Data Technical Architect/Lead (Python) [J201]
Role details
Job location
Tech stack
Job description
- Lead the design and architecture of data systems and AI solutions.
- Oversee and coordinate a team of software engineers and data scientists.
- Implement and manage agent orchestration using the Agentic Framework.
- Explore and evaluate different system architectures for optimal performance.
- Contribute to ranking and reranking processes in AI models.
- Conduct performance analysis of Python within large-scale applications.
- Utilize tools such as LangGraph and CrewAI for system development and orchestration.
- Ensure the scalability, reliability, and efficiency of data-driven applications.
- Identify and implement AI spots for replacement to enhance automation and efficiency.
Requirements
Do you have experience in Python?, * Proven experience as a Data Architect, Tech Lead, or similar role.
- Strong proficiency in Python and experience with the Agentic Framework.
- Hands-on experience with LangGraph and CrewAI.
- Solid understanding of agent orchestration and AI model evaluation techniques.
- Background in building and deploying real-world applications.
- Strong software development foundation with a focus on scalable system design.
- Excellent leadership, communication, and project management skills., * Advanced degree in Computer Science, Data Science, or a related field.
- Experience in leading cross-functional teams and managing complex projects.
- Familiarity with emerging AI technologies and frameworks.
Opportunities:
- Be at the forefront of AI innovation by identifying and implementing AI replacements in existing workflows.
- Influence the strategic direction of AI and data initiatives within the organization., * IT: 7 years (Required)
- Python: 3 years (Required)
- Tech Lead / Data Architect: 3 years (Required)
Benefits & conditions
- Attractive salary
- Large freedom and real influence
- No unhealthy competition, team approach to meeting challenges
- Remote-first, flexible working culture
- Company apartments in cool cities across Europe: work and enjoy a memorable getaway