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    Job · 21385828

    MUMBAI · FULLTIME

    Expert Sr Manager, AI Engineering

    Bain & Company

    Bain & Company

    Mumbai · onsite · Posted 3d ago

    Sourced fromNaukri
    Undisclosed8–12 yrsfulltimeMumbai

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    Section · 01

    About this role

    The Impact You'll Have
    Bain works with clients on board-level and executive priorities, helping deliver step-change results across growth, productivity, and resilience. In that context, AI is rarely a point solution. The most meaningful outcomes come from building AI as part of an integrated system that combines technology with redesigned processes, operating model changes, and adoption at scale across the organization.
    As an AI Engineering leader in AIS, you will support the building of the technical core within these transformations and work as part of broader Bain consulting teams to move solutions from prototype to real adoption. The result is measurable impact at the company or enterprise level and, in many cases, helps clients set new performance standards for their industries.


    The Role
    The Expert Senior Manager AI Engineer will architect, build, and scale next-generation generative AI systems and agentic solutions for Bain's clients. As a leader in the practice, you will sit at the intersection of advanced engineering, applied AI research, product strategy, and responsible AI governance. You will own the full lifecycle - from research and experimentation to production deployment and ongoing optimization - and guide teams across engineering, product, data science, ethics, and client stakeholders.
    You will have opportunities to work with major AI ecosystem partners through Bain's partnerships, collaborating on real client deployments and helping shape how emerging capabilities are applied in enterprise settings.
    Bain offers significant learning and growth opportunities through the breadth and depth of problems we solve, the level of impact we help clients achieve, and our apprenticeship model. You will learn while doing, with support from other experienced teammates, frequent feedback, and increasing responsibility over time.


    What You'll Do
    • Design, build, and deploy end-to-end generative AI systems, including multi-agent workflows and production-grade AI applications.
    • Architect multi-component pipelines, including:
      1. Retrieval-Augmented Generation (RAG)
      2. Fine-tuning and parameter-efficient tuning
      3. Embedding generation and optimization
      4. Hybrid retrieval strategies (vector, graph, keyword)
    • Integrate reasoning, tool use, function calling, and orchestration across complex workflows
    • Engineer advanced agentic systems, ensuring clear separation of concerns, robust memory architecture, and scalable tool ecosystems
    • Lead everything from early-stage research, model experimentation, and evaluation design to production system deployment
    • Oversee API development, microservices, CI/CD pipelines, observability, and cloud-native deployment
    • Build scalable GenAIOps processes for automated testing, regression evaluation, latency monitoring, and continual improvement
    • Balance performance, safety, responsible AI principles, and cost across system design:
      1. Implement guardrails, fallbacks, red-teaming strategies, and human-in-the-loop (HITL) workflows
      2. Partner with global ethics teams to ensure alignment with Bain's Responsible AI standards
    • Build automated evaluation suites integrating user signals, continual learning cycles, and ongoing model updates
    • Design and implement evaluation frameworks covering:
      1. Hallucination rate and factual consistency
      2. Relevance and precision/recall
      3. Latency, throughput, and system-level performance
      4. Cost tracking and efficiency
    • Partner closely with product, engineering, data science, ethics, and infrastructure teams to build robust, compliant AI systems
    • Act as a thought partner to executives and clients on AI strategy, architecture decisions, emerging capabilities, and implementation roadmaps
    • Mentor and upskill technical teams on best practices including RAG, agents, prompt engineering, and AI safety


    What We're Looking For
    • 8-12+ years in software engineering, ML engineering, or applied AI roles with significant hands-on building responsibilities
    • Demonstrated experience leading complex, multi-stack generative AI programs from conception through production
    • Strong executive communication skills with the ability to translate highly technical concepts to business stakeholders
    • Track record of leading engineering teams, mentoring technical talent, and collaborating with diverse cross-functional groups
    • Advanced prompt engineering, context engineering, and conversation design
    • Strong expertise in evaluation design, experimentation frameworks, and data labeling strategies for LLM apps
    • Deep experience with:
      1. Advanced RAG architectures (vector, hybrid, graph-based retrieval)
      2. Agentic architectures (multi-agent systems, tool selection, routing, memory, planning, reflection)
      3. ReAct, RLAIF, and other HITL + feedback loops
      4. AI-Specific Tools Frameworks - Orchestration frameworks, Vector and graph databases and Model + API ecosystems
    • Strong background in system design, architecture, and production-grade deployment
    • Deep familiarity with cost optimization and computational tradeoffs for LLM workloads
    • Comfort operating in high-ambiguity


    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

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    Section · 02

    Skills

    CI/CD Pipelinesai strategyautomated testingai engineerAi Researchgraph databasesai governanceLarge Language Models (LLMs)deploymentcloudData LabelingCommunication SkillsArchitecturebusiness strategyGenerative AiAPI DevelopmentData ScienceArtificial Intelligence

    Section · Company

    About Bain & Company

    Bain & Company

    Bain & Company

    Management Consulting

    3.5k+

    employees

    1973

    53 years old

    Boston, MA

    US

    ₹26.1L PA avg

    Avg at Bain & Company

    About

    We help you see the world differently, discover opportunities you may never have imagined and achieve results that bridge what is with what can be.

    Industries

    Management ConsultingConsulting

    Employee ratings

    10 reviews

    3.9/ 5

    Culture

    3.9

    Career growth

    3.2

    Work-life

    3.6

    Employees rate it well for

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