Jobs at Siili One Ltd

Build and deploy production-ready LLM and agentic AI solutions for strategic customers. Own projects end to end from pilot through production, including architecture, infrastructure, integrations, evaluation, governance, security, and compliance. Collaborate closely with customer teams, provide technical guidance, contribute to pre-sales, and develop reusable delivery patterns. Work hands-on across AI engineering, software development, cloud platforms, and enterprise AI implementation.

Design, build, and deploy production-grade AI solutions, including LLM-powered applications and agentic systems. Apply MLOps, cloud platforms, CI/CD, containers, monitoring, and data pipelines to ensure scalable, reliable model performance. Collaborate with data scientists and stakeholders to turn AI models into robust products, advise clients on AI capabilities, and stay current with emerging technologies. The role requires Finnish and English fluency and experience with modern AI frameworks, vector databases, and cloud environments.

Open application for professionals interested in future opportunities at Siili across AI, data, software, digital business transformation, and related technology areas. Applicants are encouraged to describe their expertise, career interests, customer challenges they want to solve, and how they hope to develop their AI capabilities. Applications are reviewed against current and upcoming hiring needs.

Lead customer-facing AI strategy and solution development, translating business needs into production-ready AI roadmaps, architectures, and engagements. Advise customers on AI value, LLM and agentic systems, cloud-native platforms, MLOps, and scalable data foundations. Collaborate with account teams and technical experts on presales, opportunity shaping, proposals, and delivery oversight. Contribute to AI offerings, community development, thought leadership, public speaking, and responsible AI adoption.

Designs and leads end-to-end AI architectures connecting data, models, platforms, and business processes. Guides teams in building secure, scalable, observable, and maintainable production AI systems, including LLM applications, RAG, agentic workflows, MLOps, data pipelines, and cloud platforms. Collaborates with stakeholders, data scientists, engineers, and platform teams while defining architectural standards, governance, security, and responsible AI practices. Provides technical consulting and communicates AI opportunities and limitations to clients.

Designs and builds data platforms and enterprise integrations that enable AI and agentic solutions in production. Responsibilities include data modeling, pipeline orchestration, APIs, event streams, middleware, cloud services, governance, security, compliance, monitoring, and reliability. The role combines hands-on engineering, architecture, solution design, customer consulting, and implementation across strategic client accounts.