Job description

GenAI Solution Architect job at Cloud Analytics Technologies LLC. Denver, CO. 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: .

Requirements