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

EY

Tirupati

On-site

INR 2,500,000 - 4,500,000

Full time

7 days ago
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Job summary

EY is seeking a Senior Consultant - AI/ML in Tirupati, India, to lead AI/ML assessments, design transformation roadmaps, and implement AI solutions across client environments. The role combines consulting with solution architecture and technical delivery to operationalize AI-driven initiatives.

The ideal candidate has hands-on expertise across ML, NLP, GenAI, and cloud AI platforms, with strong client-facing consulting and communication skills.

Qualifications

  • 6-8 years of overall IT experience with a focus on AI, ML, 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 and AI deployment practices.
  • Proven AI transformation initiatives from ideation to production.

Responsibilities

  • Lead and execute AI/ML assessments to evaluate analytics and AI maturity across clients.
  • Design and drive AI transformation roadmaps aligned with business objectives.
  • Architect and implement AI/ML solutions leveraging ML, NLP, CV, and GenAI tech.
  • Build ML pipelines, training workflows, features, and deployment architectures.
  • Design Generative AI solutions using LLMs, RAG, AI Agents, and enterprise frameworks.
  • Collaborate with stakeholders to define use cases and measurable success criteria.
  • Lead PoCs, pilots, and deployments ensuring scalability, security, governance.
  • Develop architecture diagrams, implementation plans, and runbooks.
  • Coordinate with cloud, security, data, and application teams for delivery.
  • Stay updated on AI technologies and provide strategic client recommendations.

Skills

AI/ML assessments
Generative AI
Model deployment
NLP
Vector Databases
Prompt Engineering
AI governance
Client-facing consulting
Communication skills

Tools

Azure OpenAI
OpenAI
Anthropic
Azure Machine Learning
Databricks
LangChain
Semantic Kernel
AutoGen
CrewAI

Job description

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.

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