Description
Responsibilities include but are not limited to:
- Design and implement agentic AI workflows using UiPath and Salesforce Agentforce, combining LLMs, rules, APIs, and ML models for end‑to‑end automation.
- Develop reusable agent frameworks and components to standardize and accelerate AI solution delivery.
- Build, train, and deploy machine learning models (classification, regression, time‑series, anomaly detection) using DataRobot, leveraging Snowflake and Databricks for large‑scale data engineering.
- Integrate ML models into enterprise workflows, APIs, and downstream applications.
- Engineer integrations across enterprise systems using REST APIs, event-driven architectures, and robust data pipelines.
- Support CI/CD and MLOps practices for scalable model deployment, monitoring, retraining, and lifecycle management.
- Ensure compliance with AI governance and model risk policies, maintaining monitoring, documentation, and audit readiness.
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