Software Architect
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Job Description
Software Architect at Harbor Compliance defining and modernizing technical architecture for entity compliance platform. Leading AI-driven design and architecture for scalable systems.
Responsibilities:
- Define and maintain the technical architecture, establishing pragmatic patterns and guardrails that accelerate rapid, high-quality feature delivery.
- Lead the technical execution for migrating, decoupling, and modernizing legacy systems, owning the sequencing, risk mitigation strategies, and target-state designs to extract core business domains seamlessly.
- Establish the core shared framework for integrating agentic workflows, intelligent automation, and LLM orchestration across the platform with strict compliance auditability and AI API latency under 100 ms.
- Act as the definitive technical authority to proactively resolve cross-team architectural dependencies and ensure alignment across infrastructure and codebases.
- Collaborate with Product leadership and the VP of Engineering to translate business milestones into an actionable technical roadmap, grounding technical debt reduction directly in business outcomes.
- Author and embed standardized design templates into the software development lifecycle that leverage AI-assisted tools, driving 100% adoption across engineering pods and reducing cycle times by 35% or more.
- Work closely with development, QA, and security teams to ensure architectural blueprints are highly practical, realistic, and friction-free for execution.
- Design and implement LLM routing, caching, and model-governance architectures that optimize AI infrastructure costs to remain within 10% of the quarterly budget.
Requirements:
- 10 or more years of software engineering experience, including 4 or more years in a dedicated architecture or principal/staff engineer role.
- Proven track record leading large-scale legacy modernization, including defining target-state architecture, sequencing domain decoupling, and executing migrations with zero unplanned downtime.
- Demonstrated experience architecting production-level AI/ML systems, including LLM orchestration, agentic workflows, or intelligent automation at scale.
- Deep expertise in modern distributed systems architecture, microservices, event-driven design, API gateway patterns, and cloud-native infrastructure.
- Hands-on experience designing and governing AI/ML platform infrastructure, including LLM routing, prompt engineering patterns, vector databases, model evaluation frameworks, and cost optimization strategies.
- Strong command of cloud infrastructure, CI/CD pipeline architecture, automated testing frameworks, and enterprise SaaS security and compliance requirements.
- Experience partnering with VP and C-suite stakeholders to translate business strategy into technical roadmaps and smart investment decisions.
Benefits:
- health benefits
- flexible paid time off
- parental leave
- fertility and adoption assistance
- 401(k)
- educational reimbursement
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