The Clinton Health Access Initiative, Inc. (CHAI) is a global health organization committed to our mission of saving lives and reducing the burden of disease in low-and middle-income countries. We work at the invitation of governments to support them and the private sector to create and sustain high-quality health systems.

CHAI was founded in 2002 in response to the HIV/AIDS epidemic, with the goal of dramatically reducing the price of life-saving drugs and increasing access to these medicines in the countries with the highest burden of the disease. Over the following two decades, CHAI has expanded its focus. Today, along with HIV, we work with our partners to prevent and treat infectious diseases such as COVID-19, malaria, tuberculosis, and hepatitis. Our work has also expanded into cancer, diabetes, hypertension, and other non-communicable diseases, and we work to accelerate the rollout of lifesaving vaccines, reduce maternal and child mortality, combat chronic malnutrition, and increase access to assistive technology. We are investing in horizontal approaches to strengthen health systems through programs in human resources for health, digital health, and health financing. With each new and innovative program, our strategy is grounded in maximizing sustainable impact at scale, ensuring that governments lead the solutions, that programs are designed to scale nationally, and learnings are shared globally.

At CHAI, our people are our greatest asset, and none of this work would be possible without their talent, time, dedication, and passion for our mission and values. We are a highly diverse team of enthusiastic individuals across 40 countries with a broad range of skill sets and life experiences. CHAI is deeply grounded in the countries we work in, with the majority of our staff based in program countries. Learn more about our exciting work: http://www.clintonhealthaccess.org

CHAI is an Equal Opportunity Employer, and is committed to providing an environment of fairness, and mutual respect where all applicants have access to equal employment opportunities. CHAI values diversity and inclusion, and recognizes that our mission is best advanced by the leadership and contributions of people with diverse experience, backgrounds, and culture.

Position Overview

CHAI is looking for a hands-on builder to design, develop, and ship bespoke AI tools that transform how the organization works. The Manager, AI Transformation is a primarily technical role: someone whose dominant activity is building – identifying impactful use cases, writing code, developing AI-powered solutions, and deploying them into the hands of CHAI’s teams. A secondary focus will be supporting organisation-wide AI transformation initiatives — including trainings, vendor management, and related efforts. This is a role for a genuine builder: someone who thrives on developing and deploying AI solutions, while also appreciating the complementary work needed to ensure AI transformation is sustainably embedded within the organization.

Reporting to the Associate Director, AI Transformation within CHAI’s Global Operations function, the Manager focuses on where off-the-shelf tools fall short – partnering closely with CHAI’s teams to develop bespoke AI tools. These tools can be used across the organization for general management and operational use cases. This role is also expected to work closely with the Innovation team, which has a complementary scope focused on AI use in CHAI’s technical and programmatic work in global health.

The right candidate is an exceptional builder with strong organizational instincts. They know how to use modern AI development tools, can scope and ship quickly, and have the judgment to know what is worth building. They care about solving real problems and want to work somewhere their tools actually make a difference.

This position can be leveled at Manager or Senior Manager, commensurate with the qualifications and experience of the candidate. The base location is flexible; candidates can be based in any of the geographies that CHAI operates in, subject to work authorization and necessary approvals.

What Success Looks Like

The following give a concrete sense of the kinds of outcomes we are looking for; they should be viewed as illustrative, and not comprehensive:

• Real tools have shipped and are in use. Not prototypes. Not demos. Actual AI-powered tools, built by this person and their team, deployed into CHAI’s teams, including HR, Finance, Legal & Compliance, IT Operations, and other functions – and making a real, measurable difference to the people using them.
• CHAI’s AI build capacity is compounding. Every shipped tool leaves something behind that makes the next one faster and better: reusable components, documented patterns, shared frameworks. What CHAI can build with AI six months from now is meaningfully greater than what it can build today, because of the foundation this person has laid.
• Demand is growing because teams trust the work. Functional teams across CHAI are coming to the team with problems they want solved – not because they are being pushed, but because the tools that have shipped so far have been genuinely good. The pipeline is full because people trust that real things get built.

• Partner with CHAI’s teams to identify, assess, and prioritize high-value AI use cases, maintaining a clear pipeline from idea to shipped tool, and align build priorities with the AI transformation strategy set by the Associate Director.
• Inform smart build-vs.-buy decisions: assess whether a use case is best addressed by an off-the-shelf tool, a light customization, or a bespoke build, and move quickly on whichever path is right.
• Design, build, and ship bespoke AI-powered tools in partnership with CHAI’s teams, with a focus on non-programmatic teams (e.g. HR, Finance, Legal & Compliance, IT, Operations, and others); work directly in code and AI-native development environments (e.g., Claude Code and Cowork).
• Collaborate with CHAI’s IT team on integration, maintenance, and scaling, ensuring that what gets shipped meets organizational standards for reliability and data governance; partner technically with CHAI’s Innovation team to share approaches and avoid duplication.
• Document what gets built – reusable components, prompt frameworks, implementation patterns – so each new project starts from a higher base; support broader AI adoption across CHAI through training and enablement efforts led by the Associate Director.
• Track shipped tool usage and impact, contribute to CHAI’s understanding of the evolving AI development landscape, and undertake other responsibilities as needed.

• Bachelor’s degree or equivalent and at least 6 years of relevant professional experience, including substantial hands-on experience building and shipping software or AI-powered tools that others use.
• Practical fluency with software engineering tools and practices — version control (e.g., GitHub), automated testing, and code review. Hands-on experience with LLM APIs, AI development frameworks, and AI-native development environments (e.g., Claude Code or Cowork). Programming language proficiency (e.g., Python) is helpful, but not required.
• Deep, practical familiarity with modern AI tools – particularly large language models, RAG, and memory management – and a sophisticated understanding of their capabilities, limitations, and appropriate enterprise use cases.
• Track record of taking AI or software tools from concept through to production, including scoping, building, iterating, and deploying.
• Strong organizational instincts – the ability to understand what teams actually need, identify what is worth building, and partner effectively with non-technical stakeholders.
• Entrepreneurial mindset: comfortable with ambiguity, proactive in identifying opportunities, and motivated by shipping real things rather than perfecting plans.
• Genuine commitment to CHAI’s mission and the operating realities of a global health organization working in resource-constrained, cross-cultural contexts.

Preferred Qualifications

• Background in AI engineering, data science, or a related technical discipline.
• Experience building tools for enterprise workflows (HR, Finance, Legal, Operations, or similar).
• Familiarity with responsible AI principles and ethical considerations for deploying AI in complex or resource-constrained environments.
• Experience in global health, international development, or a comparable mission-driven sector.
• Experience working across geographically dispersed teams in multiple countries and time zones.

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