Job Title

Service line - Position Title: TechOps_SDT_AUTOMATION AI_Manager 2

Job Summary

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

- Robust 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

- 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

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.

📌 TechOps-SDT-AUTOMATION AI-Manager (Thiruvananthapuram)
🏢 EY
📍 Thiruvananthapuram