This role combines technical excellence with leadership, project management & technical ownership. This role demands deep technical expertise across cloud infrastructure, APIs, data engineering and enterprise connectivity; with hands-on experience in troubleshooting, DevOps, and cross-platform integration.
You will lead the design, integration, testing, and deployment of Agentic AI applications. You will be engaged in strategic planning, technical design, and cross-functional execution of the AI solution builds. You’ll act as a bridge between product owners, operations leaders and technical teams, ensuring that the project moves speedily from design to deployment. It shall be your responsibility to ensure the Agentic AI solutions have a robust technical construct; and that the solutions adhere to the design & governance standards defined by the product owners & security guidelines of the organization.
You will work collaboratively with:
AI Engineers & Data Scientists – to define agent capabilities and validate performance
Product Managers & UX Designers – to align features with user needs
Enterprise Architects & DevOps Teams – to ensure scalability and deployment efficiency
Business Stakeholders & SMEs – to define use cases and measure impact
Change Management Teams – to support adoption and training
Responsibilities
Drive the technical roadmap for Agentic AI solutions in the Data Integration & Architecture Services.
Participate in AI Agent design discussions, contributing technical knowledge/expertise, design logic and perspectives on application integration
Collaborate with infrastructure, security, and architecture teams to ensure a robust build of Agentic AI solutions
Implement Agentic AI solution integrations across Databricks, ServiceNow, SAP, Snowflake, Mulesoft
Troubleshoot integration failures and lead resolution efforts with internal and external stakeholders
Manage access provisioning, bug fixes, and deployment blockers
Architect containerized applications with secure connectivity to backend services
Oversee the API development and integration testing
Oversee the Build of web applications with browser and MS Teams compatibility
Oversee UI and backend deployments in SIT/UAT/Production environments
Oversee the build of CI-CD pipelines using Azure DevOps
Implement authorization code flows and manage access tokens for user profile extraction
Coordinate with cloud engineering teams to provision secure access to the developers engaged in the solution build
Participate in strategic planning for release cycles and resource allocation.
