About the Role
You’ll 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. You’ll 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 few use cases.
Role-Lead AI developer / Technical design lead -AI
Location- Pan India (Bangalore, Pune is primary)
Experience Band- 4 Years up to 12 Years
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 integrationProduct Managers & UX Designers – aligning agent capabilities with user needsEnterprise Architects & DevOps Engineers – ensuring scalability and deployment efficiencySecurity & Compliance Teams – meeting regulatory and governance requirementsBusiness Stakeholders & SMEs – defining use cases and validating outcomesChange Management & Enablement Teams – supporting adoption and training effortsTechnology & Tools
Languages & Platforms : Python, Power Apps, Power Automate, Databricks, SnowflakeEnterprise Systems : SAP HANA, Kafka, UiPathAI Platforms : Microsoft AI Foundry ( highly preferred ), Copilot Studio ( optional )Cloud & ML Tools : Azure Machine Learning, Azure DevOps, GitHubData & Observability : Vector Databases, Azure MonitorVision & 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 solutionsStrong technical depth in AI / ML, cloud platforms, and agentic system designAbility to navigate ambiguity, drive clarity, and influence across functionsPassion for building transformative AI systems that solve meaningful problems