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AWS Cloud Architect - AI/ML Solutions
Job in
Denver, Denver County, Colorado, 80265, USA
Listed on 2026-06-03
Listing for:
3B Staffing
Full Time
position Listed on 2026-06-03
Job specializations:
-
IT/Tech
AI Engineer, Cloud Computing, Systems Engineer, Data Engineer
Job Description & How to Apply Below
Location: Denver, CO (Hybrid - Local Candidates Only) no relocation
Duration: Long-Term Contract
GC, USC
Client: Direct Client (Telecommunications Domain)
AWS (EC2, S3, Lambda, Sage Maker, Bedrock, Neptune), AI/ML solutions, cloud architecture, telecom domain, Dev Ops/CI-CD, agentic AI frameworks, and strong problem-solving & leadership skills.
Key Responsibilities:
- Design and implement scalable cloud architectures on AWS for AI/ML use cases
- Build and deploy AI/ML solutions using services like Sage Maker and Amazon Bedrock
- Architect data pipelines and integrate AI capabilities into telecom platforms
- Leverage AWS services such as EC2, S3, Lambda, Neptune, and Cloud Formation
- Develop and optimize agentic AI frameworks and intelligent automation solutions
- Collaborate with cross-functional teams to align architecture with business needs
- Ensure high availability, performance, security, and scalability of cloud solutions
- Support Dev Ops practices including CI/CD, automation, and infrastructure-as-code
- Bachelor's or Master's degree in Computer Science, IT, or related field
- 8+ years of experience in cloud architecture with strong AWS expertise
- Hands-on experience implementing AI/ML solutions in enterprise environments
- Strong knowledge of AWS services (EC2, S3, Lambda, Sage Maker, Bedrock, Neptune)
- Experience with AI/ML frameworks and modern AI concepts (including agentic AI)
- Familiarity with telecom network technologies and protocols
- Strong analytical, problem-solving, and communication skills
- AWS Certified Solutions Architect (Professional preferred)
- Experience with Dev Ops tools and CI/CD pipelines
- Knowledge of network automation frameworks
- Leadership experience and ability to guide technical teams
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