Vice President – AI & Software Engineering

• →Lead the architecture and development of TeraRecon’s next-generation agentic AI platform, establishing the technical vision, architecture, engineering standards, and development roadmap.
• →Design and build AI applications and intelligent agents/assistants for clinical imaging, clinical intelligence, radiology, and workflow automation.
• →Define architectures for agent orchestration, tool use, multi-agent workflows, LLM/RAG-based applications, context management, memory, evaluation, observability, and AI safety/guardrails.
• →Translate complex clinical and radiology workflows into reliable, scalable, and production-grade AI solutions.
• →Lead and develop a 45 to 50 member team of AI/ML and software engineers, creating a high-performance engineering culture focused on technical excellence, ownership, and rapid execution.
• →Remain technically hands-on, contributing to architecture, design reviews, critical technical decisions, and resolution of complex engineering/AI challenges.
• →Establish engineering practices for scalability, reliability, security, performance, testing, deployment, monitoring, and production resilience of AI-powered healthcare applications.
• →Partner closely with Product, Clinical, AI/ML, and other technology leaders to identify opportunities where agentic AI can deliver meaningful improvements in clinical and radiology workflows.
• →Drive the development lifecycle from architecture and prototyping through production deployment, scale, and continuous optimization.
• →Ensure solutions meet the high standards required for clinical-grade, regulated healthcare software, including appropriate considerations around security, privacy, validation, explainability, and reliability.
• →Attract, mentor, and retain high-quality engineering talent while building strong technical leadership within the organization.

• Typically, 18+ years of software/engineering experience, with significant experience leading engineering organizations and complex product development.
• Proven experience building and scaling healthcare, clinical, medical imaging, radiology, or related healthcare technology products.
• Strong track record of taking complex AI/software products from architecture through production and scale.
• Experience leading engineering team, ideally across AI/ML and software engineering disciplines.

• Deep, hands-on experience designing and building agentic AI systems and platforms is mandatory.
• Strong understanding of LLM-based application architecture, AI agents, agent orchestration, tool calling, RAG, multi-agent systems, memory/context architectures, AI evaluation, and production AI infrastructure.
• Demonstrated experience moving agentic AI concepts beyond experimentation into robust, scalable production applications.
• Ability to make pragmatic architectural decisions across LLMs, AI models, data, application services, APIs, orchestration, and infrastructure.

• Strong experience developing clinical, healthcare, medical imaging, radiology, or adjacent healthcare applications.
• Understanding of the complexities of building software for clinical workflows and healthcare environments.
• Experience with healthcare data, clinical systems, imaging workflows, or standards such as DICOM, HL7/FHIR would be highly valuable.

• Exceptional engineering leadership and people-management capabilities.
• Ability to operate simultaneously at strategic, architectural, and execution levels.
• Strong product orientation and ability to translate clinical/business problems into technology solutions.
• Proven ability to build high-performing, accountable engineering teams.
• Excellent communication skills with the ability to influence Product, Clinical, AI/ML, and executive stakeholders.

The strongest candidates will demonstrate a combination of:

Agentic AI expertise + Healthcare/Medical Imaging expertise + Deep technical engineering leadership + Proven product delivery.

In particular, we are looking for someone who has personally architected and built agentic AI platforms/products, rather than someone whose experience is primarily in AI strategy, research, program management, or conventional software engineering leadership.

Success will be measured by the leader's ability to:

1. Establish and execute the architecture for TeraRecon's agentic AI platform.
2. Rapidly convert AI capabilities into production-grade clinical applications and assistants.
3. Build and lead a highly effective around 50 person AI/software engineering organization.
4. Deliver scalable, secure, reliable, and clinically appropriate AI solutions.
5. Establish TeraRecon as a technology leader in AI-powered medical imaging and radiology workflow automation.

TeraRecon is a significant healthcare imaging technology company. TeraRecon develops advanced visualization, clinical AI, and imaging workflow software for hospitals and health systems. Its imaging solutions are being used by 2,000+ hospitals globally and it has more than 20 years of imaging experience. Visit our website www.terarecon.com for more information.

SAIGroup is a private investment firm that has committed $1 billion to incubate and scale revolutionary AI-powered enterprise software application companies. Our portfolio, a testament to our success, comprises rapidly growing AI companies that collectively cater to over 2,000+ major global customers, approaching $750 million in annual revenue, and employing a global workforce of over 4,000 individuals.