AI Solutions Engineer

## Role highlights - AI Solutions Engineer - Location: Espoo, Finland - Department: Business Applications - Reports to: AI Platform Lead / Head of Business Applications - Employment type: Permanent - Workplace model: Hybrid / Office - Employment is subject to applicable security screening (incl.

SUPO, where required) ## Why this role matters The Business Applications team focuses on high-impact internal use cases to help the company grow, building internal solutions and facilitating new processes as we scale our data infrastructure, tooling, and operations. As an AI Solutions Engineer, you bridge the gap between rapid AI-assisted product delivery and scalable, governed platform engineering.

You will spend roughly 50% of your time taking high-value internal use cases from business needs to reliable, production-grade applications, and 50% of your time collaborating with the AI Platform Lead on our shared internal applications platform, DevOps workflows, and governance guardrails.

You think ahead: instead of solving problems with brittle one-off fixes, you turn recurring needs into clean, reusable platform capabilities and help guide our Junior AI Solutions Engineers to do the same. Who We AreICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.

ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.

ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.

Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. ## Build and ship internal applications & AI-enabled solutions (~50%) - Partner directly with stakeholders across the business to translate operational bottlenecks into clear technical designs and working, scalable applications. - Build, iterate on, and productionize full-stack internal applications and automations (primarily Python/FastAPI, TypeScript/React, and PostgreSQL) using modern AI-first coding workflows (Cursor, Claude Code) and LLM APIs where they add real value. - Design and maintain reliable, governed integrations with core enterprise systems and data sources (e.g., HiBob/HRIS, Salesforce, Databricks, Slack, Jira, Google Workspace, Okta). - Own the full lifecycle of the solutions you build.

All the way from rapid prototyping and stakeholder validation to production rollout, documentation, and long-term maintainability. ## Collaborate on the Internal Tools Platform, DevOps & governance (~50%) - Collaborate with the AI Platform Lead to develop, operate, and scale our AWS-based internal applications platform (ECS/Fargate, Aurora PostgreSQL, ALB/CloudFront, ECR, Secrets Manager, EventBridge) managed via Terraform. - Build for scale rather than one-offs: when an application needs a new integration pattern, infrastructure capability, or deployment workflow, design it as a reusable, self-service platform pattern that benefits the entire fleet of internal apps. - Maintain and improve GitHub Actions CI/CD pipelines (OIDC, automated security and IaC scanning, plan/apply workflows) and shared platform libraries (authentication, IAM database access, service-to-service communication). - Uphold strong governance, security-by-default, and auditability across the platform by ensuring strict access controls, clear audit trails for sensitive data access and write-backs, least-privilege IAM, and traceable change management. - Help triage and resolve platform-level operational issues, including deployment pipelines, container health, database migrations, network/egress rules, and observability/log forwarding (Splunk, CloudWatch). ## Elevate team engineering quality & unblock delivery - Act as a day-to-day technical sounding board and mentor for the Junior AI Solutions Engineers on the team by reviewing PRs, guiding data modeling and API design, and helping troubleshoot tricky deployment or integration issues. - Contribute to shared templates, runbooks, and architecture decision records (ADRs) so the team moves fast without accumulating technical or security debt. ## Must haves - 4–6 years of hands-on experience in software engineering, full-stack development, or platform/DevOps engineering, with a track record of shipping and operating production web applications end to end. - Systems and platform mindset: you naturally look past the immediate ticket to see how a solution will behave across 30+ apps in a year's time, and you strongly prefer reusable patterns, clean abstractions, and automation over ad-hoc, one-off workarounds. - Strong appreciation for governance, security, and auditability: comfortable working in an environment where data isolation, least-privilege access, approval gates, and verifiable audit trails are non-negotiable. - Strong proficiency in Python (e.g., FastAPI) and/or TypeScript/React , plus solid relational database skills ( PostgreSQL , schema isolation, migrations). - Practical Cloud & DevOps experience on AWS (e.g., ECS/Fargate or containers, IAM, networking/ALB, RDS/Aurora) and Infrastructure as Code (Terraform) . - Hands-on experience with CI/CD pipelines (GitHub Actions, Docker, automated testing and security checks) and AI-assisted engineering tools (Cursor, Claude Code) plus practical LLM API integration. - Pragmatic communicator: comfortable working directly with business stakeholders to scope ambiguous problems, while holding a high bar for engineering quality under the hood. ## Nice to haves - Experience integrating with enterprise systems and APIs such as HRIS/ATS (HiBob, Ashby), CRM (Salesforce), data platforms (Databricks), or Slack/GitHub Apps. - Hands-on familiarity with security and compliance controls in cloud environments (OIDC/OAuth2, IAM database authentication, KMS encryption, Checkov/IaC scanning, Splunk/audit logging). - Prior experience mentoring junior engineers and reviewing code/architecture on a fast-moving team. ## Application Process - Introductory call with TA - Hiring Manager Interview - Technical & Platform case interview - Skip level interview ## Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible.

As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. ## How We Work (Our Values) Make the impossible possible: We set ambitious goals and stay calm under pressure.

We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious : Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions.

Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun : What we do matters - and it should be enjoyable.

Celebrate progress, take pride in results, and share the wins. ## Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by