{"id":1288468,"url":"https://alion.io/job/mantech-senior-ai-ml-engineer","title":"Senior AI ML Engineer","company":{"id":179527,"name":"ManTech","domain":"mantech.com","url":"https://alion.io/company/mantech","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":{"grade":"A","score":100,"open_postings":111,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-10-03T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ashburn, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":116400,"max":194900,"currency":"USD","period":"year","gross":null,"usd_annual":194900},"salary_estimate":null,"experience_years_min":13,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Feature Store","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Hallucination","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"Llama","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Milvus","optional":false},{"name":"Mistral","optional":false},{"name":"OpenSearch","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Qdrant","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tokenization","optional":false},{"name":"Tool Use","optional":false},{"name":"Weaviate","optional":false},{"name":"Human-in-the-Loop","optional":true},{"name":"Hybrid Search","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"Multimodal AI","optional":true},{"name":"Ollama","optional":true},{"name":"PEFT","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Reranking","optional":true},{"name":"TensorRT","optional":true},{"name":"TensorRT-LLM","optional":true}],"status":"live","first_seen_at":"2026-09-26T06:51:35Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-10-03T23:33:48Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Unlock the secrets of intelligence with MANTECH! Join a dynamic team at the forefront of national security, providing advanced solutions to government intelligence agencies. Since 1968, we’ve been solving the toughest challenges with groundbreaking tech. Explore thrilling projects in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Elevate your career and make a difference. Your adventure begins now-unleash your potential with MANTECH!\nMANTECH seeks a motivated, career and customer-oriented Senior AI ML Engineer. This is currently a hybrid position with two to three days onsite in Ashburn, VA.\nIn this role, you will collaborate within a cross-functional team to develop new Artificial Intelligence/Machine Learning (AI/ML) based solutions into operational pipelines to deliver mission impact for U.S. Customs and Border Protection (CBP). The ideal candidate will have deep expertise and experience with predictive modeling lifecycles, hands-on experience with machine learning tools and frameworks, and a pragmatic, customer-centric approach to applying ML models to solve complex problems.\nEach day CBP oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of solutions to aid officers in detecting threats while promoting efficient trade and travel.\nResponsibilities include but are not limited to:\nLead the integration and deployment of trained AI/ML models into production environments (e.g., cloud, edge devices) using MLOps best practices.\nDevelop and optimize model training & inference pipelines for real-time execution, and efficiently handle large-scale data processing.\nWork with data science teams to structure automated ML model health monitoring and refresh capabilities.\nImplement continuous integration, delivery and training (CI/CD/CT) workflows with commercial and open-source modeling platforms/services.\nCoordinate with Data Science and Engineering teams to build scalable feature stores for optimal model training & execution workflows. \nResearch, evaluate and recommend new tools, applications, software packages for MLOps engineering that can be adopted and approved for use in the CBP environment.\nCollaborate with cross-functional teams (e.g., Software Engineering, Data Science) to integrate and test multiple candidate AI/ML models and applications for operational assessment.\nRequired Qualifications:\nHS Diploma/GED and 15-20 years of experience, AS/AA and 13-18 years, BS/BA and 7+ years or MS/MA/MBA and 5+ years or PhD/Doctorate and 3+ years.\nHands-on experience with LLMs such as Gemini, Llama, Mistral, or other open-source and commercial models. Experience with LLM application frameworks such as LangChain, LlamaIndex, or equivalent custom frameworks. Ability to optimize LLM systems for latency, throughput, scalability, reliability, GPU utilization, and inference cost. Experience deploying machine learning or LLM services in AWS, Azure, or Google Cloud. Demonstrated experience designing and deploying LLM solutions, including the following: Retrieval-augmented generation (RAG)\nAgentic workflows and tool calling\nPrompt engineering and structured outputs\nModel fine-tuning, e.g. LoRA\nEmbedding-based search and semantic retrieval\n\nStrong understanding of transformer architectures, tokenization, embeddings, context windows, inference parameters, and common LLM failure modes. Experience evaluating LLM applications for accuracy, relevance, hallucination, safety, latency, and cost.\nExperience with vector databases or search technologies such as OpenSearch, Elasticsearch, Milvus, Qdrant, Pinecone, Weaviate, or pgvector.\nExperience designing and integrating RESTful APIs and microservices using frameworks such as FastAPI.\nWorking knowledge of SQL and experience with relational, document, or NoSQL databases.\nFamiliarity with Docker, Kubernetes, CI/CD pipelines, monitoring, logging, and production incident troubleshooting.'\nPreferred Qualifications\nMaster’s degree or Ph.D. in Computer Science, Machine Learning, Natural Language Processing, or a related discipline.\nExperience training, fine-tuning, quantizing, or serving open-source LLMs using tools such as PyTorch, Ollama, or TensorRT-LLM.\nUnderstanding of AI security risks, including prompt injection, data leakage, unsafe tool execution, model abuse, and adversarial inputs. Experience building multi-agent systems, multimodal applications, long-context workflows, or human-in-the-loop AI systems.\nKnowledge of advanced retrieval techniques, including hybrid search, reranking, query expansion, metadata filtering, and retrieval evaluation.\nExperience in LLM projects from initial requirements and proof of concept through production deployment and ongoing optimization.\nStrong knowledge of software engineering practices, including version control, code review, automated testing, system design, and technical documentation.\nClearance Requirements:\nMust be a U.S. Citizen and be able to obtain and maintain a CBP suitability prior to starting this position,\nMust be able to obtain and maintain a Top-Secret clearance.\nPhysical Requirements:\nThe person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, which may involve delivering presentations.\nThe projected compensation range for this position is $116,400.00-$194,900.00. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, MANTECH invests in its employees beyond just compensation. MANTECH’s benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.\nMANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.\nIf you need a reasonable accommodation to apply for a position with MANTECH, please email us at  and provide your name and contact information.","description_format":"text","description_chars":6640,"description_truncated":false,"requirements":{"experience_years_min":13,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"high_school","optional":true},"security_clearance":true,"languages":[]},"benefits":["Health insurance","Life insurance","Wellness"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Cybersecurity","Government"],"lifecycle":[{"event":"open","at":"2026-09-26T06:51:35Z"}],"visa":[],"liveness":{"score":43,"band":"fade","label":"Fading","p_open":1,"p_active":0.78,"p_room":0.55,"age_days":6,"expected_fill_days":6,"reasons":["conf:21","velocity","win:tail","comp:brand"],"computed_at":"2026-10-03T05:45:00Z"},"pay":{"stated_usd_annual":194900,"is_top_pay":false},"html_url":"https://alion.io/job/mantech-senior-ai-ml-engineer","json_url":"https://alion.io/job/mantech-senior-ai-ml-engineer.json","meta":{"generated_at":"2026-10-04T00:28:42Z","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":550,"day_limit":5000,"remaining_today":4450,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}