AI Technical Architect

Job Description: AI Technical Architect
Location: Richardson, TX, Hybrid

Duration: 12 months

Role Summary:
We are seeking an AI Architect with strong experience designing and deploying enterprise-scale AI and GenAI solutions. The role focuses on architecting agentic AI systems, integrating GenAI capabilities into corporate platforms, and ensuring models are evaluated, governed, tested, and deployed reliably at scale.
This role requires architect-level expertise on Google Cloud Platform (Google Cloud Platform), deep understanding of Model Context Protocols, and hands-on experience delivering production-grade AI systems in regulated or enterprise environments. Good to have healthcare domain experience.

• Experience with model deployment, versioning, and lifecycle management.
• Familiarity with CI/CD pipelines, containerization, and cloud-native deployments.
• Ability to design systems for scalability, resilience, and cost efficiency.
Qualifications
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 10–12+ years of experience in software architecture or engineering, with strong AI system design experience.

Required Technical Skills
• Strong experience designing agentic AI systems and autonomous workflows.
• Hands-on experience with Model Context Protocol (MCP) or equivalent context management frameworks.
• Deep understanding of GenAI systems in enterprise environments.
• Experience working with LLMs and GenAI models.
• Architect-level experience with Google Cloud Platform (Google Cloud Platform).
• Strong knowledge of model evaluation metrics and validation techniques.
• Understanding of prompt engineering, context handling, and inference optimization.
• Proficiency in Python and/or JavaScript/TypeScript.
• Experience with microservices architectures, REST/gRPC APIs.
• Knowledge of event-driven systems and messaging platforms.