Senior GenAI Solutions Architect

Cloud Hybrid Technologies, LLC

Denver (CO)

On-site

USD 150,000 - 200,000

Full time

14 days+

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Job summary

A leading AI technology firm located in Denver, Colorado is seeking an experienced professional to design backend architectures for scalable Generative AI solutions. The ideal candidate will have over 12 years of experience in building software systems, particularly in cloud-native architectures, and will be proficient in Generative AI techniques. Responsibilities include building RAG pipelines, leading model tuning for enterprise AI, and implementing monitoring frameworks to ensure responsible AI practices. This role emphasizes communication and leadership in an agile environment.

Qualifications

  • 12+ years of experience in building and scaling software systems.
  • Proven expertise in backend architectures and distributed systems.
  • Hands-on experience with Generative AI techniques.

Responsibilities

  • Design and implement backend architectures for scalable GenAI solutions.
  • Build agentic RAG pipelines with strong context management.
  • Lead model grounding, fine-tuning, and distillation for enterprise AI.
  • Implement observability and monitoring frameworks for AI in production.

Skills

Backend and distributed cloud-native architectures
Generative AI techniques
Responsible AI knowledge
Containerization (Docker)
Orchestration (Kubernetes)
Cloud platforms (AWS, Azure, GCP)
Communication and leadership skills
Agile project delivery

Tools

Cognigy.AI
GenAI frameworks (e.g., LangChain, LlamaIndex)

Job description

A leading AI technology firm located in Denver, Colorado is seeking an experienced professional to design backend architectures for scalable Generative AI solutions. The ideal candidate will have over 12 years of experience in building software systems, particularly in cloud-native architectures, and will be proficient in Generative AI techniques. Responsibilities include building RAG pipelines, leading model tuning for enterprise AI, and implementing monitoring frameworks to ensure responsible AI practices. This role emphasizes communication and leadership in an agile environment.
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