Solution Architect (m/f/d)
We're looking for a Solution Architect with a strong GenAI focus to join our team in Germany. In this role, you will act as a trusted technical advisor for enterprise clients, shaping AI strategy, designing agent-based architectures and driving solutions from concept to production. You will collaborate with data scientists, solution architects and developers to deliver AI-driven solutions that align with client objectives.
Responsibilities
- Act as the primary technical point of contact for enterprise clients in AI consulting engagements
- Run discovery workshops and solutioning sessions to translate business problems into AI-driven architectures
- Design end-to-end solutions for GenAI applications, agentic systems, RAG pipelines and AI-augmented workflows
- Define integration patterns for LLM-based systems within enterprise landscapes such as ERP, CRM and data platforms
- Specify governance, observability and compliance frameworks for autonomous agents and AI systems
- Evaluate and recommend AI tooling and platforms including agent frameworks, orchestration tools, vector databases and SDLC automation
- Drive proof-of-concept development and guide clients on responsible AI practices including EU AI Act compliance
- Advise on AI strategy including build-vs-buy decisions, vendor evaluation and technology roadmapping
- Collaborate with cross-functional EPAM teams and mentor junior architects on AI-native design patterns
Requirements
- 5+ years of experience in solution architecture, technical consulting or senior engineering with direct client exposure
- Experience designing and delivering GenAI or ML-powered applications in production
- Strong understanding of LLM architectures, prompt engineering, RAG patterns and agent orchestration
- Cloud-native architecture experience on at least one major platform such as AWS, Azure or GCP
- Familiarity with AI governance including model evaluation, bias monitoring, audit trails and regulatory frameworks
- Ability to communicate complex technical concepts to both engineering teams and business leadership
- Fluency in English and German
Nice to have
- Experience in energy, utilities or industrial sectors
- Hands-on work with SDLC automation, AI-assisted code generation or autonomous delivery pipelines
- Knowledge of graph databases, ontology design or knowledge graph architectures
- Exposure to enterprise compliance frameworks such as SOC 2, GDPR or EU AI Act
- Background in pre-sales, RFI/RFP responses or client-facing technical proposals
