Agentic Context Engineer

About the role

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.

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

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.