AWS AI Lead

Sonata Software

Bengaluru

Hybrid

INR 3,000,000 - 4,200,000

Full time

7 days ago
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Benefits offered by this job

AWS Certification
AWS Specialist Training
Career Growth

Job summary

Sonata Software is seeking an AWS AI Lead to head the delivery of AI, ML, and GenAI initiatives from Bengaluru. The role coordinates engineers, aligns technical outcomes with business needs, and ensures high-quality solution delivery.

The candidate will drive adoption of AWS Bedrock and SageMaker, manage backlogs, and mentor teams while guiding responsible AI safeguards and performance considerations.

Qualifications

  • 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.
  • Experience leading AI/ML/GenAI initiatives and solution delivery.
  • Strong knowledge of AWS AI services, Bedrock and SageMaker.

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.

Skills

Amazon Bedrock
Amazon SageMaker
RAG
Prompt engineering
Python
Model evaluation

Education

Bachelor's / Master in CS/IT/Engineering

Tools

LangChain
LlamaIndex
MLOps
APIs

Job description

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