TechOps - DE - Automation - AI - Manager at EY

, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

19 Jun, 26

Salary

0.0

Posted On

21 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, FastAPI, LangGraph, Containerization, MongoDB, PostgreSQL, CI/CD, Observability, OOP, Debugging, Unit Testing, API Security, Docker, Microservices, Cloud Platforms, Agentic Workflows

Industry

Professional Services

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. 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.

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Responsibilities

This role involves leading the design, enhancement, and support of backend systems and AI agentic workflows, focusing on architecting scalable solutions using Python, FastAPI, and LangGraph. Key duties include identifying high-impact automation opportunities, defining architectural standards, and overseeing integrations with MongoDB and PostgreSQL.