Jitender Sharma

Jitender Sharma is an advisor and technical leader specializing in enterprise platforms and governed artificial intelligence, currently employed as an Enterprise Architect at NAB. He works with enterprises to modernize platforms and deliver AI systems designed to meet regulatory requirements using the G.A.I.N (Governed AI-Native Systems) operating model. His areas of practice include strategy and architecture, cloud-native platforms and engineering, AI and intelligence systems, and governance and trust.

The G.A.I.N Framework is the signature operating model used to align strategy, architecture, and delivery. It stands for Grounded Truth, context, knowledge alignment; Adaptive Learning, feedback, continuous evolution; Intelligent Reasoning, agents, decision systems; and Native Scalable, modular, future-ready design. This framework structures enterprise AI work across strategy, platforms, and delivery.

Jitender Sharma focuses on core domains such as Strategy & Architecture, Platforms & Engineering, AI & Intelligence, and Governance & Trust. Each domain is built through the G.A.I.N operating model, covering roadmaps, system design, cloud-native event-driven systems, governed agents and RAG, and policy compliance in regulated environments.

The business serves enterprises across Australia, the UAE, and India, with prior work spanning aviation, energy, retail, and digital transformation consulting. Clients include regulated banking and enterprise clients in these regions, focusing on cloud modernisation and distributed platforms.

According to the website, the business helps organizations modernize safely in regulated environments by setting direction with senior stakeholders and reviewing designs with engineering leads. It enables teams through patterns that have to run in production rather than just through governance and architecture boards.

The website states that the business leads through design authority and engineering judgement, staying close enough to the code and production trade-offs to keep architecture implementable. It sets standards, review boards, and CoEs while keeping patterns in production.

The business offers insights and advisory services, publishing frameworks, architecture notes, playbooks, and blueprints for architects, engineering leaders, and transformation teams navigating AI and platform modernization. It also provides a way to explore the G.A.I.N Framework in detail.

The business is suitable for organizations navigating AI adoption, platform modernization, system design, and distributed systems, particularly those in regulated environments. It is less focused on general consulting without a need for deep technical architecture or production-grade AI systems.

The website mentions a comparison matrix and JSON contracts for agent workflows, along with a focus on least privilege, audit, and revoke checks for agent identity. These features are part of the broader G.A.I.N operating model.

The business focuses on cloud-native, event-driven, and observable systems designed close enough to the code to survive production. It also emphasizes governed agents, RAG, and production AI on enterprise foundations.

The website includes a section on ARC (Architecture & Engineering) with articles on system design, agent identity, and Spotify music discovery examples. These insights are published for architects and engineering leaders.

The business emphasizes that great architecture is about enabling change safely at scale, starting with first principles and preferring simplicity over complexity. It designs for scale rather than exceptions.

The official website of Jitender Sharma is jitendersharma.dev.

Jitender Sharma has no reviews on Trustburn yet. Anyone who has used it can write the first review on its Trustburn page.