AWS Cloud & Generative AI Engineering Lead
Location: Remote / Hybrid

Experience Level: Senior / Principal (8+ years)

Summary
We are seeking a seasoned Cloud engineer to design and build full-stack, cloud-native applications that merge up-to-date AI innovation with scalable, sustainable architecture. This role blends hands-on AWS development and driving enterprise-grade GenAI adoption across diverse products and teams.

Key Responsibilities
Architect and implement serverless, event-driven cloud applications using AWS services such as Lambda, API Gateway, DynamoDB, Step Functions, and S3.
Lead the design and integration of Generative AI workflows leveraging Amazon Bedrock, RAG pipelines, and knowledge-base-driven context engineering to deliver intelligent, reliable, and extensible AI capabilities.
Develop internal frameworks and reusable modules that enhance developer experience, maintainability, and cloud efficiency.
Collaborate cross-functionally with product, design, and data science teams to bridge business goals with scalable cloud solutions.




Champion accessibility-first design and inclusive engineering practices across products and internal tooling.
Mentor engineers and influence architectural direction aligned with organizational growth and sustainability objectives.

Required Qualifications
8+ years of experience in software engineering, cloud architecture, or full-stack application development.
Deep hands-on experience with AWS (e.g., Bedrock, Lambda, Step Functions, Redshift, Glue, ECS/EKS, IAM).
Proficiency in Python, TypeScript/Node.js, or similar languages for serverless development.
Solid grasp of context engineering, prompt orchestration, and LLM application design.
Proven success leading cross-functional engineering teams to innovate at the intersection of technology and business.
Commitment to accessibility and inclusive design principles.
Experience integrating agent-based architectures and retrieval-augmented generation (RAG

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