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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI/ML Platform Engineer - **Company:** Vsg Business Solutions - **Location:** Plano, TX, United States - **Experience:** Expert - **Salary:** $86,800.0 - $165,200.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Bash Shell, Cloud Computing, Cloud Engineering, Computer Programming, DevOps, Groovy, Monitoring of Systems, Python (Programming Language), Machine Learning, Automation of Marketing, Site Reliability Engineering Practices, Cloud Services, Ansible, Tensorflow, Azure Machine Learning, Shell Script, Scripting, Pytorch, System Availability, Large Language Models, Grafana, Generative AI, Infrastructure as Code (IaC), Cloudformation, Scikit Learn, Kubernetes, Information Technology, Machine Learning Operations, Virtual Agents, Terraform, Splunk, Dynatrace, Docker - **Published:** June 23, 2026 - **Apply:** https://www.careerjet.com/jobad/us148d9f3358cc1992ebb084afd2115d07 ## About the Role * Bachelor's degree in Computer Science, Engineering, Information Technology, or related field * 7+ years of experience in Cloud Engineering, DevOps, Platform Engineering, or Infrastructure Engineering * Strong hands-on experience with AWS cloud services and infrastructure management * Expertise in Terraform and Infrastructure as Code (IaC) * 3+ years of experience with observability and monitoring tools such as Dynatrace, Grafana, and Splunk * Strong experience building and maintaining CI/CD pipelines * 2 3+ years of hands-on AI/ML engineering experience in production environments * Strong programming and automation skills using Python * Experience with scripting languages such as Bash, Shell Script, or Groovy * Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn * Experience implementing MLOps practices and AI-driven automation solutions * Strong understanding of cloud architecture, automation, monitoring, and operational excellence Preferred Qualifications * Experience with Generative AI, LLMs, Agentic AI, RAG, or AI-assisted development tools * Experience with Kubernetes, Docker, Ansible, or CloudFormation * Java development experience * Experience building AI-powered observability or operational automation platforms * Experience working in large-scale enterprise or financial services environments * Knowledge of SRE practices, incident management, and platform reliability engineering Required Technical Skills * AWS Cloud Services * Terraform * CI/CD Pipelines * DevOps & Platform Engineering * Python * AI/ML Engineering * MLOps * Dynatrace * Grafana * Splunk * Bash/Shell/Groovy ## Description * Design, develop, and manage AWS-based cloud infrastructure and platform services * Build and maintain Infrastructure as Code (IaC) solutions using Terraform * Develop AI/ML-powered automation solutions for infrastructure, operations, and platform engineering workflows * Implement and optimize CI/CD pipelines to support efficient software delivery and infrastructure deployments * Enhance observability and monitoring capabilities using Dynatrace, Grafana, Splunk, and related tools * Build intelligent automation for alert triage, incident response, root cause analysis, and operational workflows * Collaborate with DevOps, SRE, Engineering, Product, and Operations teams to identify automation opportunities and improve platform reliability * Develop and support MLOps processes including model deployment, monitoring, governance, and lifecycle management * Create automation scripts using Python, Bash, Shell, or Groovy * Support cloud modernization initiatives and platform transformation efforts ## Related Videos - [Building a Multi-Agent Orchestration Engine That Actually Follows the Rules](https://www.wearedevelopers.com/videos/100159-building-a-multi-agent-orchestration-engine-that-actually-follows-the-rules) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)