AI Architect

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

👻 Ghost score 10%

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PairSoft

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

PairSoft is a leading provider of accounts payable (AP) automation, procurement, and document management solutions designed to enhance efficiency and reduce manual processes for mid-size and enterprise businesses. With a focus on streamlining invoice processing, procurement, document management, and fundraising automation, PairSoft integrates seamlessly within ERPs like Microsoft Dynamics, NetSuite, and Oracle Financials. By offering intuitive AI technology, PairSoft aims to eliminate inefficiencies, improve team collaboration, and empower organizations to focus on higher-value tasks. Particularly serving industries such as Healthcare, Higher Education, and Nonprofit, PairSoft helps businesses make better data-driven decisions and manage workflows effectively.

📋 Description

• Define and publish the target-state AI architecture across product lines • Establish central-services and application-layer boundaries • Make technology decisions covering model providers, orchestration frameworks, vector stores, evaluation and observability platforms, guardrails, and agent frameworks • Establish architecture decision criteria and decision-record processes • Design for tenant isolation, PII handling, and regional data residency with the CISO • Lead development of the central AI platform, including model gateway, prompt registry, RAG-as-a-service, guardrails, content safety, evaluations, telemetry, cost attribution, and audit logging • Own the phased roadmap for discovery, platform build, product migration, and optimization • Partner with product engineering leaders to migrate existing AI features without disrupting customer commitments • Establish observability, SLOs, incident response, and on-call practices for AI services • Implement per-request cost tagging, unit economics dashboards, tenant budgets, and rate limits • Chair the cross-product AI Council • Own AI infrastructure and tooling vendor relationships • Lead build-versus-buy analysis and commercial negotiations • Present AI architecture and roadmap in leadership reviews and private-equity sponsor conversations, including technical due diligence • Recruit and lead the AI Platform team • Establish the operating model between the central platform team and embedded AI engineers • Mentor engineers across the portfolio on AI patterns, evaluation, and safe deployment

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or equivalent • 10+ years of engineering experience • At least 5 years in senior architecture roles at enterprise B2B SaaS companies • 3+ years of hands-on production experience with LLM-based systems, including RAG, agents, evaluation, prompt engineering, and inference optimization • 3+ years of people management experience, including recruitment, motivation, and development of 3+ teams in a global setting • Track record building an AI or ML platform consumed by multiple product teams • Experience designing and shipping shared infrastructure • Strong delivery leadership and experience shipping platforms on time, on budget, and with operational discipline • Deep cloud-native architecture experience on Azure and AWS • Comfort with Kubernetes, IaC, and modern data platforms • Fluency across the modern LLM ecosystem, including OpenAI, Anthropic, Azure OpenAI, Bedrock, open-source models, LangChain or LlamaIndex, vector databases, and LangSmith or Langfuse • Understanding of AI security and compliance, including prompt injection, tenant isolation, PII handling, SOC 2, GDPR, and vendor risk • Ability to communicate architecture decisions and tradeoffs to executive audiences, private-equity sponsors, and technical due diligence teams • Fluency in English

🏖️ Benefits

• Work-from-home and/or office environment flexibility • Collaborative culture • Career opportunities to learn, grow, and create meaningful impact • Reasonable accommodation available for disabilities or special needs

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