Hands-on AI Solution Architect
- AI
Some AI challenges are about choosing the right model. Others require looking beyond it: at the systems, data, processes, and people involved. At Helmes, you’ll meet both – across many industries.
You’ll design production-grade AI solutions for enterprise clients and stay involved from discovery to production. You won’t own routine implementation or operations, but you’ll stay close enough to the technology to make sound decisions and help teams build solutions that work in practice.
Why Helmes?
- Variety: 500+ clients across industries such as logistics and supply chain, telecom, manufacturing, finance, and the public sector, each with its own business needs and technical challenges.
- Enterprise complexity, startup thinking: Work on large-scale projects in an environment that encourages curiosity, initiative, and fresh ideas.
- Real ownership: Make architectural decisions and shape how AI solutions are designed and implemented.
- Strong engineering environment: Collaborate with experienced architects, developers, analysts, and consultants, drawing on 35+ years of experience in complex software development.
What You’ll Do
- Assess business challenges, identify suitable AI use cases, and evaluate their feasibility with clients and internal teams
- Design end-to-end AI architectures: models, data flows, integrations, infrastructure, security and deployment
- Build prototypes and proofs of concept to test assumptions and reduce technical uncertainty
- Set the technical direction and principles that engineering teams use to build and run the solution
- Share knowledge and help shape how Helmes designs and delivers AI
You’ll work with clients long-term, collaborating with different teams and management – from engineers and analysts to business leaders.
What We’re Looking For
- Experience designing complex software or AI solutions – including AI that runs in production, not only in experiments
- Practical knowledge of LLMs, generative AI, RAG, agents or other AI approaches, with hands-on depth in at least one area
- Hands-on skills to explore technologies and build prototypes yourself
- Solid grasp of APIs, enterprise integrations, data architectures, structured and unstructured data, cloud and distributed systems
- Strong judgement on trade-offs: performance, scalability, cost, security and maintainability
You explain complex things simply, focus on what matters, and challenge assumptions – saying no when something isn’t reasonable
Nice to have
- IT consulting or direct work with enterprise clients
- Industry-specific AI solutions or complex business domains
- Cloud, on-premises or hybrid AI deployments
- Infrastructure as code, containers, CI/CD, MLOps / LLMOps
Mentoring engineers or supporting technical communities
Good to know
- Location: Baltics, Finland or Poland (Tallinn preferred)
- Onboarding: Your first months will include time with the team in Tallinn
If you want to design AI solutions and prove them with your own code – let’s talk!
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