4Bell Technology

Staffing & Recruiting

AGENTIC AI Engineer(R-1892)

1,000,000.00-1,400,000.00/A

Any Degree

IT (Information Technology)

Contract

Bangalore/Bengaluru

13-Sep-2026

Agentic AI Python Machine Learning Microsoft AI Platform Microsoft AI Foundry Azure Cloud Databrick/Databricks TensorFlow/ PyTorch Azure IoT Hub

Job Description

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.

·         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
  • 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)