People Consulting-AI in H2R-Manager

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Role: AI in HR Manager

The opportunity

As an AI in HR Manager part of our People Consulting team you will be responsible for developing and implementing AI-powered solutions and GenAI applications. You will work hands-on with Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) frameworks and cloud-native AI tools to deliver intelligent scalable and secure enterprise solutions.

You will play a pivotal role in guiding teams defining AI architecture blueprints and making strategic technology decisions that enable scalable secure and responsible AI adoption across global client engagements.

Your Technical Responsibilities

• Lead the development of client-ready Solutions Proof of Concepts Tools and Accelerators for AI in HR
• Manage the development and maintenance of MS Copilot assets portfolio related to AI in HR.
• Architect and design Agentic AI and GenAI-based HR solutions integrating Large Language Models (LLMs) Multimodal Models and custom-trained ML models into enterprise systems.
• Define and implement end-to-end AI solution architectures for HR applications from data ingestion vectorization and storage to model orchestration inference APIs and integration with business workflows.
• Hands-on experience with RAG (Retrieval-Augmented Generation) architectures including vector databases (e.g. FAISS Pinecone Weaviate Chroma) and embedding pipelines.
• Deep understanding of Model Context Protocol (MCP) and modern AI agent frameworks ensuring interoperability and modular AI service composition.
• Build and operationalize LLM pipelines and integrate with cloud AI services (AWS Bedrock Azure OpenAI Google Vertex AI).
• Lead initiatives in AI in HR system modernization refactoring existing applications to integrate AI capabilities.
• Collaborate with cloud and DevOps teams to establish CI/CD pipelines for AI in HR.
• Provide technical direction in selecting the right AI tools frameworks and deployment strategies to align with enterprise scalability and compliance requirements.
• Maintain awareness of the rapidly evolving AI ecosystem evaluating new frameworks open models (Llama Mistral Falcon etc.) and emerging trends in GenAI and MCP.
• Develop and interpret advanced HR analytics models to provide actionable insights utilizing predictive analytics and machine learning for workforce trends and decision-making.
• Ensure AI governance data privacy model security and responsible AI practices are embedded in solution delivery.

Your Managerial Responsibilities:

• Lead a techno-functional team of AI in HR consultants to design and deliver enterprise-grade AI frameworks and solutions.
• Translate business goals into technical AI in HR roadmaps and guide the architecture and engineering decisions to achieve them.
• Review project designs code and architecture to ensure performance maintainability and adherence to best practices.
• Oversee project scheduling budgeting and resource management while ensuring timely delivery and quality.
• Act as a trusted advisor to client leadership on AI in HR strategy implementation approach and technology selection.
• Establish AI in HR architecture standards and reference models for reuse across engagements.
• Build internal capabilities through knowledge-sharing sessions POCs and internal accelerator initiatives.
• Foster collaboration with internal AI teams across the globe as well as with ecosystem partners for solution innovation.

Your People Responsibilities:

• Foster teamwork and lead by example nurturing a culture of continuous learning and innovation in AI technologies.
• Mentor and coach the AI in HR and People Consulting teams to strengthen hands-on expertise in GenAI frameworks and architectural patterns.
• Participate in organization-wide AI competency-building initiatives technical workshops and internal communities of practice.
• Possess excellent communication and presentation skills comfortable representing the organization at client meetings tech conferences and leadership reviews.

Requirements (Qualifications):

Education:

• BE/BTech/MCA with 812 years of experience including at least 35 years of AI/ML/GenAI architecture and solutioning experience.
• MBA/ MTech (with relevant specialization) will be considered an additional bonus

Mandatory Skills:

• In-depth understanding of end-to-end HR process lifecycle
• Programming: Python (preferred) Java or
• AI/ML Expertise: Experience with LLMs (GPT Claude Llama Mistral) fine-tuning prompt engineering embeddings vector search
• Architectural Experience: RAG design Model Context Protocol (MCP) multi-agent system design microservices integration integration/ interface across HR systems
• Cloud AI Platforms: AWS Bedrock Azure OpenAI GCP Vertex AI
• Data & Storage: SQL/NoSQL (MySQL MongoDB) Vector Databases (Pinecone FAISS Weaviate) Redis
• Security & Compliance: OAuth/SAML data governance model safety and observability frameworks
• Data visualization: Power BI Tableau
• Version Control & Collaboration: Git/GitHub Jira Confluence
• Familiarity with AI-driven software agents using LangGraph or CrewAI
• Experience in Agile/Scrum/SAFe methodologies

Preferred Skills:

• Experience in implementation of HRMS platforms (Workday SAP SuccessFactors etc.)
• Experience with multi-modal AI (text image speech integration)
• Knowledge of transformer architecture internals quantization and fine-tuning optimization
• MLOps & Deployment: Docker Kubernetes MLflow Kubeflow CI/CD pipelines monitoring (ELK/Splunk/Prometheus)
• Contributions to open-source AI projects or participation in AI research/innovation initiatives

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