Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Associate Director, Responsible AI Solutions role.

Rezi rewrites your resume against Ford Foundation's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Associate Director, Responsible AI Solutions posting at Ford Foundation — free, in seconds.

About the Role

The Associate Director, Responsible AI Solutions leads the development and implementation of ethical, cutting-edge AI solutions that align with the Ford Foundation's mission. This role collaborates with senior leaders to refine the AI strategy and partners with staff and external vendors to design and scale AI solutions that foster responsible innovation.

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.
Collaborate with leadership on refining the foundation’s AI strategy to align AI systems, guidelines, and processes with the foundation’s mission and values.
Draft, implement, and maintain Responsible AI guidelines, safety policies, and use-case criteria.
Monitor and evaluate the effectiveness and performance of AI models, implementing optimization strategies.
Research and recommend new AI tools and techniques, and evaluate and manage AI vendors and consultants.
Partner to build organization-wide AI literacy and upskilling, responsible prompt engineering, and ethical awareness.
Clearly and effectively communicate project solutions, requirements, and updates to technical and non-technical audiences.

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 Google Cloud Platform (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 and 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.
Excellent project management skills with experience managing complex AI projects using Agile development methodologies.
Experience managing AI vendors and the technical capability to evaluate vendor claims regarding model safety, data retention, and training data provenance.
Strong communication, interpersonal, and relationship-management skills.
Ways of working and engaging that align with the Foundation’s mission, core values, and commitment to creating a culture of excellence.

Skills

Python
AI frameworks (TensorFlow, PyTorch)
Machine learning
Deep learning
NLP
Foundational models
GenAI technologies
Generative AI techniques (LLMs, LangChain, RAG)
Agentic architecture
Model Context Protocol (MCP)
Google Cloud Platform (GCP)
Vertex AI
Gemini Enterprise
AWS
Azure
Data technologies (SQL, Hadoop, Spark)
AI Ops principles (CI/CD pipelines, containerization, automated testing)
Cloud deployment
Performance optimization
Latency optimization
Cost optimization
Resource utilization optimization (GPU/TPU)
Troubleshooting performance drift
Large dataset analysis
Unstructured data analysis
Content management systems
Knowledge graphs
Information retrieval techniques
AI model bias understanding
Data privacy understanding
Project management
Agile development methodologies
Vendor management
Communication skills
Interpersonal skills
Relationship management skills

Location

New York

Work Type

Hybrid
Permanent

Experience Level

8+ years of related professional experience

Education Level

Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field (or an equivalent combination of education and experience)

Salary/Compensations

$181,000 - $202,000

Benefits

Medical benefits
Dental benefits
Vision benefits
Generous time off (personal, vacation, sick, extended holiday, wellness days)
Generous parental leave policy
Backup child and elder care resources
Comprehensive retirement benefits options (with employee and employer contributions of up to 13%)

About the Company

The Ford Foundation is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its programs, and operations.
Commitment to creating a culture where everyone feels respected.
A hybrid working model and flexible work arrangement policies offer colleagues the opportunity to engage in meaningful ways and the space to maintain a healthy work-life balance.
Professional development and ample opportunities to build your expertise and expand your network.
Learn more about what it’s like to work at the Ford Foundation.

Equal Opportunity

Equal employment opportunity and having a diverse staff are fundamental principles at The Ford Foundation, where employment and promotional opportunities are based upon individual capabilities and qualifications without regard to race, color, religion, gender, pregnancy, sexual orientation/affectional preference, age, national origin, marital status, citizenship, disability, veteran status or any other protected characteristic as established under law.
The Ford Foundation does not discriminate against formerly incarcerated individuals.