Continuum Resource Network

Technical staffing for EOR and MSP

Associate Director - AI Transformation

Technology & Systems ConsultingPosted on Nov 15

Full-timeNew York, NY, USAHybrid

About the Job

Requirements

At least 8 years of experience across artificial intelligence and machine learning, data science, or enterprise digital transformation, including substantial time in senior, client-facing delivery roles.
Deep hands-on command of Generative AI, including large language models, retrieval-augmented generation, and fine-tuning, and Agentic AI, including multi-agent orchestration, tool use, and workflow automation.
A proven track record leading complex enterprise AI transformation programs from strategy through production.
Ability to engage credibly with C-suite stakeholders on AI strategy and with engineering teams on technical architecture and delivery.
Exceptional communication and executive storytelling skills to make complex AI accessible to diverse stakeholders.

Responsibilities

Own end-to-end AI transformation programs from opportunity framing and AI roadmap design through deployment and value realization.
Lead executive-level AI strategy conversations on Generative AI adoption and agentic workflows with C-suite stakeholders; facilitate discovery sprints and AI readiness workshops.
Develop business cases connecting AI capabilities to measurable financial and operational outcomes and guide multi-year client AI adoption journeys.
Serve as the primary point of accountability for program delivery, stakeholder satisfaction, and commercial outcomes within managed accounts.
Lead AI solution design across Generative AI applications, agentic pipelines, retrieval-augmented generation systems, fine-tuned large language models, and production machine learning, ensuring alignment with Financial Services regulatory and risk requirements.
Partner with Solution Leads and cross-functional teams, including AI engineers, data scientists, and machine learning platform engineers, to drive production-ready, scalable, and compliant deployment of AI solutions at client sites.
Review and validate technical architectures and resolve delivery risks and architectural trade-offs with engineering teams.
Own account growth by identifying expansion opportunities, leading technical scoping, return-on-investment modelling, and solution framing for new engagements.
Develop thought leadership and represent the company at Financial Services AI conferences and industry forums.
Build and mentor on-site AI deployment teams at client organizations; develop AI playbooks, delivery methodologies, and reusable intellectual property accelerators.
Collaborate with firm leadership on hiring, capability building, and practice development.

Desired Qualifications

Deep Financial Services domain expertise in banking, payments, capital markets, or fintech, with hands-on AI applications to anti-money laundering, fraud, credit risk, or payments.
Familiarity with the Financial Services regulatory landscape, including risk and regulatory frameworks and explainability requirements.
Background at an AI-native company, enterprise AI lab, or as a senior AI or engineering leader within a Financial Services firm.
Strong technical foundation in artificial intelligence and machine learning demonstrated through hands-on work, published projects, or equivalent practical expertise.

Associate Director - AI Transformation

Continuum Resource Network · New York, United States (Hybrid) · Full-time · Posted 2026-11-15

Salary: USD 200,000–250,000

Workplace: hybrid

Description

We are looking for an experienced AI transformation leader ready to own client accounts and drive end-to-end AI programs. As Associate Director, you will serve as a senior AI voice within managed accounts, leading transformation programs from vision through production deployment across GenAI, Agentic AI, and ML in Financial Services. You will operate at the intersection of AI strategy and hands-on delivery, owning executive relationships while maintaining close oversight of technical execution. This is a leadership role with clear line of sight to Director-level progression.

WHAT YOU WILL DO:

AI Transformation Leadership

Own end-to-end AI transformation programs from opportunity framing and AI roadmap design through deployment and value realization.
Lead executive-level AI strategy conversations (GenAI adoption, agentic workflows) with C-suite stakeholders; facilitate discovery sprints and AI readiness workshops.
Develop business cases connecting AI capabilities to measurable financial and operational outcomes; guide multi-year client AI adoption journeys.
Serve as primary point of accountability for program delivery, stakeholder satisfaction, and commercial outcomes within managed accounts.

Solution Architecture and Delivery

Lead AI solution design across GenAI applications, Agentic pipelines, RAG systems, fine-tuned LLMs, and production ML, ensuring fit with FS regulatory and risk requirements.
Partner closely with Solution Leads and cross-functional teams including AI engineers, data scientists, and ML platform engineers to drive production-ready, scalable, and compliant deployment of AI solutions at client sites.
Review and validate technical architectures; resolve delivery risks and architectural trade-offs with engineering teams.

Growth and Team

Own account growth: identify expansion opportunities, lead technical scoping, ROI modelling, and solution framing for new engagements.
Develop thought leadership and represent the company at Financial Services AI conferences and industry forums.
Build and mentor on-site AI deployment teams at client organizations; develop AI playbooks, delivery methodologies, and reusable IP accelerators.
Collaborate with firm leadership on hiring, capability building, and practice development.

HOW SUCCESS IS MEASURED:

Revenue growth and expansion of AI transformation programs within managed accounts.
Production deployment of AI systems with measurable client-reported business impact.
Development and retention of high-performing Forward Deployed Engineering talent.
Creation of reusable accelerators, AI frameworks, and proprietary IP.

Requirements

REQUIRED:

8+ years across AI/ML, data science, or enterprise digital transformation with substantial time in senior, client-facing delivery roles.
Deep hands-on command of Generative AI (LLMs, RAG, fine-tuning) and Agentic AI (multi-agent orchestration, tool-use, workflow automation).
Proven track record leading complex AI transformation programs at large enterprises from strategy through production.
Equally credible with C-suite on AI strategy and with engineering teams on technical architecture and delivery.
Exceptional communication and executive storytelling, making complex AI accessible to diverse stakeholders.

BONUS SKILLS:

Deep FS domain expertise in banking, payments, capital markets, or fintech with hands-on AI application to AML, fraud, credit risk, or payments.
Familiarity with Financial Services regulatory landscape including Risk and Regulatory frameworks and Explainability requirements.
Background at an AI-native company, enterprise AI lab, or as a senior AI or engineering leader within a Financial Services firm.
Strong technical foundation in AI/ML demonstrated through hands-on work, published projects, or equivalent practical expertise.

Benefits

Variable incentive compensation (20%)
Health Care Plan (Medical, Dental & Vision)
Retirement Plan (401k, IRA)
Paid Time Off (Vacation, Sick & Public Holidays)
Training & Development

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About the Company

Continuum Resource Network

Technical staffing for EOR and MSP

Continuum Resource Network specializes in niche technical staffing in Manufacturing Engineering, AI, and Software Development. It serves Employer of Record (EOR) and MSP clients by providing high-volume recruitment, offering full-time contingency placements and contract staff augmentation, with recruiters focused on a single discipline and augmented by AI for broader talent reach while preserving personal interaction with clients and candidates. Its approach combines disciplined expertise, transparent communication, and agile support to deliver matches for roles like Autonomous Vehicle Operator, Software Engineer, and Systems Engineer. The goal is to provide scalable, reliable staffing for emerging technologies and project-based or long-term needs, differentiating from general firms through discipline-specific focus and a personal, transparent service model.

Company size: Not listed
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: Not listed

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