Gen AI & Data Solutions Architect

Socket.dev

Denver (CO)

On-site

USD 128,000 - 225,000

Full time

7 days ago
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Job summary

CDM Smith in Denver seeks a Data and AI Solution Architect to join our Business Technology team. The role designs and delivers AI-enabled solutions across business, data engineering, and technology teams, leveraging AI agents, generative AI, and ML with enterprise data, APIs, and existing platforms.

The ideal candidate will architect end-to-end AI solutions, mentor colleagues, and contribute to a reusable architectural pattern library, while aligning with the Azure well-architected framework and

Qualifications

  • 6 years of related experience.
  • Bachelor’s degree.
  • Experience with enterprise AI platforms and APIs.
  • Experience with AI agents or agentic workflows.

Responsibilities

  • Develop architecture for Gen AI and AI agent solutions that are scalable and secure.
  • Design AI data access patterns for structured and unstructured data across apps and data platforms.
  • Create architecture diagrams, designs, patterns and roadmaps.
  • Translate business needs into technical requirements and designs.
  • Evaluate AI approaches for value, feasibility, cost, and risk.
  • Develop prototypes and PoCs to demonstrate capabilities.
  • Contribute to the AI vision and roadmap for Business Technology.
  • Mentor junior team members and promote learning.

Skills

Azure/OpenAI
Databricks
Python
AI agents
LangChain
APIs
DevOps
Agile
Data pipelines

Education

Bachelor’s degree

Tools

LangChain framework
Semantic Kernel
Databricks tooling

Job description

CDM Smith in Denver seeks a Data and AI Solution Architect to join our Business Technology team. The role designs and delivers AI-enabled solutions across business, data engineering, and technology teams, leveraging AI agents, generative AI, and ML with enterprise data, APIs, and existing platforms.

The ideal candidate will architect end-to-end AI solutions, mentor colleagues, and contribute to a reusable architectural pattern library, while aligning with the Azure well-architected framework and

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