E
TechOps - DE - Automation - AI - Manager
Accepting applicationsEY · Bengaluru, Karnataka, India
Full-Time Mid_senior AIMentorPythonaiate
Posted
1 Jun
Category
Test
Experience
Mid_senior
Country
India
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.
AI Lead
The opportunity
This role provides the opportunity to lead the enhancement, scalability, and support of AI agentic solutions built using Python, FastAPI, and LangGraph. As a Technical Lead, you will guide engineering efforts, identify high-impact automation opportunities, define architectural standards, and drive the technical roadmap for intelligent AI automation systems across the organization.
Your Key Responsibilities
Lead the design, enhancement, and support of backend systems and AI agentic workflows
Architect scalable solutions using Python, FastAPI, LangGraph, and containerized environments
Identify, prioritize, and drive automation opportunities across AI-powered applications
Mentor and guide engineers; perform design/code reviews and uphold engineering best practices
Define patterns for multi-step agent workflows, state management, and agent reliability
Lead troubleshooting and performance optimization across backend services and AI agents
Collaborate with product, data science, and platform teams to align technical execution with business strategy
Oversee schema design and integrations for MongoDB and PostgreSQL
Establish standards for CI/CD, observability, and production readiness of AI automation solutions
Skills And Attributes For Success
Strong leadership with the ability to guide teams in complex backend and AI workflow development
Deep analytical and debugging capabilities across distributed and agentic systems
Ability to drive architectural decisions and ensure scalability, reliability, and performance
Proactive mindset for identifying automation opportunities and improving existing workflows
Excellent communication and stakeholder management skills
To qualify for the role, you must have
Degree in Engineering, IT, Computer Science
Core Python Expertise
Deep understanding of data structures (Lists, Dictionaries, Tuples, Sets) and OOP principles.
Strong experience designing modular, maintainable, high-performance Python applications.
Expertise in profiling, debugging, dependency management, and unit testing.
Hands-on experience designing schemas and integrating MongoDB and PostgreSQL.
FastAPI & Backend Architecture
Proven track record architecting and delivering production-grade APIs with FastAPI
Strong knowledge of Pydantic models, async/await patterns, authentication frameworks, and API security
Expertise with Docker, Docker Compose, YAML-based configurations, and container networking
LangGraph & AI Agentic Workflows
Experience architecting multi-step agent workflows using nodes, edges, and centralized state management
Ability to define patterns for conversation state handling, context propagation, retries, and fallback logic
Strong skills in debugging failed agent flows and tracing execution paths
Ideally, you’ll also have
Experience building microservices or distributed backend systems
Exposure to cloud platforms (AWS/GCP/Azure) and modern DevOps pipelines
Experience with LLM-based applications or AI automation tooling
Prior experience leading or mentoring engineering teams
What We Look For
A strategic technical leader passionate about AI automation and agentic system design
Someone who brings both architectural vision and hands-on engineering excellence
A leader who fosters collaboration, drives innovation, and ensures delivery of high‑quality AI capabilities
What We Offer
EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.
Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
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.
Show more Show less
AI Lead
The opportunity
This role provides the opportunity to lead the enhancement, scalability, and support of AI agentic solutions built using Python, FastAPI, and LangGraph. As a Technical Lead, you will guide engineering efforts, identify high-impact automation opportunities, define architectural standards, and drive the technical roadmap for intelligent AI automation systems across the organization.
Your Key Responsibilities
Lead the design, enhancement, and support of backend systems and AI agentic workflows
Architect scalable solutions using Python, FastAPI, LangGraph, and containerized environments
Identify, prioritize, and drive automation opportunities across AI-powered applications
Mentor and guide engineers; perform design/code reviews and uphold engineering best practices
Define patterns for multi-step agent workflows, state management, and agent reliability
Lead troubleshooting and performance optimization across backend services and AI agents
Collaborate with product, data science, and platform teams to align technical execution with business strategy
Oversee schema design and integrations for MongoDB and PostgreSQL
Establish standards for CI/CD, observability, and production readiness of AI automation solutions
Skills And Attributes For Success
Strong leadership with the ability to guide teams in complex backend and AI workflow development
Deep analytical and debugging capabilities across distributed and agentic systems
Ability to drive architectural decisions and ensure scalability, reliability, and performance
Proactive mindset for identifying automation opportunities and improving existing workflows
Excellent communication and stakeholder management skills
To qualify for the role, you must have
Degree in Engineering, IT, Computer Science
Core Python Expertise
Deep understanding of data structures (Lists, Dictionaries, Tuples, Sets) and OOP principles.
Strong experience designing modular, maintainable, high-performance Python applications.
Expertise in profiling, debugging, dependency management, and unit testing.
Hands-on experience designing schemas and integrating MongoDB and PostgreSQL.
FastAPI & Backend Architecture
Proven track record architecting and delivering production-grade APIs with FastAPI
Strong knowledge of Pydantic models, async/await patterns, authentication frameworks, and API security
Expertise with Docker, Docker Compose, YAML-based configurations, and container networking
LangGraph & AI Agentic Workflows
Experience architecting multi-step agent workflows using nodes, edges, and centralized state management
Ability to define patterns for conversation state handling, context propagation, retries, and fallback logic
Strong skills in debugging failed agent flows and tracing execution paths
Ideally, you’ll also have
Experience building microservices or distributed backend systems
Exposure to cloud platforms (AWS/GCP/Azure) and modern DevOps pipelines
Experience with LLM-based applications or AI automation tooling
Prior experience leading or mentoring engineering teams
What We Look For
A strategic technical leader passionate about AI automation and agentic system design
Someone who brings both architectural vision and hands-on engineering excellence
A leader who fosters collaboration, drives innovation, and ensures delivery of high‑quality AI capabilities
What We Offer
EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.
Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
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.
Show more Show less