• Own the strategy & design the framework to define partnership & customer models: Deep Embedded (white-label components), Best-of-Breed SaaS (standalone platform with APIs), Data Layer Only (via API)
• Evaluate architectural tradeoffs across complexity, risk, scalability, time-to-market, and value capture for each pattern
• Make build vs. buy decisions: direct API integrations vs. iPaaS middleware vs. embedded agents
• Define authentication strategies across OAuth 2.0, certificate-based auth, and federated identity for different customer security models
• Create deployment patterns that work across on-premise, cloud, and hybrid environments
• Design for portfolio risk: no single integration pattern should represent more than 60% of implementations

What You Will Do

Design and Build Bidirectional Integrations with Partner and Customer Data Systems

• Systems include ERPs and telematics platforms.

Build Structured Knowledge Systems

• Transform customer data into relational based structure using an agreed upon approach, such as relational databases or graph databases, like AWS Neptune or Neo4J.

Enrich Knowledge Systems

• Help strategize and build ingestion pipelines that enrich underlying data such as by extracting relationships or combining disparate sources.

Help Develop Data Retrieval and Navigation

Work with other members of the team, to develop methods to intelligently transverse the data for the larger systems. This could involve graph database traversal algorithms, agent-based retrieval and orchestration approaches using a variety of AI tools. Build tool functions that are used by retrieval processes or agents. These could include graph queries, customer API calls, or inventory checks.

Evaluate Partnership Models

Work with founders to evaluate integration architectures across different customer & partnership strategies (deep embedded, best-of-breed SaaS, data layer only). Make build vs. buy decisions for integration infrastructure. Design authentication and deployment patterns that work across on-premise, cloud, and hybrid environments.

Help Architect Event-driven Systems

Support automated workflows and implement multiple integration patterns (Direct API, middleware/iPaaS, embedded agents, webhooks) to support different customer and partnership models.

What We Are Looking For?

Integration Development

• Track record building bidirectional API integrations with enterprise systems
• Experience coding with Python, SQL
• Experience with event-driven architectures, webhooks, and async workflows
• Knowledge of authentication models (OAuth 2.0, SAML, certificate-based)
• Understanding of iPaaS platforms or ability to architect similar middleware

Graph, Semantic & AI Systems

• Ability to model complex domain relationships as graph structures, not tables
• Experience with graph databases (Neptune, Neo4j) and ontology design
• Understanding of semantic query languages (Gremlin, SPARQL) and entity resolution
• Familiarity with AI retrieval approaches and agentic data access method

Data Engineering and Evaluation Excellence

• Strong experience normalizing data from disparate sources with conflicting formats
• Obsession with accuracy — compatibility data must be correct
• Experience building automated validation and conflict resolution systems

Nice-to-Haves

• Experience in automotive, heavy equipment, or industrial IoT domains
• Background with B2B marketplace platforms requiring multi-party data synchronization
• Experience with embedded/white-label integration models or AI agent frameworks
• Knowledge of industry standards (ACES, PIES, OAGIS) or similar B2B data formats
• A network of sec-ops and ML compliance resources and colleagues to tap as we scale our team

This Role Is NOT For You If:

• You prefer building features over foundational infrastructure
• You need complete requirements before designing systems
• You view integration work as "plumbing" rather than strategic architecture

Why This Role Matters?

Strategic Infrastructure Impact

• Your architecture decisions determine which customer and partnership models are viable. You're defining patterns that shape our business strategy, not just implementing requirements.

Novel Technical Challenges

• Knowledge graphs for industrial equipment, agentic AI grounded in semantic data, multi-modal integration architectures, and real-time operational workflows. Few engineers work across this breadth of greenfield infrastructure.

Architecture as Product

• Your integration framework isn't internal tooling—it's what customers evaluate when deciding to work with us. You'll think like both an engineer and a product strategist.

Role Level & Details

Leadership & Team

• You will have one staff-level direct report with dotted lines across a team of engineers. You will be expected to deliver 80% hands-on code development with 20% oversight across our vendors and team. We can be flexible on title for the right candidate.

Location: East Coast & Mid-West - US (remote), Belfast or South London, UK (Hybrid-office)

Visa: Cannot sponsor at this time

Start: Immediate availability preferred

Ready to Build Infrastructure That Matters?

If you're excited about designing integration architecture at the intersection of graph databases, AI agents, and enterprise systems—where your technical decisions have direct business impact—we want to hear from you.