EY

Senior People Consulting – AI in H2R

EY

full-time

Posted on:

Location Type: Office

Location: Noida • 🇮🇳 India

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Job Level

Senior

Tech Stack

AirflowAWSAzureCloudDockerGRPCJavaJavaScriptJenkinsKubernetesMicroservicesMongoDBMySQLNode.jsPythonRedisTableau

About the role

  • Develop client-ready Solutions, Proof of Concepts, Tools and Accelerators for AI in HR
  • Maintain MS Copilot assets portfolio related to AI in HR
  • Develop and implement Agentic AI and GenAI-based microservices and APIs for AI in HR
  • 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.
  • 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.

Requirements

  • Education: BE/BTech
  • 4–8 years of total experience, including 1–2 years of relevant AI/ML or GenAI project experience.
  • Mandatory Skills:
  • Understanding of end-to-end HR process lifecycle
  • Experience with prompt optimization and evaluation
  • Programming: Python (preferred), Java, or Node.js
  • AI/ML Frameworks: LangChain, LlamaIndex, Hugging Face Transformers, OpenAI API, Azure OpenAI, or Anthropic API
  • LLM Expertise: Experience with GPT, Claude, Llama, Mistral, or other open-source LLMs
  • RAG Frameworks: Pinecone, FAISS, Chroma, or Weaviate
  • Cloud AI Platforms: AWS Bedrock, Azure Cognitive Services, Google Vertex AI
  • APIs & Integration: REST/gRPC APIs, Swagger/OpenAPI, Postman
  • Data & Storage: MySQL, MongoDB, Redis, or vector stores
  • DevOps/MLOps: Git, Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins), MLflow (nice to have)
  • Testing: PyTest, Postman, and API-level testing
  • Version Control: Git/GitHub, Bitbucket
  • Data visualization: Power BI, Tableau
  • Preferred Skills:
  • Experience in implementation of HRMS platforms (Workday, SAP SuccessFactors, etc.)
  • Familiarity with LangGraph or CrewAI for agentic workflows
  • Basic knowledge of transformer architecture internals
  • Experience working with data pipelines (Airflow, Prefect)
  • Awareness of responsible AI and model governance principles
  • Agile/DevOps delivery experience
Benefits
  • Competitive salary
  • Flexible work hours
  • Professional development budget
  • Home office setup allowance
  • Global team events

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonJavaNode.jsLangChainLlamaIndexHugging Face TransformersOpenAI APIAzure OpenAIPineconeFAISS
Soft skills
collaborationcommunicationproject managementtechnical discussionsdesign reviewssprint planningdocumentationproblem-solvingtimelines managementevaluation