Agentic AI Developer
- Tata Consultancy
- 5 - 10 years
- Bengaluru
- 1 month ago
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Job Description
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.
- 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.
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)
- Proven experience leading AI engineering teams and delivering enterprise-grade solutions
- Strong 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
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data Platform EngineerEmployement Type: Full timeContact Details:
Company: Tata ConsultancyLocation(s): Bengaluru
Keyskills: Agentic AI sales alerting salesforce tensorflow use cases devops pytorch sap hana architecture azure snowflake python github ux sap predictive analytics ai databricks machine learning compliance azure ml kafka agile finance opencv
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