NIVA Health
Healthcare
FractionalEngineering&AIOperationsLead
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“Fractional Engineering & AI Operations Lead at NIVA Health. Skills: Engineering Leadership, AI Platform Operations, Project Execution. Provide technical direction. Provide mentorship”
What You'll Achieve.
Build structure within engineering function; Ensure leadership initiatives executed efficiently; Keep AI platform operating at high level; Help scale technology capabilities
Industry & Context.
Resolve technical blockers; Resolve risks; Resolve dependencies
What They're Looking For.
Must Have
5 - 7 years of software engineering experience, 3+ years of engineering leadership, experience with Python, modern application development frameworks, Experience managing engineering projects, Experience with AI-enabled applications, Experience with LLMs, Experience with automation tools, Experience with agentic systems, Experience working within cloud environments, Google Cloud Platform (GCP) experience, Proven ability to operate effectively in startup environments, Proven ability to operate effectively in high-growth environments, communication skills
What You'll Do.
Provide technical direction
Provide accountability
Establish engineering standards
Establish best practices
Support development of engineering talent
Own execution of technology initiatives
Translate business objectives into project plans
Translate business objectives into technical deliverables
Manage project outcomes
Identify technical blockers
Resolve technical blockers
Identify dependencies
Oversee operation of AI platform
Oversee maintenance of AI platform
Oversee enhancement of AI platform
Partner with leadership to identify automation opportunities
Partner with leadership to identify AI-driven efficiencies
Ensure platform reliability
Ensure platform scalability
Ensure platform performance
Ensure continuous improvement
Support deployment of new AI capabilities
Support deployment of new AI workflows
Provide oversight of cloud-based systems
Provide oversight of application architecture
Ensure solutions are secure
Ensure solutions are scalable
Ensure solutions align with business needs
Drive technical governance
Drive operational excellence
How You'll Work.
Team & Collaboration
Collaborate directly with founders; Collaborate with executive leadership
Communication Scope
Communication skills
Process & Methodology
Project management
Full Job Description
**Fractional Engineering & AI Operations Lead** **15 - 20 hours per week I Remote I Contractor** NIVA Health (US based healthcare organization) is seeking a highly technical, hands-on Fractional Engineering & AI Operations to lead engineering execution, oversee our proprietary agentic AI platform, and drive delivery of strategic technology initiatives. This role serves as the primary technical partner to company leadership, translating business priorities into scalable solutions while managing a small team of Full Stack Engineers. The ideal candidate combines strong software engineering expertise with project leadership capabilities and thrives in a fast-paced, high-growth environment. This is a high-impact role focused on execution, innovation, and operational excellence. _**Key Responsibilities**_ **Engineering Leadership** * Provide technical direction, mentorship, and accountability. * Establish engineering standards, workflows, and best practices. * Support hiring, onboarding, and development of engineering talent. **Project Delivery & Execution** * Own the execution of technology initiatives submitted by executive leadership. * Translate business objectives into actionable project plans and technical deliverables. * Manage priorities, timelines, resources, and project outcomes. * Identify and resolve technical blockers, risks, and dependencies. **AI Platform Operations** * Oversee the operation, maintenance, and enhancement of NIVA Health's agentic AI platform. * Partner with leadership to identify opportunities for automation and AI-driven efficiencies. * Ensure platform reliability, scalability, performance, and continuous improvement. * Support deployment of new AI capabilities and workflows. **Technology & Infrastructure** * Provide oversight of cloud-based systems and application architecture, primarily within Google Cloud Platform (GCP). * Ensure solutions are secure, scalable, and aligned with business needs. * Drive documentation, technical governance,
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