Remote Agentic Context Engineer for Enterprise AI

WisdomAI; United States; Remote; USD 170,000 - 230,000; Full time

Job summary

WisdomAI is seeking an experienced Agentic Context Engineer to guide customers from solution shaping through scaled deployment in a remote-capable Field Engineering team. You will operationalize WisdomAI across complex enterprise data landscapes, turning fragmented data into production-grade agentic intelligence systems powering automated workflows.

You will build semantic models, context workflows, and integrations while working with IT and security teams to meet governance and performance

Qualifications

• 10+ years of enterprise data, AI/ML, solutions engineering, or technical consulting experience.
• Bachelor’s or Master’s in Engineering, Data, or related field.
• Experience across both customer-facing pre-sales and post-sales engagements.
• Strong foundation in data architectures, data modeling, and scalable AI/analytics solutions.
• Excellent communication and stakeholder management skills with the ability to translate technology into business value.
• High ownership mindset with a focus on real outcomes.

Responsibilities

• Lead 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.

Skills

Enterprise data

AI/ML

Solutions engineering

Pre-sales & post-sales

Stakeholder management

Ownership mindset

Python

SQL

Data governance

Education

Bachelor’s or Master’s in Engineering/Data/related field

Tools

Python

SQL

Job description

WisdomAI is seeking an experienced Agentic Context Engineer to guide customers from solution shaping through scaled deployment in a remote-capable Field Engineering team. You will operationalize WisdomAI across complex enterprise data landscapes, turning fragmented data into production-grade agentic intelligence systems powering automated workflows.

You will build semantic models, context workflows, and integrations while working with IT and security teams to meet governance and performance