Consultant, AI Policy

This role was posted on August 26, 2025. The consultancy focuses on Artificial Intelligence Policy and Practice. Last Mile Health (LMH) seeks a Consultant, Artificial Intelligence Policy and Practice, to lead the development of the organization's first AI policy, providing expert guidance at the intersection of AI policy, digital health, and technology governance to ensure responsible, ethical, and effective use of AI across LMH programs.

The ideal consultant brings deep expertise in AI policy, data privacy, and regulatory frameworks relevant to low- and middle-income countries, with a track record of advising or developing policies in global health or development contexts. This consultancy sets the foundation for how LMH harnesses AI to advance health equity, safeguard communities, and support health systems in remote settings.

This consultancy is open to candidates globally, with a preference for those who can work in GMT+0 time zone.

• Location: Global
• Duration: October 1, December 15, 2025
• Total Consultancy Fees: 7000 to 10000 USD

Scope of Work: Deliverables and Tentative Deadlines

• Oct. 24, 2025: Conduct a literature review of current policies, guidance documents, and practices on AI use by countries and implementing agencies, including global and regional government policies, guidance from multilateral institutions, and use in global health. Highlight sources addressing compliance, privacy, ethics, human-AI collaboration, data management, tradeoffs across current/future LLMs, cost-effectiveness, and sustainability.

• Nov. 7, 2025: Expert Review & Relevance Check: Submit a draft annotated bibliography or summary of findings for LMH review and participate in a short review call with internal technical leads to validate relevance and completeness.

• Nov. 14, 2025: Provide a detailed document with a 2-page synthesis brief of the review, including key takeaways and implications for LMH's programmatic work.

• Nov. 28, 2025: Presentation of results to LMH Internal Team: Present findings and the draft policy to LMH leadership and technical teams and gather feedback for incorporation into the final policy.

• Dec. 5, 2025: Draft AI Policy Document: Prepare a comprehensive draft AI policy covering data compliance, privacy safeguards, ethical usage, data security, and sustainability; include sample use cases and a proposed implementation roadmap.

• Progressive years of experience in AI policy, digital health, or technology governance, with a track record developing or advising on AI-related policies in global health or development contexts.
• Demonstrated knowledge in responsible AI practices, data privacy, and relevant global and regional regulations, particularly in LMICs.
• Strong analytical, writing, and stakeholder engagement skills; ability to synthesize complex information into actionable policy guidance.
• Familiarity with ethical considerations and alignment with LMH's mission and values.

• Experience conducting Equity Impact Assessments to identify areas where AI systems might perpetuate bias or discrimination.
• Experience with AI solutions designed with diversity and inclusion in mind, including data representation, algorithmic fairness, and accessibility.

To be considered for this consultancy, please submit your resume. Shortlisted candidates will provide a complete application package, including:

• Short Technical Proposal (max two pages) outlining approach, availability, and relevant experience.
• Financial Proposal (daily rate and total estimated budget).
• 1 or 2 Relevant Writing Samples.

Selected candidates will be invited for interviews, and successful finalists will undergo reference checks.

Last Mile Health (LMH) saves lives in the world's most remote communities by partnering with governments to bring primary care to people living in the last mile. LMH is a registered 501(c)3 non-profit organization and works in Ghana, Liberia, Malawi, Ethiopia, Uganda, and Sierra Leone with US offices in Boston. For more information, visit

We are an equal-opportunity employer and value diversity at LMH. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.