AI Solutions Architect

Aether Biomedical; Deutschland; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Vacation days up to 26

Sick days up to 10

Health and life insurance (Luxmed)

MyBenefit platform with Multisport

Psychological support service

English language classes

Access to learning platforms (O’Reilly

LinkedIn Learning

Udemy

Internal training

Flexible workplace

Tech Skills Mentoring Program

Opportunities to develop as public/mit

Zusammenfassung

Aether Biomedical is seeking an AI Solutions Architect to bridge business needs with scalable AI implementations. You will lead discovery sessions, map requirements to capabilities, and design end-to-end solution roadmaps across GenAI, RAG, and automation.

You will advise on technologies, evaluate build-vs-buy options, and collaborate with engineering, product, and delivery teams while supporting pre-sales discussions and executive stakeholders. Flexible, hybrid work options available.

Qualifikationen

• Deep understanding of the AI/ML ecosystem including GenAI, LLMs, and AI agent frameworks.
• Experience designing RAG systems, vector DB integrations, and complex automation workflows.
• Ability to translate abstract business problems into scalable AI architectures.
• Experience with major cloud platforms (AWS, Azure, or GCP).
• Strong ability to articulate complex technical concepts to executives.

Aufgaben

• Lead technical discovery sessions and workshops to identify business goals, pain points, and technical constraints.
• Translate client requirements into detailed AI solution designs, implementation frameworks, and integration strategies.
• Recommend optimal AI technologies, LLMs, platforms, and tools based on specific use cases.
• Evaluate whether requirements should be addressed via existing platforms or through custom-developed AI solutions.
• Produce comprehensive technical documentation, solution proposals, and accurate effort estimates for delivery teams.
• Partner with engineering, product, and delivery teams to ensure the successful transition from design to implementation.
• Assist in pre-sales discussions and technical presentations to demonstrate the value of proposed AI architectures.
• Maintain expert-level knowledge of emerging trends in GenAI, RAG, vector databases, and automation.

Kenntnisse

AI architecture design

RAG systems design

Client communication

Roadmap planning

Build-vs-Buy assessments

Tools

AWS

Azure

GCP

Vector databases

LLM frameworks

Jobbeschreibung

Client

The client is a specialized technology consultancy and solutions provider focused on delivering advanced artificial intelligence and digital transformation services. They partner with diverse organizations to modernize their technical infrastructure and integrate cutting-edge AI capabilities into enterprise workflows.

Project overview

This project involves leading high-impact AI discovery and implementation initiatives. The goal is to assist clients in navigating the rapidly evolving Generative AI landscape by designing bespoke architectures—including RAG systems, AI agents, and automation workflows—that solve specific business challenges and drive operational efficiency.

Position overview

The AI Solutions Architect acts as the strategic link between complex business requirements and practical AI implementations. This role requires a blend of high-level consulting, technical architecture, and product thinking. The successful candidate will guide clients through the technical discovery phase, map business needs to existing or custom AI capabilities, and design scalable, end-to-end solution roadmaps.

Responsibilities

• Lead technical discovery sessions and workshops to identify business goals, pain points, and technical constraints.
• Translate client requirements into detailed AI solution designs, implementation frameworks, and integration strategies.
• Recommend optimal AI technologies, LLMs, platforms, and tools based on specific use cases.
• Evaluate whether requirements should be addressed via existing platforms or through custom-developed AI solutions.
• Produce comprehensive technical documentation, solution proposals, and accurate effort estimates for delivery teams.
• Partner with engineering, product, and delivery teams to ensure the successful transition from design to implementation.
• Assist in pre-sales discussions and technical presentations to demonstrate the value of proposed AI architectures.
• Maintain expert-level knowledge of emerging trends in GenAI, RAG, vector databases, and automation.

Requirements

• Deep understanding of the AI/ML ecosystem, including modern Generative AI capabilities, LLMs, and AI agent frameworks.
• Proven experience designing RAG systems, vector database integrations, and complex automation workflows.
• Demonstrated ability to translate abstract business problems into scalable, technical AI architectures.
• Exceptional ability to articulate complex technical concepts to non-technical stakeholders and executive leadership.
• Practical experience with major cloud platforms (AWS, Azure, or GCP).
• Strong capability in conducting build-vs-buy assessments and defining technical roadmaps.

Nice to have

• Background in pre-sales engineering or AI product strategy.
• Expertise in enterprise-grade software integrations and complex workflow automation.
• Experience leading formal AI discovery or design-thinking workshops.
• Previous professional experience in software engineering or general system architecture.

What We Offer

• Vacation days: Up to 26 business days per year.
• 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types
• Health and life insurance (Luxmed)
• MyBenefit platform with Multisport option
• Internal psychological support service
• English language classes from the first working day
• Access to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training
• Flexible workplace: work from the office, from home, or choose a hybrid option
• Tech Skills Mentoring Program
• Opportunities to develop as a public speaker, mentor, or technical interviewer
• Fully paid idle (bench) when not involved in a project
• Certification reimbursement (AWS, GCP, Microsoft, etc.)