{"id":2291376,"url":"https://alion.io/job/elitebrain-forward-deployed-engineer-u-s-government","title":"Forward Deployed Engineer – U.S. Government","company":{"id":673890,"name":"Elitebrain","domain":"elitebrain.com","url":"https://alion.io/company/elitebrain","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":null,"employment_type":"contractor","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Washington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Edge AI","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-10-11T18:01:39Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-15T02:01:55Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"CONFISA Staffing Services is conducting a confidential executive search on behalf of a U.S.-based technology company specializing in advanced Artificial Intelligence (AI), Large Language Models (LLMs), and mission-critical technology solutions.\nOur client develops and deploys cutting-edge AI systems designed to address complex operational challenges, including applications supporting U.S. Government, defense, intelligence, and national security missions.\nThe organization operates at the intersection of frontier AI research, software engineering, and real-world deployment, transforming advanced AI capabilities into secure, scalable, and reliable operational solutions.\nAs part of its continued growth, the company is seeking a highly skilled Forward Deployed Engineer - U.S. Government to develop, implement, and deploy advanced AI systems while collaborating directly with strategic government partners.\nThis opportunity is managed by CONFISA Staffing Services on behalf of our client. Additional company information will be shared with qualified candidates during the recruitment process.\nCONFISA Staffing Services is conducting a confidential search for a highly skilled Forward Deployed Engineer - U.S. Government on behalf of a technology company developing advanced Artificial Intelligence solutions for mission-critical environments.\nWe are seeking a hands-on engineer with strong expertise in Python, Large Language Models (LLMs), Agentic AI, Data Pipelines, and Distributed Systems who can design, build, deploy, and maintain sophisticated AI solutions supporting high-impact U.S. Government missions.\nThis position combines advanced software engineering, applied AI research, infrastructure development, and direct collaboration with government stakeholders.\nThe successful candidate will take ownership of complex technical initiatives, transforming mission requirements into secure, scalable, production-ready AI systems.\nThis is not a traditional software development or research-only position. We are looking for an engineer capable of working independently, solving ambiguous technical challenges, and deploying AI capabilities in demanding operational environments.\nKey Responsibilities\nAI Systems Development & Deployment\nDesign, develop, and deploy agentic AI systems supporting critical U.S. Government operations.\nBuild production-ready applications using Large Language Models (LLMs), multi-agent architectures, and advanced AI frameworks.\nDevelop Retrieval-Augmented Generation (RAG) workflows, tool-using AI agents, and human-in-the-loop systems.\nTranslate complex operational requirements into practical AI solutions.\nLead AI implementations from initial prototypes through production deployment.\nMachine Learning Infrastructure & Data Engineering\nDesign, build, and maintain scalable data pipelines supporting AI model development and improvement.\nDevelop infrastructure for model inference, experimentation, evaluation, and deployment.\nSupport model training workflows, data curation, and performance optimization.\nWork with distributed systems and scalable computing infrastructure.\nContribute to reinforcement learning workflows and simulation environments when applicable.\nGovernment Collaboration & Forward Deployment\nCollaborate directly with U.S. Government stakeholders and strategic partners to understand operational requirements.\nDeploy and integrate AI solutions within high-security, high-reliability environments.\nAdapt technical solutions to evolving mission requirements.\nProvide hands-on engineering expertise throughout implementation and deployment.\nEnsure technical solutions meet demanding reliability, security, and operational standards.\nTechnical Ownership & Continuous Improvement\nOwn technical systems throughout their complete lifecycle, including architecture, development, deployment, monitoring, and optimization.\nTroubleshoot complex infrastructure, software, and AI integration challenges.\nImprove system performance, scalability, security, and reliability.\nCollaborate with multidisciplinary engineering and research teams.\nIdentify opportunities to accelerate AI adoption and improve operational efficiency.\nWhat Makes This Opportunity Unique\nThis position offers the opportunity to work at the intersection of frontier AI technology, advanced engineering, and high-impact government applications.\nThe selected engineer will contribute directly to the development and deployment of sophisticated AI systems, working closely with technical teams and government partners to transform advanced AI capabilities into real-world operational solutions.\nImportant: Candidates must be willing to relocate to the Washington, D.C. metropolitan area and work in a hybrid, forward-deployed environment.\nAdditional details regarding the organization, specific projects, and government-related requirements will be shared with qualified candidates during the selection process.\n Required Qualifications\nStrong professional experience in software engineering, applied AI, machine learning infrastructure, or related technical disciplines.\nAdvanced proficiency in Python, including designing, developing, and deploying production-grade applications.\nHands-on experience working with Large Language Models (LLMs) and developing AI-powered applications.\nDemonstrated experience building Agentic AI systems, including autonomous agents, multi-agent architectures, tool-using agents, or Retrieval-Augmented Generation (RAG) workflows.\nExperience designing, developing, and maintaining data pipelines for machine learning, AI applications, or large-scale data processing.\nStrong understanding of distributed systems, scalable architectures, and production infrastructure.\nExperience developing or supporting machine learning infrastructure, including model inference, experimentation, evaluation, and deployment.\nProven ability to take technical ownership of projects from initial architecture and development through production deployment.\nAbility to independently solve complex technical problems and operate effectively in ambiguous, fast-paced environments.\nStrong communication skills and ability to collaborate directly with technical stakeholders, government partners, and multidisciplinary teams.\nComfortable working in high-security, high-reliability, and mission-critical environments.\nWillingness and ability to relocate to the Washington, D.C. metropolitan area and work in a hybrid, forward-deployed environment.\nPreferred Qualifications\nActive U.S. Government security clearance, or eligibility and willingness to obtain one.\nPrevious experience supporting U.S. Government, defense, intelligence, national security, or other mission-critical technology programs.\nExperience developing AI solutions for government agencies or highly regulated environments.\nFamiliarity with Reinforcement Learning (RL) workflows, simulation environments, or AI model evaluation frameworks.\nExperience building and deploying advanced LLM-based applications, including multi-agent systems and autonomous workflows.\nBackground in AI startups, defense technology companies, government contractors, or advanced research organizations.\nExperience working directly with customers or strategic partners in forward-deployed engineering roles.\nUnderstanding of secure software development, infrastructure reliability, and production AI system operations.\nAbility to translate complex operational requirements into scalable, secure, and production-ready technical solutions.\nExperience working in fast-moving startup environments, mission-critical government settings, or both.\nIdeal Candidate Profile\nThe ideal candidate is a highly capable, hands-on engineer who combines strong software engineering fundamentals with practical experience deploying advanced AI systems.\nWe are particularly interested in professionals who can:\nIndependently design, build, and deploy sophisticated AI applications using Python and LLM technologies.\nDevelop agentic AI systems that integrate models, external tools, enterprise data, and operational workflows.\nBuild and maintain reliable data pipelines and machine learning infrastructure.\nTake full ownership of complex engineering projects from concept to production.\nWork directly with government stakeholders to understand mission requirements and deliver effective technical solutions.\nOperate confidently in environments requiring high levels of security, reliability, adaptability, and technical independence.\nCandidates with demonstrated experience deploying AI solutions into real-world production environments will receive particular consideration.\n Compensation & Benefits\nOur client offers a competitive compensation package designed to attract highly skilled engineers working on advanced Artificial Intelligence systems and mission-critical government technology initiatives.\nCompensation:\nAnnual Base Salary: USD $150,000 - $250,000\nEquity compensation eligibility.\nPotential performance-based bonuses, depending on the role and company policies.\nBenefits:\nComprehensive employee benefits package.\nUp to 100% reimbursement of eligible health insurance premiums.\nPaid Time Off (PTO).\n401(k) retirement savings plan with company matching contributions.\nAdditional benefits supporting professional development and employee well-being.\nCompensation will depend on the candidate's qualifications, relevant experience, technical expertise, and applicable company policies.\nWork Location & Relocation\nThis position requires candidates to be based in, or willing to relocate to, the Washington, D.C. metropolitan area.\nAlthough the organization supports a remote-first work environment, this particular role involves hybrid and forward-deployed responsibilities, including direct collaboration with government partners.\nCandidates must be comfortable working in environments where onsite presence may be required based on operational and project needs.\nSecurity Clearance\nAn active U.S. Government security clearance is preferred but not explicitly required at the initial application stage.\nCandidates should be eligible and willing to obtain a security clearance if required for their assigned projects.\nSpecific security requirements will be discussed with qualified candidates during the recruitment process.\nRecruitment Process\nThis search is being conducted by CONFISA Staffing Services on behalf of our client.\nQualified candidates may be invited to participate in:\nInitial professional and technical screening.\nEvaluation of Python, LLM, Agentic AI, and infrastructure engineering experience.\nTechnical interviews focused on AI system architecture, deployment, and problem-solving.\nDiscussions regarding government-related project experience, security requirements, and relocation availability.\nFinal interviews with the hiring organization.\nAdditional information regarding the company, specific responsibilities, and selection process will be provided to candidates advancing through the recruitment stages.\nEqual Employment Opportunity\nOur client is committed to providing equal employment opportunities. Employment decisions will be based on relevant qualifications, technical capabilities, professional experience, and applicable legal requirements.\nHow to Apply\nInterested candidates are encouraged to submit an updated resume in English, highlighting relevant experience in:\nPython software engineering.\nLarge Language Models (LLMs) and Agentic AI.\nData pipelines and distributed systems.\nProduction AI infrastructure and deployment.\nGovernment, defense, intelligence, or mission-critical technology projects, when applicable.\nPlease indicate your current location, willingness to relocate to the Washington, D.C. area, and whether you currently hold a U.S. Government security clearance.\nConfidentiality Notice: This recruitment process is managed by CONFISA Staffing Services. 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