09/04/2026 updated
100 % available
AI / Solutions Architect
Stockholm, Sweden
Germany +9
Master of Computer Science in Artificial Intelligence - Keele University, UKinfo: Germany, Austria, Switzerland, France, Belgium, Denmark, Ireland, Norway, Portugal, Sweden
AI AgentsCloud ComputingAzure AutomationGraphics Processing Unit (GPU)High Performance ComputingSlurmCloud MigrationTerraformAWS EKS
GenAI & LLM Architecture
Expertise in designing RAG and LLM solutions, including Model Context Protocol (MCP) integrations, agent/tool integration, enterprise data integration and guardrails for secure and auditable AI interfaces.
AI Governance & EU AI Act Compliance
Deep knowledge of EU AI Act risk classification, safety audits, red-teaming, bias/drift monitoring, human-in-the-loop controls and technical documentation practices for high-risk AI systems.
Cloud & Platform Engineering (AWS / Azure)
Extensive experience with AWS and Azure services, including Kubernetes, EKS, Terraform, CloudFormation and CI/CD pipelines, designing secure hybrid cloud architectures and scalable HPC platforms.
MLOps & AI/ML Platforms
Hands-on experience with Amazon SageMaker, AWS Batch, Spark, Jupyter and MLOps practices, including medical imaging AI, digital pathology and genomics/bioinformatics pipelines.
Data & HPC Storage
Proficiency with Weka, Dell EMC Isilon, FSx for Lustre, ParallelCluster, Slurm and IBM LSF for high-performance computing and secure AI training and inference data management.
Architecture Leadership & TOGAF Governance
Experience in C-level engagement, TOGAF-aligned governance, design authority, HLD/LLD, SOW and migration strategy to translate business outcomes into governed, scalable architectures.
Medical Imaging & Genomics ML Pipelines
Design and delivery of medical-imaging AI and digital-pathology ML pipelines, including feature extraction, annotation, classification and segmentation workflows supporting rare disease, cancer and COVID-19 analysis.
Infrastructure Automation & CI/CD
Implementation of CI/CD and infrastructure automation using GitHub, GitLab, AWS CodePipeline, Azure DevOps, Jenkins, Bitbucket, OpenShift, Prometheus, Grafana, CloudWatch and Terraform.
Hybrid Connectivity & Security
Architecting secure hybrid connectivity between on-premises data centres and cloud environments using VPN and Direct Connect, with cloud and cluster security guardrails and golden paths for Kubernetes and AWS.
Expertise in designing RAG and LLM solutions, including Model Context Protocol (MCP) integrations, agent/tool integration, enterprise data integration and guardrails for secure and auditable AI interfaces.
AI Governance & EU AI Act Compliance
Deep knowledge of EU AI Act risk classification, safety audits, red-teaming, bias/drift monitoring, human-in-the-loop controls and technical documentation practices for high-risk AI systems.
Cloud & Platform Engineering (AWS / Azure)
Extensive experience with AWS and Azure services, including Kubernetes, EKS, Terraform, CloudFormation and CI/CD pipelines, designing secure hybrid cloud architectures and scalable HPC platforms.
MLOps & AI/ML Platforms
Hands-on experience with Amazon SageMaker, AWS Batch, Spark, Jupyter and MLOps practices, including medical imaging AI, digital pathology and genomics/bioinformatics pipelines.
Data & HPC Storage
Proficiency with Weka, Dell EMC Isilon, FSx for Lustre, ParallelCluster, Slurm and IBM LSF for high-performance computing and secure AI training and inference data management.
Architecture Leadership & TOGAF Governance
Experience in C-level engagement, TOGAF-aligned governance, design authority, HLD/LLD, SOW and migration strategy to translate business outcomes into governed, scalable architectures.
Medical Imaging & Genomics ML Pipelines
Design and delivery of medical-imaging AI and digital-pathology ML pipelines, including feature extraction, annotation, classification and segmentation workflows supporting rare disease, cancer and COVID-19 analysis.
Infrastructure Automation & CI/CD
Implementation of CI/CD and infrastructure automation using GitHub, GitLab, AWS CodePipeline, Azure DevOps, Jenkins, Bitbucket, OpenShift, Prometheus, Grafana, CloudWatch and Terraform.
Hybrid Connectivity & Security
Architecting secure hybrid connectivity between on-premises data centres and cloud environments using VPN and Direct Connect, with cloud and cluster security guardrails and golden paths for Kubernetes and AWS.
Experience
Professional experience10+ years
Freelancer since2016
Languages
EnglishNative speakerPortugueseBasic knowledge
Project history
Designed and iterated RAG and LLM concepts including MCP interfaces connecting LLMs with enterprise tools, data stores and observability systems. Led AI safety and robustness activities including safety audits, red-teaming, adversarial testing, guardrails, bias/drift monitoring and incident remediation. Applied EU AI Act-aligned risk management, governance, transparency and human oversight practices. Designed cloud and cluster security guardrails and golden paths for Kubernetes and AWS environments. Architected secure hybrid connectivity between on-premises data centres and AWS using VPN and Direct Connect. Designed data integrity, replication and protection strategies across Weka, Dell EMC Isilon and AWS storage services. Designed CI/CD approaches across GitHub, GitLab, AWS CodePipeline and Azure DevOps, and contributed to TOGAF-aligned architecture governance.
Worked with bioinformaticians, LIMS teams and researchers using AWS services for COVID-19 variant, rare-disease and cancer-gene analysis. Designed medical-imaging AI and digital-pathology ML pipelines including feature extraction, annotation, classification and segmentation workflows using Amazon SageMaker. Defined logical application components, data flows, security controls, integration needs and migration paths from private-cloud services to AWS. Integrated and migrated MedTech and hybrid-cloud services on AWS across more than 1,000 AWS accounts and 50 Azure subscriptions. Mapped Weka and Dell EMC Isilon storage to AWS services for secure, low-latency AI/HPC data access. Ran genomics workloads on AWS using Spot and On-Demand instances with AWS Batch and Spark frameworks.
Designed migration and extraction solutions for data volumes up to 50 PB and supported clinician/researcher analytics using AWS EMR/Spark and Jupyter environments. Architected hybrid HPC solutions using WekaIO, Quantum storage, Amazon FSx for Lustre and on-premises LSF with cloud bursting across AWS regions. Used Nextflow/Cromwell with AWS Batch to schedule bioinformatics jobs across GPU and FPGA-based instances. Migrated workloads from on-premises infrastructure and OpenStack to AWS and designed container platforms using Kubernetes, ECS, Docker and EKS. Designed CI/CD, observability and infrastructure automation using Jenkins, GitHub, Bitbucket, OpenShift, Prometheus, Grafana, CloudWatch, Terraform and CloudFormation.