Enterprise Application Architect - GenAI - Job Description
15+ years overall experience and at least 1 GenAI enterprise implementation
Design end-to-end solution architectures embedding Generative AI components (LLMs, RAG pipelines, prompt engineering, AI agents) into core enterprise systems.
Establish architecture standards, design principles, and governance frameworks for microservices, APIs, and cloud-native application design.
Model application, data, and integration architectures to ensure performance, scalability, security, and maintainability.
Evaluate and select GenAI platforms, frameworks, and tooling based on architectural fit, technical feasibility, and long-term scalability.
Conduct architecture reviews and technical design assessments to ensure compliance with enterprise design standards.
Skills:
Python / Node.js / SQL
OpenAI, Azure OpenAI, Anthropic Claude, LangChain, LlamaIndex, vector databases
AWS Bedrock, Azure, GCP, Google Vertex
MCP, MLFlow, LangSmith
TensorFlow, PyTorch, Scikit-learn
Hugging Face Transformers
Microservices frameworks (Spring Boot, .NET Core)
Docker, Kubernetes
Apache Spark, Airflow, Kafka
Compensation, Benefits and Duration
Minimum Compensation:
Maximum Compensation:
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post.
Similar Jobs
What you need to know about the Colorado Tech Scene
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

