Head of Banking Platforms

HSBC; Maharashtra; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

HSBC in India seeks a senior leader to head Banking Platforms, driving AI-native engineering across Global Banking Technology to enhance software quality, productivity and innovation. You will define enterprise AI strategy, establish governance, and partner with security, data, and platform teams to deliver scalable AI-enabled capabilities.

The role blends strategic leadership with hands-on engineering excellence.

Qualifications

• Deep software engineering leadership background.
• Experience scaling engineering practices across large organizations.
• Hands-on experimentation, prototyping and adoption of emerging AI engineering capabilities.
• Champions engineering excellence through modern development practices, automation, quality engineering and developer experience improvements.
• Principle Engineer mindset, internal thought leader shaping engineering direction across Global Banking Technology.
• Assess emerging AI technologies and translate industry innovation into practical engineering outcomes.

Responsibilities

• Define AI engineering strategy and roadmap aligned to business goals.
• Lead adoption of AI-assisted development tooling across engineering teams.
• Evolve SDLC to incorporate AI-native workflows, automation, and intelligent testing.
• Define engineering productivity metrics and AI impact measurement frameworks; own delivery of OKRs.
• Influence senior engineering and product leaders across a federated technology organization.

Skills

Software engineering leadership

Scaling engineering practices

Hands-on prototyping

Automation & DevOps

Stakeholder management

Job description

If you’re looking for further opportunities to develop your career, take the next step in fulfilling your potential right here at HSBC.

HSBC is one of the largest banking and financial services organizations in the world, with operations in 58 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions.

We are currently seeking an experienced professional to join our team in the role of

Head of Banking Platforms

The Opportunity

The Head of Banking Platforms is responsible for establishing and scaling AI-native engineering capabilities across the organization. This role leads the adoption of modern AI-assisted software engineering practices, leveraging AI platforms, ownership of governance standards, and delivery frameworks to improve software quality, engineering productivity, operational efficiency, and product innovation.

Global Banking Technology is responsible for delivering the technology strategy, platforms, products and engineering capabilities that underpin a number of CIB’s front line value streams. The organisation supports critical client-facing and revenue-generating businesses including Capital Markets & Advisory (CMA), Customer Relationship Management (CRM), Infrastructure Finance & Sustainability (HIF&S), Omnia platform, Marketing and Innovation Banking. It delivers digital capabilities that enable relationship managers, product specialists and clients to originate, manage and grow client relationships, while driving operational efficiency, resiliency and innovation across the CIB and wider franchise.

Working across multiple engineering domains and technology stacks within Global Banking Technology, the role acts as a strategic and engineering/technical leader enabling teams to safely and effectively integrate AI into the software development lifecycle and broader technology estate.

What You’ll Do

AI Engineering Strategy

• Define and execute the enterprise AI engineering roadmap aligned to business and technology strategy.
• Act as the senior technical authority for AI Engineering across Global Banking Technology.
• Establish standards, patterns, and reference architectures for AI-enabled engineering.
• Partner with CTO, Architecture, Security, Data, and Platform teams on enterprise AI capability development.
• Drives a deliberate strategy of when and how to leverage latest tools and models, aids cross-domain understanding of when and how to use tooling in a productivity enhancing and cost effective way.

Engineering Transformation

• Works closely with the Head of Engineering to develop org strategy and re-defines and re-imagines resource activities and POD design.
• Drive adoption of AI-assisted development tooling across our engineering teams.
• Evolve SDLC practices to incorporate AI-native workflows, automation, and intelligent testing approaches.
• Define engineering productivity metrics and AI impact measurement frameworks, own accountability of delivery of GCIO and CIO related OKRs.

AI Platform & Enablement

• Lead development of shared AI engineering capabilities and reusable services.
• Standardize frameworks for LLM integration, prompt engineering, agent orchestration, evaluation, observability, and governance.
• Establish enablement programs, training, communities of practice, and engineering guidance.
• Build common patterns for re-use across AI platform consumed across GCIO and customised within our tech estate.

Governance & Risk

• Implement governance standards for responsible AI usage within engineering.
• Partner with Cyber, Risk and Data teams to ensure compliance and operational safety and automation opportunities across our Risk and Control book of work.
• Understand and define controls for model usage, data protection, auditability, and AI operational resilience.

Leadership & Stakeholder Management

• Influence senior engineering and product leaders across a federated technology organization.
• Build organizational capability in AI engineering practices.
• Lead cross-functional initiatives spanning multiple delivery teams and business domains.
• Grow knowledge of team members and ensure re-use of capabilities as they are built.
• Build a successful resource mix and engage market participants to ensure GB tech are at the forefront of AI resource strategy

Success Measures

• Increased engineering productivity and delivery velocity
• Reduction in SDLC friction and operational toil
• Adoption of AI engineering standards, patterns and tooling
• Innovation mind set, focused and deliberate in driving growth of capability
• Measurable improvements in quality and developer experience
• Safe and governed use of AI technologies
• Increased reuse of AI platform capabilities across teams

What You Will Need To Succeed In The Role

• Deep software engineering leadership background
• Experience scaling engineering practices across large organizations
• Leads by example through hands-on experimentation, prototyping and adoption of emerging AI engineering capabilities.
• Champions engineering excellence through modern development practices, automation, quality engineering and developer experience improvements.
• Principle Engineer or PE mindset, serve as an internal thought leader, helping shape the future direction of engineering within Global Banking Technology.
• Principle Engineer or PE mindset, create technical strategies and reference implementations that accelerate adoption across multiple domains.
• Assess emerging AI technologies and translate industry innovation into practical engineering outcomes.
• Strong understanding of modern AI/LLM engineering ecosystems
• Familiarity with platform engineering, DevOps, and developer experience practices
• Experience implementing governance and operational controls for AI systems
• Strong influencing and organizational change leadership skills

You’ll achieve more at HSBC.

HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.

Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

• Issued By HSBC Software Development (India) Limited***