GenAI Tech Lead (AWS)
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.
Job Overview
We are seeking a highly skilled GenAI Lead to spearhead cutting-edge development projects in the field of Generative AI. This role involves leveraging advanced AI models, cloud technologies, and agile practices to deliver innovative solutions. The successful candidate will collaborate with cross-functional teams to design and implement scalable, efficient, and high-performing AI applications.
Key Responsibilities
Lead GenAI Development: Drive the development and deployment of Generative AI solutions using cutting-edge technologies such as Amazon Bedrock, AWS Bedrock Agents, and LangChain/LangGraph.
Build CI/CD Pipelines: Design, implement, and maintain robust CI/CD pipelines using AWS CodePipeline, AWS CodeBuild, and GitHub Actions.
Oversee Full-Stack Infrastructure: Manage full-stack development efforts with a strong focus on observability, system reliability, and scalable cloud infrastructure.
Implement AI Governance: Establish AI governance frameworks to ensure ethical, secure, and compliant deployment of AI technologies.
Stakeholder Collaboration: Partner with business and technical stakeholders to define project goals, technical requirements, and success metrics.
Agile Project Delivery: Utilize Agile methodologies to manage project workflows, sprint planning, and deliver high-quality results efficiently.
Drive AI Innovation: Stay updated with the latest trends in AI/ML and incorporate new AWS innovations into project strategies.
Required Skills and Experience
Mandatory
Generative AI Frameworks: Deep proficiency in Generative AI, Amazon Bedrock, LangChain/LangGraph, and LlamaIndex (or similar orchestration frameworks).
Backend Mastery: Strong expertise in Python development, Full Stack architectures, and FastAPI.
AWS Cloud Ecosystem: Hands-on experience with AWS cloud solutions, specifically Amazon Bedrock, AWS Lambda, Amazon API Gateway, Amazon DynamoDB, and Amazon RDS for PostgreSQL.
DevOps & Containers: Production experience with containers (Docker), container orchestration (Amazon ECS/EKS), and AWS DevOps tools.
Observability & Monitoring: Solid knowledge of AI observability tools and techniques (e.g., Amazon CloudWatch, AWS X-Ray, Arize, or TruLens) to ensure reliable performance.
AI Governance: Strong understanding of AI governance, data privacy, and ethical AI practices (e.g., Guardrails for Amazon Bedrock).
Experience: Minimum 8 years of professional experience in roles involving advanced AI and software development.
Preferred
Multi-Cloud Exposure: Experience with additional cloud providers such as Azure or GCP.
Frontend Basics: Familiarity with modern frontend technologies like React.
Leadership: Proven ability in stakeholder management, mentoring engineers, and cross-functional collaboration.
AI Assistance: Proficiency with AI-assisted development tools like Amazon Q Developer or GitHub Copilot.
Model Expertise: Familiarity with advanced LLMs such as Anthropic Claude, Amazon Titan, and Meta Llama.
Key Skills
Python, Amazon Bedrock, AWS Bedrock Agents, Amazon OpenSearch Service (Vector Engine), Amazon Bedrock Knowledge Bases, LangChain/LangGraph, LlamaIndex, RAG, FastAPI, AWS Lambda, DynamoDB/PostgreSQL, AWS Code Pipeline, CI/CD, Docker, ECS/EKS, Git, AI Observability, Amazon Q Developer / GitHub Copilot based development.
Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
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