Artificial Intelligence Engineer

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 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

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