{"id":1457297,"url":"https://alion.io/job/mindbox-ai-solutions-engineer","title":"AI Solutions Engineer","company":{"id":53456,"name":"Mindbox","domain":"mindboxgroup.com","url":"https://alion.io/company/mindbox","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Traffit","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"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":"Agile","optional":false},{"name":"AIOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"ITSM","optional":false},{"name":"Kanban","optional":false},{"name":"Least Privilege","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scrum","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Grafana","optional":true},{"name":"Hugging Face","optional":true},{"name":"ITIL","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"Loki","optional":true},{"name":"OpenAI","optional":true},{"name":"Prometheus","optional":true},{"name":"Splunk","optional":true}],"status":"live","first_seen_at":"2026-09-29T10:41:00Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-09-30T02:08:36Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"At Mindboxwe connect top IT talents with technology projects for leading enterprises across Europe.\nWe are looking for an experienced AI Solutions Engineer to design and deliver AI-enabled automation and AIOps capabilities across a global integration and infrastructure ecosystem.\nIn this position, you will build and operationalise AI-driven solutions that reduce manual effort, accelerate incident resolution, strengthen controls and enhance platform reliability. You will be part of a team driving innovation in operational intelligence, integrating AI safely with enterprise-grade observability, monitoring, and service-management toolchains.\nSounds like your kind of challenge?\nResponsibilities\nFlexible cooperation model \nHybrid work setup - remote days available depending on the client’s arrangements - 6 days a week from the office in Kraków\nCollaborative team culture - work alongside experienced professionals eager to share knowledge \nContinuous development - access to training platforms and growth opportunities \nComprehensive benefits - including Interpolska Health Care, Multisport card, Warta Insurance, and more \nHigh quality equipment - laptop and essential software provided \nRequirements\nLead engineering delivery for AIOps and automation use cases, such as:incident summarisation, alert correlation and routing suggestions, root-cause and change-risk assistants, communications and PIR-drafting tools, patch/vulnerability intelligence.\n\nDesign and implement secure integrations across operational ecosystems - monitoring, ITSM, knowledge bases, configuration sources - ensuring least-privilege, proper audit and resilient error handling.\nDefine measurable success indicators (MTTR reduction, alert-noise reduction, adoption metrics, control quality) and instrument solutions to capture demonstrable impact.\nBuild reusable, approved AI patterns (“paved roads”) covering data redaction, grounding and citation, evaluation, monitoring and runbook standards.\nDrive production governance - operational readiness, support model definition, dashboarding, incident playbooks, and rollback mechanisms for AI-driven capabilities.\nProvide technical leadership on automation engineering practices, standardisation and compliance with service management controls.\nParticipate in (or lead) production incident and problem management cycles to reduce recurrent failures.\nCommunicate clearly with senior stakeholders, translating engineering delivery into measurable business and operational outcome.\nNote:Detailed project information will be shared during the recruitment process.\nBenefits\nProven software-engineering background delivering production services and automation within operational environments.\nHands-on experience with observability and operational data (logs, metrics, traces, alerts) and using these insights to prioritise engineering-driven improvements.\nStrong programming and scripting skills (Python preferred) with expertise in APIs, webhooks and event-driven architecture.\nDemonstrated DevSecOps mindset, continuous integration and delivery practices delivering small, safe, frequent changes.\nSkilled at building production-ready tooling with monitoring, audit trails and supportability built in.\nExperience navigating complex organisations, driving delivery across multiple teams and priorities.\nPractical Agile delivery knowledge (Scrum or Kanban) with excellent documentation and collaboration habits.\nFluent English (oral and written).\nExperience implementing AI or GenAI solutions for operations, including retrieval-augmented generation over KBs and runbooks, or incident and change-risk assistants.\nUnderstanding of Responsible AI, e.g. human-in-the-loop design, auditability, AI incident response.\nDemonstrated ability to publish engineering standards, reference implementations, and automation golden paths for organisation-wide reuse.\nNice to Have\nExposure to cloud environments (Azure, GCP, or AWS) and container orchestration (Kubernetes, Docker).\nFamiliarity with observability stacks (Geneos, Grafana, Prometheus, Loki, Splunk).\nExperience with Python ML frameworks or APIs (OpenAI, Hugging Face, LangChain) in enterprise contexts.\nKnowledge of ITIL process integration and governance in AI service delivery.\nJoining this project you’llbecome part of Mindbox - a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’llback you up every step of the way, accelerate your development, and ensure your skills make a difference.","description_format":"text","description_chars":4522,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Growth opportunities","Hybrid work"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Loyalty Programs","Marketing Automation","Customer Data Platforms (CDP) & Reverse ETL"],"lifecycle":[{"event":"open","at":"2026-09-29T10:42:07Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":52,"reasons":["conf:0","win:early"],"computed_at":"2026-09-30T02:41:18Z"},"pay":null,"html_url":"https://alion.io/job/mindbox-ai-solutions-engineer","json_url":"https://alion.io/job/mindbox-ai-solutions-engineer.json","meta":{"generated_at":"2026-09-30T02:41:18Z","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":1891,"day_limit":5000,"remaining_today":3109,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}