Tech S and T-AI Engineer-ISR-Senior-GDSF02

EY; Dadri; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

EY seeks a Senior Consultant in AI/ML with 6–8 years of IT experience to lead AI assessments, design transformation roadmaps, and deliver enterprise AI solutions. You will architect models, deploy Pipelines, and drive GenAI initiatives across client engagements, collaborating with cloud, security, and data teams to ensure scalable, governance‑driven implementations.

The role emphasizes hands‑on technical delivery, strong communication, and the ability to translate complex AI concepts into

Qualifications

• 6–8 years of IT experience focused on AI, ML, Data Science, and Generative AI solutions.
• Hands-on experience in ML model development and deployment.
• Experience with NLP, Deep Learning and Generative AI solutions.
• Proficiency with LLM platforms (Azure OpenAI, OpenAI, Anthropic).
• Knowledge of RAG architectures, Vector Databases, Prompt Engineering, and AI Agents.
• Python and ML frameworks (Scikit-Learn, TensorFlow, PyTorch).
• MLOps and AI deployment practices.
• Experience in AI opportunity assessments and AI adoption strategies.
• Experience delivering AI transformation initiatives from ideation through production deployment.
• Experience building enterprise AI applications, copilots, intelligent assistants, and automation solutions.
• Good understanding of AI governance, Responsible AI, security, compliance, and model monitoring.
• Strong client-facing consulting skills with the ability to present recommendations and technical solutions.
• Excellent communication, presentation, and documentation skills.

Responsibilities

• Lead and execute AI/ML assessments across client organizations.
• Design and drive AI transformation roadmaps aligned with business objectives.
• Architect and implement AI/ML solutions leveraging ML, NLP, CV, and Generative AI technologies.
• Build and optimize ML pipelines, model training workflows, feature engineering, and deployment architectures.
• Design Generative AI solutions using LLMs, Retrieval-Augmented Generation (RAG), AI Agents, and enterprise AI frameworks.
• Collaborate with business stakeholders to gather requirements, define use cases, and establish measurable success criteria.
• Lead PoCs, pilots, and production deployments while ensuring scalability, security, and governance compliance.
• Develop technical documentation including architecture diagrams, implementation plans, AI solution blueprints, and runbooks.
• Collaborate with cloud, security, application, and data engineering teams to ensure successful delivery.
• Stay current with emerging AI technologies and provide strategic recommendations to clients.

Skills

AI/ML expertise

NLP

Deep Learning

Generative AI

LLM platforms

RAG

Vector Databases

Prompt Engineering

AI Agents

Python

TensorFlow/PyTorch

MLOps

Governance & Security

Tools

Azure OpenAI

Azure Machine Learning

Databricks

LangChain

Semantic Kernel

AutoGen

CrewAI

Vector DBs

Job description

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Job Title: Senior Consultant – AI/ML

Experience: 6–8 Years

Job Summary

We are seeking a Senior Consultant with strong expertise in Artificial Intelligence, Machine Learning, Generative AI, and cloud-based AI platforms. The ideal candidate will have hands‑on experience in AI/ML assessments, solution design, model development, and enterprise‑scale AI transformation initiatives. The role requires a blend of consulting, solution architecture, and technical delivery capabilities to help clients adopt and operationalize AI‑driven solutions.

Key Responsibilities

• Lead and execute AI/ML assessments to evaluate current‑state analytics, automation, and AI maturity across client organizations.
• Design and drive AI transformation roadmaps aligned with business objectives, identifying opportunities for predictive analytics, intelligent automation, and Generative AI adoption.
• Architect and implement AI/ML solutions leveraging traditional machine learning, NLP, computer vision, and Generative AI technologies.
• Build and optimize machine learning pipelines, model training workflows, feature engineering processes, and deployment architectures.
• Design and implement Generative AI solutions using Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), AI Agents, and enterprise AI frameworks.
• Work closely with business stakeholders to gather requirements, define use cases, prioritize opportunities, and establish measurable success criteria.
• Lead proof‑of‑concepts (PoCs), pilots, and production deployments while ensuring scalability, security, and governance compliance.
• Develop technical documentation including architecture diagrams, implementation plans, AI solution blueprints, and operational runbooks.
• Collaborate with cloud, security, application, and data engineering teams to ensure successful solution delivery.
• Stay current with emerging AI technologies, frameworks, and best practices, and provide strategic recommendations to clients.

Required Skills & Experience

• 6–8 years of overall IT experience with strong focus on AI, Machine Learning, Data Science, and Generative AI solutions.
• Proven, hands‑on experience in:
• Machine Learning model development and deployment
• NLP, Deep Learning, and Generative AI solutions
• LLM platforms such as Azure OpenAI, OpenAI, Anthropic, or equivalent
• RAG architectures, Vector Databases, Prompt Engineering, and AI Agents
• Python, ML frameworks (Scikit‑Learn, TensorFlow, PyTorch)
• MLOps and AI deployment practices
• Strong experience in AI opportunity assessments and AI adoption strategies.
• Demonstrated experience delivering AI transformation initiatives from ideation through production deployment.
• Experience building enterprise AI applications, copilots, intelligent assistants, and automation solutions.
• Good understanding of AI governance, Responsible AI, security, compliance, and model monitoring.
• Strong client‑facing consulting skills with the ability to present recommendations and technical solutions.
• Excellent communication, presentation, and documentation skills.

Good to Have

• Advanced certifications in AI, Data Science, Cloud AI, or Enterprise Architecture.
• Hands‑on experience with Azure AI Foundry, Azure Machine Learning, Databricks, or equivalent AI platforms.
• Experience with LangChain, Semantic Kernel, AutoGen, CrewAI, or other agentic AI frameworks.
• Exposure to knowledge management, enterprise search, and intelligent document processing solutions.

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.