Founding Lead Engineer / Principal Systems Architect

Jobgether · US

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Founding Lead Engineer / Principal Systems Architect based in the United States.

This is a foundational engineering role responsible for designing and building a next-generation evidence-governed AI and data platform from the ground up. The work sits at the intersection of distributed systems, data architecture, and applied AI in high-trust, regulated environments such as healthcare integrity and compliance-heavy domains. You will operate at both strategic and hands-on levels, translating abstract system concepts into production-grade software, scalable infrastructure, and validated workflows. The role demands deep technical ownership, from data modeling and service design to model integration and secure deployment. You will collaborate closely with a concept architect to shape system architecture in real time and rapidly turn ideas into working prototypes. This is a high-impact, founding-level opportunity to define core technical foundations that will scale across multiple regulated industries. The environment is fast-moving, ambiguous, and deeply engineering-driven, with strong emphasis on correctness, auditability, and security.

Accountabilities:

  • Translate high-level system concepts into concrete architectures, including service maps, APIs, schemas, and implementation roadmaps.
  • Design and build backend systems in Python, including APIs, data pipelines, orchestration layers, and distributed services.
  • Develop identity resolution, entity linking, evidence management, and audit-ready data systems.
  • Architect relational, graph, and retrieval-based data layers supporting complex, high-integrity workflows.
  • Implement LLM integration layers including model routing, structured outputs, evaluation, and validation systems.
  • Build deterministic, auditable workflows for regulated-domain decisioning and reporting.
  • Create prototypes for internal review systems, visualization tools, and human-in-the-loop workflows.
  • Lead infrastructure design using Kubernetes, CI/CD, observability, and secure deployment practices.
  • Establish engineering standards for testing, documentation, validation, and system reliability.
  • Build benchmarking, regression testing, and data quality validation frameworks.
  • Requirements:

    • 8–12+ years of software engineering experience or equivalent exceptional technical background.
    • Expert-level Python development experience in production environments.
    • Strong background in backend systems, distributed architectures, and API design.
    • Experience with relational databases (ideally PostgreSQL) and complex data modeling.
    • Familiarity with graph systems, entity resolution, or knowledge graph design.
    • Hands-on experience integrating LLMs or building AI-driven systems with structured outputs.
    • Strong DevOps and infrastructure experience (Docker, Kubernetes, CI/CD, secure deployments).
    • Experience with data validation, audit logging, RBAC, and secure system design principles.
    • Ability to translate ambiguous system concepts into scalable technical solutions.
    • Strong communication skills and comfort working closely with non-engineering stakeholders.
    • Experience in regulated industries (healthcare, finance, government, cybersecurity) is highly valued.
    • Benefits:

      • Competitive compensation aligned with seniority and experience.
      • Equity or founding-team participation opportunities for exceptional candidates.
      • Fully remote or hybrid flexibility depending on preference.
      • Comprehensive medical coverage options with strong employer contribution.
      • Self-managed PTO with minimum encouraged time off for work-life balance.
      • Opportunity to work on high-impact, mission-critical AI systems in regulated domains.
      • Direct influence over core system architecture and technical direction from day one.
      • Exposure to advanced AI, distributed systems, and infrastructure challenges at scale.

Software pay context

Based on 7,764 disclosed Software salaries on RoleSuite, the role pays a median of $158K/year, with most offers between $123K and $199K (10th–90th percentile: $101K–$235K).

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