Job Description

Role Title AWS AI Lead

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Location In office / Hybrid | Chennai /Bangalore/ Hyd

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Experience Range 6 to 10 years

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Competency Area AWS AI / ML / GenAI

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Role Summary

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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.

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Required Primary Skills

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- Amazon Bedrock
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- Amazon SageMaker
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- RAG
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- Prompt engineering
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- Python
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- Model evaluation
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Secondary Skills

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

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- Bedrock, SageMaker and AWS AI service integration
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- RAG, embeddings, vector databases and foundation model concepts
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- Python, APIs, model evaluation and MLOps fundamentals
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- Responsible AI, guardrails, security and performance considerations
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Key Responsibilities

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- Lead AI / ML / GenAI implementation squads.
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- Translate business problems into AI use cases and implementation backlogs.
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- Review models, prompts, RAG flows, evaluation, security and observability.
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- Coordinate across architects, data engineers, application teams and business stakeholders.
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- Coach engineers and contribute reusable AI patterns and accelerators.
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Preferred Certifications

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- AWS Certified AI Practitioner
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- AWS Certified Machine Learning Engineer - Associate
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- AWS Certified Solutions Architect - Associate
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Expected Deliverables

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

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- B.E. / B.Tech / M.Tech / MCA or equivalent degree in Computer Science, Information Technology, Engineering or related discipline.
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- Hands-on delivery experience aligned to the stated experience range and role scope.
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📌 AWS AI Lead (Bengaluru)
🏢 Sonata Software
📍 Bengaluru