Job Title

Key Responsibilities:Strategic AI Guidance● Advise the leadership and project teams on the responsible and effective integration of AI across engagements. ● Provide deep insights into the AI and GenAI model landscape, including open-source and commercial offerings. ● Assess risks related to AI implementation (e.g., bias, misuse, data privacy) and develop mitigation strategies.Model Evaluation & Use Case Realization● Support model selection and evaluation for specific use cases, especially in low-resource or domain-specific contexts (e.g., agriculture, governance). ● Offer guidance on data strategies for model fine-tuning, including training data sufficiency, preprocessing, and adaptation. ● Work closely with technical teams to help translate domain needs into technical requirements, and vice versa. ● Help conceptualize and refine real-world use cases from ideation to implementation, including AI workflows and impact pathways.Cross-Functional Collaboration● Engage with ecosystem of partners—governments, development agencies, academic institutions—to drive AI thinking across projects. ● Communicate complex AI concepts clearly to non-technical stakeholders, enabling better alignment and decision-making. ● Collaborate with cross-functional teams to define requirements for AI components in DPGs and platforms. Ethical AI & Data Governance ● Ensure all AI solutions adhere to ethical AI principles, including fairness, transparency, explainability, and accountability. ● Provide strategic inputs on data governance, especially in contexts involving sensitive or multilingual datasets. ● Align recommendations with emerging AI regulations and standards, both global and India-specific.Qualifications & Skills: ● Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, AI, NLP, or related). ● 10+ years of experience in AI, consulting, or technology roles, with a strong foundation in language technology and NLP. ● Proven ability to evaluate and fine-tune models, especially in low-resource or emerging domain contexts. ● Strong understanding of AI model lifecycles, including data sourcing, model training, validation, deployment, and feedback. ● Excellent communication skills and experience working with multi-stakeholder environments, especially in public sector or mission-driven settings ● Familiarity with data privacy frameworks, ethical AI standards, and responsible AI deployment practices. ● Ability to think strategically, act hands-on, and operate independently in a fast-moving, collaborative environment.