Asks for

The ad says“Familiarity with data governance, security, access controls, and performance optimization in enterprise environments”
The ad says“Hands-on experience with modern analytics and cloud data platforms, including semantic and metadata layers”
The ad says“Deep understanding of enterprise data modeling, context/semantic layers, and system scalability”
The ad says“Familiarity with data governance, security, access controls, and performance optimization in enterprise environments”
The ad says“10+ years of experience combining deep technical expertise in data/AI/ML platforms consulting or delivery leadership focused on business impact.”
The ad says“Deep understanding of enterprise data modeling, context/semantic layers, and system scalability”
The ad says“Understanding of how Generative AI works, including prompt engineering, RAG (Retrieval-Augmented Generation), and evaluation sets.”
The ad says“Understanding of how Generative AI works, including prompt engineering, RAG (Retrieval-Augmented Generation), and evaluation sets.”
The ad says“Hands-on experience with modern analytics and cloud data platforms, including semantic and metadata layers”
The ad says“Familiarity with data governance, security, access controls, and performance optimization in enterprise environments”
The ad says“Experience working across both customer-facing pre-sales and post-sales engagements”
The ad says“Experience working across both customer-facing pre-sales and post-sales engagements”
The ad says“Understanding of how Generative AI works, including prompt engineering, RAG (Retrieval-Augmented Generation), and evaluation sets.”
The ad says“Advanced SQL and strong Python proficiency for data transformation, orchestration, and automation”
The ad says“Understanding of how Generative AI works, including prompt engineering, RAG (Retrieval-Augmented Generation), and evaluation sets.”
The ad says“Familiarity with data governance, security, access controls, and performance optimization in enterprise environments”
The ad says“Hands-on experience with modern analytics and cloud data platforms, including semantic and metadata layers”
The ad says“Advanced SQL and strong Python proficiency for data transformation, orchestration, and automation”
The ad says“Deep understanding of enterprise data modeling, context/semantic layers, and system scalability”

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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Our CRAFT

CRAFT isn’t a list of aspirational values. It’s how we hire, how we promote, how we resolve hard calls, and how we stay honest with ourselves.

C — Customer trust. Everything starts here. We listen carefully, act with integrity, and respond with urgency. Delight is downstream of trust — never the other way around.

R — Relentless on outcomes. We move with urgency, take initiative, and see things through. Effort isn’t the measure — results are. If something isn’t working, we change the approach now.

A — Authenticity. We say the hard things, directly and with respect. We also show up as full humans. That combination is how trust is earned and how we grow together.

F — First principles, grounded in reality. We don’t accept “that’s how it’s done.” We strip problems to what’s actually true and build up from there — then validate quickly and let real-world results decide.

T — Transparency. We share the why, not just the what. When something can’t be shared, we say so. We’re one team — information flows so we can do our best work and challenge each other when we’re wrong.

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Equal opportunity employer

WisdomAI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable law. We are committed to building a diverse, inclusive team where everyone can do their best work.