About The AI Access Initiative (2AI)
We're at an inflection point in artificial intelligence – presenting both tremendous potential opportunity and risk for people in developing countries. AI capabilities are improving on a timescale measured in months, while development systems often move on timescales measured in years and decades. Much of the technology needed for positive impact exists today, but few organizations exist to bridge research, deployment, and scaled implementation: we must act now to ensure AI’s benefits reach people in poverty in LMICs.
Incubated at Evidence Action, we’re scaling The AI Access Initiative, an organization focused on scaling AI-enabled ‘big bets’ to benefit tens or hundreds of millions of people in poverty in low- and middle-income countries (LMICs). We operate at the intersection of global development actors, top AI labs, and leading researchers to drive meaningful access to AI’s benefits for the 3.5 billion people living in poverty globally. We create “public good,” open-sourced playbooks, toolkits, and insights that define how to design and launch tractable and impactful AI-enabled programs. Given the scale of opportunity, we expect our portfolio to expand substantially, but to start, we’re scaling two programs focused on AI in Agriculture and AI in Health.
We are led by former Evidence Action CEO Kanika Bahl, a founding member of Anthropic’s Long-Term Benefit Trust, and advised by Nobel Laureate Michael Kremer; Dario Amodei, CEO of Anthropic; and Kent Walker, President, Global Affairs for Alphabet and Google. This work builds on Evidence Action’s track record reaching 530M+ people with cost-effective, evidence-based programs across 9 countries in Africa and Asia, with a focus on last-mile delivery.
The Role
2AI is building fast. We have a founding team, two live program portfolios, government partnerships in India reaching millions of farmers, and a pipeline of opportunities that will drive significant expansion. The programs we are running have credible pathways to 100s of millions of people. While incubated at Evidence Action, we plan to spin out in Q4 ‘26.
We are hiring two roles at this level: Vice President, Agriculture and Vice President, Health, each responsible for programmatic strategy and execution across their respective portfolio.
Agriculture: you will set programmatic strategy and drive rapid expansion for our Agriculture portfolio, working in close collaboration with our regional leaders, including our India Country Director, and building the program teams and partnerships required to drive population-level scale. We have an ambitious goal to reach 100M+ farmers with AI-enabled weather forecasts, expand forecast R&D to generate novel forecasts, and build public and private sector (WhatsApp, telcos) delivery channels to deliver new, LLM-generated voice and image content that maximizes behavior change.
Health: Similarly, you will set programmatic strategy and drive learning, innovation, and scale in our Health portfolio, building new approaches and partnerships to drive population-level scale. Here, our initial goal is to scale AI-enabled clinical decision support to 20M+ people via telemedicine platforms, dramatically improving diagnosis and health outcomes at a national level. We are also planning to explore and test novel interventions for low-resource settings, including direct-to-consumer (DTC) health interventions.
In either role, you will also be a key face of 2AI to funders and partners for your portfolio. As a core member of the leadership team, you will have a meaningful hand in shaping the direction of where 2AI goes next.
These are builder roles: recruiting and developing program teams, designing organizational infrastructure that doesn't yet exist, pushing into new geographies and intervention areas. History shows that without a clear driver and coordinated action, complex innovations in the developing world risk languishing for decades. The cost of moving slowly here is measured in lives and livelihoods — hundreds of millions of people who could benefit from AI-powered health and agricultural tools if the field acts with sufficient urgency and rigor. This role exists to prevent that delay.
You Will:
Build, Scale, and Learn
Program Strategy & Design
Build Partnerships and Mobilize Resources
The ideal candidate has built things — programs, teams, organizations — in complex, resource-constrained environments, and is excited to do it again at an entirely new frontier. This is not a role for someone who wants to manage a steady-state portfolio. It is for someone motivated by the prospect of programs that reach 100s of millions of people, who understands that the window to shape how AI lands in the developing world is open now, and who brings the urgency, rigor, and ambition that moment demands.
We are still actively scoping our leadership roles and structure, reflecting the dynamism of this fast-growing phase of the organization — both the fun and the realities that come with rapid growth. Evidence Action is open to candidates across a range of seniority levels for this role; title, scope, and compensation will be assessed candidly with each candidate throughout the process based on their experience and fit.
You will likely have:
Position Location
This role location is flexible anywhere within the United States for fully remote candidates. We are unable to sponsor or take over sponsorship of a U.S. employment visa at this time. Applicants must be legally authorized to work in the U.S. for roles based in the U.S.
Evidence Action is an Equal Opportunity Employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply.
The expected role range for this US position is listed below. We consider multiple factors when determining the base salary for a role, including but not limited to: role scope, program budgets, internal equity, and a candidate's qualifications and/or prior experience.
Note: Pay and benefits will be commensurate with the role specifications, local statutory requirements, and the cost of labor in the markets where we operate.
The pay range for this role is $210,000 - $250,000 per year.
This role will initially be housed at Evidence Action, with the explicit plan to transfer with the AI Access Initiative as a founding member of the team when that project is spun out as a new entity later this year. At that point, benefits and policies may change. For US based roles, Evidence Action provides comprehensive benefits including international health care, HSA/FSA options, life insurance, disability coverage, retirement plans with a matching component, generous and flexible leave options, as well as other employee perks on a reimbursement basis. For more information visit our careers page or ask our recruiting team!