Agentic Context Engineer

The role

You will work within a Field Engineering team to guide customers from early solution shaping through scaled deployment. You will build scalable context and semantic models, agentic workflows, and integrations across enterprise data environments.

What you will do

• Drive technical pre-sales engagements including discovery, workshops, and POCs
• Own initial post-sales implementation from deal closure to production deployment
• Design and build scalable context and semantic models and agentic workflows
• Solve complex enterprise technical challenges regarding integration, performance, and security
• Develop reusable engineering assets like context models and deployment playbooks
• Influence product evolution by translating customer requirements into platform capabilities
• Serve as a technical advisor to customer architects and executive stakeholders

Required qualifications

• 10+ years of experience in enterprise data, AI/ML, solutions engineering, or technical consulting
• 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
• Excellent communication and stakeholder management skills
• High ownership mindset
• Hands-on experience with modern analytics and cloud data platforms, including semantic and metadata layers
• Advanced SQL and strong Python proficiency
• Understanding of how Generative AI works, including prompt engineering, RAG, and evaluation sets
• Familiarity with data governance, security, access controls, and performance optimization

Benefits

• Work at the cutting edge of Generative AI and Enterprise Data
• High autonomy in a flat organization
• Opportunity to work with a world-class engineering team

About the company

WisdomAI builds AI-powered analytics that help people unlock clarity from complexity. The team is composed of founding engineers and leaders from Google, Meta, AWS, Rubrik and Glean.