Agentic Context Engineer - Bengaluru, India

We are WisdomAI.

We exist to help people unlock clarity from complexity.

WisdomAI builds AI-powered analytics that put answers directly in the hands of the people closest to the business. Our platform doesn’t just surface insights — it explains the why behind them, helping teams move from data to decisions with speed, confidence, and context.

We’re trusted by companies like Cisco, Patreon, and Rubrik — and we’re just getting started.The problems here are hard, and the expectations are high. Our team is energized by both. If you’re compelled by ambitious problems, high standards, and meaningful ownership, you’ll thrive here.

About WisdomAI: WisdomAI is revolutionizing how enterprises leverage their data. We empower businesses to unlock insights, drive innovation, and make data-driven decisions at scale. Join our rapidly growing team and be a part of a company that is shaping the future of enterprise data. Our team is composed of founding engineers and leaders from Google, Meta, AWS, Rubrik and Glean, backed by Tier-1 VCs.

The Role: As an Agentic Context Architect at WisdomAI, you will work within a Field Engineering pod to guide strategic customers from early solution shaping through scaled deployment. You will help operationalize WisdomAI across complex enterprise data landscapes, turning fragmented data into production-grade agentic intelligence systems that power automated, insight-to-action workflows.

This is a hands-on role for builders who love shipping real systems and owning outcomes end to end.

Core Responsibilities

- Drive large, complex sales opportunities from ideation, through vision building and scoping, all the way to closure and into delivery

- Conduct workshop sessions to identify opportunities with customers to scope how they could deliver business value with WisdomAI

- Own the holistic health and ROI of your customer portfolio. You are responsible for identifying the "North Star" use cases that move the needle for their business

- Own post-sale technical execution for strategic customers through deployment and scale

- Design and ship enterprise context layers that turn fragmented enterprise data into production-ready agent-driven workflows

- Lead complex technical problem-solving across data integration, performance, governance, and security domains

- Build reusable context models, solution patterns, and deployment frameworks

- Partner with Product and Engineering to shape platform evolution by translating customer needs into scalable product capabilities

- Serve as a trusted technical advisor to customer architects, data leaders, and executive stakeholders

What You’ll Bring: Qualifications

Experience & Background

- 10+ years of experience combining deep technical expertise in data/AI/ML platforms consulting or delivery leadership focused on business impact.

- Bachelor’s or Master’s in Engineering, Data, or a related field, or equivalent experience.