The Foundation is looking to leverage AI to reduce the digital gap and create development solutions in low- and middle-income countries (LMICs), addressing significant health, education, and agriculture challenges. They aim to enhance existing tool delivery and invest in AI technologies, digital health strategies, and advanced data analytics to improve outcomes for underserved populations.
Requirements
- Deep fluency with cloud platforms (Azure/GCP/AWS), APIs, data platforms, security/privacy controls, observability, and productization at scale.
- AI enthusiasm and literacy—eager to apply modern AI tools safely and pragmatically (direct AI research experience not required).
- Prior experience inside an AI lab or major cloud provider or building evaluation/guardrail pipelines.
- Track record with localization and accessibility at scale (multilingual, low-resource environments).
- Open-source/community engagement (tooling, standards, or deployments).
- Data-savvy and metrics-driven: comfortable defining instrumentation, reading dashboards/SQL-level insight, and making decisions from evidence.
- Experience in LMIC settings, public sector, or regulated domains (health, education, gov data).
Responsibilities
- Define vendor-agnostic reference architectures for data ingestion, retrieval, privacy-preserving analytics, observability/telemetry, and human-in-the-loop workflows tailored to LMIC constraints (low bandwidth, intermittent connectivity, cost ceilings, localization).
- Advise on technical due diligence and RFPs; pathways for initiatives like the virtual doctor for self-care in HIV and pregnancy.
- Embed equity-by-design practices: participatory/co-design with local partners, accessibility and language inclusion, harm minimization, safety incident response, data minimization/sovereignty, and transparent documentation.
- Ensure partner engagements include clear guardrails on data use, consent, and privacy; ensure systems are evaluated for benefit, safety, and fairness across subgroups.
- Turn ambiguous opportunities into scoped programs with OKRs, timelines, budgets, and measurable outcomes (e.g., cost per successful self-care episode, time-to-advice, safety incident rate, equitable performance across languages/demographics).
- Publish quarterly ecosystem scorecards and an annual “State of AI for Impact” brief.
- Craft board-ready narratives and external remarks; represent the Foundation in senior forums with AI labs/clouds, multilaterals, and governments.
Other
- 15+ years as a senior Technical Leader (or equivalent Principal/Director/VP-level program leader) delivering large, multi-team software/digital/cloud programs.
- Demonstrated success owning executive-level, partner-facing relationships and complex agreements across product, engineering, legal, and security.
- Excellent writing and executive presence; able to brief the Chair and senior external leaders.
- Serve as the primary relationship owner with senior counterparts at Google, Microsoft, OpenAI, Anthropic, and Meta.
- Negotiate/manage MOUs covering model/compute credits, technical enablement, support for evaluations/red-teaming, pricing, data safeguards, and social-impact pilots.
