{"id":935393,"url":"https://alion.io/job/leidos-senior-aiml-engineer","title":"Senior AI/ML Engineer","company":{"id":7791,"name":"Leidos","domain":"leidos.com","url":"https://alion.io/company/leidos","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":84,"ghost_share":0,"stale_share":0.619,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-09-28T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Huntsville, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":107900,"max":195050,"currency":"USD","period":"year","gross":null,"usd_annual":195050},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"DPO","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Hugging Face","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"QLoRA","optional":false},{"name":"RLHF","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false},{"name":"AgentOps","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"MLFlow","optional":true},{"name":"PEFT","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-09-14T00:00:00Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-09-28T20:36:09Z","board_verified":true,"closed_at":null,"days_open":15,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":15},"description":"Looking for an opportunity to make an impact?\nAt Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.\nYour greatest work is ahead!\nLeidos’ Defense Systems, Advanced Sensors and Protective Technologies Portfolio is seeking a talented Senior AI/ML Engineer to integrate generative AI and agentic AI systems into existing software products. Working within a multidisciplinary team, this role spans the evaluation and integration of large language models (LLMs), vision-language models (VLMs), and multimodal LLMs (mLLMs), as well as the design and governance of agentic AI solutions.\nThe Advanced Sensors and Protective Technologies portfolio develops and evaluates EO/IR sensor systems and protective capabilities that enhance threat detection, survivability, and mission effectiveness. This includes safeguarding mission-critical systems through advanced microelectronic hardware assurance to ensure components remain trusted and secure. We advance sensor system technologies and hardware assurance through real-world testing, modeling and simulation, and performance analysis to support the transition of emerging capabilities into operational systems.\nIf this sounds like the kind of environment where you can thrive, keep reading!\nLeidos Defense Systems Sector provides a diverse portfolio of systems, solutions, and services covering land, sea, air, space, and cyberspace for customers worldwide. Solutions for Defense include enterprise and mission IT, large-scale intelligence systems, command and control, geospatial and data analytics, cybersecurity, logistics, training, and intelligence analysis and operations support. Our team is solving the world’s toughest security challenges for customers with “can’t fail” missions. To explore and learn more, click here!\nAre you ready to make an impact? Share your resume with us today!\nPrimary Responsibilities.\nLead the integration of LLMs, VLMs, and mLLMs into existing software products and platforms\nDesign and execute fine-tuning strategies for pretrained models (LoRA, QLoRA, RLHF/DPO)\nArchitect agentic AI solutions: agent/skill design, MCP tool/server integrations, and multi-agent orchestration workflows\nSet organizational standards for prompt engineering to optimize agent reasoning and output quality\nLead the development of test harnesses, evaluation suites, and red-teaming/adversarial testing for agentic systems prior to production release\nOwn end-to-end deployment and operations of agentic AI systems - CI/CD, monitoring, versioning and rollback, and lifecycle management\nCollaborate with software engineers, product owners, security, and data teams to align capabilities with product and compliance requirements\nPresent architectures and lifecycle strategies to technical leadership and stakeholders\nBasic Qualifications.\nMust be able and willing to obtain and maintain a DoD Secret Clearance (U.S. Citizenship required)\nBachelor’s degree in Computer Science, Data Science, Machine Learning, or related field and 8+ years of experience. \n5+ years of relevant experience working with AI/ML, including hands-on production integration of LLMs/VLMs\nProven track record managing agentic AI systems through a full lifecycle\nStrong experience with agentic frameworks and patterns (MCP, tool/function calling, etc.)\nFamiliarity with model documentation practices (model cards, versioned model registries) and AI governance requirements in regulated environments\nProficiency with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers)\nExperience with prompt engineering and evaluation methodologies for generative AI\nUnderstanding of deployment practices (containerization, APIs, CI/CD, versioning for ML/agentic systems)\nAbility to lead the development of technical solutions for AI/ML or agentic systems and mentor other team members\nStrong written and verbal communication skills\nPreferred Qualifications.\nActive DoD SECRET clearance or above.\nExperience applying mLLMs and VLMs\nExperience with MLOps/AgentOps tooling (MLflow, etc.)\nFamiliarity with vector databases and RAG architectures\nExperience fine-tuning transformer-based models\nExperience with cloud/government cloud environments (AWS, Azure, GovCloud, IL levels)\nExperience presenting technical strategies to leadership or customers\nIf you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.\nOriginal Posting:\nSeptember 14, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.\nPay Range:\nPay Range $107,900.00 - $195,050.00The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.","description_format":"text","description_chars":5699,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["National Security","C4ISR","Defense Manufacturing","Engineering Services"],"lifecycle":[{"event":"open","at":"2026-09-15T14:11:12Z"}],"liveness":{"score":49,"band":"ok","label":"Likely open","p_open":1,"p_active":0.547,"p_room":0.9,"age_days":14,"expected_fill_days":22,"reasons":["conf:5","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-09-28T05:45:00Z"},"pay":{"stated_usd_annual":195050,"is_top_pay":false},"html_url":"https://alion.io/job/leidos-senior-aiml-engineer","json_url":"https://alion.io/job/leidos-senior-aiml-engineer.json","meta":{"generated_at":"2026-09-29T00:15:22Z","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":203,"day_limit":5000,"remaining_today":4797,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}