{"id":4279241,"url":"https://alion.io/job/fantom-corporation-ai-engineer-sme","title":"AI Engineer - SME","company":{"id":673180,"name":"Fantom Corporation","domain":"fantomcorp.com","url":"https://alion.io/company/fantomcorp","size_band":"51-200","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":75,"open_postings":21,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chantilly, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FastAPI","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"LanceDB","optional":false},{"name":"LLM","optional":false},{"name":"MLFlow","optional":false},{"name":"NER","optional":false},{"name":"NLP","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Temporal","optional":false},{"name":"TensorFlow","optional":false},{"name":"TypeScript","optional":false},{"name":"Vertex AI","optional":false},{"name":"Go","optional":true}],"status":"live","first_seen_at":"2026-11-13T19:50:10Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T20:02:13Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Fantom Corporation is a mission-focused organization supporting critical programs across the defense and intelligence community. We partner with our customers to deliver high-impact technical solutions while fostering a culture built on trust, expertise, and long-term career growth.\nWe are seeking an AI Engineer to:\nBuild scalable, production-ready AI/ML/GenAI models, pipelines, and microservices.\nDevelop training, evaluation, and inference pipelines in Python using PyTorch, TensorFlow, or scikit learn.\nDeploy and manage models with MLOps, CI/CD, containerization, and monitoring frameworks.\nImplement vector databases, embeddings, LLM applications, agentic AI, and tool calling workflows.\nOptimize models for accuracy, latency, cost, and scalability across distributed environments.\nEnsure AI governance, documentation, ethical compliance, and secure posture alignment.\nProvide technical mentorship and drive cross-team engineering standardization.\nResponsibilities\n10+ years of specialized AI/ML engineering experience.\nAdvanced Python skills and strong understanding of algorithms, data structures, and distributed systems.\nHands-on experience deploying production GenAI/LLM systems, embeddings, and vector databases.\nProficiency with PyTorch, TensorFlow, scikit learn, and cloud platforms (AWS, Azure, or GCP).\nPractical experience with MLOps tools such as MLflow, Azure ML, or Vertex AI.\n Background in NLP, computer vision, or reinforcement learning.\nExperience working in agile engineering environments.\nUnique Skills / Technical Requirements\nIn-house custom developed application\nAdvanced AI, GenAI & Multi-Model EngineeringMulti-model and multi-modality orchestration (reasoning, perception, memory, toolexecution)\n\nTemporal, spatial, geographic, quantitative, and computer vision AI implementation\nNamed Entity Recognition (NER), contextual entity extraction, and resolution\nMulti-step retrieval and structured output generation\nComplex data parsing and streamlined ingestion\nDeep source citation and traceable analytic outputs\n\nData Architecture & ETLVector, graph, and multi database orchestration\nAutomated ETL pipeline creation, scheduling, and optimization\nAttribute Based Access Control (ABAC) at the data layer\nProvenance and end to end data lineage tracking\nSchema aligned ingestion and normalization of diverse structured and unstructured data\n\nEnterprise Infrastructure & CrossDomain SolutionsAir gapped, hybrid, and on premise operational environments\nContainer orchestration and distributed systems management (Kubernetes)\nLocally hosted GPU servers and hyperconverged nodes\nMultitenant CrossDomain Solutions (CDS)\n\nApplication Development & IntegrationUI, backend, and middleware engineering (TypeScript, React, Python, FastAPI, LanceDB, lance graph, PostgreSQL, Temporal.io, Docker, Kubernetes)\nIntegration of reasoning components, retrieval systems, databases, and AI / GenAI services\nUse of modern programming languages and frameworks\n\nRequired Qualifications\nMust possess an active Top Secret Clearance\n Must be willing and able to obtain a polygraph\nIn-house custom developed application\nAdvanced AI, GenAI & Multi-Model EngineeringMulti-model and multi-modality orchestration (reasoning, perception, memory, tool execution)\nTemporal, spatial, geographic, quantitative, and computer vision AI implementation\nNamed Entity Recognition (NER), contextual entity extraction, and resolution\nMulti-step retrieval and structured output generation\nComplex data parsing and streamlined ingestion\nDeep source citation and traceable analytic outputs\n\nData Architecture & ETLVector, graph, and multi database orchestration\nAutomated ETL pipeline creation, scheduling, and optimization\nAttribute Based Access Control (ABAC) at the data layer\nProvenance and end to end data lineage tracking\nSchema aligned ingestion and normalization of diverse structured and unstructureddata\n\nEnterprise Infrastructure & CrossDomain SolutionsAir gapped, hybrid, and on premise operational environments\nContainer orchestration and distributed systems management (Kubernetes)\nLocally hosted GPU servers and hyperconverged nodes\nMultitenant CrossDomain Solutions (CDS)\n\nApplication Development & IntegrationUI, backend, and middleware engineering (TypeScript, React, Python, FastAPI, LanceDB, lance graph, PostgreSQL, Temporal.io, Docker, Kubernetes)\nIntegration of reasoning components, retrieval systems, databases, and AI / GenAI services\nUse of modern programming languages and frameworks\n\nPreferred Qualifications\nExperience in federal, defense, or highly regulated environments.\nKnowledge of ethical AI, governance frameworks, and secure development practices.\nSkills in large-scale optimization, GPU acceleration, or distributed training.\nExperience building APIs, microservices, and automated ML 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