Field Engineer. AI Solutions.

Data Intellect • New York, NY

1d

About The Position

We are partnering with a fast-moving AI-driven platform company transforming how businesses interact with data and automate workflows. Our technology enables seamless integration, real-time automation, and AI-powered decision-making. We’re seeking a Field Solutions Engineer to design and deliver scalable solutions for enterprise clients, blending engineering expertise with consultative architecture thinking.
What You’ll Do
Solution Build-Outs (Core Focus): Design and implement workflows, connectors, and APIs (REST/GraphQL) that scale.
Software Engineering (60%): Develop robust solutions using Python or Java, leveraging AI agents for code generation while reviewing and owning the final code.
Solutions Architecture (30%):
Assess gaps and define outcomes for client projects.
Map system architecture, draw specifications, and design scalable workflows.
Apply traditional solution architecture principles to ensure reliability and performance.
Client Engagement (10%): Lead technical workshops, communicate recommendations clearly, and maintain a consultative approach throughout delivery.
Data Expertise: Manage data pipelines and apply strong knowledge of data principles, including data warehousing and data lakes.
Continuous Improvement: Feed deployment learnings into product roadmap and documentation.

Requirements

• Experience: 5–10 years in software engineering and solution architecture for B2B platforms (data/AI/automation preferred).
• Proficiency in Python or Java.
• Strong understanding of data principles (warehousing and data lakes).
• Familiarity with APIs, event-driven patterns, and secure configuration management.
• Consulting Mindset: Ability to assess gaps, define outcomes, and recommend changes for evolving projects.
• Architecture Thinking: Skilled at drawing system designs and workflows that scale.
• Soft Skills: Excellent communication, client-facing confidence, and ability to thrive in high-stakes delivery environments.

Nice To Haves

• Exposure to AI agents, LLM/RAG pipelines, and MLOps.

Responsibilities

• Design and implement workflows, connectors, and APIs (REST/GraphQL) that scale.
• Develop robust solutions using Python or Java, leveraging AI agents for code generation while reviewing and owning the final code.
• Assess gaps and define outcomes for client projects.
• Map system architecture, draw specifications, and design scalable workflows.
• Apply traditional solution architecture principles to ensure reliability and performance.
• Lead technical workshops, communicate recommendations clearly, and maintain a consultative approach throughout delivery.
• Manage data pipelines and apply strong knowledge of data principles, including data warehousing and data lakes.
• Feed deployment learnings into product roadmap and documentation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed