Vice President of AI Engineering

Signify Technology; Orlando (FL); Hybrid; USD 240,000 - 310,000; Full time

Benefits offered by this job

Competitive base salary

Performance bonus

Medical, dental, and vision coverage

401(k) with employer match

Paid time off and holidays

Executive ownership of AI function and

Budget control of AI platform and team

A team you build and lead directly

Job summary

Signify Technology is seeking a Vice President of AI Engineering to lead the company's AI strategy and build a production-ready platform in Florida. This role reports to the CTO and owns the budget, roadmap, and team responsible for turning AI investments into shipped products.

The leader will guide ML, AI infrastructure, MLOps, and vendor relationships, while partnering with Product, Data, and Security to embed AI into our offerings.

Qualifications

• 10+ years in software or ML engineering with leadership experience.
• 5+ years leading engineering teams at manager or above.
• Proven ownership of AI or ML strategy and budget.
• Track record shipping AI/ML systems to production at scale.
• Hands-on Python and modern ML frameworks.
• Expertise with large language models including fine-tuning, RAG, and evaluation.
• MLOps experience: deployment, monitoring, lifecycle management.
• Experience deploying AI workloads in AWS, Azure, or GCP; aware of inference costs.
• Leadership experience building and retaining an engineering organization.
• Legally authorized to work in the United States.

Responsibilities

• Own the AI and machine learning engineering strategy and roadmap, aligned to commercial outcomes.
• Build, lead, and grow the AI engineering, ML, and MLOps teams, including hiring and mentoring.
• Set architectural direction for AI systems, including LLM integration, RAG, and agentic workflows.
• Take AI capabilities from prototype to production with evaluation, monitoring, and reliability.
• Own MLOps and model lifecycle: deployment, versioning, drift detection, retraining.
• Own AI infrastructure and compute spend, including model selection and build-versus-buy decisions.
• Establish responsible AI practice with governance, bias review, and data handling.
• Partner with Product, Data, and Security to embed AI into the product and operating model.
• Evaluate vendor landscape and manage commercial relationships.
• Act as the credible internal and external voice on what AI can deliver for the business.

Skills

Python

Large language models

Fine-tuning

Retrieval-Augmented Generation

MLOps

Model deployment

Model monitoring

Lifecycle management

Cloud platforms (AWS, Azure, GCP)

Leadership / people management

AI strategy & budgeting

Production AI systems

Job description

Job title: Vice President of AI Engineering

Job type: Perm

Salary: $240,000 to $310,000 base plus performance bonus (DOE)

Role Location: Florida (Hybrid or Onsite) preferred. Remote considered nationally for the right leader.

The company: Signify Technology is retained on a confidential search for a Vice President of AI Engineering. Our client is past the pilot stage on AI and is now hiring an executive to take it into production properly, with ownership of the strategy, the platform, the spend, and the team. This is a genuine build seat rather than a caretaker one, reporting into the CTO or executive leadership, with a mandate to turn AI investment into shipped product. Because this is a confidential search, the client is named on a first conversation.

Role And Responsibilities

• Own the AI and machine learning engineering strategy and roadmap, and align it to commercial outcomes.
• Build, lead, and grow the AI engineering, machine learning, and MLOps teams, including hiring and mentoring.
• Set the architectural direction for AI systems, including large language model integration, retrieval-augmented generation, and agentic workflows.
• Take AI capabilities from prototype into production, with the evaluation, monitoring, and reliability that requires.
• Own the MLOps and model lifecycle practice, covering deployment, versioning, drift detection, and retraining.
• Own AI infrastructure and compute spend, including model selection, inference cost, and build-versus-buy decisions.
• Establish responsible AI practice, including model governance, evaluation standards, bias review, and data handling.
• Partner with Product, Data, and Security leadership to embed AI into the product and the operating model.
• Evaluate the vendor and model landscape and own those commercial relationships.
• Act as the credible internal and external voice on what AI can and cannot deliver for the business.

Job Requirements

• 10 or more years in software or machine learning engineering, with 5 or more years leading engineering teams at manager, director, or above.
• Proven ownership of an AI or machine learning strategy and the budget behind it.
• Demonstrated track record of shipping AI or machine learning systems into production at scale, not only proofs of concept.
• Deep, hands-on background in Python and modern machine learning frameworks.
• Strong expertise with large language models, including fine-tuning, retrieval-augmented generation, and evaluation methodology.
• Solid MLOps grounding, including model deployment, monitoring, and lifecycle management.
• Experience deploying AI workloads in AWS, Azure, or GCP, with real awareness of inference economics.
• Track record of building, leading, and retaining an engineering organization.
• Legally authorized to work in the United States.

Benefits

• Competitive base salary plus performance bonus
• Medical, dental, and vision coverage
• 401(k) with employer match
• Paid time off and paid holidays
• Executive ownership of the AI function, its platform, and its budget
• A team you build and lead directly
• A real mandate and real budget, not an innovation-theatre seat

Accessibility Statement: We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process.

Our Commitment to Diversity, Equity, and Inclusion: Signify's mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.

Check out our DE&I page here: https://www.signifytechnology.com/diversity-and-inclusion/