{"id":963138,"url":"https://alion.io/job/lmisolutions-enterprise-ai-lead","title":"Enterprise AI Lead","company":{"id":721749,"name":"LMI","domain":"lmisolutions.com","url":"https://alion.io/company/lmisolutions","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tysons, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":190000,"currency":"USD","period":"year","gross":null,"usd_annual":190000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Node JS","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"JavaScript","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"Semantic Kernel","optional":true},{"name":"Semantic Search","optional":true},{"name":"Semantic Search","optional":true}],"status":"live","first_seen_at":"2026-09-16T12:05:29Z","employer_posted_date":"2026-09-20","last_verified_at":"2026-10-12T12:37:52Z","board_verified":true,"closed_at":null,"days_open":26,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":26},"description":"Overview\nWe are looking for an Enterprise AI Lead to design, build, and scale AI capabilities across the organization. This is a hands-on leadership role focused on developing real systems-not just strategy- spanning AI platforms, data pipelines, and production-grade AI applications. You will operate at the intersection of AI platform engineering, data architecture, and solution delivery,leading by building and establishing the technical foundation for enterprise AI. This includes everything from LLM platforms and agent orchestration to MLOps, RAG pipelines, and AI-enabled applications. This role is ideal for someone with a platform engineering or infrastructure background who has moved into AI and wants to continue building-while also shaping strategy, standards, and long-term direction.\nLMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.\nLeveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.\nResponsibilities\nWhat You’ll Do\nDesign and build enterprise AI/LLM platforms, including model access layers, orchestration, prompt management, and evaluation capabilities\nDevelop and deploy AI agents and orchestration frameworks to automate workflows and enable intelligent system behavior\nArchitect and implement RAG pipelines and secure data integration patterns, connecting enterprise data to AI systems\nBuild and operate MLOps pipelines supporting model deployment, monitoring, evaluation, and lifecycle management\nDevelop production-grade AI-enabled applications and services, integrating AI into real operational workflows\nDefine and implement AI strategy and governance with a focus on practical, enforceable standards\nEstablish model assurance and risk management practices, including evaluation frameworks, guardrails, and observability\nBuild and maintain operational data pipelines to support AI and analytics workloads\nIntegrate AI capabilities into enterprise platforms, APIs, and business systems\nLead rapid AI prototyping and experimentation, turning emerging capabilities into deployable solutions\nBuild and evolve an AI enablement platform, including reusable services, implementation playbooks, guardrails, and a shared knowledge base, enabling teams to adopt AI capabilitiesconsistently and efficiently.\nEnable internal teams through reusable platform services, templates, and development patterns\nContribute to enterprise BI and analytics capabilities, integrating AI-driven insights into decisionmaking workflows\nQualifications\nRequired Qualifications\nStrong experience building and operating platforms or infrastructure systems, with a shift into AI/ML or data platforms\nHands-on experience developing and deploying AI/LLM-based systems in production\nExperience with LLMs, RAG architectures, embeddings, and agent-based systems\nExperience building or operating AI/LLM platforms, internal developer platforms, or shared services\nStrong experience with data engineering and pipeline development\nExperience with MLOps practices, including model lifecycle management, deployment, and monitoring\nProficiency in backend development (Python, Node.js, or similar) and API design\nExperience working in cloud environments (AWS, Azure, or GCP) with distributed systems\nStrong understanding of system design, scalability, and operational reliability\nFamiliarity with secure or regulated environments and data protection requirements\nAbility to operate both hands-on as a builder and strategically as a technical leader\nPreferred Qualifications\nBackground in platform engineering, DevSecOps, or infrastructure engineering\nExperience designing multi-tenant AI platforms or enterprise AI services\nFamiliarity with agent orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar\nExperience with vector databases and semantic search systems\nExperience implementing AI governance, guardrails, and model assurance practices\nFamiliarity with secure or regulated environments and data protection requirements\nExperience integrating AI into enterprise applications, workflows, or operational systems\nExperience supporting analytics platforms, data warehouses, or enterprise BI systems\nWhat Success Looks Like\nAI capabilities are delivered as real, production-grade systems, not prototypes or isolated demos\nTeams can leverage reusable AI platforms and services to build and deploy solutions quickly\nAI systems are observable, reliable, and governed, with clear evaluation and risk controls\nData pipelines and RAG architectures provide secure, high-quality inputs to AI systems\nAI adoption grows through usable tools, not mandates, driven by strong platform design\nNew AI capabilities move rapidly from prototype to production\nWhy This Role MattersMost organizations struggle to move AI beyond experimentation. The Enterprise AI Lead changes that bybuilding the platforms, pipelines, and applications that make AI usable in real operations.This role ensures that AI is not just a strategy, but a working capability embedded into systems,workflows, and decisions-delivered through strong engineering, practical architecture, and hands-onleadership.\nThe target salary range for this position is $150,000-$190,000.\nThe salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.\nApplicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.\nJob Locations\nUS-VA-Tysons","description_format":"text","description_chars":6515,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Military","LLM & Generative AI"],"lifecycle":[{"event":"open","at":"2026-09-16T12:05:29Z"}],"visa":[],"liveness":{"score":32,"band":"fade","label":"Fading","p_open":1,"p_active":0.707,"p_room":0.45,"age_days":25,"expected_fill_days":13,"reasons":["conf:1","velocity","win:tail","comp:brand"],"computed_at":"2026-10-12T06:55:09Z"},"pay":{"stated_usd_annual":190000,"is_top_pay":false},"html_url":"https://alion.io/job/lmisolutions-enterprise-ai-lead","json_url":"https://alion.io/job/lmisolutions-enterprise-ai-lead.json","meta":{"generated_at":"2026-10-12T15:31:11Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":24337,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":721749},"rest":"https://alion.io/mcp/rest/get_company?id=721749"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flmisolutions-enterprise-ai-lead"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Flmisolutions-enterprise-ai-lead"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Flmisolutions-enterprise-ai-lead"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/lmisolutions-enterprise-ai-lead\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flmisolutions-enterprise-ai-lead"}]}