About the Role

- Youll lead the architecture, development, and deployment of next-generation agentic AI systems that transform enterprise operations

- These intelligent agents will autonomously orchestrate workflows, analyze real-time data, and embed decision-making across domains like finance, sales, and operations

- Youll guide cross-functional teams, mentor engineers, and ensure technical excellence across all stages of delivery

- Microsoft AI Foundry will be a key platform for agent development, and Copilot Studio may be used optionally for a few use cases

Responsibilities

- Architect and lead development of scalable, production-grade agentic AI systems.

- Design serverless, event-driven workflows using Azure Functions, Logic Apps, and Power Automate.

- Build and optimize ML models for predictive analytics, anomaly detection, and recommendations using Azure ML, Databricks, and Python.

- Integrate agents with enterprise platforms such as SAP HANA, Salesforce, Snowflake, Kafka, and UiPath.

- Ensure observability and reliability through Azure Monitor, logging, and alerting frameworks.

- Define and enforce architecture patterns, reusable components, and governance standards.

- Lead code reviews, technical design sessions, and agile ceremonies.

- Leverage Microsoft AI Foundry to build and deploy agents that meet enterprise-grade standards.

Leadership Responsibilities

- Mentor and coach junior engineers, fostering a culture of innovation and technical excellence.

- Drive cross-team collaboration and alignment on agentic AI strategy and execution.

- Own delivery timelines, quality benchmarks,



and stakeholder communication.

- Champion best practices in DevOps, CI/CD, and model lifecycle management.

- Stay ahead of trends in AI, machine vision, and IoT to guide strategic decisions.

Cross-Functional Collaboration

Work closely with:

- Data Scientists &
- ML Engineers for model development and integration

- Product Managers &

- UX Designers aligning agent capabilities with user needs

- Enterprise Architects &

- DevOps Engineers ensuring scalability and deployment efficiency

- Security &

- Compliance Teams meeting regulatory and governance requirements

- Business Stakeholders &

- SMEs defining use cases and validating outcomes

- Change Management &

- Enablement Teams supporting adoption and training efforts

Technology &

- Tools

- Languages &
- Platforms:

Python, Power Apps, Power Automate, Databricks, Snowflake

- Enterprise Systems: SAP HANA, Kafka, UiPath

- AI Platforms: Microsoft AI Foundry (highly preferred), Copilot Studio (optional)

- Cloud &

- ML Tools:

Azure Machine Learning, Azure DevOps, GitHub

- Data &

- Observability:

Vector Databases, Azure Monitor

- Vision &

- IoT:

Azure IoT Hub, OpenCV, TensorFlow, PyTorch (for edge and vision-based agents)

What You Bring

- Proven experience leading AI engineering teams and delivering enterprise-grade solutions

- Solid technical depth in AI/ML, cloud platforms, and agentic system design

- Ability to navigate ambiguity, drive clarity, and influence across functions

- Passion for building transformative AI systems that solve meaningful problems

📌 Agentic AI Developer (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru