
Principal AI/ML Architect
- Kista, Stockholm
- Permanent
- Heltid
- Lead architecture and development of AI/ML-enhanced Infor M3 solutions
- Partner with cross-functional teams to design, build, and maintain AI/ML-enabled systems
- Evolve and scale cloud-native AI/ML architectures to drive business innovation
- Champion talent transformation initiatives to build internal AI/ML capability
- Drive change management to align technical initiatives with strategic goals
- Represent AI/ML initiatives in internal and external discussions
- 10-15+ years in software, solution, or enterprise architecture with hands-on delivery of production-grade AI/ML systems
- Deep expertise in cloud architecture on at least one hyperscaler (AWS, Azure, GCP) with ability to design and optimize cloud-native AI workloads
- Proven MLOps and ML platform experience: data pipelines, model lifecycle (training, evaluation, deployment), CI/CD, and monitoring
- Working knowledge of Generative AI / LLMs: prompting, fine-tuning, and rapid prototyping
- Strong foundation in SaaS, multi-tenant architectures, microservices, and APIs-particularly around integrating AI into products and workflows
- Excellent communication skills: able to engage both executives (whiteboarding) and engineers (deep technical dives)
- Solid understanding of security, privacy, and compliance considerations in enterprise AI (e.g., data governance, model safety)
- Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent; advanced degrees or equivalent experience also considered
- Skilled at presenting complex technical topics at both abstract and implementation levels
- Experience with Agentic AI/orchestration frameworks (tool use, lifecycle, interoperability)
- Familiarity with LangChain, LLMOps tools, vector search/RAG, retrieval pipelines
- Knowledge of Responsible AI practices, including governance, risk, human-in-the-loop, and auditability in enterprise settings
- Consulting or industry solutions background, with ability to map domain needs to AI architectures
- Recognized technical leadership through publishing, mentoring, or internal standards contributions
- Relevant certifications (AWS/GCP/Azure, Snowflake/Databricks) or EA frameworks (TOGAF)
- Experience aligning AI/ML with enterprise roadmaps and platforms (e.g., SAP/RISE, Salesforce/Agentforce, ServiceNow)