{"id":4319037,"url":"https://alion.io/job/stead-force-senior-ai-ml-engineer-architect-mwd","title":"Senior AI & ML Engineer / Architect (m/w/d)","company":{"id":2450923,"name":"Stead Force","domain":"steadforce.com","url":"https://alion.io/company/steadforce","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Personio","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-14T05:58:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Munich, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"CI/CD","optional":true},{"name":"Edge AI","optional":true},{"name":"Flink","optional":true},{"name":"Python","optional":true},{"name":"Scala","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"Terraform","optional":true},{"name":"Windows","optional":true}],"status":"live","first_seen_at":"2026-11-09T11:25:46Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-14T18:16:05Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Your mission\nWould you like to implement modern end-to-end machine learning and agentic AI projects while designing and further developing their architecture?Then join us in creating efficient machine learning and agentic AI solutions in an innovative cloud environment. Here, you’ll find an experienced team, cutting-edge technologies, and real opportunities to make a difference.\nAs a Senior AI & ML Engineer / Architect (m/f/d), you’ll be responsible for:\nDeveloping and operating end-to-end machine learning solutions from training through to production (MLOps)\nDeveloping and operating agentic AI solutions\nMonitoring and continuously improving existing system architectures for ML and agentic AI applications\nWorking closely with data scientists, data engineers, and software engineers\nProviding guidance on architectural decisions while considering various technologies such as Databricks, cloud environments, Kubernetes, and Apache Kafka\nProactively developing improvement proposals with a concept and timelin\nYour profile\nIdeally, you’ll have:A degree in computer science, data science, or a comparable qualification\nSeveral years of experience designing and implementing architectures for end-to-end machine learning and agentic AI solutions\nExtensive experience with Databricks (e.g., MLflow, Unity Catalog, Delta Lake, Genie Agents)\nExperience with Kubernetes and Apache Kafka\nPractical experience with Microsoft Azure Cloud; experience with AWS or GCP is a plus\nSolid programming skills in Python or Scala, with proficiency in SQL\nExperience with streaming applications (e.g., Flink, Spark Streaming) is a plus\nExperience with CI/CD and Infrastructure-as-Code (e.g., Terraform) is a plus\nExperience with Edge AI is a plus\nStructured, independent work style & team-oriented approach\nVery good German and English skills\nRemote work is possible; however, attendance at the Munich office is required on weekly team days\nYour benefits\nFair Compensation & Full Flexibility: Competitive salary, flexible work hours with a work-time account, and part-time options. You decide how much time you spend working in the office or remotely.\nExtras on top of your salary: A subsidy for the Deutschlandticket, an EGYM Wellpass, or an Edenred gift card, plus optional JobRad and Corporate Benefits.\nRetirement planning included: An annual contribution to the company pension plan and private accident insurance.\nProfessional development with a time budget: A fixed number of hours at the Steadforce “Campus” and in our “Center of Competence” for your professional growth, plus participation in conferences and summits.\nYour setup: You choose your device-whether a MacBook or ThinkPad-and your operating system-macOS, Linux, or Windows.\nWorkation: Work from another EU country from time to time while staying closely connected to your team.\nFamily-friendly: As an award-winning family-friendly company, we support you at every stage of life, for example through our Family Office.\nOffice in Westend: Modern office space with a gaming room, active office, and relaxation room-right next to the U4/U5. 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