Forward-Deployed Cloud AI Engineer

Colossus Technologies Group; Washington (District of Columbia, MD); On-site; USD 140,000 - 170,000; Full time

Job summary

Colossus Technologies Group is seeking a Forward Deployed Engineer to work directly with customers, translating needs into scalable cloud and AI solutions. You will deploy infrastructure on AWS and Kubernetes, build AI integrations, and own proofs of concept from discovery to production.

You will collaborate with product and engineering teams, deliver customer-driven enhancements, and occasionally travel to the Washington, D.C. area for meetings and technical sessions.

Qualifications

• Strong hands-on experience with AWS and Kubernetes in production environments.
• Experience building or deploying applications using AI technologies.
• Strong programming skills in Python, Go, TypeScript, or a similar language.
• Ability to explain technical concepts clearly and work directly with customers.
• Comfort navigating ambiguous requirements, solving problems independently, and owning delivery.

Responsibilities

• Work directly with customers to understand their needs and translate them into technical solutions.
• Build and deploy cloud infrastructure and applications using AWS and Kubernetes.
• Develop AI integrations and workflows using technologies such as LLMs, model APIs, and retrieval‑augmented generation (RAG).
• Own proofs of concept, troubleshoot deployment challenges, and guide solutions into production.
• Partner with product and engineering teams to turn customer feedback into product improvements.
• Travel occasionally to the Washington, D.C. area for customer meetings and technical working sessions.

Skills

AWS in prod

Kubernetes in prod

Python/Go/TS

Customer communication

Ownership & delivery

Tools

Terraform

CI/CD

Networking

Cloud security

Job description

Colossus Technologies Group is seeking a Forward Deployed Engineer to work directly with customers, translating needs into scalable cloud and AI solutions. You will deploy infrastructure on AWS and Kubernetes, build AI integrations, and own proofs of concept from discovery to production.

You will collaborate with product and engineering teams, deliver customer-driven enhancements, and occasionally travel to the Washington, D.C. area for meetings and technical sessions.