WisdomAI logo

Agentic Context Engineer

WisdomAI

Remote · USJobPosted 2 days agoStill listed today

Most applications go out cold — see where you stand first. No sign-up to start.

You apply on the employer's site, with no Olive account needed.

Watch jobs like this.

Don't just apply. Show up ready.

Olive works from this exact posting.

At a glance

Compensation
No compensation found
Location
Remote · US
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Agentic Context Engineer works within WisdomAI’s Field Engineering team to guide customers from solution shaping through scaled deployment. The role operationalizes the platform across enterprise data environments, building context models, agentic workflows, and integrations. It spans technical pre-sales, initial post-sales implementation, customer technical problem-solving, reusable engineering assets, and collaboration with Product and Engineering to inform platform capabilities.

Skills & qualifications

RequiredNice to have

Skills

Artificial IntelligencePythonData DrivenSQLPre-SalesPost-SalesAutomationData TransformationOrchestrationAmazon Web ServicesDatabase Arch/DesignAnalyticsData InfrastructureMachine LearningPre-Sales EngagementsPost-Sales ImplementationData ArchitectureData ModelingAI and Analytics SolutionsCommunicationStakeholder ManagementData PlatformsSemantic and Metadata LayersAdvanced SQLGenerative AIPrompt EngineeringRetrieval-Augmented GenerationEvaluation SetsData GovernanceSecurityAccess ControlsPerformance Optimization

Qualifications

10+ Years Enterprise Data, AI/ML, Solutions Engineering, or Technical Consulting ExperienceBachelor's or Master's in Engineering, Data, or Related Field or Equivalent Experience

Full job description

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 Engineer at WisdomAI, you will work within a Field Engineering team to guide 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 technical pre-sales engagements: Partner with Sales to lead technical discovery, customer workshops, solution architecture, POCs, and evaluations, translating business challenges into high-value use cases and technical wins.

  • Own initial post-sales implementation: Lead technical execution from deal closure through initial production deployment, including data onboarding, context modeling, validation, user enablement, and structured handoff.

  • Engineer enterprise AI solutions: Design and build scalable context and semantic models, agentic workflows, and integrations across complex enterprise data environments.

  • Solve complex enterprise technical challenges: Work with customer data, IT, and security teams to address integration, performance, governance, security, and scalability requirements.

  • Develop reusable engineering assets: Build context models, certified demos, solution patterns, and deployment playbooks that accelerate customer engagements and improve engineering efficiency.

  • Influence product evolution: Partner with Product and Engineering to translate customer requirements, technical gaps, and field learnings into scalable platform 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 in enterprise data, AI/ML, solutions engineering, or technical consulting, with a focus 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

  • Strong technical foundation in data architectures, data modeling, and scalable AI/analytics solutions, with experience navigating complex environments.

  • Excellent communication and stakeholder management skills, with the ability to engage technical and executive audiences and translate technology into business value.

  • 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


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.


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.

How this job compares

Set against the 521 open Field Engineering jobs on Olive Jobs, counted November 9, 2026.

Pay
  • This postingNot listed
  • California median$181–242K/yr48 salary ranges
  • US median$22–25/hr69 hourly ranges
Openings
Olive Jobs lists 68 open Field Engineering jobs in California and 521 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 10 years of experience — more than three in four Field Engineering postings that state a minimum ask for (median 5 years, across 381 postings).
Education
126 of the 521 open Field Engineering jobs (24%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 9, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

Prepare for this role

You've read the whole posting — now see how you match it.