AI​/ML Engineer; Banking Domain Exp

Title: AI / ML Engineer (With Banking Domain Exp)
Location:
Iselin, NJ (Hybrid, 3 days in a week from office)

Hiring Mode:
Only W2

Must have Banking Domain Exp

AI/ ML Engineer will leverage advanced AI models and Azure OpenAI services to develop innovative solutions for investment banking processes. The ideal candidate will have a strong background in investment banking, hands‑on experience with Microsoft Azure OpenAI, and expertise in Retrieval‑Augmented Generation (RAG).

• Develop autonomous AI agents capable of planning, decision‑making, and executing tasks to achieve specified user goals, with an emphasis on Python code generation for automation processes.
• Develop and Deploy LLM‑Based Agents:
  Build scalable AI agents leveraging frameworks like Lang Chain, Lang Graph, and custom runtimes to facilitate complex workflows and interaction models.
• Integration with External APIs & Services:
  Orchestrate AI agents to communicate seamlessly with enterprise APIs, databases, and cloud services, ensuring smooth operation within complex ecosystems.
• Create and optimize end‑to‑end pipelines for training, testing, and deploying models in production environments such as Azure ML, ensuring robustness and scalability.
• Utilize Microsoft Azure OpenAI services to build and optimize AI models.
• Contribute to building multi‑agent architectures fostering emergent behaviors, robustness, and trustworthiness for autonomous operations.
• Ensure compliance with data security, privacy policies, and industry regulations.
• Stay updated with the latest trends and advancements in AI, especially related to RAG and Azure OpenAI.

• 10 years of relevant experience in AI/ML, with at least 2 years focused on agentic AI, autonomous systems, or multi‑agent architectures.
• Hands‑on experience with multi‑agent systems, emergent behavior modeling, and ensuring system robustness and trustworthiness.
• Proven experience in investment banking or financial services.
• Good experience in Natural Language Processing (NLP).
• Extensive hands‑on experience with Microsoft Azure OpenAI services.
• Strong understanding and practical experience with Retrieval‑Augmented Generation (RAG).
• Proficiency in programming languages such as Python.
• Experience in deploying scalable, production‑ready AI solutions integrated within enterprise environments.
• Knowledge of AI model deployment and API integration.

• Certifications in Azure or AI‑related fields.
• Experience with large language models (LLMs) and their application in finance.
• Prior experience in developing secure and scalable AI solutions.