Agentic Context Engineer

Wisdom AI

1d

About The Position

WisdomAI builds AI-powered analytics that help people find clarity in complex business data. Its platform explains the reasoning behind insights so teams can move from data to decisions with speed, confidence, and context. WisdomAI serves companies including Cisco, Patreon, and Rubrik and is backed by Tier-1 VCs, with a team that includes engineers and leaders from Google, Meta, AWS, Rubrik, and Glean.

The Agentic Context Engineer works within the Field Engineering team to guide customers from early solution shaping through scaled deployment. The role operationalizes WisdomAI across complex enterprise data landscapes, turning fragmented data into production-grade agentic intelligence systems that support automated insight-to-action workflows. This is a hands-on builder role with end-to-end ownership of systems and outcomes.

The engineer leads technical pre-sales work and initial post-sales implementation, builds enterprise AI solutions and reusable engineering assets, addresses customer technical challenges, and brings customer needs and field learnings to Product and Engineering. The role also serves as a trusted technical advisor to customer architects, data leaders, and executive stakeholders.

Requirements

• 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 degree in Engineering, Data, or a related field, or equivalent experience.
• Experience across both customer-facing pre-sales and post-sales engagements.
• Strong foundation in data architectures, data modeling, and scalable AI/analytics solutions, including 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 focused on real outcomes.
• Hands-on experience with modern analytics and cloud data platforms, including semantic and metadata layers.
• Advanced SQL skills and strong Python proficiency for data transformation, orchestration, and automation.
• Understanding of Generative AI, including prompt engineering, RAG (Retrieval-Augmented Generation), and evaluation sets.
• Familiarity with data governance, security, access controls, and performance optimization in enterprise environments.

Responsibilities

• Partner with Sales on technical discovery, customer workshops, solution architecture, proofs of concept, and evaluations; translate business challenges into valuable use cases and technical wins.
• Lead technical execution from deal closure through initial production deployment, including data onboarding, context modeling, validation, user enablement, and structured handoff.
• Design and build scalable context and semantic models, agentic workflows, and integrations across complex enterprise data environments.
• Work with customer data, IT, and security teams to address integration, performance, governance, security, and scalability requirements.
• Build reusable context models, certified demos, solution patterns, and deployment playbooks to accelerate engagements and improve engineering efficiency.
• 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.

Benefits

• Work at the cutting edge of Generative AI and Enterprise Data.
• High autonomy in a flat organization, with work that directly impacts the product roadmap and company success.
• Opportunity to work with an engineering team from successful technology companies.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior