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Head of AI Engineering - NCT

Banyansoftware · United States

remoteseniorPosted Sep 8, 2026AzureAzure OpenAIAzure MLLLM orchestrationRAGmulti-agent workflowsDevSecOpsfeature flags

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About this role

**Head of AI Engineering — Next Chapter Technology (NCT)** **Company:** Next Chapter Technology (An Operating Company of Banyan Software) **Location:** US-Based (Remote) — *Must meet federal-adjacent compliance eligibility* **Reports To:** Chief Executive Officer --- ## About Next Chapter Technology (NCT) Next Chapter Technology builds **CaseWorks**, a mission-critical content and workflow management platform embedded in **county-level Health and Human Services operations** across the United States. With a 15-year engineering history, a captive install base, and structured operational data, NCT is at an inflection point to become an **AI-first platform**. --- ## The Opportunity We’re seeking a **Head of AI Engineering** to spearhead NCT’s transition into an **AI-first platform**. This is an **intensely hands-on, builder-to-leader** role with a strict **“build-solo-first” mandate**: - **Initially:** personally design, build, and prove the first version of NCT’s AI-driven capability—**shipping measurable customer value before expanding headcount**. - **After the AI factory is proven:** take on **people-management** responsibility for scaling and upskilling the engineering team to adopt modern workflows. We are **not** looking for a hands-off manager or someone who leaves day-to-day technical execution behind. --- ## What You Will Own - **AI-First Modernization (Hands-On):** Design and build foundational AI capabilities such as **RAG systems, code generation, LLM orchestration, and multi-agent workflows** to analyze legacy code and generate production-ready services. - **Platform Modernization:** Pragmatically refactor legacy components into **scalable, cloud-native services** and replace manual workflows with **AI-driven automation**—without defaulting to a wholesale rewrite. - **Phased Engineering Leadership:** Once proven solo, own delivery outcomes: manage team execution, elevate talent density, set engineering rhythms, and mentor developers into an **AI-native** way of working. - **Safe, Compliant Execution:** Deploy features using **feature flags, shadow mode, and monitoring**, while operating within government-adjacent/public-sector compliance frameworks (e.g., **HIPAA, CJIS**). - **Banyan Ecosystem Partnership:** Serve as the core technical partner to the CEO and collaborate with Banyan’s centralized AI initiatives to accelerate localized product value. --- ## What We Are Looking For - **Deep Software Breadth:** 8+ years of hands-on software engineering, with a track record of modernizing complex architectures and establishing **cloud-native/DevSecOps** practices. - **Production AI Experience:** Proven history shipping functional **AI/ML systems end-to-end** to real users (data pipelines, modeling, deployment, monitoring). Treat AI tooling as core engineering productivity. - **“Build-Solo” Appetite:** Experience as a founding or first AI engineer delivering baseline architecture independently before relying on a larger team. - **Pragmatic Refactoring Judgment:** Strong build-vs-buy judgment and patience guiding a **15-year-old Microsoft-stack** platform through a modernization step-change. - **Leadership Maturity:** Proven ability to manage engineering teams and a genuine desire to develop technical talent. - **Radical Humility:** Strong commercial acumen and exploratory mindset—earn trust through coachability and self-awareness. - **Logistics:** Must be **US-based** and fully eligible for government-adjacent/public-se

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