{"id":1561416,"url":"https://alion.io/job/accurate-lead-ai-engineer","title":"Lead AI Engineer","company":{"id":2046054,"name":"Accurate","domain":"accurate.com","url":"https://alion.io/company/accurate-com","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":121000,"max":185000,"currency":"USD","period":"year","gross":null,"usd_annual":185000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"Azure","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangGraph","optional":false},{"name":"Llama","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Mistral","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scrum","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Tool Use","optional":false},{"name":"Amazon CloudWatch","optional":true},{"name":"CI/CD","optional":true},{"name":"Context Engineering","optional":true},{"name":"Datadog","optional":true},{"name":"LangChain","optional":true},{"name":"LangSmith","optional":true},{"name":"NIST AI RMF","optional":true},{"name":"OpenTelemetry","optional":true}],"status":"live","first_seen_at":"2026-09-14T00:00:00Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-10-01T04:13:06Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"description":"When you join Accurate Background, you’re an integral part of making every hire the start of a success story. Your contributions will help us fulfill our mission of advancing the background screening experience through visibility and insights, empowering our clients to make smarter, unbiased decisions.\nJob Description:\nAccurate Background is a fast-growing organization focused on providing employment background screening solutions and building trusted relationships with our clients. Accurate Background continues to exceed expectations by offering innovative background check and credentialing products.\nThe Lead AI Engineer will play a key role in establishing and scaling Accurate Background’s emerging AI capabilities as part of a new team focused on building reusable AI platforms, AI engineering standards, experimentation practices, and production-ready AI solutions.\nThis role will help define and operationalize an enterprise grade AI Center of Excellence, including AI governance practices, AI lab experimentation, reusable agent and tool patterns, and scalable AI solution architectures. The Lead AI Engineer will help transform the traditional SDLC into an AI Development Lifecycle (AI-DLC), materially changing how solutions are designed, built, evaluated, deployed, and continuously improved.\nThis role focuses on delivering AI-powered solutions that drive operational efficiency, improve experiences, and generate measurable business and revenue value. We offer a fun, fast-paced environment with significant opportunities for growth.\nResponsibilities\nDesign, build, test, deploy, and maintain AI-enabled solutions including AI agents, tools, and GenAI-powered applications\nEstablish foundational AI CoE standards, reusable patterns, and engineering guardrails.\nContribute to development of an AI lab for experimentation, prototyping, evaluation, and rapid iteration\nDefine and implement AI-DLC practices including experimentation, evaluation, governance, deployment, and monitoring\nBuild reusable and scalable AI platforms, services, APIs, and orchestration patterns\nIdentify and deliver AI use cases that drive operational efficiencies and business value\nApply GenAI patterns such as RAG, prompt engineering, agent orchestration, tool calling, and human-in-the-loop workflows\nDevelop AI agents, tool integrations, and orchestration workflows across enterprise systems\nWork with LLMs, SLMs, embeddings, vector search, and model APIs\nCreate technical designs, reusable frameworks, and implementation standards\nImplement secure, observable, and maintainable Python-based AI services\nEstablish and follow AI governance practices including responsible AI, data protection, and compliance\nSupport build, deployment, monitoring, and troubleshooting of AI applications\nDevelop evaluation frameworks, quality benchmarks, and feedback loops\nPartner with stakeholders to move AI ideas from concept through production and scale\nMentor engineers on AI engineering practices and AI-native development\nRequired Qualifications\nBachelor's degree in computer science or equivalent experience\n8+ years of cloud software engineering and/or AI engineering experience\n8+ years of programming experience in Python\nHands-on experience building AI-enabled applications, GenAI solutions, or AI agents.\nExperience with AWS and/or Azure, including AI-native PaaS cloud services (e.g., AWS Bedrock, AWS AgentCore, Azure AI Foundry, Azure OpenAI)\nStrong understanding of GenAI patterns:\nLLM/SLM model selection\nRetrieval-Augmented Generation (RAG)\nPrompt engineering and evaluation\nAgentic workflows\nTool/function calling\nEmbeddings and vector search\nHuman-in-the-loop systems\nAI observability and monitoring\nExperience with agent frameworks and orchestration tools (LangGraph, Semantic Kernel etc.)\nExperience with LLM ecosystems and providers (OpenAI, Anthropic, Llama, Mistral, etc.)\nExperience with vector databases and retrieval systems (Pinecone, Azure AI Search, etc.)\nExperience with tool/agent AG-UI, A2A, MCP interoperability protocols, registries, and reusable service layers\nExperience integrating APIs and enterprise systems into AI workflows\nSolid understanding of modern architecture patterns (microservices, APIs, event-driven systems)\nExperience working in Agile/Scrum environments\nUnderstanding AI governance, responsible AI, and compliance considerations\nAbility to translate business problems into AI solutions\nStrong analytical and problem-solving skills\nSelf-starter with strong collaboration and communication skills\nPreferred Qualifications\nExperience building or contributing to an AI Center of Excellence, AI platform, or AI innovation team.\nExperience defining or implementing an AI Development Lifecycle (AI-DLC).\nExperience implementing structured Context Engineering practices for improving model reliability and consistency\nExperience with observability and evaluation tools (OpenTelemetry, Datadog, CloudWatch, LangSmith etc.)\nExperience with CI/CD, containerization, and infrastructure automation\nExperience in regulated, compliance-driven environments\nExperience delivering AI solutions for operational automation, customer experience, or revenue-generating products\nFamiliarity with AI governance frameworks (e.g., ISO/IEC 42001, NIST AI RMF)\nAI Mindset\nBalance rapid experimentation with disciplined engineering practices\nDesign for scalability, reusability, and governance from the start\nFocus on measurable business outcomes and value creation\nEmbrace ambiguity and help define standards for emerging AI capabilities\nBuild systems with continuous evaluation, monitoring, and improvement\nApply responsible AI principles across all solutions\nWorking Conditions:\nThe company environment is dynamic and reflective of rapid growth\nFriendly, helpful, open, and all inclusive\nFast paced with frequent changes\nSits and works at desk computer-keyboard for extended periods of time\nWorks with others\nThe annual base salary for this position ranges from $121,000 - $185,000. Pay will vary depending on job-related knowledge, skills, experience, and relevant education and training.This position may also be eligible for an annual performance-based bonus, commission, or other variable pay plan. The Company also offers a full range of benefits, including medical, dental, and 401k. Your recruiter can share more details about the specific compensation package during the hiring process.\nThe Accurate Way:\nWe offer a fun, fast-paced environment, with lots of room for growth. We have an unwavering commitment to diversity, ensuring everyone has a complete sense of belonging here. To do this, we follow four guiding principles - Take Ownership, Be Open, Stay Curious, Work as One - core values that dictate what we stand for, and how we behave.\nTake ownership.\nBe accountable for your actions, your team, and the company. Accept responsibility willingly, especially when it’s what’s best for our customers. Give others every reason to trust you, believe in you, and count on you. Rise to every occasion with your personal best.\nBe open.\nBe open to new ideas. Be inclusive of people and ways of doing things. Make yourself accessible and approachable, and communicate with genuineness, transparency, honesty, and respect. Embrace differences.\nStay curious.\nStay curious even as you move forward. Tirelessly ask questions and challenge the status quo in your pursuit of new ideas, ways to solve problems, and to continually grow and improve.\nWork as one.\nWork together to create the best customer and workplace experience. Put our customers and employees first-before individual or departmental agendas. Make sure they get the help they need to succeed.\nEqual opportunities\nAccurate is an equal-opportunity employer and is committed to hiring talented and qualified individuals with diverse backgrounds. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.\nAccurate will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws.\nThis posting is open for U.S.-based candidates who currently reside in the following states: AZ, CA, CO, DE, FL, GA, IL, KY, MD, MI, MN, NV, NH, NY, NC, OH, OK, PA, TN, TX, VA, WA, WV\nSpecial Notice:\nAccurate is aware of schemes involving fraudulent job postings/offers and/or individuals or entities claiming to be employees of Accurate. Those involved are offering fabricated employment opportunities to applicants, often asking for sensitive personal and financial information. If you believe you have been contacted by anyone misrepresenting themselves as an employee of Accurate, please contact .\n- Please be advised that all legitimate correspondence from an Accurate employee will come from \"@accurate.com\" email accounts.\n- Accurate will not interview candidates via text or email. Our interviews are conducted by recruiters and leaders via the phone, Zoom/Teams or in an in-person format.\n- Accurate will never ask candidates to make any type of personal financial investment related to gaining employment with the Company.","description_format":"text","description_chars":9320,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Kentucky","iso":null,"kind":"city"},{"name":"Florida","iso":null,"kind":"city"},{"name":"Texas","iso":null,"kind":"city"},{"name":"Virginia","iso":null,"kind":"city"},{"name":"Michigan","iso":null,"kind":"city"},{"name":"Illinois","iso":null,"kind":"city"},{"name":"Pennsylvania","iso":null,"kind":"city"},{"name":"Maryland","iso":null,"kind":"city"},{"name":"Nevada","iso":null,"kind":"city"},{"name":"Oklahoma","iso":null,"kind":"city"},{"name":"Delaware","iso":null,"kind":"city"},{"name":"Minnesota","iso":null,"kind":"city"},{"name":"Washington","iso":null,"kind":"city"},{"name":"New York","iso":null,"kind":"city"},{"name":"North Carolina","iso":null,"kind":"city"},{"name":"Ohio","iso":null,"kind":"city"},{"name":"Colorado","iso":null,"kind":"city"},{"name":"West Virginia","iso":null,"kind":"city"},{"name":"New Hampshire","iso":null,"kind":"city"},{"name":"Georgia","iso":null,"kind":"city"},{"name":"California","iso":null,"kind":"city"},{"name":"Arizona","iso":null,"kind":"city"},{"name":"Tennessee","iso":null,"kind":"city"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Health Care","Fraud Detection","Marketplaces"],"lifecycle":[{"event":"open","at":"2026-10-01T04:13:06Z"}],"liveness":{"score":77,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":0.9,"age_days":17,"expected_fill_days":46,"reasons":["conf:1","win:mid"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":185000,"is_top_pay":false},"html_url":"https://alion.io/job/accurate-lead-ai-engineer","json_url":"https://alion.io/job/accurate-lead-ai-engineer.json","meta":{"generated_at":"2026-10-01T10:40:51Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1826,"day_limit":5000,"remaining_today":3174,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}