5-10 years in software engineering and solution architecture, specifically for B2B platforms focused on data, AI, or automation.
Proficient in Python or Java for robust solution development.
Strong understanding of data principles including data warehousing and data lakes.
Ability to assess project gaps and define recommended outcomes clearly.
Skilled in designing system architectures and scalable workflows.
Excellent communication skills and confidence in client-facing situations.
Responsibilities
Design and implement scalable workflows, connectors, and APIs (REST/GraphQL).
Develop software solutions primarily using Python or Java, ensuring quality control of final code.
Assess client projects, identifying gaps and defining success outcomes.
Create system architecture maps and specifications for scalable workflows.
Lead technical workshops and communicate clear recommendations to clients.
Manage data pipelines and apply knowledge of data principles to solutions.
Integrate learnings into product documentation and contribute to continuous improvement.
Benefits
Work in a collaborative environment that values humility and teamwork.
Engage with cutting-edge AI-driven technology solutions.
Opportunities for professional development in a rapidly evolving field.
Inclusive workplace with a commitment to diversity and equality.
Full Job Description
Job Description
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.
Qualifications
Experience: 5-10 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.
Additional Information
A little background on DI
Simply put - we turn big data problems into smart data solutions
At our core, Data Intellect is a data and technology consultancy firm. Our key area of expertise is financial and capital markets technology solutions. However, the utility of these solutions allow us to apply fintech data expertise to other industries such as smart energy and healthcare.
This proprietary offering is complemented by a wealth of experience in data engineering, electronic trading systems, data capture applications, regulatory and compliance systems and middle and back-office enterprise web solutions.
