EYPeople Consulting-HRT AI-Senior
About this role
The opportunity
As an AI in HR Senior Consultant within People Consulting, you will help clients identify, design and implement AI-enabled solutions across the HR and workforce lifecycle. You will combine HR functional knowledge, consulting skills and an understanding of AI capabilities to translate business challenges into practical, responsible and scalable solutions.
You will work with HR leaders, functional consultants, product owners, data specialists and technical teams to define use cases, redesign processes, develop functional requirements, support solution implementation and drive adoption and value realization.
Your Technical Responsibilities
- Assess HR processes and identify high-value AI, GenAI and agentic AI opportunities.
- Facilitate discovery workshops with HR and business stakeholders.
- Translate business needs into use cases, personas, user journeys, functional requirements and acceptance criteria.
- Redesign HR processes and operating models to incorporate human–AI collaboration.
- Develop client-ready Solutions, Proof of Concepts, Tools and Accelerators for AI in HR
- Maintain MS Copilot assets portfolio related to AI in HR
- Define functional logic, knowledge requirements, prompts, workflows, guardrails and escalation paths.
- Coordinate with architects, developers, data teams and vendors to translate functional designs into deployable solutions.
- Lead functional testing, user acceptance testing and validation of AI outputs.
- Develop and integrate LLM-based solutions (OpenAI, Anthropic, Mistral, Azure OpenAI, etc.) for real-world enterprise use cases.
- Build and maintain RAG (Retrieval-Augmented Generation) pipelines involving embedding generation, document chunking, and vector search using relevant tools such as FAISS, Pinecone, or Weaviate.
- Implement prompt engineering, fine-tuning, and model evaluation techniques for optimizing responses and accuracy.
- Deploy AI models and services using cloud AI platforms (AWS Bedrock, Azure AI, Vertex AI)
- Work with data pipelines to preprocess, clean, and structure data for model ingestion.
- Develop API interfaces for integrating AI services into existing HR platforms and applications.
- Ensure strong adherence to DevOps/MLOps practices, including versioning, CI/CD automation, monitoring, and rollback strategies.
- Collaborate with the architecture and DevOps teams for containerized deployments using Docker and Kubernetes.
- Implement logging, monitoring, and performance tracking for deployed AI models and APIs.
- Continuously explore emerging AI frameworks, open-source models, and new deployment patterns to enhance solution design.
- Support responsible AI assessments covering privacy, security, bias, transparency and human oversight.
Your Management & Collaboration Responsibilities:
- Collaborate with HR Functional Consultants, AI Architects and cross-functional teams to convert solution blueprints into implementable modules.
- Participate in technical discussions, design reviews, and sprint planning to ensure smooth delivery.
- Support project managers in defining realistic timelines and technical dependencies.
- Maintain high-quality documentation for models, APIs, and data pipelines.
- Contribute to proofs of concept (POCs) and internal accelerators showcasing new AI capabilities.
- Assist in evaluating third-party tools, APIs, and frameworks for AI adoption within enterprise systems.
Your People Responsibilities (If Applicable):
- Support peer learning through internal demos and technical discussions.
- Share best practices in AI standards, prompt design, and data preparation.
Requirements (Qualifications):
Education:
- BE/BTech with 4–8 years of total experience, including 1–2 years of relevant AI/ML or GenAI project 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
- Experience in applying responsible AI and model governance principles
- Agile/DevOps delivery experience
EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
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