Artificial Intelligence Advisor

Job Description

**We are looking for an AI Advisor with 10+ years of experience, based in Bangalore.** 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 institutionsto 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: Bachelors or Masters 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.