Tech Lead for Authoring Enhancements and support

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 modern 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.

• Strong 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) on AWS.

• Understanding of application-level security, compliance, and cost optimization best practices in the cloud.

• Background in developing internal developer platforms, pipelines, or observability frameworks.

• Prior contributions to AI/ML product teams or open-source cloud frameworks.

We offer you a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.

DISCLAIMER:

Nothing in this job description restricts management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Alight business units.
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