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Temp Solutions Architect Jobs (NOW HIRING)

Windchill PLM Solution Architect

Houston, TX · On-site

$60.25 - $79.25/hr

... Temp-to-Hire. In addition, our industry expertise and knowledge within financial services ... Solution Delivery Methodology * Sound understanding of latest Windchill architecture, features ...

We're looking for a hands-on Architect who can seamlessly blend expertise in modern AI solutions (e ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

We're looking for a hands-on Architect who can seamlessly blend expertise in modern AI solutions (e ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

WI · On-site

$100 - $125/hr

Nous recherchons un Hands-on Application & Solution Architect expérimenté pour accompagner les ... La mission s'étendra sur 4 mois, à temps partiel (60%). Elle couvrira deux objectifs principaux

AEM Architect

Baltimore, MD · Remote

$85 - $90/hr

Ensure solution performance, scalability, security, and maintainability. Collaborate with DevOps ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

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How much do temp solutions architect jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for temp solutions architect in the United States is $70.17, according to ZipRecruiter salary data. Most workers in this role earn between $60.58 and $79.81 per hour, depending on experience, location, and employer.

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Infographic showing various Temp Solutions Architect job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $145,963 per year, or $70.2 per hour.

Solutions Architect - AI Inference Specialist

San Francisco, CA • On-site

$74.25 - $97.75/hr

Full-time

Re-posted 19 days ago


Job description

About the job
FriendliAI is seeking a Solution Architect to assist enterprises in deploying, scaling, and operating generative and agentic AI workloads on FriendliAI infrastructure. You will work directly with customers to solve and implement production-grade applications using our products, such as Serverless Endpoints, Dedicated Endpoints, or Container.
Friendli Container is our service that allows customers to download our inference engine as Docker images and deploy it in their chosen environment, such as private clouds or on-premises. Our Friendli Container can be adopted directly to AWS EKS clusters using our EKS add-on product.
You will work directly on our customers' projects, collaborating with their engineering teams to solve AI inference challenges like scaling, orchestration, and monitoring. This is a hands-on, customer-embedded role. If you have worked in DevOps, platform engineering, or SRE for AI applications, this is your ideal position.
Key Responsibilities
  • Design and implement large-scale deployment architectures for LLM and multimodal inference
  • Deploy and manage containerized workloads across Kubernetes clusters
  • Diagnose production issues, such as performance bottlenecks, and implement temporary fixes as needed
  • Collaborate with customers' DevOps teams to integrate FriendliAI's infrastructure into their CI/CD workflows
  • Develop scripts, Helm charts, and Terraform modules that simplify repeated deployments
  • Contribute field insights to shape our platform reliability, observability, and scaling strategies
  • Lead workshops, technical sessions, or webinars to help customers master infrastructure best practices.

Qualifications
  • 3+ years of experience in cloud infrastructure, DevOps, or reliability engineering
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent
  • Proficiency with Kubernetes, Docker, Terraform, and Helm
  • Strong foundation in distributed systems, networking, and performance tuning
  • Experience with GPU-based computing and generative AI model serving workloads
  • Strong technical background in backend systems or AI tooling
  • Experience operating workloads on AWS, GCP, or OCI
  • Excellent problem-solving and debugging skills in real-world environments

Preferred Experience
  • Experience deploying large models (LLMs, diffusion models) on GPUs or clusters
  • Familiarity with inference frameworks (Triton, vLLM, TensorRT, DeepSpeed-Inference)
  • Familiarity with observability stacks (Prometheus, Grafana, Loki, ELK, OTEL)
  • Understanding of networking security and compliance frameworks (e.g., SOC 2)
  • Experience supporting on-prem or hybrid-cloud deployments

Benefits
  • A front-row seat to the generative AI infrastructure revolution
  • Competitive compensation and benefits package
  • Daily lunch and dinner provided; unlimited snacks and beverages
  • Health check-up and top-tier hardware support
  • Flexible working hours and a highly collaborative environment

About us
FriendliAI is building the next-generation AI inference platform that accelerates the deployment of large language and multimodal models with unmatched performance and efficiency. Our infrastructure powers high-throughput, low-latency workloads for global organizations and integrates directly with Hugging Face, providing instant access to over 600,000 open-source models. We are on a mission to deliver the world's best platform for AI inference.