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 8–12 years of experience, including at least 3–5 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 Node.js
• 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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