
Senior AI Architect
Posted 10 hours ago

Posted 10 hours ago
This is a fully remote position, open to applicants in United States.
• Lead NCT's evolution into an AI-centric platform.
• Personally design, develop, and validate the initial version of NCT’s AI-enabled capabilities.
• Create RAG systems, code generation, LLM orchestration, and multi-agent workflows.
• Review legacy code and produce production-ready services.
• Transform legacy components into scalable, cloud-native solutions.
• Substitute manual processes with AI-driven automation.
• Deploy features safely utilizing feature flags, shadow mode, and monitoring.
• Work within HIPAA and CJIS compliance standards.
• Serve as the primary technical partner to the CEO.
• Collaborate with Banyan’s centralized AI efforts.
• After establishing the AI factory framework, oversee and enhance the engineering team’s skills.
• Deliver an AI-assisted development model, initial AI functionalities, increased engineering delivery speed, and modernized cloud services within the first 3–6 months.
• 8+ years of practical experience in software engineering.
• Proven success in modernizing complex system architectures.
• Experience in implementing cloud-native/DevSecOps methodologies.
• Documented experience in delivering functional AI/ML systems from inception to deployment, including data pipelines, modeling, deployment, and monitoring.
• Experience as a founding or initial AI engineer, autonomously delivering baseline architecture.
• Exceptional judgment in build-versus-buy decisions and pragmatic refactoring.
• Strong commercial awareness and an exploratory mindset.
• Coachable with a clear sense of self-awareness.
• Must be based in the US.
• Must have full eligibility for government-adjacent/public-sector compliance work.
• Direct experience in GovTech, public sector, or federal case management software (preferred).
• Familiarity with Azure ML and Azure OpenAI integrations (preferred).
• Experience managing, coordinating, or collaborating with distributed/offshore engineering teams (preferred).
• Complete ownership of the AI strategy, tool selection, and engineering implementation.
• Financial stability and shared expertise from a global network.
• Access to a community of Banyan operating company leaders sharing insights, lessons learned, and real-world technology stack modernizations.
• Permanent home environment without an arbitrary 3-to-5-year exit timeline.
Vanta
Moxie
Felix
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