Associate Director

Gotham Technology Group; New York (NY); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Gotham Technology Group is seeking an Associate Director, Responsible AI Solutions to advance the organization’s enterprise AI strategy and drive responsible adoption across teams. You will bridge technology, operations, and program groups to identify opportunities, evaluate emerging technologies, and guide scalable AI initiatives.

Reporting to the CTO, you will lead governance efforts, risk management, and organizational transformation, ensuring AI solutions are secure, compliant, and aligned

Qualifications

• Extensive experience in applied AI and enterprise tech transformation.
• Proven track record deploying practical AI solutions.
• Strong knowledge of generative AI, LLMs, RAG, and AI agents.
• Experience evaluating AI performance, security, and bias.
• Understanding AI governance, privacy, transparency, risk.
• Ability to assess architectures and third-party AI solutions.
• Experience with cross-functional stakeholder collaboration.
• Excellent communications for nontechnical audiences.
• Experience driving technology adoption and change initiatives.

Responsibilities

• Translate enterprise AI strategy into actionable initiatives.
• Collaborate with IT and business stakeholders to deploy AI solutions.
• Oversee governance and risk management for AI adoption.
• Evaluate AI architectures, models, and vendors.
• Ensure AI solutions integrate with existing systems.
• Provide guidance to ensure responsible AI practices.
• Lead training and change management for AI tools.

Skills

Applied AI

AI architecture

Governance

Stakeholder mgmt

Cross-functional teamwork

Enterprise transformation

Tools

TensorFlow

PyTorch

LangChain

RAG architectures

MLOps

Job description

Associate Director, Responsible AI Solutions

Duration: Permanent / Full-Time

Location: New York, NY (Hybrid – Generally 3 Days Onsite)

Position Overview

Our client is seeking an Associate Director, Responsible AI Solutions to help advance the organization's enterprise AI strategy and drive the responsible adoption and implementation of artificial intelligence across the organization.

Reporting to the Chief Information and Technology Officer, this individual will serve as a strategic and technical resource, bridging technology, business operations, and programmatic teams to identify opportunities for AI adoption, evaluate emerging technologies, and guide the implementation of practical, scalable AI solutions.

The successful candidate will help translate the foundation's existing AI strategy into actionable initiatives, working collaboratively with the existing IT organization and business stakeholders to ensure AI solutions are effective, secure, responsible, and aligned with the foundation's mission.

Key Responsibilities

AI Strategy, Solutions & Implementation

• Help execute and evolve the foundation's enterprise AI strategy by identifying, evaluating, and prioritizing opportunities for practical AI adoption.
• Assess, recommend, and guide the implementation of AI solutions, including generative AI, LLMs, RAG architectures, AI agents, and enterprise AI platforms.
• Partner with internal technology teams and external development resources to move AI initiatives from proof of concept into production.
• Evaluate AI architectures, models, vendors, and emerging technologies to determine their suitability for enterprise use.
• Establish and support processes for evaluating AI solution performance, accuracy, reliability, scalability, and business value.
• Provide technical guidance and oversight to ensure AI solutions integrate effectively with existing enterprise systems and workflows.

Responsible AI Governance & Risk Management

• Develop, refine, and implement responsible AI guidelines, governance practices, and operational safeguards.
• Evaluate AI solutions for potential risks involving data privacy, security, bias, transparency, accuracy, and model reliability.
• Establish appropriate human-in-the-loop controls, monitoring processes, and evaluation standards.
• Partner with IT, Information Security, Legal, Procurement, and business stakeholders to assess AI-related risks and third-party solutions.
• Apply relevant AI governance frameworks and industry standards, such as NIST AI Risk Management Framework, ISO 42001, and OWASP.
• Balance responsible AI practices with the organization's need to innovate and adopt emerging technologies.

Enterprise Adoption & Organizational Transformation

• Partner with business and programmatic teams to identify opportunities where AI can improve organizational effectiveness, workflows, and decision-making.
• Help employees understand, evaluate, and effectively use AI tools through training, education, and change management initiatives.
• Develop practical guidance and resources that encourage responsible AI adoption across technical and nontechnical teams.
• Serve as a trusted advisor and thought partner to existing IT employees, helping advance AI initiatives without duplicating or disrupting current efforts.
• Communicate complex AI concepts, capabilities, and risks in a clear and accessible manner to employees, stakeholders, and senior leadership.
• Monitor emerging AI trends and technologies and assess their potential relevance to the foundation's operations and mission.

Required Qualifications

• Significant experience in applied artificial intelligence, AI solutions architecture, AI product development, responsible AI governance, or enterprise technology transformation.
• Demonstrated involvement in designing, evaluating, implementing, or deploying practical AI solutions within an enterprise or organizational environment.
• Strong understanding of generative AI, large language models (LLMs), retrieval-augmented generation (RAG), AI agents, and emerging agentic architectures.
• Experience evaluating AI solutions for performance, accuracy, reliability, security, and responsible use.
• Understanding of AI governance principles, including data privacy, model bias, transparency, human oversight, and risk management.
• Ability to assess technical architectures, implementation approaches, and third-party AI solutions.
• Experience working cross-functionally with technology, business, security, legal, and executive stakeholders.
• Strong communication and stakeholder management skills, with the ability to translate technical concepts for nontechnical audiences.
• Experience driving technology adoption, employee education, or organizational change initiatives.

Preferred Qualifications & Technical Experience

• Experience with Python, SQL, or other programming and scripting languages.
• Familiarity with AI and machine learning frameworks such as TensorFlow and PyTorch.
• Experience with LangChain, RAG architectures, Model Context Protocol (MCP), and AI agent development.
• Exposure to Google Cloud Platform (GCP), Vertex AI, Gemini Enterprise, Google ADK, AWS, or Microsoft Azure.
• Understanding of data engineering, information retrieval, and enterprise data environments.
• Familiarity with MLOps, CI/CD pipelines, containerization, and AI deployment practices.
• Experience applying responsible AI frameworks such as NIST AI RMF, ISO 42001, or OWASP.
• Experience working within nonprofit, humanitarian, social impact, or other mission-driven organizations is a plus.