Senior AI Engineer - Digital Engineering Operations

Ernst & Young LLP ( EY India ); Bengaluru; On-site; INR 2,800,000 - 4,600,000; Full time

Job summary

Ernst & Young LLP (EY) in Bengaluru is seeking a Senior TechOps – Digital Engineering Operations – AI Engineer to design, develop, and operationalize intelligent AI agents and autonomous workflows leveraging LLMs, AI services, and enterprise integrations.

The role requires strong expertise in AI engineering, automation, software development, and cross-functional collaboration to deliver scalable, secure, and business-impacting Agentic AI solutions in EY's Global Delivery Services.

Qualifications

• Hands-on experience with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and agent orchestration frameworks.

Responsibilities

• Design, develop, and deploy Agentic AI solutions leveraging LLMs, multi-agent architectures, retrieval systems, and AI orchestration frameworks.

Skills

LLMs

Prompt engineering

RAG

AI agents

Agentic AI

NLP

APIs

Tools

LangChain

Semantic Kernel

LangGraph

CrewAI

AutoGen

Job description

Position Title:

TechOps - Senior – Digital Engineering Operations – AI Engineer

About Global Delivery Services

Global Delivery Services refers to EY's worldwide network of service delivery centers. The GDS team plays an important role in EY’s strategy by ensuring effective support to EY’s growth agenda. Our journey started in 2002 with approximately 200 people. Today we stand at 80,000+ professionals in ten locations around the world. We operate in Argentina, China, Hungary, India, Philippines, Poland, Sri Lanka, Mexico, Spain and the United Kingdom. Client service is focused on providing Consulting, Assurance, Tax, Strategy & Transactions, and Knowledge support to our clients around the world. The teams enable account teams worldwide to provide seamless, high-quality, value-added support, helping deliver exceptional client service. Enablement Services provides cost-effective, high-skilled, and innovative services to support EY’s global and local enablement teams. Markets, BMC, AWS, Finance and Accounting, Risk Management, Procurement, People Shared Services, IT Service Delivery and IT Global Infrastructure services, are among the services offered by Enablement Services.

The team brings the desired environment, technologies and skilled teams together for facilitation, rapid prototyping and innovative thinking. The competencies offered include analytics, digital, user experience, mobile technology, infrastructure, Microsoft technologies and open innovation.

The Opportunity

As a Senior in EY GDS Tech Ops practice, you will be responsible for designing, developing, and operationalizing intelligent AI agents and autonomous workflows that leverage LLMs, AI services, and enterprise integrations. The role requires strong expertise in AI engineering, automation, software development, and cross‑functional collaboration to deliver scalable, secure, and business‑impacting Agentic AI solutions.

Your Key Responsibilities

Responsible for decision‑making, optimizing processes, resource management, and overseeing team management as needed for task execution. Accountable for allocating personnel, supervising team members, assigning tasks, ensuring that the team has the necessary tools and support to succeed in their roles and optimizing and evaluating their performance to meet organizational goals.

Design, develop, and deploy Agentic AI solutions leveraging Large Language Models (LLMs), multi‑agent architectures, retrieval systems, and AI orchestration frameworks to automate complex business and engineering workflows.

Architect and implement AI‑powered autonomous workflows and intelligent agents capable of reasoning, planning, decision‑making, and executing tasks across enterprise systems.

Integrate LLMs, NLP, Computer Vision, and other AI/ML services into enterprise applications and platforms through APIs, SDKs, and cloud‑native architectures.

Identify, analyze, and transform repetitive and high‑value operational and engineering processes into scalable AI and automation solutions.

Develop custom applications, services, and automation logic using Python and modern AI frameworks to connect disparate systems and enable end‑to‑end workflow automation.

Collaborate with cross‑functional teams to define agent behaviors, tool integrations, guardrails, evaluation frameworks, and success metrics for AI solutions.

Monitor, maintain, troubleshoot, and continuously optimize AI agents and automated workflows to ensure reliability, scalability, security, and performance.

Establish technical standards, reusable components, best practices, and reference architectures for Agentic AI and automation implementations.

Create and maintain technical documentation, solution designs, operational runbooks, and deployment guidelines for AI‑powered automation solutions.

Collaborate closely with AI Platform, Engineering, Operations, and Business teams to identify, integrate, and operationalize AI services, tools, accelerators, and enterprise AI capabilities.

Evaluate emerging AI technologies, frameworks, and agent orchestration platforms, recommending innovative solutions that drive business value and operational efficiency.

Drive adoption of AI, Agentic AI, automation solutions, and reusable accelerators across engagements, practices, and client programs.

Provide technical leadership and mentorship to engineers, contributing to solution design reviews, code quality, architecture governance, and engineering best practices.

Support business development activities related to AI and automation, including solution design, proposals, client workshops, demonstrations, and technical presentations.

Ensure all AI and automation solutions comply with organizational security, governance, risk management, privacy, and responsible AI standards.

Contribute to resource planning and technical execution by estimating effort, prioritizing work, coordinating with stakeholders, and ensuring successful delivery of AI initiatives.

Skills and attributes for success

Hands‑on experience with Large Language Models (LLMs), prompt engineering, Retrieval‑Augmented Generation (RAG), AI agents, and agent orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar technologies.

Strong understanding of Generative AI, NLP, machine learning concepts, and integration of AI services into enterprise workflows.

Experience integrating AI, automation, and enterprise systems through REST APIs, SDKs, event‑driven architectures, and cloud‑native services.

Ability to analyze complex business and engineering processes and design scalable Agentic AI and intelligent automation solutions that deliver measurable business value.

Experience developing and deploying autonomous workflows leveraging AI agents, tool calling, workflow orchestration, and decision‑making frameworks.

Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud, including AI and machine learning services.

Knowledge of vector databases, embeddings, knowledge graphs, semantic search, and enterprise data integration patterns is highly desirable.

Experience building AI, GenAI, automation solutions, accelerators, and reusable frameworks within managed services or large‑scale enterprise environments is preferred.

Understanding ITSM, ITIL, DevOps, MLOps, LLMOps, and operational governance practices is an added advantage.

Familiarity with AI governance, Responsible AI principles, security, privacy, and regulatory compliance requirements.

Excellent communication and stakeholder management skills, with the ability to collaborate effectively across AI, engineering, operations, platform, and business teams.

Ability to mentor team members, contribute to technical leadership, and drive the adoption of Agentic AI, automation, and engineering best practices across engagements.

What we look for

Passionate and curious technologists with a strong interest in Generative AI, Agentic AI, intelligent automation, and emerging AI technologies, coupled with hands‑on experience in Python development and enterprise integrations.

Continuous learners who stay current with advancements in LLMs, AI agents, RAG architecture, agent orchestration frameworks, and cloud‑based AI services.

Strong problem solvers with the ability to analyze complex business challenges, identify automation opportunities, and design innovative AI‑driven solutions.

Self‑motivated professionals who take ownership of outcomes and proactively troubleshoot, optimize, and enhance AI‑enabled workflows and systems.

Collaborative team players who can effectively partner with AI, engineering, platform, operations, and business stakeholders in distributed, hybrid, and global work environments.

Engineers with a strong customer and business‑value mindset, capable of translating requirements into scalable, secure, and impactful AI solutions.

Detail‑oriented professionals who maintain high standards for code quality, testing, documentation, governance, and operational excellence.

Individuals with strong communication and presentation skills, able to articulate technical concepts to both technical and non‑technical audiences.

Pro‑active, motivated professionals who embrace innovation while balancing Responsible AI principles, security, compliance, and enterprise governance requirements.

Mentors and knowledge sharers who contribute to team growth, promote engineering best practices, and help drive enterprise adoption of Agentic AI and automation capabilities.

What we offer you

At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.

Embark on a transformative career journey with us and indulge in a suite of premium benefits, encompassing exclusive health and wellness packages, enticing rewards, and cutting‑edge learning opportunities that empower you to continually grow and excel in your professional and personal development.