VP Innovation (R&D) at Foulk Manor North
, , United States -
Full Time


Start Date

Immediate

Expiry Date

11 May, 26

Salary

100.0

Posted On

10 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Cloud Migration, Generative AI, DevOps, Containerization, Infrastructure as Code, Technical Leadership, Software Engineering, AI Governance, Change Management, Communication, Resilience, Linux, Networking, Security, Python, CI/CD

Industry

Description
About the Role We are seeking a hands-on, execution-focused VP of Innovation to join one of our key portfolio companies. Reporting directly to the CTO, you will lead a specialized technical team (DevOps & Senior Developers) tasked with the company’s most critical modernization initiatives. This is a "Player-Coach" role. We are not looking for a theoretical strategist or a pure people manager. We are looking for a senior technologist who has deep experience navigating legacy codebases, migrating on-premise operations to the public cloud, and architecting modern Generative AI solutions. You will act as a catalyst for change, driving technical excellence and increasing the company's enterprise value by modernizing our stack. Key Responsibilities Infrastructure Modernization (Data Center to Cloud) Lead the Migration: Architect and execute the migration of product and backend tools from legacy data centers to a public cloud environment ([AWS/Azure/GCP]). Modernize Operations: Transition from legacy hosting to modern, containerized architectures (Docker/Kubernetes) and implement robust CI/CD pipelines. Infrastructure as Code: Enforce IaC best practices using tools like Terraform or Ansible to ensure environments are reproducible and scalable. Generative AI Implementation Build & Deploy: Go beyond the hype by identifying high-ROI use cases for GenAI. You will architect and build solutions involving LLMs, RAG (Retrieval-Augmented Generation), and Vector Databases. Internal Tooling: Develop AI-driven tools to increase developer efficiency and automate backend operational workflows. AI Governance: Establish technical standards for API usage, data privacy, and cost management for AI integration. Technical Leadership Manage the "SWAT" Team: Lead a lean, high-output team of DevOps engineers and Full-Stack Developers. Hands-on Coding: Actively contribute to code reviews, architectural decisions, and critical development tasks. You will be expected to get your hands dirty. Change Management: Bridge the gap between legacy engineering practices and modern cloud-native workflows, mentoring existing staff and raising the bar for engineering quality. Must-Have Technical Experience 10+ years of total software engineering experience, with at least 3-5 years in a technical leadership position. Cloud Migration Expert: Proven track record of personally leading a successful migration from On-Premise/Data Center to Public Cloud (AWS, Azure, or GCP). AI/ML Stack: Recent, practical experience building with the modern AI stack (OpenAI/Anthropic APIs, LangChain, Pinecone/Weaviate, Python). DevOps Mastery: Strong background in Linux, Networking, Security, and Container Orchestration (K8s). Management & Soft Skills Execution First: You value shipping working code over creating slide decks. You are comfortable working in a "turnaround" or high-growth environment where speed is critical. Effective Communication: You can explain complex technical architectural decisions to non-technical stakeholders and Board members. Resilience: You have the grit to navigate legacy environments and the emotional intelligence to drive cultural change in established teams. Nice to Have Previous experience working within a Private Equity or Venture Capital-backed portfolio company. Experience dissecting and refactoring Java or .NET monoliths. Long-term contract Rate: $100/hr
Responsibilities
Lead the migration of product and backend tools from legacy data centers to a public cloud environment while modernizing operations. Manage a specialized technical team to drive technical excellence and implement Generative AI solutions.
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