Senior AI Engineer

About the Role

Youll own the architecture, development, and deployment of next-generation scalable agentic AI systems that reshape how organizations operate. These solutions will autonomously orchestrate multi-step workflows, analyze real-time data streams, surface predictive insights, and embed decision-making across finance, sales, operations, and more. Youll partner with product, data science, RPA, security, and business teams to drive end-to-end impact.

Responsibilities

• Develop robust, production-grade AI agents tailored to solve real-world enterprise challenges.
• Collaborate across technical and business teams to ensure agent success at every stage.
• Design serverless, event-driven workflows usingAzure Functions,Logic Apps, andPower Automate.
• Build data pipelines and train ML models (predictive analytics, anomaly detection, recommendation engines) usingAzure ML,Databricks, andPython.
• Integrate AI agents with enterprise systems likeSAP HANA,Salesforce,Snowflake,Kafka, andRPA platforms (UiPath)for seamless data exchange.
• Establish observability, monitoring, and alerting usingAzure Monitorto meet SLAs and reliability targets.
• Define architecture patterns, reusable components, and governance frameworks to ensure security, compliance, and scalability.
• Lead code reviews, mentor junior engineers, and champion best practices in version control (Git) and agile ceremonies.
• LeverageMicrosoft AI Foundryto build and deploy AI agents, ensuring they meet enterprise standards and requirements.
• Copilot Studio (Optional)

Cross-Functional Collaboration

Work closely with:

• Data Scientists & Machine Learning Engineers for model development and integration
• Scrum Masters, QA Engineers & DevOps Personnel to ensure smooth delivery and deployment
• Product Managers aligning agent capabilities with business goals
• UX Designers crafting intuitive agent interactions and interfaces
• Enterprise Architects ensuring scalability and ecosystem alignment
• Security & Compliance Teams meeting regulatory and governance requirements
• Business Stakeholders / SMEs defining agent 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

What You Bring

• A strong sense of ownership and responsibility
• Ability to work autonomously within cross-functional teams
• Maturity in navigating complex systems and dynamic priorities
• Passion for building transformative AI systems and solving meaningful problems