Design and implement AI workflows, develop machine learning models, integrate them into applications, and ensure compliance with AI governance.
Job Summary & Responsibilities
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.
Required Skills:
- Hands-on experience with agentic AI, orchestration, or intelligent automation platforms (UiPath strongly preferred).
- Strong experience building and deploying ML models using DataRobot or comparable platforms.
- Solid experience working with Snowflake and/or Databricks for data and ML workloads.
- Proficiency in Python; experience with SQL and API-based integrations.
- Strong understanding of ML lifecycle, model evaluation, and production deployment.
- Exposure to LLMs, prompt engineering, RAG, and AI agents in enterprise environments.
- Experience operating AI solutions in regulated industries (financial services, healthcare, etc.).
- Familiarity with MLOps, feature stores, and model monitoring practices.
Preferred Skills:
- Experience with Agentic AI and AI workflow orchestration.
- Exposure to Generative AI (LLMs, prompt engineering, copilots, or AI assistants).
- Experience building or supporting Intelligent Document Processing (IDP) solutions.
- Knowledge of OCR, Computer Vision, and document classification/extraction techniques.
- Familiarity with Machine Learning concepts, model integration, or ML platforms.
- Experience integrating AI and automation solutions with enterprise platforms (e.g., CRM, ServiceNow, core banking systems).
Required Experience:
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
- Minimum of 6 years of experience building production-grade AI, ML, or automation solutions and AI Technology.
Preferred Experience:
- Master's in Computer Science, MIS, or related degree.
- Financial industry or banking background.
- Experience with Salesforce Agentforce or Salesforce platform integrations.
- Experience contributing to AI architecture standards or internal platforms.
Top Skills
Databricks
Datarobot
Python
Rest Apis
Salesforce
Snowflake
SQL
Uipath
Valley Bank Morristown, New Jersey, USA Office
70 Speedwell Ave, Morristown, New Jersey, United States, 07960
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What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
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