Job Title: AI Lead – Agentic AI
Location: NYC / Remote
Work Type: Contract
Experience: 12+ Years
Job Description:
Gen II Fund Services is seeking an experienced AI Lead with deep expertise in Agentic AI architectures, OpenAI / ChatGPT, and Python-based AI solutions to drive the design and implementation of intelligent, autonomous systems across enterprise platforms. This role will lead AI initiatives that enhance automation, decision-making, and operational efficiency within financial services and fund administration domains.
Key Responsibilities:
- Lead the architecture, design, and development of Agentic AI systems, including autonomous agents capable of planning, reasoning, tool usage, and multi-step execution.
- Design and implement AI solutions leveraging OpenAI / ChatGPT APIs, function calling, embeddings, and retrieval-augmented generation (RAG).
- Build scalable, production-grade AI services using Python, integrating LLMs with enterprise systems via RESTful APIs.
- Define AI solution architecture, security standards, and governance models aligned with financial services compliance requirements.
- Collaborate with business stakeholders to identify high-impact AI use cases such as document intelligence, workflow automation, knowledge assistants, and operational analytics.
- Guide teams on prompt engineering, model evaluation, observability, and performance optimization.
- Integrate AI agents with internal platforms, data sources, and third-party systems through secure API frameworks.
- Provide technical leadership, code reviews, and mentorship to AI and engineering teams.
- Ensure responsible AI practices including data privacy, model safety, and auditability.
Required Skills and Qualifications:
- 12+ years of overall IT experience with strong focus on AI/ML and intelligent automation.
- Proven hands-on experience with Agentic AI frameworks and multi-agent architectures.
- Strong expertise with OpenAI / ChatGPT APIs, including function calling, embeddings, and RAG implementations.
- Advanced proficiency in Python for AI application development.
- Solid experience building and consuming REST APIs and integrating AI services into enterprise platforms.
- Experience deploying AI solutions in cloud environments (Azure, AWS, or GCP).
- Strong understanding of data security, compliance, and governance in regulated environments.
- Excellent communication skills with the ability to lead discussions with technical and business stakeholders.