Assistant Director, Artificial Intelligence, NY

Assistant Director, Artificial Intelligence, NY

Job Title: Assistant Director, Artificial Intelligence

Reports to: Senior Director, Digital Transformation, Analytics

Location: New York

Salary Range: $120,000 - $130,000

This is a hands‑on role. The successful candidate will architect and build production AI systems directly, while owning delivery, quality, evaluation, and partner management across the AI Solutions Lab portfolio. The role reports to the Senior Director of Digital Transformation and head of the AI Solutions Lab.

• Deliver the next phase of the ISDA AI Solutions Lab’s buildout, helping move current AI initiatives from prototype/MVP stage toward robust, scalable and member‑ready delivery. Architect and build the next phase of AI agents, external and internal.
• Own the design and delivery of AI solutions that make ISDA standards and digital solutions more accessible, usable and AI‑ready for members.
• Help shape and scale the ISDA Knowledge Base and Assistant as the governed foundation for AI‑enabled access to ISDA standards, taxonomies and related IP.
• Oversee enhancement of priority AI capabilities including the CDM Coder, DRR Translator, Tracer, cross‑jurisdiction analysis and AI legal opinions initiatives.
• Help drive development and rollout of internal AI capabilities and agents aligned with the internal AI deployment roadmap.
• Define product requirements, broader Agents orchestration, architecture direction, evaluation harnesses and quality standards and delivery priorities across the AI Solutions Lab portfolio.
• Work closely with internal SMEs across CDM, DRR, legal, IT and product teams to ensure solutions are accurate, grounded and useful in real workflows.
• Reach out to members for pulse checks and convert member and stakeholder feedback into roadmap decisions, product refinements and delivery choices to maximize adoption.
• Help define practical connectivity and delivery models, including MCP servers and packaged AI Skills, so members can consume ISDA AI capabilities safely within their own environments.
• Contribute to broader ISDA AI strategy development, including alignment between external member‑facing AI solutions and internal AI deployment priorities.
• Lead AI quality, guardrails and governance across the Lab’s solutions, including evaluation harnesses, groundedness and traceability checks, observability and tracing, confidence frameworks, security and safe use boundaries, both internally and externally.
• Own cost aware design of AI workloads, balancing performance and reliability against inference and infrastructure spend.
• Manage relevant external partners and specialist vendors, ensuring work is aligned to ISDA’s priorities, timelines, architecture and ownership model.
• Support the Senior Director including for executive and board reporting by articulating progress, key risks, delivery needs and strategic value in a clear and concise way.
• Help build a durable internal AI capability for ISDA that protects ISDA IP, accelerates adoption of ISDA standards and reinforces ISDA’s strategic position in the market.
• Strong senior‑level experience (at least five years) leading the design and delivery of AI‑enabled products or platforms from prototype through controlled rollout and production, with a demonstrable track record of shipping production AI systems that serve real users.
• Hands‑on engineering ability in Python (and ideally Type Script/React for front end UI) and Java, and comfortable building production systems directly.
• Deep understanding of LLMs, retrieval‑augmented generation (including hybrid retrieval across semantic, graph and keyword search, with reranking and embedding‑model selection), knowledge bases, knowledge graphs and ontologies, agentic workflows and skills, evaluation methods (eval harnesses, LLM‑as‑judge, groundedness and faithfulness metrics, tracing), and model risk controls.
• Experience building secure, scalable and reliable AI solutions in enterprise environments, including governance, permissions, auditability and data protection including private retrieval architectures and ensuring proprietary data is not exposed to external model providers.
• H…