Associate Director AI Responsible Solutions

ALIS Software • New York City, NY

5d • Hybrid

About The Position

This role focuses on managing a dedicated AI portfolio and consulting with IT teams on AI projects to foster a cohesive approach to AI development and implementation. The Associate Director will develop and implement ethical AI solutions by identifying business challenges, assessing organizational needs, recommending ethical solutions, gathering requirements, designing, developing, and deploying AI solutions within budget and quality standards. They will also define project scope, gain insights, allocate resources, manage timelines, and mitigate risks. A key aspect of the role involves collaborating with leadership to refine the foundation's AI strategy, ensuring AI systems, guidelines, processes, and procedures align with the foundation's mission and values. The position requires monitoring evolving AI regulations and data privacy laws, drafting and implementing Responsible AI guidelines, safety policies, and use-case criteria, and ensuring adherence to ethical guidelines and data protection. Continuous monitoring and evaluation of AI model effectiveness, optimization for performance, and vendor/technology assessment are also crucial. Furthermore, the role involves building AI literacy and ethical awareness across the organization, cultivating a culture of responsible innovation, and effectively communicating complex AI concepts to both technical and non-technical stakeholders.

Requirements

• 8+ years of related professional experience
• Proficient in Python and AI frameworks (e.g., TensorFlow, PyTorch)
• Expertise in machine learning, deep learning, NLP, foundational models, and GenAI technologies
• Experienced in Generative AI techniques (e.g., LLMs, LangChain, RAG), Agentic architecture, and establishing connections using Model Context Protocol (MCP)
• Experience with GCP, Vertex AI, and production deployment using Gemini Enterprise or equivalent platforms
• Familiar with major cloud platforms (AWS, Azure, GCP), data technologies (SQL, Hadoop, Spark), and AI Ops principles (CI/CD pipelines, containerization, automated testing)
• Experienced in deploying AI models to cloud environments—optimizing for performance, latency, cost, and resource utilization (GPU/TPU)—and troubleshooting issues like performance drift
• Strong capability in working with large datasets, extracting meaningful insights from unstructured data, and understanding content management systems, knowledge graphs, and information retrieval techniques
• Demonstrated ability to recommend & apply practical AI solutions to real-world problems within content-rich domains
• Deep conceptual understanding of how models process data, exhibit bias, and handle data privacy
• Project management skills with experience managing complex AI projects using Agile development methodologies
• Managing AI vendors and technical capability to evaluate vendor claims regarding model safety, data retention, and training data provenance

Responsibilities

• Manage a dedicated AI portfolio and consult with cross-functional IT teams on their AI projects.
• Develop and implement ethical AI solutions by assessing organizational needs, recommending solutions, gathering requirements, designing, developing, and deploying AI solutions.
• Define project scope, gain insights and agreement from others, allocate resources, manage timelines, and mitigate risks.
• Collaborate with CITO and senior leaders on refining the foundation's AI strategy.
• Monitor evolving AI regulations and data privacy laws.
• Draft, implement, and maintain Responsible AI guidelines, safety policies, and use-case criteria.
• Ensure all AI-related activities and stakeholders adhere to ethical guidelines and protect organizational data.
• Promote responsible AI development and deployment, considering biases, fairness, and transparency.
• Continuously monitor and evaluate the effectiveness and performance of AI models.
• Implement optimization strategies to reduce carbon footprint and enhance accuracy, efficiency, and scalability.
• Remain up to date with emerging AI trends, technologies, and best practices.
• Research and recommend new AI tools and techniques.
• Evaluate, propose, and manage AI vendors and consultants.
• Partner with People & Culture and other departments to build organization-wide AI literacy and upskilling.
• Cultivate a culture of responsible innovation across different teams.
• Communicate project solutions, requirements, updates, technical details, and AI concepts to technical and non-technical audiences.
• Translate complex technical information into clear business value for non-technical stakeholders.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed