Technical Lead – GenAI & Cloud Engineering
Malmö GothenburgHelsinki +5 Full-time Senior AI Engineering
At a glance
Senior AI Engineering role at Datamatics Technologies. Malmö · full-time.
Pay not stated AI Engineering salary
RoleAI Engineering
SenioritySenior
LocationMalmö
EmploymentFull-time
PostedOct 9, 2026 · 13d ago
Also hiring inGothenburg, Helsinki, Karachi, Mumbai +3
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Set technical direction for complex projects, shaping their architecture and guiding engineering teams through key decisions
- Build cloud-native services on GCP and tune BigQuery workloads for analytics and data processing
- Develop Python backends and FastAPI REST APIs, connecting them to databases, cloud services and AI models
- Create GenAI applications with OpenAI APIs and other LLMs, including automated workflows for enterprise use
- Guide delivery from design through production support, covering reviews, testing, deployment and release practices
What you bring
- You speak and write Swedish fluently, a mandatory requirement for this role
- You bring hands-on experience with GCP, BigQuery, Python development and FastAPI-based REST APIs
- You have integrated OpenAI APIs and designed and built Generative AI solutions
- You have led development teams and made technical decisions
Who this fits
This senior technical leadership role suits someone who can combine hands-on backend, cloud and GenAI engineering with team guidance. You’ll work on-site in Stockholm three days each week, and applicants of any nationality may apply.
From the employer
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
- 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