GenAI & Cloud Architect (AWS SA Professional). Build enterprise LLM platforms, AI agents & large-scale multi-cloud automation on AWS & GCP.
Aktualisiert am 05.06.2026
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 05.06.2026
Verfügbar zu: 100%
davon vor Ort: 20%
Amazon Web Services (AWS)
Generative AI (LLM)
Cloud Architecture
Google Cloud Platform (GCP)
Amazon Bedrock
AI Agents
LLMOps
Terraform
AWS CDK
Infrastructure as code
AWS Serverless
Multi Cloud Architecture
Google Vertex AI
BigQuery
Cloud Governance
CI/CD
AWS Bedrock AgentCore
MCP
Claude Code
Agent framework

Einsatzorte

Einsatzorte

Gütersloh (+500km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

1 Monat
2026-05 - heute

Production AI Agents on AWS

Founder & Principal Architect AWS (Bedrock / Lambda / Step Functions / DynamoDB) Python TypeScript ...
Founder & Principal Architect

Production AI Agents on AWS: Design, build and deploy autonomous AI agents (Bedrock, Lambda, Step Functions) that automate clients? day-to-day operations? reducing manual workload, cutting cost, and unlocking new revenue streams.

  • Founder of an AI & cloud consultancy. I help companies design and deploy production-grade AI agents and automations on AWS that take over repetitive day-to-day work.
  • AI agents on AWS: Build and deploy autonomous AI agents (Amazon Bedrock, Lambda, Step Functions) that automate operational workflows - saving clients time and cost, and in some cases opening new revenue streams.
  • End-to-end delivery: From use-case discovery and architecture through to secure, GDPR-compliant production deployment and handover.
  • Enterprise-grade by default: Bringing governance, security and cost control (FinOps) to AI projects of any size.
AWS (Bedrock / Lambda / Step Functions / DynamoDB) Python TypeScript Terraform AWS CDK
W2Automation
Germany / Remote
1 Jahr 9 Monate
2024-09 - 2026-05

Enterprise LLM Gateway

Cloud & AI Architect (External Consultant) AWS GCP Apigee ...
Cloud & AI Architect (External Consultant)
  • Enterprise LLM Gateway: Designed and built Siemens? central LLM Gateway on Google Apigee, connecting all major hyperscaler models behind unified authentication, deployed globally high-available. Processed 100k+ requests/day and drove $300k+ in tracked consumption within the first month of launch.
  • Multi-Cloud Account Provisioning: Built the provisioning & bootstrapping automation that rolled out 4,000+ AWS accounts and GCP projects (landing-zone bootstrap, CDK pre-deployments), orchestrated via Step Functions, CodeBuild, AWS CDK and Terraform.
  • Real-Time Cost & Token Metering (GCP): Engineered a live charging pipeline that meters per-request token usage in real time and persists it to BigQuery (partitioning, materialized views, clustering) via Cloud Run and Pub/Sub? enabling consumption-based billing across the global organization.
  • Governance & IaC: Automated governance and security workflows with EventBridge and Lambda, and migrated manual infrastructure to Terraform/CDK, significantly reducing deployment times and configuration drift.
AWS GCP Apigee Step Functions Lambda BigQuery Pub/Sub Cloud Run Terraform AWS CDK Python.
Siemens AG? Data & AI Cloud
Munich / Remote
1 Jahr 1 Monat
2022-01 - 2023-01

Developed automated ML pipelines

Data Engineer (Working Student) AWS Snowflake TensorFlow ...
Data Engineer (Working Student)

Developed automated ML pipelines for processing highly sensitive data using Python, Pandas, and Scikit-learn. Built a cloud cost monitoring tool for AWS and Snowflake data warehouses, increasing cost transparency for enterprise clients.

  • Sensitive-data detection (ML): Trained custom TensorFlow models to classify whether a database column contains sensitive data requiring masking -automating PII / data-protection workflows. Built and trained custom models well before the GenAI/ChatGPT era.
  • Automated ML pipelines: Developed automated machine-learning pipelines for processing highly sensitive data (Python, Pandas, Scikit-learn, TensorFlow).
  • Cloud cost transparency: Built cost-monitoring tooling and Snowflake cost dashboards for AWS and Snowflake data warehouses - an early foundation for the cloud/AI FinOps work I do today.

AWS Snowflake TensorFlow Python Pandas Scikit-learn SQL.
Saracus Consulting GmbH
Remote

Aus- und Weiterbildung

Aus- und Weiterbildung

3 Jahre 6 Monate
2020-10 - 2024-03

Informatik Studium

Bachelor of Science, Universität Bielefeld
Bachelor of Science
Universität Bielefeld

Major: Computer Science with focus on hardware optimized programming

Minor: Artificial intelligence and machine learining foundations

Position

Position

I design and build production-grade GenAI platforms and large-scale multi-cloud automation on AWS and GCP, bringing enterprise practices such as governance, security and cost control to AI projects of any size.

As an external consultant on the Data & AI Cloud of a DAX corporation, I built the central enterprise LLM Gateway, handling 100k+ requests per day and $300k+ consumption in the first month, as well as the automation behind 4,000+ AWS accounts and GCP projects.

  • Enterprise GenAI platforms & LLM gateways

  • Production AI agents & LLMOps

  • Multi-cloud landing zones & account automation on AWS & GCP

  • Cloud architecture, migration & Infrastructure as Code with Terraform, AWS CDK and Step Functions

  • Cloud & AI FinOps, cost and token governance

  • Multi-account governance & security

Remote, project-based or interim. Available short-term.

Kompetenzen

Kompetenzen

Top-Skills

Amazon Web Services (AWS) Generative AI (LLM) Cloud Architecture Google Cloud Platform (GCP) Amazon Bedrock AI Agents LLMOps Terraform AWS CDK Infrastructure as code AWS Serverless Multi Cloud Architecture Google Vertex AI BigQuery Cloud Governance CI/CD AWS Bedrock AgentCore MCP Claude Code Agent framework

Schwerpunkte

Cloud Architecture
Experte
Generative AI
Fortgeschritten

  • Expert-level cloud architecture across AWS and GCP. I design secure, highly available multi-account environments at enterprise scale, including the automation behind more than 4,000 AWS accounts and GCP projects, multi-cloud landing zones, and automated cross-account governance.
  • Deep expertise in serverless and event-driven architectures using AWS Lambda, Step Functions and ECS Fargate, as well as Infrastructure as Code with Terraform and AWS CDK. Strong focus on scalable, cost-optimized and globally deployed cloud platforms.
  • Certified AWS Solutions Architect ? Professional.
  • Expert-level GenAI infrastructure: production GenAI platforms & enterprise LLM gateways. Built a central LLM Gateway (Apigee) routing all major hyperscaler models behind unified auth (100k+ requests/day). Multi-provider model routing (Bedrock, Vertex AI, OpenAI), production AI agents, LLMOps, RAG, and real-time token metering / AI FinOps. Multi-provider GenAI since 2023.

Produkte / Standards / Erfahrungen / Methoden

Profile

GenAI Platform & Cloud Architect and AWS Solutions Architect Professional specializing in production GenAI platforms, AI agents, and large-scale multi-cloud automation on AWS & GCP. Built Siemens? central enterprise LLM Gateway (100k+ requests/day) and the multi-cloud provisioning automation behind 4,000+ accounts. I take GenAI from prototype to secure, governed and cost-tracked production.


TECHNICAL SKILLS

  • GenAI & AI: GenAI Platforms, LLM Gateways, Agentic AI / AI Agents, RAG, LLMOps, AI Governance, Prompt Engineering, LLM Integration (Bedrock, OpenAI, Vertex AI).
  • Cloud Platforms: AWS (Professional Level: Lambda, ECS, Step Functions, DynamoDB, Bedrock, IAM, S3, VPC), GCP(Apigee, Cloud Run, BigQuery, Pub/Sub, IAM, Vertex AI).
  • Infrastructure & DevOps: Terraform, AWS CDK, Docker, CI/CD (CodeBuild / GitHub Actions), Git, Multi-Account Landing Zones.

Programmiersprachen

Python
TypeScript
Next.js
Java
C
HPC context

Einsatzorte

Einsatzorte

Gütersloh (+500km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

1 Monat
2026-05 - heute

Production AI Agents on AWS

Founder & Principal Architect AWS (Bedrock / Lambda / Step Functions / DynamoDB) Python TypeScript ...
Founder & Principal Architect

Production AI Agents on AWS: Design, build and deploy autonomous AI agents (Bedrock, Lambda, Step Functions) that automate clients? day-to-day operations? reducing manual workload, cutting cost, and unlocking new revenue streams.

  • Founder of an AI & cloud consultancy. I help companies design and deploy production-grade AI agents and automations on AWS that take over repetitive day-to-day work.
  • AI agents on AWS: Build and deploy autonomous AI agents (Amazon Bedrock, Lambda, Step Functions) that automate operational workflows - saving clients time and cost, and in some cases opening new revenue streams.
  • End-to-end delivery: From use-case discovery and architecture through to secure, GDPR-compliant production deployment and handover.
  • Enterprise-grade by default: Bringing governance, security and cost control (FinOps) to AI projects of any size.
AWS (Bedrock / Lambda / Step Functions / DynamoDB) Python TypeScript Terraform AWS CDK
W2Automation
Germany / Remote
1 Jahr 9 Monate
2024-09 - 2026-05

Enterprise LLM Gateway

Cloud & AI Architect (External Consultant) AWS GCP Apigee ...
Cloud & AI Architect (External Consultant)
  • Enterprise LLM Gateway: Designed and built Siemens? central LLM Gateway on Google Apigee, connecting all major hyperscaler models behind unified authentication, deployed globally high-available. Processed 100k+ requests/day and drove $300k+ in tracked consumption within the first month of launch.
  • Multi-Cloud Account Provisioning: Built the provisioning & bootstrapping automation that rolled out 4,000+ AWS accounts and GCP projects (landing-zone bootstrap, CDK pre-deployments), orchestrated via Step Functions, CodeBuild, AWS CDK and Terraform.
  • Real-Time Cost & Token Metering (GCP): Engineered a live charging pipeline that meters per-request token usage in real time and persists it to BigQuery (partitioning, materialized views, clustering) via Cloud Run and Pub/Sub? enabling consumption-based billing across the global organization.
  • Governance & IaC: Automated governance and security workflows with EventBridge and Lambda, and migrated manual infrastructure to Terraform/CDK, significantly reducing deployment times and configuration drift.
AWS GCP Apigee Step Functions Lambda BigQuery Pub/Sub Cloud Run Terraform AWS CDK Python.
Siemens AG? Data & AI Cloud
Munich / Remote
1 Jahr 1 Monat
2022-01 - 2023-01

Developed automated ML pipelines

Data Engineer (Working Student) AWS Snowflake TensorFlow ...
Data Engineer (Working Student)

Developed automated ML pipelines for processing highly sensitive data using Python, Pandas, and Scikit-learn. Built a cloud cost monitoring tool for AWS and Snowflake data warehouses, increasing cost transparency for enterprise clients.

  • Sensitive-data detection (ML): Trained custom TensorFlow models to classify whether a database column contains sensitive data requiring masking -automating PII / data-protection workflows. Built and trained custom models well before the GenAI/ChatGPT era.
  • Automated ML pipelines: Developed automated machine-learning pipelines for processing highly sensitive data (Python, Pandas, Scikit-learn, TensorFlow).
  • Cloud cost transparency: Built cost-monitoring tooling and Snowflake cost dashboards for AWS and Snowflake data warehouses - an early foundation for the cloud/AI FinOps work I do today.

AWS Snowflake TensorFlow Python Pandas Scikit-learn SQL.
Saracus Consulting GmbH
Remote

Aus- und Weiterbildung

Aus- und Weiterbildung

3 Jahre 6 Monate
2020-10 - 2024-03

Informatik Studium

Bachelor of Science, Universität Bielefeld
Bachelor of Science
Universität Bielefeld

Major: Computer Science with focus on hardware optimized programming

Minor: Artificial intelligence and machine learining foundations

Position

Position

I design and build production-grade GenAI platforms and large-scale multi-cloud automation on AWS and GCP, bringing enterprise practices such as governance, security and cost control to AI projects of any size.

As an external consultant on the Data & AI Cloud of a DAX corporation, I built the central enterprise LLM Gateway, handling 100k+ requests per day and $300k+ consumption in the first month, as well as the automation behind 4,000+ AWS accounts and GCP projects.

  • Enterprise GenAI platforms & LLM gateways

  • Production AI agents & LLMOps

  • Multi-cloud landing zones & account automation on AWS & GCP

  • Cloud architecture, migration & Infrastructure as Code with Terraform, AWS CDK and Step Functions

  • Cloud & AI FinOps, cost and token governance

  • Multi-account governance & security

Remote, project-based or interim. Available short-term.

Kompetenzen

Kompetenzen

Top-Skills

Amazon Web Services (AWS) Generative AI (LLM) Cloud Architecture Google Cloud Platform (GCP) Amazon Bedrock AI Agents LLMOps Terraform AWS CDK Infrastructure as code AWS Serverless Multi Cloud Architecture Google Vertex AI BigQuery Cloud Governance CI/CD AWS Bedrock AgentCore MCP Claude Code Agent framework

Schwerpunkte

Cloud Architecture
Experte
Generative AI
Fortgeschritten

  • Expert-level cloud architecture across AWS and GCP. I design secure, highly available multi-account environments at enterprise scale, including the automation behind more than 4,000 AWS accounts and GCP projects, multi-cloud landing zones, and automated cross-account governance.
  • Deep expertise in serverless and event-driven architectures using AWS Lambda, Step Functions and ECS Fargate, as well as Infrastructure as Code with Terraform and AWS CDK. Strong focus on scalable, cost-optimized and globally deployed cloud platforms.
  • Certified AWS Solutions Architect ? Professional.
  • Expert-level GenAI infrastructure: production GenAI platforms & enterprise LLM gateways. Built a central LLM Gateway (Apigee) routing all major hyperscaler models behind unified auth (100k+ requests/day). Multi-provider model routing (Bedrock, Vertex AI, OpenAI), production AI agents, LLMOps, RAG, and real-time token metering / AI FinOps. Multi-provider GenAI since 2023.

Produkte / Standards / Erfahrungen / Methoden

Profile

GenAI Platform & Cloud Architect and AWS Solutions Architect Professional specializing in production GenAI platforms, AI agents, and large-scale multi-cloud automation on AWS & GCP. Built Siemens? central enterprise LLM Gateway (100k+ requests/day) and the multi-cloud provisioning automation behind 4,000+ accounts. I take GenAI from prototype to secure, governed and cost-tracked production.


TECHNICAL SKILLS

  • GenAI & AI: GenAI Platforms, LLM Gateways, Agentic AI / AI Agents, RAG, LLMOps, AI Governance, Prompt Engineering, LLM Integration (Bedrock, OpenAI, Vertex AI).
  • Cloud Platforms: AWS (Professional Level: Lambda, ECS, Step Functions, DynamoDB, Bedrock, IAM, S3, VPC), GCP(Apigee, Cloud Run, BigQuery, Pub/Sub, IAM, Vertex AI).
  • Infrastructure & DevOps: Terraform, AWS CDK, Docker, CI/CD (CodeBuild / GitHub Actions), Git, Multi-Account Landing Zones.

Programmiersprachen

Python
TypeScript
Next.js
Java
C
HPC context

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