Lead AI Architect

Job not on LinkedIn

🔥 0 minutes ago

🏄 California, Colorado, +14 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🦀 Maryland – Remote ❄️ Minnesota – Remote 🔔 Pennsylvania – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote ⛰️ West Virginia – Remote

💵 $191k - $255k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

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Accurate Background

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1997

👥 HR Tech

☁️ SaaS

🤝 B2B

💰 Private Equity Round - Accurate Background on 2020-02

HR Tech • SaaS • B2B

Accurate Background is a global employment background screening provider that helps employers conduct pre-employment and ongoing screening. Accurate offers services such as criminal background checks, identity verification, drug and health screening, driving history, credit checks, I-9 & E-Verify, global searches, monitoring, and social media checks through a mobile-first platform, API, and integrations with applicant tracking systems. Founded in 1997 and minority-owned, Accurate serves over 16,000 customers worldwide, conducts 60M+ annual searches, supports multiple industries (healthcare, retail, transportation, staffing, financial services, gig marketplaces), and emphasizes compliance with global data and privacy regulations.

📋 Description

• Lead the architecture, design, and technical direction for AI-enabled solutions, including AI agents, tools, GenAI-powered applications, and reusable AI services • Define enterprise AI architecture standards, reusable patterns, reference architectures, and engineering guardrails • Establish foundational AI Center of Excellence standards for scalable, secure, responsible, and production-ready AI adoption • Architect and guide development of an AI lab for experimentation, prototyping, evaluation, model testing, and rapid iteration • Define and operationalize AI-DLC practices covering experimentation, evaluation, governance, deployment, monitoring, and continuous improvement • Design reusable and scalable AI platforms, services, APIs, orchestration patterns, and integration layers • Partner with business and technology leaders to identify, prioritize, and deliver AI use cases that drive operational efficiency and measurable business value • Define architecture patterns for RAG, prompt engineering, agent orchestration, tool calling, memory management, and human-in-the-loop workflows • Architect AI agent ecosystems, tool integrations, and orchestration workflows across enterprise platforms and systems • Provide technical direction on LLMs, SLMs, embeddings, vector search, model APIs, model selection, and AI service integration • Create architecture blueprints, technical designs, reusable frameworks, decision records, and implementation standards • Ensure AI solutions are secure, observable, maintainable, compliant, and aligned to enterprise architecture principles • Establish and enforce AI governance practices covering responsible AI, data protection, privacy, compliance, auditability, and risk controls • Guide deployment, monitoring, troubleshooting, and operational readiness of AI applications and platforms • Define evaluation frameworks, quality benchmarks, feedback loops, and AI performance measurement approaches • Partner with stakeholders to move AI ideas from concept through architecture, experimentation, production, and scale • Mentor engineers, architects, and product teams on AI-native architecture, AI engineering practices, and responsible AI solution design • Influence technology selection and platform strategy across AWS, Azure, AI-native PaaS services, agent frameworks, observability tools, and enterprise integration patterns

🎯 Requirements

• Bachelor’s degree in computer science or equivalent experience • 10+ years of software engineering, solution architecture, enterprise architecture, cloud architecture, and/or AI architecture experience • 8+ years of experience designing and delivering cloud-native solutions using modern architecture patterns • Strong programming background, preferably with Python, and ability to guide architecture for Python-based AI services and applications • Hands-on experience architecting or building AI-enabled applications, GenAI solutions, AI agents, or AI platforms • Experience with AWS and/or Azure, including AWS Bedrock, AWS AgentCore, Azure AI Foundry, and Azure OpenAI • Strong understanding of GenAI architecture patterns, including LLM/SLM model selection, RAG, prompt engineering and evaluation, agentic workflows, tool/function calling, embeddings and vector search, human-in-the-loop systems, AI observability and monitoring, and model evaluation and quality benchmarking • Experience with agent frameworks and orchestration tools such as LangGraph, Semantic Kernel, or similar technologies • Experience with LLM ecosystems and providers such as OpenAI, Anthropic, Llama, Mistral, or similar model providers • Experience with vector databases and retrieval systems such as Pinecone, Azure AI Search, or equivalent technologies • Experience with tool, agent, and UI interoperability patterns, including AG-UI, A2A, MCP, registries, and reusable service layers • Experience integrating APIs, microservices, event-driven systems, and enterprise platforms into AI workflows • Strong understanding of microservices, APIs, event-driven systems, cloud services, serverless patterns, and platform-based architectures • Experience working in Agile/Scrum environments and partnering with product, engineering, operations, security, and compliance teams • Strong understanding of AI governance, responsible AI, privacy, compliance, and risk management considerations • Ability to translate business problems into scalable AI architecture, reusable solution patterns, and implementation roadmaps • Strong analytical, communication, decision-making, and problem-solving skills • Self-starter with the ability to lead through ambiguity, influence technical direction, and collaborate across teams

🏖️ Benefits

• Annual performance-based bonus, commission, or other variable pay plan may be available • Medical benefits • Dental benefits • 401k • Fun, fast-paced environment with lots of room for growth