Tech Lead for Authoring Enhancements and support

About the role

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.

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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Benefits

Additional Information

AWS Cloud & Generative AI Engineering Lead Location: Remote / Hybrid Experience Level: Senior / Principal (8+ years)

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Company Intel

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