AWS AI Lead

Location: In office / Hybrid

Work Location: bengaluru

Experience Range

6 to 10 years

Competency Area

AWS AI / ML / GenAI

Role Summary

The AWS AI Lead will lead delivery of AI, ML and GenAI use cases by coordinating engineers, reviewing solution quality and aligning technical outcomes to business needs.

Required Primary Skills
Amazon Bedrock
Amazon SageMaker
RAG
Prompt engineering
Python
Model evaluation

Secondary Skills
Vector databases
LangChain / LlamaIndex
MLOps
Responsible AI guardrails
API integration

Technical Skills
Bedrock, SageMaker and c service integration
RAG, embeddings, vector databases and foundation model concepts
Python, APIs, model evaluation and MLOps fundamentals
Responsible AI, guardrails, security and performance considerations

Key Responsibilities
Lead AI / ML / GenAI implementation squads.
Translate business problems into AI use cases and implementation backlogs.
Review models, prompts, RAG flows, evaluation, security and observability.
Coordinate across architects,



data engineers, application teams and business stakeholders.
Coach engineers and contribute reusable AI patterns and accelerators.

Preferred Certifications
AWS Certified AI Practitioner
AWS Certified Machine Learning Engineer - Associate
AWS Certified Solutions Architect - Associate

Expected Deliverables
AI solution design and technical backlog
Model / prompt evaluation evidence
Reusable AI patterns and accelerators
Delivery and quality tracking

Qualification
B.E. / B.Tech / M.Tech / MCA or equivalent degree in Computer Science, Information Technology, Engineering or related discipline.
Hands-on delivery experience aligned to the stated experience range and role scope.

Positive to have
AWS certification or active AWS certification plan.
Experience in reusable assets, accelerators, cloud competency building, customer workshops or proposal support.

📌 Aws Ai Lead Bengaluru
🏢 Sonata Software
📍 Bengaluru