AI Solution Architect / Senior AI Engineer

Quick Facts

• Role: AI Solution Architect / Senior AI Engineer

• Focus: Generative AI (GenAI) and agentic AI in Financial Services

• Work model: Full-time or part-time; hybrid options

Description

You will design, develop, and operate GenAI and agentic AI solutions and integrate them into cloud and platform environments. The role is hands-on, covering AI engineering plus backend/API and cloud/platform engineering, while defining technical best practices for secure, high-performance, and cost-efficient AI architectures across the SDLC. You will also support presales and proposal phases with solution architectures, technical concepts, demos, and storytelling.

Responsibilities

• Define and implement technical best practices for secure, performant, and cost-efficient AI architectures across the SDLC.

• Conceive, develop, and operate GenAI and agentic-AI solutions, integrating them into cloud and platform landscapes.

• Work hands-on on AI engineering, backend/API development, and cloud/platform engineering.

• Support presales and offer phases with solution architectures, technical concepts, demos, and storytelling.

Requirements

• Proven experience with GenAI technologies (LLM APIs, embeddings, RAG, prompt engineering, evaluation).

• Software engineering background with focus on backend, APIs, microservices, or distributed systems.

• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and modern DevOps stacks (CI/CD, IaC, containers, Kubernetes).

• LLMOps knowledge for production AI systems (deployment patterns, versioning, testing, monitoring) and understanding of security, scalability, and architecture design in regulated environments.

• Willingness to travel depending on project needs.

• Very good German and English skills.

Hard Skills / Technologies

• LLM APIs, Embeddings, RAG, Prompt Engineering, Evaluation

• Software Engineering, Backend, APIs, Microservices, Distributed Systems

• AWS, Azure, GCP, CI/CD, IaC, Containers, Kubernetes

• LLMOps, Deployment Patterns, Versioning, Testing, Monitoring

• Security, Scalability

Benefits

• Hybrid work options (office, home, or other Germany locations)

• Flexible working time models

• Leadership programs, learning offers, active communities

• Mobile working, job bike, mobility budget

• Training opportunities, international network

• Family support (pme), health offers, employee discounts