Principal Consultant - AI Engineering

Job Description Principal Consultant – AI Engineering Experience: 10–15 years Location: Kochi / Hybrid Role Summary This role requires a strong mix of technical depth, solution architecture, client requirement understanding, and end-to-end project delivery ownership. The consultant will work closely with clients, product teams, and engineering teams to ensure business requirements are translated into scalable, high-quality solutions. This is a hands-on, high-ownership technical and delivery role.

Exposure to AI / Generative AI projects is a strong plus. Key Responsibilities Technical Architecture & Solution Design Own end-to-end solution architecture for client engagements. Convert business and functional requirements into: Technical architecture System workflows Integration design Data and AI pipelines (where applicable) Define scalable, secure, and maintainable solution approaches.

Review technical designs and guide implementation teams. Support architectural decisions across backend, frontend, integrations, and data layers. End-to-End Project Delivery Own complete delivery responsibility for assigned projects.

Work closely with engineering teams to ensure: Timely delivery Quality standards Performance and scalability Track milestones, dependencies, risks, and mitigation plans. Support UAT, production deployment, and post-go-live stabilization. Client Requirement & Management Work directly with clients to understand business problems and technical expectations.

Conduct requirement discussions and solution workshops. Act as the technical interface between client and engineering teams. Provide technical walkthroughs, demos, and clarifications.

Ensure alignment between client expectations and delivered solutions. Product Thinking & Requirement Ownership Apply product mindset while delivering client solutions. Convert requirements into: User stories Acceptance criteria Technical tasks Collaborate with internal product and platform teams to leverage Gapblue accelerators and reusable components.

Support backlog grooming and sprint planning. Agile Execution Work within Agile / Scrum delivery models. Participate in sprint planning, reviews, and retrospectives.

Help remove technical and requirement-level blockers. Ensure engineering teams have clarity on priorities and scope. Required Skills & Experience Core Experience 10–15 years of experience in software engineering and solution delivery.

Strong experience as a Technical Architect / Solution Architect / Senior Technical Manager. Proven experience in end-to-end project delivery to enterprise clients. Prior experience playing a Product Owner–like or Solution Manager role.

Strong client-facing experience. Technical Competencies Strong understanding of system architecture and design patterns. Experience with: Backend systems and API design Frontend and backend integration Workflow-based and data-driven systems Ability to review code and guide teams technically.

Strong analytical and problem-solving skills. Agile & Delivery Skills Solid experience working in Agile projects. Ability to manage scope, timelines, and delivery dependencies.

Experience working with multi-module or complex enterprise systems. Good to Have Experience working on AI / Generative AI / Data / Analytics projects. Exposure to LLM-based solutions, AI agents, or intelligent automation.

Cloud exposure (AWS / Azure / GCP). Experience building reusable frameworks or enterprise platforms. Personal Attributes Strong ownership and accountability.

Excellent communication skills. Ability to handle ambiguity and evolving requirements. Structured thinker with strong execution mindset.

Comfortable working in fast-paced, client-driven environments.