Senior AI Engineer
5 hours ago
Senior AI Engineer
About the Role
You'll 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. You'll 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 using Azure Functions, Logic Apps, and Power Automate.
- Build data pipelines and train ML models (predictive analytics, anomaly detection, recommendation engines) using Azure ML, Databricks, and Python.
- Integrate AI agents with enterprise systems like SAP HANA, Salesforce, Snowflake, Kafka, and RPA platforms (UiPath) for seamless data exchange.
- Establish observability, monitoring, and alerting using Azure Monitor to 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.
- Leverage Microsoft AI Foundry to 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
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