AI Lead embedding AI into daily workflows at Sei. Role emphasizes strategy for AI adoption in teams.
About the role
- AI Engineer designing, building, and deploying generative AI solutions for a global consulting firm. Working on enterprise-level AI adoption across various business domains in a hybrid environment.
Responsibilities
- Design, develop and deploy AI and generative AI (LLM-based) solutions from proof of concept to enterprise production
- Build and maintain scalable data pipelines and model deployment workflows
- Develop backend services and APIs for AI-driven applications (e.g., FastAPI, Flask)
- Implement CI/CD and MLOps practices to automate model training, testing and deployment
- Develop and integrate multi-agent and LLM-based systems into business workflows
- Ensure reliability, scalability, observability and compliance of deployed solutions
- Work closely with product owners, data scientists and architects to translate business needs into technical solutions
- Contribute to engineering best practices and support junior team members when needed
Requirements
- Degree in Computer Science or a related field
- Strong programming skills in Python (Java is also acceptable)
- Experience with backend frameworks (FastAPI, Flask, Django or similar)
- Hands-on experience with Docker and Kubernetes
- Experience with CI/CD and MLOps pipelines
- Cloud experience (Azure, AWS or Databricks)
- Experience with data processing, ETL pipelines and APIs
- Understanding of distributed systems and large-scale data platforms
- Strong English communication skills
- Proactive, problem-solving mindset and ownership attitude
- **Nice to have:**
- Experience with generative AI or LLM frameworks (e.g., LangChain, CrewAI)
- Familiarity with enterprise platforms such as SAP AI Core or SAP BTP
- Experience working in Agile environments (Scrum, SAFe) and tools like Jira
Benefits
- Opportunity to work on large-scale, real-world AI transformation projects
- Modern tech stack and exposure to cutting-edge AI technologies
- International, collaborative working environment
- Hybrid working model
- Continuous learning and professional development opportunities
- Competitive compensation package and standard corporate benefits
- Supportive team culture focused on quality and innovation
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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