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. .