Senior AI Architect

Banyan Software

. Spearhead NCT’s transition into an AI-first platform .

Posted 11/3/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI-driven development, cloud-native architecture, and compliance with HIPAA and CJIS frameworks. Proven ability to lead engineering teams, modernize complex systems, and deliver functional AI/ML solutions end-to-end.

Highest-signal resume keywords

AI-Driven Capability DevelopmentCloud-Native ArchitectureDevSecOps PracticesAI/ML Systems DeploymentHIPAA Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringCode GenerationLegacy Code AnalysisFeature Flag DeploymentMulti-Agent WorkflowsRAG SystemsRefactoringData PipelinesModelingMonitoring

Soft Skills

Commercial AcumenExploratory MindsetCoachabilitySelf-Awareness

Tools & Technologies

Azure MLAzure OpenAI

Industry Keywords

GovTechPublic SectorFederal Case Management SoftwareCompliance Frameworks

Tech Stack

Tools & technologies

AzureCloud

About the role

Key responsibilities & impact

Spearhead NCT’s transition into an AI-first platform
Personally design, build, and prove the first version of NCT’s AI-driven capability
Build RAG systems, code generation, LLM orchestration, and multi-agent workflows
Analyze legacy code and generate production-ready services
Refactor legacy components into scalable, cloud-native services
Replace manual workflows with AI-driven automation
Safely deploy features using feature flags, shadow mode, and monitoring
Operate within HIPAA and CJIS compliance frameworks
Act as the core technical partner to the CEO
Collaborate with Banyan’s centralized AI initiatives
After establishing the AI factory framework, manage and upskill the engineering team
Deliver an AI-assisted development model, initial AI features, improved engineering delivery speed, and modernized cloud services within the first 3–6 months

Requirements

What you’ll need

8+ years of hands-on software engineering experience
Proven track record modernizing complex architectures
Experience establishing cloud-native/DevSecOps practices
Documented experience shipping functional AI/ML systems end-to-end to real users, including data pipelines, modeling, deployment, and monitoring
Experience as a founding or first AI engineer, independently delivering baseline architecture
Exceptional build-vs-buy judgment and pragmatic refactoring judgment
Strong commercial acumen and exploratory mindset
Coachability and clear-eyed self-awareness
Must be US-based
Must be fully eligible for government-adjacent/public-sector compliance work
Direct GovTech, public sector, or federal case management software experience (nice-to-have)
Familiarity with Azure ML and Azure OpenAI integrations (nice-to-have)
Experience managing, coordinating, or collaborating with distributed/offshore engineering teams (nice-to-have)

Benefits

Comp & perks

Complete ownership of the AI strategy, tool choices, and engineering execution
Financial stability and shared expertise of a global network
Access to a community of Banyan operating company leaders sharing playbooks, lessons, and real-world tech-stack modernizations
Permanent-home environment without an arbitrary 3-to-5-year exit clock