At a glance
- Experience
- 5-7 years experience
- Location
- Bangalore, Karnataka
About the role
- Brillio is seeking an experienced AI Product Owner to lead the development, adoption, and scaling of ADAM—Brillio's Agentic AI Platform within the Banking, Financial Services, and Insurance (BFSI) domain.
- This role drives how ADAM enables enterprises to transition from traditional digital transformation toward AI-led operating models by embedding intelligent agents, automation, and decision intelligence.
- The AI Product Owner acts as the bridge between business stakeholders, domain experts, and ADAM engineering teams to ensure platform capabilities translate into measurable client outcomes.
Responsibilities
- Define BFSI industry vision and roadmap for ADAM adoption across banking and insurance clients.
- Identify high-impact agentic AI opportunities across underwriting, lending, fraud, risk, customer servicing, operations, and compliance.
- Translate business problems into reusable ADAM platform capabilities and agents backlog.
- Drive industry-specific productization aligned to Brillio’s platform strategy.
- Own end-to-end lifecycle of ADAM use cases from ideation to enterprise deployment with the engineering teams.
- Define product backlog, user journeys, agent workflows, and acceptance criteria.
- Prioritize features balancing business impact, scalability, and regulatory constraints.
- Work closely with AI architects, data scientists, and engineering teams to operationalize ADAM capabilities.
- Ensure ADAM solutions align with risk, compliance, and governance standards.
- Act as product evangelist for ADAM within BFSI accounts by partnering with sales and consulting teams.
Requirements
- 5-7 years of experience in Product Management, Consulting, or Technology Delivery.
- Strong experience in BFSI domain (Banking / Insurance / Financial Services).
- Experience delivering AI, Data, or Digital Platforms at enterprise scale.
- Experience operating in Agile product environments.
- Strong executive communication and stakeholder management skills.
Preferred qualifications
- Experience with enterprise AI platforms (AWS Bedrock, Azure AI, GCP Vertex AI).
- Exposure to Responsible AI, regulatory frameworks, or model governance.
- Background in enterprise transformation or platform-led delivery.
- MBA or advanced degree in Technology, Data Science, or Business.
Skills
- Agile
- AWS Bedrock
- Azure AI
- GCP Vertex AI
- AI
- Digital Platforms
- Agentic AI
