Field Engineer. AI Solutions. Contract.

At Data Intellect it has never been just about data or technology, they are our tools. It’s about human intellect, collaboration and providing solutions for the most complex of challenges.

We do this by living the [DI] code

We are Problem Solvers who are Humble , possess a Can-do Attitude with a focus on Togetherness .

“We are not big on egos, but we’re not for the faint-hearted either” – Steve Turner, CEO

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.

Responsibilities

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: 3 years in software engineering and solution architecture for B2B platforms (data/AI/automation preferred).; Technical Skills:; 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-Have: Exposure to AI agents, LLM/RAG pipelines, and MLOps.