{"id":1620488,"url":"https://alion.io/job/ara-senior-ai-systems-engineer","title":"Senior AI Systems Engineer","company":{"id":2028479,"name":"Applied Research Associates","domain":"ara.com","url":"https://alion.io/company/ara-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"UltiPro","truth_index":{"grade":"B","score":75,"open_postings":17,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-02T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Raleigh, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":137000,"max_usd":245000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":222},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Configuration Management","optional":false},{"name":"Git","optional":false},{"name":"HPC","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"vLLM","optional":false}],"status":"live","first_seen_at":"2026-09-25T21:00:19Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-03T01:01:54Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Essential Functions:\nLead the deployment, integration, and operational support of AI platforms, tools, and services, ensuring compatibility with existing systems and enterprise processes.\nDesign, implement, monitor, and optimize AI infrastructure, working with server, cloud, and platform engineering teams.\nOperationalize machine learning workflows and support AI-enabled applications from development through production deployment and sustainment.\nBuild and maintain CI/CD and MLOps pipelines for model packaging, testing, deployment, rollback, and lifecycle management.\nImplement infrastructure automation using scripting, Infrastructure as Code, and configuration management practices.\nProvide ongoing technical support, troubleshooting, root cause analysis, and documentation for AI platforms and user-facing AI services.\nMaintain observability across AI systems through logging, metrics, performance monitoring, alerting, and incident response practices.\nEnsure security, compliance, and governance requirements are met, including participation in audits, vulnerability management, and secure architecture reviews.\nAssess and implement system enhancements to improve performance, scalability, reliability, and cost efficiency.\nCollaborate across divisions to support diverse AI initiatives and align technical implementations with mission and business objectives.\nEvaluate emerging AI tools, frameworks, and infrastructure approaches for operational fit, supportability, and long-term value.\nDevelop and maintain technical documentation, runbooks, architecture diagrams, and operational procedures.\nExperience and Skills Required:\nBachelor’s degree in computer science, Engineering, Information Technology, or a related STEM field with 8-10 years of engineering experience. \n2+ years of experience supporting AI/ML platforms, MLOps workflows, model deployment, or AI-enabled infrastructure.\nStrong coding and automation skills in Python, Bash, or similar scripting languages.\nExperience with AI/ML frameworks and tooling such as PyTorch, Hugging Face, or similar ecosystems.\nProficiency with DevOps and MLOps practices, including CI/CD pipelines, Git-based workflows, containerization, and Kubernetes.\nExperience deploying AI/ML models or AI services into operational environments, including containerized, cloud, or high-performance computing environments.\nFamiliarity with security frameworks and compliance standards such as NIST and CMMC.\nFamiliarity with AI security functionality in enterprise environments including OAuth\nStrong communication skills and the ability to collaborate effectively across technical and non-technical teams. \nPreferred:\nAdvanced degree or certifications related to AI or machine learning.\nExperience integrating AI models into scientific workflows.\nFamiliarity with large language model (LLM) APIs and orchestration frameworks such as OpenAI, Hugging Face, LangGraph, or LangChain.\nExperience with model serving, inference optimization, or AI platform tools such as MLflow, Kubeflow, vLLM, or similar.\nExperience with simulations for scientific or engineering projects, particularly physical systems simulations.\nExperience with GPU-based systems or running AI models in HPC environments.\nExperience writing and deploying MCP Servers on Kubernetes\nDoD experience\nSecret Security Clearance - Active or Inactive\nEducation:\nBachelor’s degree in CS, Software Engineering or other IT-related field or equivalent experience\nREMOTE WORK NOTICE: This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be given to candidates located onsite in the Albuquerque, NM and Raleigh, NC area.","description_format":"text","description_chars":3657,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":true,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Design & Creative","Industrial Design","IT Help Desk & Service Desk"],"lifecycle":[{"event":"open","at":"2026-10-01T20:42:43Z"}],"liveness":{"score":58,"band":"ok","label":"Likely open","p_open":1,"p_active":0.581,"p_room":1,"age_days":6,"expected_fill_days":21,"reasons":["conf:9","stale_co","win:early"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/ara-senior-ai-systems-engineer","json_url":"https://alion.io/job/ara-senior-ai-systems-engineer.json","meta":{"generated_at":"2026-10-03T01:08:28Z","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":989,"day_limit":5000,"remaining_today":4011,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}