# Agentic Context Engineer - Bengaluru, India at Wisdom AI

> Onsite · India · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3AWisdom-AI%3Aa590329c-488f-4382-944e-bb70d04bb674 (read 2026-11-10).

## Facts (observed)

- Company: [Wisdom AI](https://alderhq.app/companies/wisdom-ai)
- Location text: Bengaluru
- Where it can be done from (inferred): Onsite · India (evidence: "Location lists "bengaluru"")
- Posted: 2026-09-21 (50 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/Wisdom-AI/a590329c-488f-4382-944e-bb70d04bb674
- Skills listed (inferred): Python, AWS, SQL, LLMs

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Bengaluru, n 5): p25 ₹22.5L, median ₹25L, p75 ₹29.2L

## Description (the employer's text)

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.

Experience working across both customer-facing pre-sales and post-sales engagements

Proven track record deploying complex platforms into production enterprise environments

Deep understanding of enterprise data modeling, context/semantic layers, and system scalability

Clear communicator able to engage engineers, architects, and executives alike

High ownership mindset with a focus on real outcomes

### Technical Expertise

Hands-on experience with modern analytics and cloud data platforms, including semantic and metadata layers

Advanced SQL and strong Python proficiency for data transformation, orchestration, and automation

Understanding of how Generative AI works, including prompt engineering, RAG (Retrieval-Augmented Generation), and evaluation sets.

Familiarity with data governance, security, access controls, and performance optimization in enterprise environments

### Why Join Wisdom AI?

Work at the cutting edge of Generative AI and Enterprise Data

High autonomy in a flat organization where your work directly impacts the product roadmap and overall company success

Opportunity to work with a world-class engineering team from the most successful tech companies in the world

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3AWisdom-AI%3Aa590329c-488f-4382-944e-bb70d04bb674 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.
