Director Development
Listed on 2026-06-22
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Software Development
AI Engineer (Applied/Software), Software Architect, DevOps
Director, Development
Location:
Remote – U.S.
Altera Touch Works is seeking a high-impact Director, Development to lead multiple engineering teams responsible for building, modernizing, and sustaining software solutions for our ambulatory healthcare EHR business. Reporting directly to the Vice President, R&D, this role will be part of and leading our engineering organization focused on AI-directed development practices while sustaining delivery excellence across an active product portfolio.
The successful candidate will bring strong Healthcare IT product engineering experience with a proven ability to scale teams, improve velocity, elevate quality, and operationalize AI-directed software development as a core engineering discipline - not merely a productivity add-on. This means governing the quality and correctness of AI-generated code output, enforcing architecture as the authoritative source of truth for all engineering decisions, and building the organizational capability to develop and deploy specialized clinical AI agents.
This leader will partner closely with Product Management, Architecture, QA, Cloud Operations, Support, Client Services, and executive leadership to align roadmap priorities, deliver customer value, improve operational efficiency, and position Touch Works for long-term growth.
The ideal candidate combines deep Healthcare IT domain expertise, strong people leadership, operational discipline, and technical credibility. They must be comfortable leading geographically distributed teams - managing multi-timezone delivery cadences and multiple consulting vendor relationships - while building a high-performance culture centered on accountability, urgency, innovation, collaboration, and customer value.
This role sits at the intersection of strategy and execution. The right candidate leads teams and drives results, while also rolling up their sleeves when the work demands it. If you are energized by transformation, comfortable operating in ambiguity, and motivated by building something new, this is the role for you.
Key Responsibilities Engineering Leadership & Delivery- Lead multiple software engineering teams delivering healthcare product enhancements, cloud-native modernization programs, regulatory initiatives, and client commitments across two parallel delivery tracks.
- Own end-to-end software delivery across planning, execution, quality, release readiness, production stability, and continuous improvement.
- Drive predictable execution through Agile delivery models, effective planning, clear priorities, and disciplined operating cadences.
- Ensure timely, high-quality delivery of roadmap commitments, compliance requirements, customer escalations, and strategic business priorities.
- Champion and operationalize AI-directed engineering practices as a core organizational capability – not a supplemental tool. This includes governing AI-generated code quality and correctness, enforcing architecture as the authoritative source of truth for all implementations, and building the team's ability to direct rather than simply write code.
- Operationalize AI engineering tools such as Claude Code, Git Hub Copilot, and related platforms to improve engineering throughput, quality, and delivery speed.
- Establish metrics to track AI adoption, developer productivity, cycle time reduction, code quality, and ROI – including AI-specific measures such as AI contribution rate, architecture conformance rate, and agent output velocity.
- Build governance models to ensure secure, compliant, and responsible use of AI in software engineering, with specific attention to HIPAA obligations around AI-generated code in clinical contexts and the handling of protected health information in AI workflows.
- Build and govern an emerging clinical AI agents capability – including ambient documentation, clinical decision support, and intelligent ordering agents – establishing safety controls, evaluation frameworks, and human-in-the-loop review standards for AI agents operating in clinical workflows.
- We are looking for someone who has lived inside AI-directed development, not observed it from a distance. The…
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