Position of AI Technical Architect; local

Position: AI Technical Architect (Only local)

Location:

Richardson, TX (3 days onsite)

Duration:
Long Term

• Architect agentic AI systems including planners, executors, validators, and supervisors.
• Design and integrate GenAI solutions within corporate IT ecosystems, ensuring security, compliance, and scalability.
• Enable GenAI capabilities across internal applications, workflows, and platforms.
• Ensure compliance with enterprise security, privacy, and regulatory requirements.
• Design fault‑tolerant and resilient AI systems with graceful degradation.

• Provide architectural leadership and design guidance to engineering teams.
• Partner with product, data science, Dev Ops, and security teams.
• Communicate complex AI architecture decisions clearly to technical and non‑technical stakeholders.

• 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 (GCP).
• Strong knowledge of model evaluation metrics and validation techniques.
• Understanding of prompt engineering, context handling, and inference optimization.
• Proficiency in Python and/or JavaScript/Type Script.
• Experience with microservices architectures, REST/gRPC APIs.
• Knowledge of event‑driven systems and messaging platforms.
• 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.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 15–20+ years of experience in software architecture or engineering, with strong AI system design experience for Healthcare customers.