
AI Forward Deployed Engineer
Siili Solutions16 days ago
Helsinki, FinlandSenior
Responsibilities
- Own delivery for 1–2 strategic customer accounts from AI pilot through production.
- Design, build, evaluate, and deploy LLM and agentic solutions with customer teams and consultants.
- Develop end-to-end AI solutions spanning application code, infrastructure, integrations, and technical architecture.
- Help customers address data quality, governance, security, compliance, and enterprise integration needs.
- Provide hands-on technical guidance, navigate evolving requirements, and translate business needs into concrete solutions.
- Contribute to pre-sales and turn successful delivery approaches into reusable patterns across the company.
- Help shape AI architectures, guide teams, and influence AI delivery across industries and clients.
Requirements
- At least 5 years of experience building and shipping AI/ML-based systems into production, including strong recent LLM solution experience.
- At least 5 years of AI or ML Engineering experience, or a similar full-stack engineering background.
- Strong understanding of LLM and agentic system architecture, frameworks, evaluation, and production deployment.
- Experience designing end-to-end AI solutions, including infrastructure, integrations, and technical architecture beyond application code.
- Experience with Azure, AWS, or GCP and modern AI services.
- Understanding of enterprise requirements including data quality, integrations, governance, security, and compliance.
- Strong client-facing and consulting skills, including ownership in complex customer situations and comfort navigating ambiguity.
- Excellent communication skills and fluency in English.
- Finnish or another Nordic language is an advantage.
Benefits
- Flexible hybrid work arrangement.
- Collaborative community with experienced AI, data, and software professionals, plus knowledge sharing, autonomy, and peer support.
- Mentoring, training, continuous learning, and hands-on access to technologies through partnerships with Microsoft, Databricks, Nvidia, and others.
- Well-being support, hobby clubs, and family-friendly services including daycare support for sick children.
- Company share option program.
- Mental well-being services including Focus Tiger, in-house coaching, and leadership training through the NeuroLeadership Institute.
Tech Stack
Categories
Forward Deployed