Tech S And T-Technical Architect-Manager-GDSN04

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. 

Consulting – Technical Architect / Manager – AI Agentic Platform Engineering, Python & Java Services:

At EY, we’re all in to shape your future with confidence.  

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.​  

Join EY and help to build a better working world.  

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.

Our innovation specialists serve the GDS Client Service and Enablement Services teams, along with Service Lines, Core Business Services and Sectors. 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.

About EY.ai Center for Reimagination

This hiring is for the EY.ai Center for Reimagination, an AI-first innovation and engineering group focused on shaping next-generation enterprise experiences, digital humans, agentic AI platforms and reusable technology assets for client transformation. The Center brings together product thinking, software engineering, AI model integration, experience design, cloud-native architecture and responsible AI practices to rapidly prototype, industrialize and scale differentiated solutions across sectors.

As part of this Center, the selected candidate will contribute to building secure, observable and production-ready AI-native platforms that combine Python-led backend services, agentic orchestration, LLM integrations, automation and enterprise-grade delivery practices. The role is intended for candidates who can help convert emerging AI concepts into scalable engineering patterns, reusable assets and client-ready solutions.

The Opportunity

We are looking for a Technical Architect / Manager for the EY.ai Center for Reimagination who can lead backend engineering for enterprise-grade digital, AI-native and agentic platforms, with strong depth in Python and working knowledge of Java and Go-based services. The role will define scalable architecture patterns across APIs, services, LLM integrations, agentic frameworks such as Microsoft Agent Framework, Azure AI Foundry / Foundry SDK, OpenAI Agents SDK, Semantic Kernel, AutoGen, LangChain / LangGraph, CrewAI, LlamaIndex Workflows and MCP-enabled tool orchestration, along with automation and robotics-enabled solutions. The candidate will guide engineering teams and translate business requirements into secure, observable and maintainable backend and agentic AI solutions that can be reused across Center-led innovation, client transformation and AI platform delivery.

The successful candidate will combine hands-on engineering credibility with architecture governance, delivery ownership and team leadership. This role requires the ability to make pragmatic design decisions, mentor engineers, review critical code paths and ensure that platform components are built for reliability, scale and long-term maintainability.

Your Key Responsibilities

• Own backend and agentic platform architecture for Python-led platform components across APIs, services, automation utilities, AI/LLM integrations, multi-agent workflows, Microsoft Agent Framework, Azure AI Foundry, OpenAI Agents SDK, Semantic Kernel, AutoGen, LangChain / LangGraph, CrewAI, LlamaIndex Workflows, MCP-based tool integration, robotics-enabled solutions and enterprise integration layers.
• Define design principles, reference patterns, coding standards and reusable engineering assets for backend teams.
• Translate functional and non-functional requirements into concrete architecture decisions covering scalability, security, performance, reliability and maintainability.
• Lead technical design reviews, code reviews, dependency assessments and production-readiness checks before major releases.
• Guide engineers on Python service design, Java service integration, API contracts, database access patterns, error management and automated testing.
• Partner with product owners, architects, DevOps teams and security stakeholders to align technology choices with business outcomes and delivery priorities.
• Drive CI/CD discipline, environment readiness, observability, logging, monitoring, vulnerability remediation and release governance.
• Identify delivery risks early, remove technical blockers, manage dependencies and ensure the team has the right tools, standards and support to execute effectively.
• Mentor senior developers, support capability building and create a culture of engineering excellence, documentation and reusable delivery practices.
• Contribute to estimation, sprint planning, backlog refinement, stakeholder communication and technical decision-making across delivery pods.

Skills and attributes for success

Must-have Python and engineering skills 

• Strong hands-on Python & Java programming background for backend services, automation, scripting and enterprise integration.
• Proven experience designing REST APIs, microservices, event/message-based integrations and service-to-service communication patterns.
• Strong understanding of SQL/relational databases, data modelling, query optimisation, transaction handling and integration with application services.
• Experience with CI/CD, Git-based version control, automated testing, code quality gates, release management and DevOps practices.
• Ability to define architecture decisions, document trade-offs and govern implementation quality across multiple engineers.
• Security-first mindset covering secure coding, secrets handling, dependency hygiene, vulnerability remediation and compliance-aware delivery.
• Mandatory experience with AI engineering concepts, LLM-based solution design, prompt/orchestration patterns and safe integration of AI capabilities into enterprise applications.
• Hands-on knowledge of relevant AI agentic frameworks and platforms such as Microsoft Agent Framework, Azure AI Foundry / Foundry SDK, OpenAI Agents SDK, Semantic Kernel, AutoGen, LangChain / LangGraph, CrewAI and LlamaIndex Workflows, including autonomous workflow design, tool/function calling, MCP-based tool integration, multi-agent orchestration, human-in-the-loop patterns, memory, planning and AI-enabled SDLC acceleration.
• Ability to evaluate and select the right agentic framework based on use case complexity, orchestration model, model/provider compatibility, tool ecosystem, MCP/A2A readiness, deployment model, governance, observability, enterprise security and production support requirements.
• Working understanding of model access patterns through Azure OpenAI, OpenAI APIs, Microsoft Foundry model endpoints and enterprise AI tooling, including embeddings, retrieval, file search, code interpreter, web search, memory, safety controls and evaluation workflows.
• Understanding of robotics, automation platforms, robotic process automation or robotics-integrated digital solutions, with the ability to connect software engineering patterns to physical or process automation use cases.
• Strong communication, stakeholder management, coaching and team leadership skills.

Ideally, you’ll also have 

• Experience with cloud-native architecture, containers, Kubernetes, serverless patterns, platform engineering or infrastructure automation.
• Exposure to AI-assisted engineering, agentic workflows, engineering productivity tooling or AI-enabled SDLC acceleration.
• Experience in regulated or security-sensitive domains such as banking, telecom, enterprise security or product engineering.
• Experience managing technical delivery across distributed teams, multiple workstreams or vendor/partner engineering groups.

What We Look For 

• We look for people who combine deep engineering craft with practical delivery ownership. The ideal candidate should be comfortable writing high-quality Python code, solving production-grade problems, collaborating with distributed teams and bringing a disciplined, security-aware mindset to client delivery.
• This role is suited for a senior lateral hire who can contribute immediately as a hands-on engineer, grow into technical leadership responsibilities and help EY deliver reliable, modern and intelligent enterprise solutions.

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. 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.

Benefits: 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.

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.  

 
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