Role: Principal Architect, Platform
About interos.ai:
interos.ai is the standard for supply chain risk intelligence. Our Resilience platform, powered by an 11B buyer-supplier knowledge graph and 250M+ businesses scored across six risk factors, Cyber, Catastrophic, ESG, Restrictions, Geopolitical, and Finance, is run by Fortune 1000 market leaders and trusted by major Federal departments. As the only AI-powered SaaS platform that comprehensively assesses risk across these domains, interos.ai helps customers understand their exposure through our proprietary iScore® and assists both real-time and anticipatory opportunities to mitigate supply chain risk.
Our second-generation platform, iQ, is the industry's first fully productized predictive analytics platform for supply chain risk. iQ orchestrates ERP and Resilience platform insights to deliver AI-driven suggestions for supply chain risk management, helping organizations quantify financial exposure, stay ahead of geopolitical volatility and shifting tariffs, and communicate risk in the language CFOs use every day.
We are not afraid to challenge conventions, explore new ideas, and iterate quickly. Our work is meaningful, the problems are complex, and the pace requires focus, curiosity, and adaptability.
We are looking for people who are humble in how they collaborate, hungry to succeed, and smart in how they work. People who thrive here are energized by broad exposure, comfortable navigating ambiguity, open to feedback, proactive in taking ownership, and motivated by making a real impact.
About the Role:
The Principal Architect, Platform is one of the most important hires interos.ai is making right now. Reporting directly to our SVP of Engineering, this role sits at the center of our next phase of growth, owning the architecture of the enterprise-grade scalable platform that will power interos.ai's product vision to drive proactive supply chain risk mitigation. This is a hands-on individual contributor role with organization-wide technical influence. You will own the architecture of our cloud-native platform from end to end, driving decisions on scalability, reliability, data architecture, API design, service decomposition, and developer experience. You will work closely with Engineering, Product, and Security leadership to translate business and product strategy into acoherent, future-proof technical foundation. This is not an advisory or governance role. You will design, prototype, and validate architectural decisions, and you will be the person others turn to when the hard technical decisions need to be made. If dealing with technical architecture and design decisions is something you live and breathe, and if you believe the best designs are the simplest ones, this role is for you.
What You'll Do
Define and own the long-term technical architecture of the interos.ai platform, including microservices topology, data infrastructure, API contracts, event streaming, and platform scalability strategy
Own the architectural decision-making process across Engineering, reducing cycle time on design questions by establishing clear patterns, precedents, and guardrails that empower teams to move fast without going back to first principles every time
Lead architectural design reviews across Engineering teams, setting standards for system design, inter-service communication, data modeling, and platform extensibility
Partner with Product and Engineering leadership to translate product roadmap into architectural requirements, identifying technical risk, sequencing trade-offs, and enabling teams to move with speed and confidence
Design and champion platform capabilities that are foundational to multiple product areas, including multi-tenancy, data pipeline architecture, search and graph infrastructure, and platform observability
Establish and maintain engineering standards, and reference architectures that enable consistent, high-quality engineering across teams
Identify and address systemic technical debt, leading initiatives to modernize, simplify, or replace components that limit platform scalability or developer velocity
Collaborate with the Security Architect to ensure security and compliance requirements are addressed at the architecture layer, with a particular focus on FedRAMP, IL4/IL5, and enterprise customer trust requirements
Mentor and elevate senior engineers, acting as a force multiplier by sharing patterns, reviewing critical designs, and raising the overall architectural maturity of the organization
Represent interos.ai's technical architecture in conversations with enterprise customers, partners, and prospects where platform scalability, reliability, and security are part of the buying decision
Stay current on industry trends in distributed systems, cloud-native architecture, AI/ML platform patterns, and data engineering, bringing relevant innovations back to the team
What You Bring
12+ years of software engineering experience, with at least 5 years in a senior architecture or staff/principal engineering role at a cloud-native SaaS company
Deep expertise designing and operating large-scale distributed systems, including microservices architecture, event-driven design, and API platform strategy
Hands-on experience with data platform architecture, including streaming pipelines (Kafka or equivalent), graph data models, search infrastructure (Elasticsearch or equivalent), and large-scale data processing
Proven ability to define and drive architectural strategy across multiple engineering teams, influencing without direct authority
Experience with multi-tenant SaaS architecture, including tenant isolation, data partitioning, and scalability patterns for enterprise customers
Experience dealing with first party data in enterprise systems
Track record of making and documenting significant architectural decisions with clear rationale, trade-off analysis, and long-term thinking
Strong engineering fundamentals across systems design, reliability engineering (SLIs, SLOs, SLAs), and platform observability (logging, metrics, tracing)
Excellent written and verbal communication skills, with the ability to explain complex architectural concepts to both technical and non-technical audiences
Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent experience
A design philosophy grounded in simplicity — you believe the best architectures are the easiest to understand, and you have a track record of taking complex systems and making them elegantly simple
Bonus Points For
Experience architecting platforms for federal government customers, including familiarity with FedRAMP, IL4/IL5, or DoD cloud security requirements
Background in supply chain intelligence, risk analytics, or graph-based data platforms
Experience with AI/ML platform infrastructure, including model serving, feature stores, and MLOps pipelines
Familiarity with Kubernetes and container orchestration at scale
Contributions to open source projects or external technical writing, conference talks, or other evidence of thought leadership in the distributed systems or platform engineering space
What We Offer
Comprehensive health, dental, and vision insurance
401(k) with employer match
Flexible Time Off (FTO) + 10 paid holidays
Opportunity to help shape an early, fast-growing market
A flexible, remote-first work environment that empowers you to perform at your best, wherever you are
An incredible culture built on trust, accountability, and collaboration across time zones and teams
Our Core Values
Technical Skill
We hold a performance-driven standard across everything we build and deliver. We value depth of expertise, strong judgment, and the ability to turn complex challenges into clear, effective solutions.
Will
We show up hungry, humble, and smart. We take ownership, seek growth, and elevate one another through curiosity, accountability, and collaboration.
Thrill
We stay connected and bring energy to the work. Meaningful relationships and celebrating wins together fuel great outcomes.
Additional Information
Work Environment, Location, and Travel: This role can be remote-first within the United States, with optional access to our Arlington, VA HQ. Occasional travel may be required for team summits, customer engagements, or industry events.
Compensation: Base Salary Range: $220,000 to $260,000 USD (depending on experience and location)
Variable Compensation: Eligible for annual performance bonus
Equity: Stock options included as part of total compensation package
Equal Opportunity Employer
interos.ai is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of race, religion, gender identity, sexual orientation, age, disability, or veteran status.
Accessibility & Accomodations
We are committed to providing reasonable accommodations for candidates throughout the hiring process. If you need assistance, please contact us at
[email protected].