Data & AI Consultant (w/m/d)

Public Cloud Group

23h • Hybrid

About The Position

As a Data & AI Consultant in our Hyperscaler-agnostic Data & AI Area, you will be the strategic and shaping force to bring State-of-the-Art Machine Learning and Generative AI into real business applications for our clients. You are far more than a technical resource: you will accompany future-oriented AI initiatives as a trusted advisor from the initial creative vision to a stable, scalable architecture. In this role, you will use your expertise in modern cloud structures (AWS, Google Cloud, or Microsoft Azure) to skillfully orchestrate managed AI services such as Vertex AI, AWS Bedrock, or Azure AI Foundry. You will develop intelligent agentic workflows, integrate language models (LLMs), and build well-thought-out RAG architectures. Your goal is to combine technological innovations with excellent consulting and engineering excellence to create measurable added value and make our clients' business goals a reality.

Requirements

• Solid consulting experience: You have several years of experience in IT project business, during which you have intensively dealt with Machine Learning, AI, and modern data processing.
• Communication skills: You enjoy conveying complex AI concepts understandably and confidently guiding our clients in their strategic decisions.
• Proficiency in cloud environments: You are at home in at least one of the three major hyperscalers (AWS, Google Cloud, or Microsoft Azure) and know how to leverage their potential.
• Routine in Python & Frameworks: You are proficient in Python and bring practical experience with common ML/AI frameworks to our client projects.
• Practice with AI ecosystems: You have already actively worked with platforms like Vertex AI, AWS Bedrock, or Azure AI Foundry and implemented solutions within them.
• Enthusiasm for GenAI: You have hands-on experience with LLMs and Prompt Engineering and have already designed initial agentic workflows (e.g., via LangChain or LlamaIndex).
• Holistic architectural understanding: You understand the fundamentals of API development and cloud architectures to seamlessly and stably integrate AI models into existing client systems.
• Team spirit and drive: You convince with results orientation and the joy of collaborating with our diverse team of experts.

Nice To Haves

• Data Engineering fundamentals: Ideally, you have a solid foundation in SQL or modern data warehouses (e.g., BigQuery, Snowflake) to drive data preparation for your models independently.
• Specialized certifications: You have completed certifications in Machine Learning / AI in Google and Azure or are eager to obtain them with our support. Preferably, you have knowledge of AWS Bedrock.

Responsibilities

• Holistic support & consulting: As a technical trusted person, you will support our clients from the initial strategic ideation (PoC) to the successful productive rollout of their AI use cases.
• Shaping future-oriented AI solutions: You will be responsible for the design and conception of modern machine learning solutions to sustainably solve complex business challenges for our clients.
• Building intelligent GenAI structures: You will advise on innovative Generative AI solutions and RAG architectures and support the development of modern agentic tools directly with the client.
• Orchestration of modern cloud AI services: You will confidently use and connect the AI services of leading hyperscalers such as Google Vertex AI and Azure AI Foundry to fully exploit technological potential.
• Bridging to production (MLOps): You will not only develop ML models but also ensure their smooth integration into real production systems through professional consulting and engineering.
• Impulse provider for technological trends: You will keep an eye on the AI market, evaluate new technologies with curiosity, and actively develop our "Data & AI Area" through your impulses.

Benefits

• Flexibility: Work remotely within Germany, hybrid, or in one of our offices in Austria (Linz & Vienna).
• Workation: Up to 30 days of Workation per year.
• Time off: 25 days of vacation.
• Hardware choice: Mac, Windows, or Linux.
• Professional development: Training, labs, and certifications in AWS, Azure, Google & SAP.
• Feedback: Regular development and salary discussions.
• Diverse benefit program: Mobility package (e.g., ÖBB Vorteilscard, Klimaticket), Wellpass, Bike leasing, company pension plan, kindergarten subsidy, and more.
• Team spirit: Team events (alternative hackathons), summer party, or Christmas party.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed