As a Senior Applied AI Product Engineer at Kearney, you will contribute to consulting project teams as they offer honest advice and practical guidance to our clients. Depending on each clients unique needs, projects can differ in length, size, and location, giving you unique, hands-on experiences across a range of industries and service practices.

Responsibilities
Build end-to-end AI solutions
Design and ship web applications, APIs, data pipelines, and agentic workflows across the Velocity AI platform.
Own delivery from problem framing and technical design through demo, deployment, and iteration.
Build both rapid prototypes for live client discussions and durable product capabilities that can scale beyond a single engagement.
Develop domain-aware AI workflows
Build retrieval, extraction, comparison, reasoning, and recommendation workflows over product lifecycle data.
Work with documents, spreadsheets, BOMs, specifications, supplier data, commodity inputs, teardown information, and cost models.




Create digital concepts and decision-support tools for use cases such as current product development, formulation, should costing, BOM simplification, supplier choice, supply risk, and raw material or commodity trade-offs.
Engineer quality into the product
Build automated test suites, evaluation harnesses, regression checks, and synthetic or golden datasets as part of normal development.
Measure output quality, latency, cost, and failure modes for AI-powered workflows.
Treat testing as an engineering responsibility, not a separate downstream hand-off.
Use AI-native engineering methods
Work effectively with AI coding assistants and agentic development settings to accelerate delivery.
Design robust prompts, structured outputs, tool use, fallback logic, and error handling patterns.
Balance speed with maintainability, security, observability, and sound software design.
Collaborate directly with clients and domain experts
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📌 Senior Applied Ai Product Engineer Bengaluru
🏢 Kearney
📍 Bengaluru