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.
- Robust 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Tech S And T-Technical Architect-Manager-G (Karnataka)
🏢 EY
📍 Karnataka