiPath (Orchestrator, workflows, debugging) UiPath Document Understanding Exposure to Agentic AI / AI-driven automation concepts Experience supporting production environments (incident, problem, change management) Knowledge of: SQL and relational databases API integrations and data handling Experience with SAP / AS400 integrations is a plus Familiarity with programming/scripting (VB.NET, Python, or similar) Strong analytical and troubleshooting skills Preferred / Nice-to-Have Skills Exposure to Microsoft ecosystem: Azure services Power BI / Power Platform Copilot / AI services Experience with: Azure Kubernetes Service (AKS) or containerized environments DevOps pipelines (CI/CD, release management) Knowledge of Enterprise Monitoring & Observability: Application Insights Azure Monitor Logging frameworks and alerting systems Understanding of: Agent frameworks and AI orchestration architectures Data platforms (e.g., Cosmos DB, ADLS, Fabric) Key Competencies Strong troubleshooting and debugging mindset Ability to work in Agile/Scrum environments Effective communication with technical and business teams Proactive approach to monitoring and issue prevention Ability to correlate technical failures with business impact 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: $92,000.00
- $138,000.00 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.
and scaling AI agents — across our customer segments via consulting (SI/GSI) and technology (ISV) partners.
You will work closely with partners to build AgentCore-powered solutions that leverage agent orchestration, memory, tool
integration, and identity management capabilities, positioning AWS as the choice for enterprise agentic AI workloads.
This role requires a unique blend of strategic thinking, technical depth in agentic AI architectures, and business development
acumen. You will help partners understand and capitalize on the AgentCore value proposition — including its managed runtime, built
-in agent-to-agent communication, and seamless integration with Bedrock (model access, Guardrails, Knowledge Bases).
The ideal candidate will have experience creating, communicating, and driving successful partnership strategies at scale, ideally
with a background in sales or business development within the AI/ML or cloud infrastructure space. You should possess a
demonstrated ability to think strategically about business, product, and technical challenges — particularly around emerging
agentic AI patterns — and leverage data to uncover opportunities for AgentCore adoption and partner-led revenue growth.
Key job responsibilities
* Lead the development and execution of AIML go-to-market strategies for partners
* Collaborate closely with Sales, Customer Success, Marketing, and Product teams to drive comprehensive partnership initiatives
* Create scalable programs and deliver insightful business reviews to unblock partner challenges and drive growth
* Develop operational planning documents and serve as an AIML subject matter expert supporting broader internal teams
About the team
The AWS Data and AI Partner GTM team accelerates growth through our biggest bets and amplifying our most impactful partners. We focus on partners with the highest potential for impact, investing in key ISVs, systems integrators, and high-potential startups who can accelerate adoption of strategic AWS services and initiatives. Through technical leadership, partner channel experience, and go-to-market expertise, we create repeatable models that empower both our partners and AWS field teams to accelerate service adoption and deliver customer outcomes.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.- 6+ years of developing, negotiating and executing business agreements experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience
- Experience managing joint GTM success with technology partners, including development and tracking of joint sell-with and sell-through business activities
- Familiarity with AWS Partner Network (APN) programs, competency frameworks, or marketplace listings- Experience interpreting data and making business recommendations
- Familiarity with agentic AI frameworks and patterns (e.g., multi-agent orchestration, tool-use, RAG, memory/state management)
- Working knowledge of AWS AI/ML services, particularly Amazon Bedrock, SageMaker, and related infrastructure
- Understanding of LLM-based application architectures including agent runtimes, guardrails, and identity/access patterns
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , CA, Mountain View - 162,7 ,200.00 USD annually
USA, CA, San Francisco - 162,7 ,200.00 USD annually
USA, NY, New York - 162,7 ,200.00 USD annually
USA, WA, Seattle - 147,9 ,100.00 USD annually
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.
Talent Acquisition Manager – AI Infrastructure & Engineering
San Francisco, California
Hybrid Working
We are expanding our global team and launching a new office in San Francisco.
WNTD is looking for an experienced Talent Acquisition Manager to join our Talent Solutions team and support the continued growth of AI infrastructure and accelerated compute platforms across North America.
This role will support one of the most significant AI infrastructure expansion programmes currently underway, focused on building next generation platforms powered by NVIDIA accelerated compute.
You will work closely with senior technical leaders to attract and hire talent across the full infrastructure stack including software engineering, AI platforms, GPU environments and large scale compute infrastructure.
This is a delivery focused role supporting high growth engineering programmes across AI infrastructure and cloud platforms.
The Role
You will lead hiring across multiple engineering disciplines spanning software engineering, AI infrastructure platforms and high performance compute environments.
Working closely with technical leadership and programme stakeholders, you will build pipelines of high quality candidates and manage fast moving hiring plans across several technical workstreams.
Key Responsibilities
• Build and manage talent pipelines across software engineering, AI infrastructure and GPU compute environments
• Proactively source talent across the United States through mapping, referrals and direct outreach
• Screen candidates for technical capability, experience and long term fit
• Partner with engineering leaders to define hiring priorities and role requirements
• Maintain clear tracking of hiring pipelines and delivery progress
• Support wider Talent Solutions activity during peak delivery phases
• Ensure a professional and consistent candidate experience
• Champion fair and inclusive hiring practices
Key Experience
• Proven experience hiring across complex engineering environments
• Strong track record building pipelines across software and infrastructure roles
• Comfortable engaging with technical stakeholders and discussing engineering topics
• Excellent communication and stakeholder management skills
• Strong organisation with the ability to manage multiple roles simultaneously
What We Offer
• Competitive salary and benefits
• Opportunity to support one of the fastest growing AI infrastructure build programmes globally
• Growth within a high performing delivery focused team
• Hybrid working model
• A collaborative culture that values ownership, pace and problem solving
Additional Requirements
• Ability to commute to the San Francisco office
• No visa sponsorship available
• Hybrid working model
Python AI Engineer (Prompt & Agentic Systems)
Location: Hybrid –Atlanta, GA (3 days a week onsite)
Client: Retail client
About the Role
We’re looking for a hands-on engineer who can build AI-enabled applications end-to-end using Python, with strong skills in prompt engineering and agentic system design (multi-agent/orchestrated AI workflows). You’ll design, develop, and productionize intelligent features—ranging from retrieval-augmented generation (RAG) to autonomous tasking agents integrated with internal tools and APIs.
Key Responsibilities
- Design & Build AI Services: Develop Python-based back-end services that integrate LLMs for reasoning, extraction, summarization, and decision support.
- Prompt Engineering: Craft, version, and evaluate prompts/system instructions; design guardrails, test prompt variants, and optimize for reliability, latency, and cost.
- Agentic Systems: Architect and implement autonomous/multi-agent workflows—planning, tool-use, memory, error recovery, and human-in-the-loop controls.
- RAG Pipelines: Implement document ingestion, chunking, embeddings, vector search (semantic/re-ranking), and grounding strategies.
- Evaluation & Observability: Define metrics and build eval suites for quality (accuracy, factuality, safety), and establish tracing/telemetry for LLM calls.
- API & Tool Integrations: Enable agents to use tools (internal APIs, search, databases, workflow engines); handle auth, rate limits, and fallbacks.
- MLOps / AIOps: Package, containerize, and deploy services (Docker/K8s); manage keys, secrets, CI/CD; support canary rollouts and cost governance.
- Security & Compliance: Apply data privacy principles, PII handling, redaction, prompt injection defenses, and audit logging.
- Cross-Functional Collaboration: Partner with product, data, and security teams to translate requirements into reliable AI features.
Required Qualifications
- Strong Python (typing, async, testing, packaging) and experience building production APIs/services (FastAPI/Flask).
- Hands-on with LLMs (OpenAI, Azure OpenAI, Anthropic, etc.) and embedding/RAG workflows.
- Proven prompt engineering experience (few-shot strategies, tool-use instructions, output schemas, function/tool calling).
- Experience with agent frameworks or custom agent orchestration (e.g., LangGraph/LangChain/AutoGen, or in-house equivalents).
- Vector databases (e.g., FAISS, Chroma, Pinecone, Weaviate) and search relevance tuning.
- Familiar with MLOps/DevOps: Docker, CI/CD, monitoring (Prometheus/Grafana), logging (OpenTelemetry), secrets management.
- Testing & Evals: unit/integration tests, offline evals, golden datasets, regression checks.
- Practical understanding of AI safety/guardrails (prompt injection, data leakage, jailbreak prevention).
Nice to Have
- Experience with Azure (or AWS/GCP) AI services, key vaults, and networking.
- Knowledge of Model Context Protocol (MCP) or tool-server patterns for secure tool access.
- Experience with retrievers (BM25, hybrid search), re-rankers, or LlamaIndex/LangChain.
- Familiarity with streaming UIs and structured outputs (JSON, Pydantic schemas).
- Background in LLM finetuning, RLHF/DPO, or synthetic data generation.
- Front-end basics for AI UX (React/Next.js) or chat UI patterns.
- Domain knowledge in HR/ATS, customer support, or internal enterprise workflows.
