Lead AI Engineer

Driving forward the integration of advanced artificial intelligence within a complex operational landscape, the Lead AI Engineer will be instrumental in delivering scalable AI and agentic solutions that meet escalating business demands. At the heart of this role lies the challenge of transforming experimental AI concepts into reliable, production-grade applications, leveraging cloud platforms and AI toolsets to optimise service delivery and operational efficiency. The successful candidate will contribute significantly to bridging the gap between cutting-edge AI research and practical, real-world impact within a hybrid working environment based in Helsinki.

The purpose of this position is to lead the technical design, development and deployment of AI-driven systems, with a strong emphasis on practical application and ongoing optimisation. Using a hands-on coding background in languages such as Python, Java or Scala, the Lead AI Engineer will ensure AI solutions are robustly engineered to scale and perform in production settings. This involves close collaboration with stakeholders to align AI initiatives with broader business processes, particularly in domains such as supply chain, finance or sales, underpinning improved operational workflows or analytical capabilities.

Day-to-day responsibilities will include designing AI workflows and agent-based models, driving the adoption of cloud-native architectures, and integrating AI tools primarily through platforms such as Azure. Experience with Azure’s AI ecosystem is highly advantageous given the focus on leveraging cloud-specific functionalities to enhance solution delivery and management. Additionally, the Lead AI Engineer is expected to maintain an outgoing, consultative approach, working alongside cross-functional teams to identify opportunities where AI can add value, and supporting sales-minded initiatives that promote AI adoption internally or with external partners.

This role requires fluency in English, with a strong preference for candidates also fluent in Finnish, ensuring effective communication in a bilingual environment. The hybrid working model combines onsite collaboration in Helsinki with the flexibility of remote work, enabling a balanced approach to technical leadership and stakeholder engagement.

Candidates with a well-rounded technical portfolio complemented by certifications in AI and cloud platforms will find this role particularly rewarding. Exposure to multiple cloud environments, beyond Azure, including experience with cloud and AI governance frameworks, security practices surrounding agentic solutions, and familiarity with tools such as AgentOps, will enhance the ability to manage complex AI deployments securely and compliantly. Insight into manufacturing industry workflows will be beneficial, offering context that supports tailoring AI applications to specific operational challenges.

The ideal Lead AI Engineer will demonstrate a strong operational mindset, able to oversee the end-to-end lifecycle of AI initiatives—from ideation through to production and ongoing maintenance—while navigating the technical and regulatory nuances implicated in deploying agentic AI solutions. This position balances advanced technical development with strategic engagement, calling for an individual who thrives in environments where technology adoption directly correlates with business improvements.

Working within this capacity offers the chance to influence AI-enabled transformation, utilising generative AI alongside data engineering practices to enhance cloud-hosted services. The role’s focus on operational delivery underscores the importance of practical outcomes, making it a critical position for driving measurable benefits across the organisation’s information technology functions.

This is a permanent role based in Helsinki, combining the benefits of a hybrid location policy with the dynamic demands of a sector prioritising innovation and adaptability. The position sits firmly within the information technology and services industry, where digital transformation and AI adoption continue to shape competitive advantage and operational excellence.

Entre los requisitos fundamentales se incluyen:

- Proven programming expertise in Python, Java or Scala with production deployment experience in AI or agentic solutions
- Strong hands-on familiarity with at least one cloud platform and associated AI tools, with Azure experience as the highest priority
- A consultative, proactive approach with an ability to engage technically and commercially at multiple organisational levels
- Fluency in English is required; Finnish language skills are highly preferred
- Beneficial knowledge of business processes relevant to supply chain, finance or sales, and experience in manufacturing sector environments
- Understanding and application of AI governance, security principles around agent-based systems, and familiarity with AgentOps tooling
- Cloud and AI certifications or tangible evidence of continuous learning and accredited expertise across multiple platforms

By stepping into the Lead AI Engineer role, you will be positioned to shape the future of AI integration within complex business frameworks, working at the intersection of technology delivery and operational advancement in an environment driven by innovation.

This role is situated within the broader information technology field, encompassing the continual evolution of software, cloud, and AI services that underpin modern enterprise capabilities.