Enterprise AI Context Architect

Wisdom-Ai; San Francisco (CA); On-site; USD 180,000 - 280,000; Full time

Job summary

WisdomAI is hiring an Agentic Context Engineer in San Francisco to guide customers from early solution shaping to scaled deployment. You will operationalize WisdomAI across complex enterprise data landscapes, turning fragmented data into production-grade agentic intelligence systems powering automated workflows.

This hands-on role is for builders who ship real systems and own outcomes end-to-end, collaborating with customers, security teams, and executive stakeholders.

Qualifications

• 10+ years in enterprise data, AI/ML, or solutions engineering with business impact.
• Degree in Engineering, Data, or related field, or equivalent experience.
• Experience across both pre-sales and post-sales engagements.

Responsibilities

• Lead technical discovery, workshops, architecture, POCs, and evaluations with Sales.
• Own post-sales implementation from deal closure to production deployment.
• Design scalable context and semantic models and agentic workflows.
• Address integration, governance, security, and scalability in enterprise data env.
• Build reusable assets and deployment playbooks to speed engagements.
• Collaborate with Product to translate field learnings into platform capabilities.
• Advise customer architects and executives as a trusted technical resource.

Skills

Enterprise data

AI/ML

Solutions engineering

Pre-sales / post-sales

Communication

Ownership mindset

Education

Engineering degree

Tools

SQL

Python

Semantic models

Job description

WisdomAI is hiring an Agentic Context Engineer in San Francisco to guide customers from early solution shaping to scaled deployment. You will operationalize WisdomAI across complex enterprise data landscapes, turning fragmented data into production-grade agentic intelligence systems powering automated workflows.

This hands-on role is for builders who ship real systems and own outcomes end-to-end, collaborating with customers, security teams, and executive stakeholders.