Greetings from Indusind Bank!

Hiring Head of Delivery AI Engineering

- Minimum Degree: Graduate with Engineering in Computer Science
- Minimum Years of experience: 15+ yrs
- Prior experience required: 15+ years of experience in Banking IT.
- 10+ years in Product Development and Engineering while leading Development and testing teams
- Hands-on experience in full stack development React, Middleware Microservices, API/Microservices, Cloud-Native Platforms, Containerization, and Cloud Operations
- Experience in Banking, BIAN standards and security compliance frameworks is a plus.
- Knowledge of AI tools which are relevant for build like Claude and Codex.

Job Purpose Lead the organization's Build Factory Engineering function by defining and executing the full stack strategy, governance, architecture, security, and operational excellence programs that enable secure, scalable, reliable, and reusable digital services across the enterprise. Increase adoption of native APIs, ensure compliance to BIAN standards while creating and approving all of Banks going forward APIs -- for in house, external consumption to meet the RBI standards for Audit and compliance. Drive platform modernization, engineering best practices, and cross-functional collaboration to accelerate business innovation while ensuring compliance, resilience, and operational efficiency.

Team

Key Challenges of the Role

- Scaling the team for creating an inhouse strong technical dev/test mindset like a product.
- Strong Development principals and frameworks required for building and scaling enterprise level banking products.
- Ability to envision build roadmap for resilience, performance and fault-tolerance.
- Driving towards API-first and microservice-based architecture and lean react based front end to ensure smooth implementation of hyper-personalization using AI tools.




- Strong understanding of Context Engineering and Harness Engineering in context to forward and reverse engineering, traceability, guardrails.
- Building solid engineering capabilities within the entire Engineering team.
- Balancing rapid business delivery with compliance and operational risk management.

Key Decisions Taken Independently

- Architecture & Platform Strategy
- Technology & Platform Selection
- Security & Risk Management
- Production & Operational Decisions
- Governance & Compliance
- Talent & Organization Leadership

Areas where supervisory guidance

- Strategic Direction & Enterprise Priorities
- Budget & Financial Commitments
- High-Risk Security & Compliance Decisions
- Cross-Functional & Enterprise-Level Initiatives
- Production & Business Risk Decision

Responsibilities- Define and own the Build Factory (the in-house development arm of the Bank) strategy and roadmap.

Lead AI driven tooling adoption for doing build using the right frameworks to reduce time and speed up development across architecture, API Gateway, developer portals, service mesh, and integration platforms.

Establish governance, standards, and lifecycle management practices.

Drive adoption of API-first and microservices-based architecture across business domains.

Oversee Platform reliability, scalability, performance, observability, and disaster recovery capabilities.

Manage engineering teams responsible for full stack development, platform operations, and support.

Partner with business, application, infrastructure, security, and architecture teams to deliver enterprise integrations and digital initiatives.

Foster engineering excellence through automation, CI/CD, DevSecOps, and platform standardization.

Ensure adoption of right tools for traceability, observability, performance, and business value through KPIs and data-driven decision making.

Develop talent, mentor engineering leaders, and build a high-performing engineering organization

Interested candidates please drop me your profile to [email protected]

📌 Head of Delivery AI Engineering- Fullstack (Bengaluru)
🏢 IndusInd Bank
📍 Bengaluru