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Engineering: lead engineer

Frankfurt am Main
GRAYOAK
Lead Engineer
Inserat online seit: 13 Januar
Beschreibung

At GRAYOAK, you'll work in the Data & AI field, designing and implementing modern AI workflows and automation solutions based on Microsoft Azure. You'll translate business requirements into viable AI and workflow concepts and integrate them productively into existing data and process landscapes. In addition to hands-on implementation, you'll provide business leadership and technical responsibility for project teams, manage AI-related projects through all phases, and collaborate closely with data, cloud, and DevOps teams. The focus is on the conception and hands-on implementation of scalable AI workflows and automation solutions on Microsoft Azure – combined with professional leadership and technical project responsibility.
Professional leadership and technical management of employees and project teams in the field of AI Workflow & Automation with management responsibility in agile project settings
Hands-on implementation of AI and automation solutions, e.g.:

Azure Functions, Logic Apps, Data Factory
Integration into existing data and process landscapes
Management of AI-related customer projects including planning, coordination and quality assurance
Close collaboration with data, cloud, and DevOps teams
Assessment of feasibility, benefits, risks and scalability of AI use cases
At least 4-5 years of professional experience in the field of AI, data, cloud, automation or software-related projects.
Proven experience in the practical (hands-on) implementation of AI or automation solutions, ideally in cloud environments
Experience in the professional leadership, guidance, or technical management of employees or project teams
Experience in managing projects and in collaborating with clients and interdisciplinary teams
Very good German and good English skills, both spoken and written.
Completed studies in computer science, business informatics, data science, mathematics or a comparable technical or business-technical degree program.
Experience with Azure AI, Azure OpenAI, LLMs or Prompt Engineering
Knowledge of Python, APIs, or workflow automation
Experience in integrating AI solutions into existing data and process landscapes
Modern offices in central locations in Frankfurt am Main or Berlin, ideally connected and conveniently designed.
Take the opportunity to gain practical experience in exciting projects and further develop your skills.
Look forward to regular team events, after-work get-togethers, and networking opportunities to become part of our vibrant company culture.

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