GenAI Solution 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

Key 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.
  • Drive responsible AI practices, aligning with risk and compliance policies.
  • Integrate GenAI frameworks, cloud services, and container orchestration.
  • Optimize AI deployments for scalability, resilience, and cost efficiency.
  • Lead agile project delivery, mentoring technical teams.
  • Communicate architectural decisions clearly to both technical and business leaders.
Required Qualifications
  • 12+ years of experience in building and scaling software systems.
  • Proven expertise in backend and distributed cloud-native architectures.
  • Hands‑on experience with Generative AI techniques: agentic RAG, prompt context, grounding, fine‑tuning.
  • Strong knowledge of responsible AI, risk, and compliance frameworks.
  • Proficiency in containerization (Docker) and orchestration (Kubernetes).
  • Experience with Cognigy.AI or similar conversational AI platforms.
  • Skilled in cloud platforms (AWS, Azure, GCP) for AI deployments.Familiarity with GenAI frameworks (e.g., LangChain, LlamaIndex, Haystack).
  • Experience with MLOps, CI/CD, and AI observability.
  • Excellent communication and leadership skills with experience in agile delivery.
  • Strategic thinker with strong problem‑solving and analytical abilities.
Preferred Qualifications
  • Experience with model distillation and cost optimization.
  • Background in multi‑cloud or hybrid AI deployments.
  • Knowledge of vector databases, retrieval pipelines, and embeddings.
  • Certifications in AI/ML, cloud architecture, or responsible AI.

Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Cloud Hybrid is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. Cloud Hybrid will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will Cloud Hybrid require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.

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