Overview

Service line - Position Title: TechOps – Digital Engineering Operations – AI Engineer - Manager

Responsibilities

• Lead and manage a team of AI Engineers, Developers, and Solution Architects, providing technical guidance, coaching, mentoring, and career development support.
• Create a high-performance culture focused on innovation, accountability, collaboration, and continuous improvement.
• Own end-to-end delivery of AI and automation engagements, ensuring quality, timelines, budget adherence, and stakeholder satisfaction.
• 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.
• 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.

Benefits

• 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. Learn more.
• Are you ready to shape your future with confidence? Apply today.
• To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need.
• Our Commitment: As a commitment, we persistently endeavour to embody our values, fulfil our purpose, and champion inclusiveness. Our dedication is to cultivate EY into an environment where diverse perspectives are celebrated, creating a supportive atmosphere for individuals to authentically be themselves and contribute their utmost.
• Professional Development: From entry-level employees to senior leaders, we believe in continuous learning. We offer opportunities to build new skills, take on leadership roles, and connect and grow through mentorship.
• People and Culture: In our dynamic workplace, diversity, equity, and inclusiveness are ingrained in our culture. We're united by a commitment to create an environment where every individual's differences are valued, practices are equitable, fostering a sense of belonging. Our shared values include integrity, respect, teaming, inclusiveness, energy, enthusiasm, courage to lead, and building relationships based on doing the right thing.
• How to Apply: If you are passionate to join us and are aligned with our commitment to building a better working world, we invite you to apply by completing our user-friendly form with personal and professional information and by providing your consent to data privacy.
• Successful candidates advance to a competency-based interview. If mutual interest persists, a job offer awaits.
• “We are an equal opportunity employer and are committed to Diversity, Equity & Inclusion”.
• 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.