Principal AI Architect
SecurityScorecard · Hybrid (Austin, TX)
Posted 6 days ago · $240,000 - $300,000
or apply directly on SecurityScorecard's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 6 days SecurityScorecard's roles stay open a median of 43 days
- Reposted
- No
- Salary listed
- Yes 65% of SecurityScorecard's roles list one
- Ghost-job risk at SecurityScorecard
- high 22 stale, 0 reposted of 49 open
- Hiring momentum
- 102 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from SecurityScorecard's own greenhouse board since 2026-08-03. Full hiring picture for SecurityScorecard.
About this role
The Principal AI Architect at SecurityScorecard will lead the system design for agentic AI capabilities, collaborating closely with engineering teams, Data Science, and product management. This role involves prototyping, writing technical design documents, and ensuring the integration of AI features into the existing platform. The architect will also mentor engineers and communicate architectural decisions to stakeholders, driving the adoption of AI-assisted development practices across the organization.
- benefits
- 4/5
- freshness
- 5/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of SecurityScorecard as an employer.
What you need
- 10+ years of software engineering experience, including significant time as a senior, staff, or principal-level architect or technical lead designing production systems
- Deep expertise in distributed systems: service boundaries, consistency models, event-driven architecture, API design (REST; gRPC familiarity a plus), and operating systems reliably at scale
- Hands-on experience building, prototyping, and architecting agentic or LLM-powered systems in production
- Working knowledge of data engineering fundamentals, including data modeling, pipeline design, and streaming vs. batch
- A track record of influence without authority: presenting a technical direction to skeptical engineers and earning genuine buy-in
- Strong technical writing and mentorship: TDRs, design docs, and decision records that teams can act on without hand-holding
Nice to have
- Familiarity with multi-agent orchestration patterns
- Experience with our stack or comparable technologies: Node.js/TypeScript, PostgreSQL, ClickHouse, Kafka, AWS, Kubernetes
- Experience leading AI-assisted or agentic development adoption across an engineering organization
- Experience partnering closely with data science or ML teams on productionizing their work
- Cybersecurity industry background
What you get
- Competitive salary
- Stock options
- Health benefits
- Unlimited PTO
- Parental leave
- Tuition reimbursements
Worth weighing
- No specific mention of remote work flexibility beyond hybrid
- Role heavily focuses on system design and architecture, may not involve hands-on coding as much as prototyping and documentation
- The position does not provide immigration sponsorship
Summarised from SecurityScorecard's posting. Read the full original.
Listed by SecurityScorecard on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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