Head of Applied AI Engineering

Vi; United States; On-site; USD 180,000 - 300,000; Full time

Benefits offered by this job

Health insurance

Performance bonuses

Job summary

Vi is seeking a Head of Applied AI Engineering to lead the technical execution of agentic AI applications in high-stakes healthcare, pharma, and wellness enterprises. The role sits at the intersection of Engineering, Product, and Commercial Growth, overseeing all AI deployment squads across verticals and clients.

You will manage the full deployment lifecycle—from pre-sales technical discovery to long-term expansion—ensuring scalable, compliant solutions that integrate with client EHR/EMR, CRM,

Qualifications

• 10+ years in hands-on engineering & delivery leadership with end-to-end ownership.
• Strong backend foundations, real-time services, and scalable data pipelines.
• Realtime and distributed systems expertise with event-driven architectures.
• Client-facing leadership in enterprise engagements; ROI-driven systems.
• Business development experience in land-and-expand motions.
• Startup experience, founding or early-stage impact.

Responsibilities

• Lead AI engineering deployments across healthcare, pharma, and wellness verticals.
• Oversee end-to-end deployment lifecycle from pre-sales to expansion.
• Build and mentor a high-performing Applied AI engineering org.
• Ensure HIPAA-compliant, scalable integration with client systems.
• Partner with Sales to identify high-ROI use cases and upsell opportunities.
• Translate field needs into reusable platform components and improvements.

Skills

Leadership

Backend systems

Real-time systems

Data pipelines

Enterprise engagements

Pre-sales & strategy

HIPAA compliance

Education

Technical degree in CS / Software Engineering

Job description

We are seeking a Head of Applied AI Engineering to lead our technical execution and delivery of Vi’s agentic AI applications with high-stake healthcare, pharma and wellness enterprises. This is a high-impact leadership role sitting at the intersection of Engineering, Product, and Commercial Growth.

You will be responsible for leading all of our AI deployment squads across all verticals and clients, ensuring that our predictive, precise and personalized agents are successfully integrated into the complex production environments and execution of patients, care team and operational next best actions. You will oversee the entire deployment lifecycle—from pre-sales technical discovery to long-term commercial expansion—across our healthcare, pharma and wellness verticals.

Key Responsibilities

• Hands-On Leadership & Team Growth: Build, hire, and mentor a high-performing organization of Applied AI Engineers. Own the department charter, ROI performance, and technical best practices.
• End-to-End Delivery Management: Own and manage the technical success of agentic AI deployments, ensuring systems are HIPAA-compliant, scalable, and deeply integrated with client EHR/EMR, CRM, and claims data systems.
• Strategic Client Partnership: Act as the primary technical executive for strategic enterprise accounts, translating complex business workflows into production-ready AI configurations.
• Pre-Sales & Commercial Strategy: Partner with Sales and Growth teams to lead technical discovery, underwrite high-ROI use cases, and drive expansion/upsell opportunities within existing accounts.
• Product & Engineering Feedback Loop: Collaborate with Platform Engineering and Product teams to turn field-derived configuration patterns into reusable components and platform improvements.
• Operational Excellence: Oversee the design of robust data ingestion pipelines, real-time agent infrastructure, and output guardrails to ensure agents remain compliant and safe.

What We’re Looking For

• 10+ years in hands-on engineering & delivery leadership in high-stakes environments; proven end-to-end ownership of outcomes.
• Strong backend + data foundation — APIs, real-time services, and scalable data pipelines (ETL/ELT, streaming).
• Technical degree in Computer Science, Software Engineering or similar
• Real-time & distributed systems — event-driven architectures, WebSockets/streaming, high-throughput production systems.
• Client-facing + team leadership — leads enterprise engagements and high-talent FDE teams; translates workflows into scalable, ROI-driven systems; thrives in 0→1 and scale environments.
• Business development skills to act as a key player way in ‘land and expand’ motions across enterprise accounts
• Significant startup experience throughout career, playing a key role as a founding member or having an impact at an early stage startup (less than 150 employees).