Salary
≈ $72k – $174k per year (Estimated)
Location
Hybrid (Turku, Finland)
Seniority
Staff · 5+ years exp
Employment
Full-Time
First seen by Alion on Oct 8, 2026.
Overview
Company
Impact
Profile match
Data-Driven, Future Ready. Empowering businesses with end-to-end big data, analytics, and protection solutions to unlock ideas and accelerate impact.
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 & ArchitectureOwn 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.
Cloud Engineering (GCP & BigQuery)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.
Python & API DevelopmentDesign, 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.
Generative AI & OpenAI IntegrationDesign 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.
Software Delivery & Engineering ExcellenceOversee 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.
Ensure alignment between technical delivery and business goals.
Must Have SkillsMandatory 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 SkillsExperience 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
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 & ArchitectureOwn 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.
Cloud Engineering (GCP & BigQuery)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.
Python & API DevelopmentDesign, 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.
Generative AI & OpenAI IntegrationDesign 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.
Software Delivery & Engineering ExcellenceOversee 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.
Ensure alignment between technical delivery and business goals.
Must Have SkillsMandatory 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 SkillsExperience 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
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