TL;DR

Vp AI Engineering And Applied Research (AI Engineering): Lead strategy, development, and delivery of advanced Generative AI capabilities across customer-facing products with an accent on production readiness, scalability, cost optimization, and AI governance. Focus on managing high-performing AI teams, integrating AI into platforms, and ensuring ethical, compliant, and high-quality AI solutions.

Location: Hybrid with at least 2 days per week onsite in USA office locations including Princeton, NJ; Minneapolis, MN; New York City, NY

Salary: $203,900 - $262,150

Company

%hirify_global% is a global software and SaaS corporation specializing in AI-powered solutions for regulated industries.

What you will do

Support and execute AI strategy focusing on Generative AI for customer-facing products.
Partner with AI Platform team to embed scalable AI capabilities into core platforms.
Lead delivery of production-grade AI solutions ensuring scalability, reliability, and operational readiness.
Build, mentor, and retain a high-performing AI engineering and research team.
Drive operational excellence including quality assurance, model governance, and cost optimization.
Collaborate cross-functionally with engineering, product, UX, and operations teams to accelerate AI-first product development.

Requirements

Must have 10+ years software engineering experience with 5+ years in leadership roles.
Expertise in Generative AI, LLMs, prompt engineering, RAG, fine-tuning, and evaluation.
Experience delivering production-grade AI solutions in customer-facing products.
Strong knowledge of production software engineering best practices including CI/CD, testing, observability, and security.
Experience with cloud AI services (AWS, Azure, GCP) and hyper-scaler AI platforms.
Exceptional communication and cross-functional collaboration skills.

Nice to have

Experience in regulated industries or managing sensitive data (PII, PHI).
Knowledge of AI governance, responsible AI frameworks, and ethical AI practices.
Advanced degree in Computer Science, AI/ML, or related field.

Culture & Benefits

Hybrid work model with flexibility to work remotely and onsite at least 2 days per week.
Opportunity to lead innovation in AI-powered products at a global software corporation.
Collaborative environment with cross-functional teams including product, UX, and operations.

Hiring process

May require onsite presence at %hirify_global% office during recruitment.
Evaluation includes leadership experience, AI expertise, and cross-functional collaboration skills.