AI Architect

• Define and publish the target-state AI architecture across the product lines, including central services versus application-layer boundaries.
• Own the technology decisions: foundation model providers, orchestration frameworks, vector stores, evaluation and observability platforms, guardrails, and agent frameworks.
• Establish architecture decision criteria and the decision-record process. Ensure every significant call is defensible, documented, and revisitable.
• Design for tenant isolation, PII handling, and regional data residency from day one, working with the CISO on the security envelope.

• Lead the build of the central AI platform: model gateway, prompt registry, RAG-as-a-service, guardrails and content safety, evals and telemetry, cost attribution, and audit logging.
• Own the phased roadmap: discovery and decisions, platform build, migration of existing product AI features to the platform, and optimization.
• Partner with product engineering leaders across all product lines to migrate existing AI features onto the central platform without disrupting customer commitments.
• Set the operational bar: observability, SLOs, incident response, and on-call model for AI services.

• Stand up per-request cost tagging and the AI unit economics dashboard. Track cost per feature, per customer, and per model. Enforce budgets and rate limits per tenant.
• Chair a cross-product AI Council to govern shared standards, new use case intake, and vendor decisions.
• Own vendor relationships for AI infrastructure and tooling. Lead build-versus-buy analysis and commercial negotiation with product and finance partners.
• Prepare and represent the AI architecture and roadmap in leadership reviews and private-equity sponsor conversations, including technical due diligence.

• Recruit and lead the AI Platform team as the function grows.
• Establish the operating model between the central platform team and embedded AI engineers across product lines.
• Mentor engineers across the portfolio on AI patterns, evaluation practices, and safe deployment.

• Bachelor's or Master's degree in Computer Science, Engineering, or equivalent.
• 10+ years of engineering experience, with at least 5 years in senior architecture roles at enterprise B2B SaaS companies.
• 3+ years of hands-on production experience with LLM-based systems: RAG, agents, evaluation, prompt engineering, and inference optimization.
• 3+ years people management experience, including recruitment, motivation and development of 3+ teams in global setting.
• Demonstrated track record building an AI or ML platform consumed by multiple product teams. You have designed and shipped shared infrastructure, not just individual features.
• Strong delivery leadership. You have shipped platforms on time, on budget, and with the operational discipline required to run them in production.
• Deep cloud-native architecture experience on Azure and AWS. Comfort with Kubernetes, IaC, and modern data platforms.
• Fluency across the modern LLM ecosystem: OpenAI, Anthropic, Azure OpenAI, Bedrock, open-source models, LangChain or LlamaIndex, vector databases, and observability tools like LangSmith or Langfuse.
• Clear grasp of AI security and compliance: prompt injection, tenant isolation, PII handling, SOC 2, GDPR, and the vendor risk questions PE-owned SaaS companies face.
• Ability to communicate architecture decisions and tradeoffs to executive audiences, including private equity sponsors and technical due diligence teams.
• Fluency in English

• Domain experience in procure-to-pay, ERP integration, accounts payable, procurement, or adjacent finance and operations software.
• Prior experience at an international PE-backed B2B SaaS company, ideally one that went through or is preparing for a liquidity event.
• Experience integrating and consolidating AI capabilities across products acquired through mergers and acquisitions.
• Direct experience with agent frameworks in production (LangGraph, AutoGen, or custom orchestration), fine-tuning, and multi-model routing.
• Experience leading a central platform team through a technology consolidation program.
• Prior participation in technical due diligence, either as owner or advisor.

About the Company

We are a global team of innovators and advocates transforming how financial data is captured, stored, and manipulated with our comprehensive suite of automation technology. Our platform seamlessly integrates with your existing ERP for an unrivaled end-user experience. We do the heavy lifting so accounting, procurement, and fundraising teams can do their best work.

PairSoft’s aspires to be the strongest procure-to-pay platform for the mid-market and enterprise, with close integration to Microsoft Dynamics, Blackbaud, Oracle, SAP, Acumatica and Sage ERPs.

At PairSoft, we are passionate about innovation, transparency, diversity, and advocating on behalf of our customers and communities we support. We offer exciting career opportunities and a collaborative culture that allows individuals to learn, grow, and create meaningful impact. We are expanding and seeking team players who are eager to jump in and contribute to our rapid growth!

PairSoft is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status or any other protected status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please email us at: [email protected].

To read our Candidate Data Privacy Notice - including GDPR - click here.