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    Home/Jobs/Manager, Agentic AI, DTS - Global Capability Center

    Manager, Agentic AI, DTS - Global Capability Center

    Alvarez & Marsal

    Gurugram
    6-11 years
    Today
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    Gen AI
    Agentic AI
    RAG
    Embeddings
    Vector Database
    LangChain
    LLMOps
    prompt orchestration
    re-ranking
    LangGraph
    MAF
    Semantic Kernel
    CrewAI
    Python

    Description

    Alvarez & Marsal is a global consulting firm seeking a Manager for Agentic AI in their DTS Global Capability Center to lead AI solution design and deployment.

    Company: Alvarez & Marsal

    Role: Manager, Agentic AI, DTS - Global Capability Center

    Location: Gurugram, India

    Experience:

    • 6 - 11 years of experience in data science, machine learning, or AI
    • Strong recent experience in LLMs, Generative AI, and production AI systems
    • Proven experience designing and delivering AI/ML solutions across industries such as CPG, Retail, and Supply Chain

    Responsibilities:

    • Lead design, development, and deployment of Generative AI and LLM-based solutions
    • Architect and implement agentic AI workflows using modern frameworks
    • Design and operationalize RAG-based pipelines for accurate AI solutions
    • Develop and deploy machine learning and GenAI solutions on Azure
    • Establish and manage LLMOps practices including model lifecycle and CI/CD
    • Implement observability, telemetry, and tracing for GenAI systems
    • Define and maintain evaluation frameworks for LLM and agentic systems
    • Use Python for data preprocessing, model development, and AI workflow integration
    • Build and integrate REST APIs using Flask/FastAPI
    • Containerize models and applications using Docker
    • Collaborate with cross-functional stakeholders to deliver custom AI solutions
    • Drive production optimization of GenAI systems for accuracy and efficiency
    • Ensure adherence to responsible AI, governance, security, privacy, and compliance standards
    • Mentor and guide team members on GenAI best practices
    • Stay current with advancements in Generative AI and enterprise AI platforms

    Additional responsibilities:

    • Translate business needs into scalable AI solutions
    • Strong communication and stakeholder management
    • Team leadership

    More skills:

    Agentic AI workflows, Multi-agent systems, Tool calling, Memory and planning, Human-in-the-loop controls, RAG-based pipelines, Guardrails, Machine learning, Azure, Model lifecycle management, Prompt/version control, CI/CD pipelines, Experimentation, Deployment, Monitoring, Observability, Telemetry, Tracing, REST APIs, Flask, FastAPI, Docker, Cloud-native services, Responsible AI, Governance, Security, Privacy, Enterprise AI platforms

    Other:

    • Company culture values Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity
    • Robust performance development process promoting continuous learning and meritocracy
    • Top-notch training and on-the-job learning opportunities
    • Focus on employee well-being with benefits and personal support resources
    • Equal opportunity employer with nondiscrimination policy
    • No acceptance of unsolicited resumes from third-party recruiters

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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