Auvaria

Solutions Engineer

• Develop and implement scalable AWS architectures for data platforms and GenAI/Agentic AI solutions.
• Ensure security, performance, reliability, and cost efficiency in accordance with the AWS Well-Architected Framework.
• Make and document architectural decisions, including trade-offs.
• Translate business pain points into measurable technical requirements and clear objectives.
• Continuously improve existing standards.
• Contribute to technical pre-sales, project scoping, and the preparation of Statements of Work.
• Develop generative AI and agentic AI solutions on AWS Bedrock using Strands Agents and Bedrock AgentCore.
• Develop agent architectures featuring tool use, MCP-based integrations, multi-step orchestration, and clearly defined agent-scope boundaries.
• Implement human-in-the-loop patterns, approval steps, escalation logic, and automated review loops.
• Establish evaluation and quality assurance processes for LLM and agent systems.
• Advise customers on the pragmatic and responsible use of GenAI and agentic AI.
• Act as a trusted technical advisor and support technical workshops.
• Translate complex technology into clear business value.
• Mentor junior colleagues.
• Contribute to internal standards, best practices, and training programs.

Senior Solutions Architect – Data & AI Engineer, German-Speaking

• Develop and implement scalable AWS architectures for Data Platforms and Generative AI/Agentic AI solutions
• Ensure security, performance, reliability, and cost efficiency in accordance with the AWS Well-Architected Framework
• Make and document architectural decisions, including trade-offs
• Translate business pain points into measurable technical requirements and clear objectives
• Continuously improve existing standards
• Contribute to technical pre-sales, project scoping, and the creation of Statements of Work
• Develop Generative AI and Agentic AI solutions on AWS Bedrock
• Develop agent architectures with tool use, MCP-based integrations, and multi-step orchestration
• Implement human-in-the-loop patterns, approval steps, escalation logic, and review loops
• Establish evaluation and quality assurance processes for LLM and agent systems
• Advise customers on the pragmatic and responsible use of GenAI and Agentic AI
• Act as a trusted technical advisor
• Support pre-sales activities and technical workshops
• Translate complex technology into clear business value
• Mentor junior colleagues
• Contribute to internal standards, best practices, and training