AI Solutions Engineer

O projekcie At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.

We 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.

In 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.

Sounds like your kind of challenge?

What you get in return

• Flexible cooperation model
• Hybrid work setup - remote days available depending on the client’s arrangements - 6 days a week from the office in Kraków
• Collaborative team culture - work alongside experienced professionals eager to share knowledge
• Continuous development - access to training platforms and growth opportunities
• Comprehensive benefits - including Interpolska Health Care, Multisport card, Warta Insurance, and more
• High quality equipment - laptop and essential software provided

Zakres obowiązków

• Lead 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.
• Design and implement secure integrations across operational ecosystems - monitoring, ITSM, knowledge bases, configuration sources - ensuring least‑privilege, proper audit and resilient error handling.
• Define measurable success indicators (MTTR reduction, alert‑noise reduction, adoption metrics, control quality) and instrument solutions to capture demonstrable impact.
• Build reusable, approved AI patterns (“paved roads”) covering data redaction, grounding and citation, evaluation, monitoring and runbook standards.
• Drive production governance - operational readiness, support model definition, dashboarding, incident playbooks, and rollback mechanisms for AI‑driven capabilities.
• Provide technical leadership on automation engineering practices, standardisation and compliance with service management controls.
• Participate in (or lead) production incident and problem management cycles to reduce recurrent failures.
• Communicate clearly with senior stakeholders, translating engineering delivery into measurable business and operational outcome.

Wymagania

• Proven software‑engineering background delivering production services and automation within operational environments.
• Hands‑on experience with observability and operational data (logs, metrics, traces, alerts) and using these insights to prioritise engineering‑driven improvements.
• Strong programming and scripting skills (Python preferred) with expertise in APIs, webhooks and event‑driven architecture.
• Demonstrated DevSecOps mindset, continuous integration and delivery practices delivering small, safe, frequent changes.
• Skilled at building production‑ready tooling with monitoring, audit trails and supportability built in.
• Experience navigating complex organisations, driving delivery across multiple teams and priorities.
• Practical Agile delivery knowledge (Scrum or Kanban) with excellent documentation and collaboration habits.
• Fluent English (oral and written).
• Experience implementing AI or GenAI solutions for operations, including retrieval‑augmented generation over KBs and runbooks, or incident and change‑risk assistants.
• Understanding of Responsible AI, e.g. human‑in‑the‑loop design, auditability, AI incident response.
• Demonstrated ability to publish engineering standards, reference implementations, and automation golden paths for organisation‑wide reuse.

Nice to Have

• Exposure to cloud environments (Azure, GCP, or AWS) and container orchestration (Kubernetes, Docker).
• Familiarity with observability stacks (Geneos, Grafana, Prometheus, Loki, Splunk).
• Experience with Python ML frameworks or APIs (OpenAI, Hugging Face, LangChain) in enterprise contexts.
• Knowledge of ITIL process integration and governance in AI service delivery.

Joining this project you’ll become part of Mindbox - a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.