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Open nowPosted 257 days ago

Lead GenAI Engineer

Go Digital Technology Consulting LLP10 open roles

Where
Pune
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Your applicationOpen nowLead GenAI EngineerGo Digital Technology Consulting LLP · Pune

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Share of postings closed within
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  2. 4.5%3 days
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  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 257 days ago

The posting

Lead GenAI Engineer

Location: Remote

Job Type: Full-time

Experience: 5–9 years

Cloud Requirement: AWS Mandatory (Amazon Bedrock & SageMaker)

About the Role We need a technical leader to own the architecture and deployment of our Generative AI systems entirely on AWS. This is a hands-on leadership role-you will be making the big architectural calls, mentoring a talented team, and personally building the most complex parts of our GenAI platform. Because our infrastructure is heavily cloud-native, deep and proven, experience with Amazon Bedrock and SageMaker is a hard requirement. If you enjoy owning a GenAI strategy end-to-end and scaling systems securely in the cloud, we want to talk to you.

What You'll Do

  • Architect and lead the development of end-to-end GenAI systems, covering everything from data ingestion to deployment and observability.
  • Build and scale solutions using Amazon Bedrock and SageMaker JumpStart, while integrating complementary services like OpenSearch Serverless.
  • Drive technical direction for complex RAG architectures (GraphRAG, agentic RAG) and multi-agent orchestration.
  • Lead and mentor a team of AI engineers and data scientists, growing their technical depth through design and code reviews.
  • Own the "FinOps" of our GenAI workloads-managing token economics, caching strategies, and provisioned throughput to keep costs in check.
  • Ensure enterprise-grade security and compliance by strictly applying AWS best practices (IAM least-privilege, KMS encryption, VPC isolation).

What We’re Looking For

  • 5-9 years in software engineering, ML, or data science, including 1-2+ years operating in a lead or architectural role.
  • 2+ years of hands-on experience actively shipping Generative AI products into production.
  • AWS Mastery: Extensive, hands-on experience provisioning and scaling models via Amazon Bedrock and SageMaker, alongside strong Infrastructure-as-Code skills (Terraform, CDK).
  • High-level proficiency in Python, the AWS SDK (boto3), and building asynchronous APIs (like FastAPI).
  • Expertise in agentic workflows (LangGraph, CrewAI) and prompt engineering at scale.
  • Excellent communication skills with the ability to translate technical trade-offs to executives and business stakeholders.

Bonus Points If You Have

  • Active AWS Certifications (e.g., AWS Certified Machine Learning - Specialty, or Solutions Architect).
  • Experience fine-tuning models or managing custom model deployments on Bedrock.
  • A background working in regulated industries (healthcare, finance) where navigating strict data privacy compliance is crucial.
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