Software & AI Architect

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities

• Own the end-to-end technical architecture of the product portfolio, making decisions that support scalability, security, reliability, performance, and rapid product evolution.
• Establish engineering standards and architectural practices appropriate for enterprise, federal, and international customers handling sensitive financial and operational data.
• Define the organization’s AI strategy and roadmap, identifying opportunities where AI can deliver meaningful customer or business outcomes and prioritizing initiatives based on measurable value.
• Design and build AI-native product capabilities, including agentic functionality, LLM-based workflows, retrieval-augmented generation, model orchestration, prompt and agent architectures, and evaluation frameworks.
• Develop and operate an AI-driven development lifecycle that helps engineering teams move efficiently from concepts to production-ready software.
• Build and validate technical solutions directly within the codebase, using working prototypes and production systems to demonstrate the value of new architectural and AI initiatives.
• Own the technical foundation for responsible AI adoption, including model and vendor evaluation, data handling, access controls, security guardrails, and integration standards.
• Collaborate with internal AI adoption stakeholders to establish the infrastructure and controls required for secure, company-wide use of AI technologies.
• Operate as an individual contributor initially, taking ownership of architecture and AI initiatives while identifying when proven solutions warrant dedicated teams and additional investment.
• Partner with executive and engineering leadership on technology and AI investment decisions, connecting initiatives to measurable outcomes such as adoption, development velocity, cost efficiency, or revenue.
• Communicate initiative progress through clear metrics, transparent status reporting, and evidence-based recommendations.
• Build toward scalable or standalone SaaS architecture where appropriate, reducing unnecessary dependency on individual platforms while preserving enterprise-grade capabilities.

Requirements

• 8+ years of software engineering or architecture experience, including direct responsibility for designing and shipping production systems at scale.
• 3+ years of experience leading or contributing to teams in AI-native environments, with strong expertise in LLMs, RAG, agentic systems, and multi-agent architectures.
• Demonstrated hands-on software architecture experience, including ownership and evolution of production platform architecture rather than solely reviewing other teams’ designs.
• Proven hands-on AI architecture experience involving production LLM tooling, agentic workflows, and AI-native product capabilities.
• Direct experience within the ecosystem, ideally including hands-on architecture of applications rather than only external integrations.
• Experience launching systems, initiatives, or technical functions from the ground up without an established team or playbook.
• Strong ability to operate as a hands-on individual contributor while possessing the leadership range to recruit and build a team as initiatives mature.
• Deep engineering fluency, including the ability to write and review code and make informed architectural and technical trade-offs across conventional software and AI-native systems.
• Working knowledge of enterprise security, data governance, AI safety, access management, and technical guardrails applicable to enterprise, federal, and international environments.
• Strong executive communication skills, with the ability to translate technical complexity and trade-offs into actionable business decisions.
• A strong bias toward execution, experimentation, and measurable results rather than presentation-driven progress.
• Sound judgment and adaptability when operating in ambiguous environments where architecture and AI strategy are still being established.
• Bachelor’s degree in computer science, engineering, or a related discipline, or equivalent professional experience.
• Experience in IT Financial Management (ITFM), Technology Expense Management (TEM), FinOps, or enterprise IT cost management is preferred.
• Experience architecting beyond a single platform dependency and developing paths toward decoupled or standalone SaaS solutions is advantageous.
• Familiarity with FedRAMP or other federal SaaS compliance frameworks is a plus.
• Experience in a private-equity-backed or high-growth SaaS environment is preferred.
• Experience establishing technical foundations for company-wide AI adoption, including security guardrails, access management, or AI tooling standards, is highly desirable.
• Must be US-based and comfortable working remotely in a remote-first environment.

Benefits

• Competitive total compensation with a salary range of $200,000–$240,000 OTE.
• Comprehensive health, dental, and vision insurance.
• Paid time off with an emphasis on work-life balance and taking time away from work.
• 401(k) plan with employer matching.
• Remote-first working environment for US-based employees.
• Opportunity to shape enterprise AI architecture and technical strategy at a growth-stage organization.
• Significant autonomy and ownership over new technology initiatives and architectural direction.
• Opportunity to build and eventually lead a technical team as initiatives scale.
• Work on AI, software architecture, security, and enterprise technology challenges with direct executive visibility.
• Full-time, US-exempt position.