Artificial Intelligence Engineer

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 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 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
• 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