{"id":3821622,"url":"https://alion.io/job/sophos-ai-automation-engineer","title":"AI & Automation Engineer","company":{"id":1926,"name":"Sophos","domain":"sophos.com","url":"https://alion.io/company/sophos","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":76,"open_postings":8,"ghost_share":0,"stale_share":0.75,"repost_share":0,"time_to_fill_p50_days":77,"computed_at":"2026-11-09T06:03:00Z"}},"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":["Romania"],"countries":["RO"],"hiring_countries":["RO"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"CI/CD","optional":false},{"name":"Least Privilege","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SIEM","optional":false},{"name":"Fine-tuning","optional":true},{"name":"MITRE ATT&CK","optional":true},{"name":"SQL","optional":true},{"name":"Windows","optional":true}],"status":"live","first_seen_at":"2026-10-29T15:51:58Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-09T06:35:41Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"Role Summary\nThe Senior AI Engineer leads technical design and delivery of AI automation across multiple Security Operations Center (SOC) workflows and services. You will remain hands-on while shaping technical approach, resolving ambiguous requirements, and building capabilities other engineers can reuse. You will partner across teams to improve investigation quality and response time and establish engineering standards.\nWhat You Will Do\nLead complex initiatives spanning diverse security services teams; resolve design tradeoffs and implement critical components using large language models (LLMs), agents, and retrieval pipelines.\nDefine reusable architecture for agents, retrieval-augmented generation (RAG), and tool integrations; choose deterministic or model-driven approaches based on evidence, risk, and cost.\nEstablish evaluation methods and release criteria across workflows, covering factual accuracy, reliability, false positives, and regressions against validated evidence.\nDesign consistent controls for least-privilege access, sensitive data, prompt injection, output validation, and analyst approval of high-impact response actions.\nLead SIEM, SOAR, XDR/EDR, threat intelligence, and case management integration design; address scale, API failures, and dependencies across services.\nImprove shared Python components, testing, CI/CD, observability, and rollback practices; lead design reviews and coach engineers on difficult implementation decisions.\nOwn reliability and measurable outcomes across related workflows, using investigation quality, analyst time saved, success rates, latency, and cost to guide improvements.\nShape priorities with Security Operations, Threat Research, Data Science, and DevOps; coordinate technical dependencies, resolve production issues, and document architecture and operating standards.\nWhat You Will Bring\nEssential\n7+ years building production software, including 2+ years with LLMs, agents, or applied ML; 1+ year in or alongside a SOC or security team.\nDeep Python and API engineering skills; experience evaluating providers such as OpenAI or Anthropic and open-source models for production use.\nA record of leading architecture and delivery across multiple workflows or services, with reusable designs adopted by other engineers.\nExperience setting AI evaluation and release criteria, diagnosing systemic failure modes, and balancing quality, security, latency, and cost.\nStrong security operations knowledge and experience designing secure integrations, evidence handling, and appropriate analyst oversight for automated response.\nExperience designing and operating distributed or event-driven cloud services, including testing, CI/CD, observability, resilience, and production of incident resolution.\nAbility to turn ambiguous needs into technical plans, influence decisions across teams, and coach senior engineers while remaining hands-on.\nNice to have\nExperience with SQL, Taegis, Sigma detection rules, or mapping detections to MITRE ATT&CK.\nExperience with vector databases, hybrid retrieval, model fine-tuning, or agent orchestration frameworks.\nBackground in incident response, network traffic analysis, or Windows event log analysis.\nExperience with containerized or event-driven services, or 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