Job Location: Remote.

Job Title: Head of AI Solutions

Total Experience: 15 - 20 Years

Summary

This role operates across innovation, execution, governance, and transformation to ensure AI solutions align with Responsible AI principles, regulatory expectations, enterprise architecture, and business priorities. The Head of AI Solutions leads enterprise AI solution delivery, translating strategy and product roadmaps into measurable business value. This leader scales trusted, compliant, enterprise-grade AI capabilities from experimentation to production; coordinates delivery across the AI CoE, technology, risk, and business partners; promotes reuse; and accelerates execution against enterprise AI priorities.

Key Responsibilities

AI Innovation and Solution Development

Lead the design, development, and deployment of high-impact AI solutions across business lines

Drive rapid experimentation, prototyping, and pilot execution, converting innovations into enterprise-scale deployments

Move ideas from experimentation and prototyping into production-ready, commercially viable, enterprise-scale capabilities

Oversee priority solution domains, including agentic AI, document intelligence, advanced models, and generative AI applications Enterprise Value Delivery

Own delivery of measurable outcomes, including revenue growth, cost optimization, efficiency gains, risk reduction, and customer or employee experience improvements

Lead multi-disciplinary teams across ideation, validation, deployment, scaling, and optimization.





Partner with technology and product organizations to industrialize AI delivery and establish reusable patterns, platforms, and capabilities

Maintain strong regulatory, risk, ethical, and Responsible AI practices, proactively addressing bias, model risk, privacy, security, and unintended consequences.

Provide leadership across the full AI lifecycle including in Ideation and early-stage R&D;, Experimentation and validation, Production deployment, Enterprise scaling and optimization Thought leadership

Serve as a senior advisor and integrator across decentralized AI initiatives, ensuring alignment to enterprise strategy and investment priorities

Collaborate with business lines, product, technology, risk, legal, compliance, and data teams to embed governance and controls into delivery

Advance research, patents, intellectual property, external partnerships, academic relationships, and industry presence where they strengthen enterprise priorities Enterprise Adoption & Enablement

Drive enterprise adoption through leadership education, community engagement, “art of the possible” sessions, and use-case discovery

Build, empower, and harmonize multidisciplinary teams across data science, engineering, product, risk, legal,



compliance, and business functions

Create a culture of innovation, experimentation, accountability, reuse, and continuous learning Basic Qualifications

Executive-level leadership experience in AI, advanced analytics, emerging technology, or enterprise-scale digital transformation

Proven track record delivering enterprise technology solutions with measurable business impact

Deep understanding of the AI/ML lifecycle, data ecosystems, model development, and production deployment models

Strong knowledge of Responsible AI, model risk, governance, privacy, security, and regulatory expectations in financial services

Ability to operate across complex, matrixed organizations and influence senior executives, business leaders, risk partners, and technology teams

Advanced degree or equivalent experience in computer science, AI/ML, engineering, analytics, business, or a related field Preferred Skills and Experiences

Experience leading applied AI teams in financial services or another highly regulated industry.

Demonstrated success building and scaling centralized AI delivery functions, such as an AI CoE or equivalent capability

Hands-on AI/ML experience, including familiarity with contemporary model architectures, generative AI, and agentic AI patterns

Established industry thought leadership, research, patent, academic, or ecosystem partnership experience

Experience managing large, cross-functional teams across business, technology, and risk disciplines

📌 Head of Artificial Intelligence (Hyderabad)
🏢 Navsan
📍 Hyderabad