Technical Lead – GenAI & Cloud Engineering
- Hiring from
- Sweden
- Work type
- Hybrid
- Posted
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Location: Stockholm, Sweden
Work Arrangement: Hybrid (On-site 3 Days per Week)
Employment Type: Full-Time (FTE)
Experience Required: 5-10 Years
Language Requirement: Swedish (Mandatory), Any nationality can apply
We are seeking an experienced Technical Lead – GenAI & Cloud Engineering to lead the design, architecture, and delivery of cloud-native and AI-powered solutions. The ideal candidate will have strong hands-on expertise in GCP, BigQuery, Python, FastAPI, OpenAI API integration, and Generative AI technologies along with proven experience leading engineering teams and driving technical decisions.
This role requires a combination of technical leadership, solution architecture, backend engineering, cloud technologies, and AI integration experience to deliver scalable, secure, and high-performance enterprise solutions.
Key Responsibilities
Technical Leadership & Architecture
Must Have Skills
Work Arrangement: Hybrid (On-site 3 Days per Week)
Employment Type: Full-Time (FTE)
Experience Required: 5-10 Years
Language Requirement: Swedish (Mandatory), Any nationality can apply
We are seeking an experienced Technical Lead – GenAI & Cloud Engineering to lead the design, architecture, and delivery of cloud-native and AI-powered solutions. The ideal candidate will have strong hands-on expertise in GCP, BigQuery, Python, FastAPI, OpenAI API integration, and Generative AI technologies along with proven experience leading engineering teams and driving technical decisions.
This role requires a combination of technical leadership, solution architecture, backend engineering, cloud technologies, and AI integration experience to deliver scalable, secure, and high-performance enterprise solutions.
Key Responsibilities
Technical Leadership & Architecture
- Own the end-to-end technical architecture and solution design for complex projects.
- Lead and mentor engineering teams and provide technical guidance.
- Drive technical decision-making, technology selection, and implementation approaches.
- Conduct architecture reviews, code reviews, and technical assessments.
- Collaborate with business stakeholders, product owners, and cross-functional teams.
- Design and build cloud-native applications on Google Cloud Platform (GCP).
- Develop and optimize BigQuery solutions for analytics and data processing workloads.
- Integrate cloud services with applications, APIs, and data platforms.
- Implement cloud security, monitoring, access management, and deployment best practices.
- Optimize cloud performance, scalability, and resource utilization.
- Design, develop, and maintain backend applications using Python.
- Build and support RESTful APIs using FastAPI.
- Integrate backend services with databases, cloud services, external platforms, and AI models.
- Implement authentication, logging, testing, monitoring, and API documentation.
- Troubleshoot and optimize application performance.
- Design and implement AI-powered applications and Generative AI solutions.
- Integrate OpenAI APIs and other Large Language Models (LLMs) into enterprise applications.
- Develop AI-driven workflows and automation capabilities.
- Evaluate and implement appropriate AI integration patterns.
- Ensure AI solutions meet security, scalability, reliability, and performance requirements.
- Oversee the complete software development lifecycle from design to production support.
- Support version control, CI/CD, testing, deployment, and release management practices.
- Identify technical risks and provide mitigation strategies.
Must Have Skills
- Mandatory Swedish language proficiency (spoken and written)
- Hands-on experience with Google Cloud Platform (GCP)
- Hands-on experience with BigQuery
- Strong hands-on Python development experience
- Hands-on experience developing REST APIs using FastAPI
- Hands-on experience with OpenAI API integration
- Hands-on experience designing and implementing Generative AI solutions
- Experience leading development teams and driving technical decisions
Good to Have Skills
- Experience with Microservices Architecture
- Experience with Distributed Systems
- Experience with AI Agents and Workflow Automation
- Experience with Cloud Security and IAM
- Experience with CI/CD and DevOps Practices
- Experience with Automated Testing Frameworks
- Experience with Data Analytics and Data Platform Integrations
- Experience with Monitoring and Observability Tools
- Experience with Database Design and Optimization
- Experience conducting Code Reviews and enforcing Engineering Best Practices
- Experience defining Technical Roadmaps
- GCP Certifications
- AI / Generative AI Certifications
- Bachelor's Degree in Computer Science, Information Technology, or a related field
- Experience working in Hybrid and Distributed Teams