Generative AI/ML Lead

2 days ago


Mumbai, Maharashtra, India dentsu Full time ₹ 15,00,000 - ₹ 20,00,000 per year

Job Description

Role Summary

We are looking for a
Generative AI/ML Lead
with advanced
cloud architecture expertise
, deep knowledge of
RAG and agentic AI patterns
, and hands-on leadership in delivering enterprise-grade AI solutions. This role combines
strategic vision
with
technical depth
, leading a team of engineers to implement AI-powered applications at scale, including
edge and hybrid deployments
.

Key Responsibilities

  • Strategize
    GenAI or ML solution architecture
    across cloud, edge, and hybrid environments.
  • Experience in evaluating LLM applications and developing observability frameworks
  • Research and implement latest technology and frameworks
  • Experience working with diffusion models like Stable Diffusion, MidJourney, Runway, Imagen, Veo etc.
  • Experience in working with structured data along with LLMs frameworks
  • Lead design and implementation of
    RAG-based
    knowledge systems and
    agentic AI workflows
    .
  • Select and integrate
    enterprise-grade AI models
    (OpenAI, Anthropic, Mistral, LLaMA, custom fine-tuned models).
  • Drive
    cloud-native AI deployments
    leveraging AWS, Azure, and GCP AI services.
  • Architect
    LLMOps
    pipelines for scalable AI model lifecycle management.
  • Implement
    AI governance, risk management, and compliance frameworks
    for regulated industries.
  • Lead
    PoCs and pilots
    , then guide them to production-grade rollouts.
  • Evaluate and optimize
    AI cost, performance, and security
    trade-offs.
  • Mentor and manage AI engineers, setting
    best practices for RAG, agentic, and edge AI
    . Be responsible and own delivery outcomes for all GenAI initiatives, ensuring scope, timelines, and quality targets are met.
  • Collaborate with business stakeholders to
    translate needs into AI-powered products
    .
  • Establish
    AI monitoring and observability
    (drift detection, hallucination tracking, usage analytics).

Required Skills

  • 8–15 years of technology experience, with
    4+ years in AI/ML
    and
    2+ years in GenAI
    .
  • Proven leadership in
    cloud AI architectures
    (AWS Bedrock/SageMaker, Azure OpenAI, GCP Vertex AI).
  • Strong expertise in
    RAG architectures, embeddings, and semantic search
    .
  • Experience in
    agentic AI frameworks
    (LangGraph Agents, Autogen, CrewAI, OpenAI/Google Agent SDK).
  • Advanced knowledge of
    vector stores, distributed search, and multi-modal AI
    .
  • Proficiency in
    edge AI deployments
    and low-latency AI inference optimization.
  • Expertise in
    cloud networking, identity, and security
    for AI workloads.
  • Strong understanding of
    AI product lifecycle
    , from ideation to production.
  • Excellent
    stakeholder management
    and
    team leadership
    skills.
  • Step in as a
    hands-on problem solver
    to debug, optimize, or redesign solutions when engineers encounter roadblocks.
  • Conduct
    code and architecture reviews
    to maintain engineering excellence.

Preferred Skills

  • Experience in build, test and deploy various ML models
  • Experience in building MCP, A2A protocol
  • Experience with
    AI marketplaces and model hosting
    .
  • Multi-cloud AI cost optimization strategies.
  • Contributions to
    AI architecture standards
    in enterprise settings.


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