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WNS

Associate Director – AI Research

WNS

. Continuously monitor and evaluate emerging developments in artificial intelligence, including advancements in foundational models, generative AI, multi-modal AI, and agentic systems .

Posted 5/22/2026full-timeRemote • 🇮🇳 IndiaSeniorWebsite

About the role

Key responsibilities & impact
  • Continuously monitor and evaluate emerging developments in artificial intelligence, including advancements in foundational models, generative AI, multi-modal AI, and agentic systems
  • Conduct structured research and experimentation to assess the performance, feasibility, and enterprise applicability of new AI models, frameworks, and architectures
  • Analyze competing technologies and approaches to determine optimal AI solutions and implementation strategies for business use cases
  • Develop research prototypes and proof-of-concepts to validate new AI capabilities before enterprise adoption
  • Provide technical recommendations and research insights to leadership and engineering teams regarding emerging AI opportunities
  • Translate research findings into practical guidance, reference architecture, and implementation frameworks for downstream teams
  • Collaborate with engineering, data science, and product teams to support the adoption of validated AI capabilities
  • Evaluate open-source and commercial AI ecosystems, identifying tools, models, and platforms that can accelerate enterprise AI capabilities
  • Document research findings, benchmarking results, and architectural recommendations to support informed decision-making
  • Mentor researchers, managers and contribute to building a strong internal knowledge base around evolving AI technologies

Requirements

What you’ll need
  • Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related technical field
  • 9 to 15 years of progressive experience in AI research, data science, or machine learning engineering
  • Proven track record of successfully guiding complex AI research projects from conceptual prototypes to enterprise-scale production
  • Extensive experience navigating the complexities of corporate AI governance, security compliance, and data privacy regulations
  • Published research, patents, or recognized thought leadership contributions to the broader AI community are highly preferred
  • Demonstrated ability to manage departmental budgets, negotiate vendor contracts, and optimize technology spend
  • Deep capability to thrive in highly ambiguous, fast-moving technological landscapes while providing clear direction to teams

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Flexible work arrangements
  • Professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
artificial intelligencemachine learningdata sciencefoundational modelsgenerative AImulti-modal AIagentic systemsAI frameworksAI architecturesproof-of-concepts
Soft Skills
mentoringcollaborationtechnical recommendationsresearch insightsdecision-makingbudget managementnegotiationdirection providingadaptabilityleadership
Certifications
Master’s degreePh.D.