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Director Vector Jobs in Florida (NOW HIRING)

... directed by AI platform leadership. * Assist with Infor integration and other trusted data ... Build and support retrieval-augmented generation (RAG), embeddings, vector search, document ...

DevOpsEngineer

Wellington, FL · On-site

$49.25 - $67.50/hr

GPU clusters, model serving (vLLM, TGI, Triton, Ollama, TensorRT-LLM), vector databases (pgvector ... Direct experience deploying systems in CJIS, FedRAMP, IL4/5, or equivalent regulated environments.

Data Engineer | TS/SCI Required

Tampa, FL · On-site

$108K - $129K/yr

... vector stores, and relational databases • Contributing to application security, data security ... If you require a reasonable accommodation to participate in the recruiting process, please direct ...

Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented ... Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior ...

Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented ... Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior ...

Showing results 41-60

Director Vector information

What are some common challenges faced by a director vector, and how can they be addressed?

A Director of Vector Operations often encounters challenges such as coordinating multidisciplinary teams, managing large-scale projects, and staying current with evolving technologies in vector control or vector-borne disease research. Effective communication and strong leadership are essential for aligning diverse teams and ensuring project milestones are met. Proactively fostering collaboration between research scientists, field teams, and external partners helps address operational hurdles, while ongoing professional development ensures that best practices and regulatory requirements are consistently upheld.

What are the key skills and qualifications needed to thrive as a director vector?

To thrive as a Director of Vector, you need leadership experience in biotechnology or pharmaceuticals, expertise in gene therapy or vector development, and an advanced degree such as a PhD or equivalent in a related field. Familiarity with laboratory information management systems (LIMS), regulatory submission processes, and tools for genetic engineering is crucial. Excellent strategic planning, project management, and communication skills help foster innovation and collaboration among multidisciplinary teams. These qualifications ensure effective oversight of vector development, regulatory compliance, and successful execution of research programs.

What are the roles and responsibilities of a director vector?

A Director Vector typically leads teams focused on vector graphics or vector-based technologies within a company, overseeing project planning, execution, and innovation. Their responsibilities often include managing creative or technical staff, setting strategic goals, and ensuring alignment with organizational objectives. They may also be involved in collaborating with other departments, budgeting, and representing the vector team in executive meetings. The role requires strong leadership, technical expertise, and a deep understanding of vector technologies or related fields.
What are the most commonly searched types of Vector jobs in Florida? The most popular types of Vector jobs in Florida are:
What are popular job titles related to Director Vector jobs in Florida? For Director Vector jobs in Florida, the most frequently searched job titles are:
What cities in Florida are hiring for Director Vector jobs? Cities in Florida with the most Director Vector job openings:

Director, AI Agents & Platform Engineering

Signature Aviation

Orlando, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Signature Aviation rating

6.8

Company rating: 6.8 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

37th of 65 rated aviation services


Job description

At Signature Aviation, we are building an enterprise AI platform to transform operational efficiency, revenue optimization, and decision intelligence across our global network. This role will define and lead the strategy, architecture, and engineering delivery of AI capabilities that power dynamic pricing, ramp capacity optimization, predictive operations, CRM intelligence, and automated operational workflows. The Director, AI Agents & Platform Engineering will partner closely with Product, Commercial, Operations, and Technology leaders to scale AI solutions that directly impact revenue growth, operational performance, and customer experience.

This leader will build and guide high-performing AI engineering teams while establishing the governance, architecture, and platform capabilities required to deploy AI safely and effectively across the enterprise.
 

With more than 225 locations worldwide, Signature Aviation is the largest global network of private aviation terminals, delivering safe, convenient, and elevated experiences to those we serve. As a premier hospitality organization and a certified Great Place to Work, we are committed to redefining private air travel. Our nearly 6,000-strong team of aviation experts and enthusiasts is dedicated to delivering excellence to our guests and communities, and it starts with taking care of our team. Signature provides a variety of benefits, programs, and resources to support our team members' overall well-being and professional development. We proudly volunteer and give back, focusing on elevating the neighborhoods where we operate, empowering the next generation of aviation professionals, and supporting our veterans. 

From your health to your financial wellness, there are several benefits for you and your family when joining Signature Aviation.

     Our Benefits:

  • Medical/prescription drug, dental, and vision Insurance
  • Health Savings Account
  • Flexible Spending Accounts
  • Life Insurance
  • Disability Insurance
  • 401(k)
  • Critical Illness, Hospital Indemnity and Accident Insurance
  • Identity Theft and Legal Services
  • Paid time off
  • Paid Maternity Leave
  • Tuition reimbursement 
  • Training and Development
  • Employee Assistance Program (EAP) & Perks

Qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, or other protected characteristics.

Minimum Education and/or Experience:

  • 12-15+ years of experience in software engineering, AI/ML platforms, or data systems
  • 7+ years leading engineering teams delivering complex distributed systems or enterprise AI platforms
  • Demonstrated experience building and scaling AI or machine learning platforms in production environments.
  • Experience leading cross-functional initiatives across engineering, product, and business stakeholders
  • Bachelor's degree in Computer Science, Engineering, or a related technical field (advanced degree preferred)

Additional knowledge and skills:

  • Experience with enterprise AI platforms such as Azure AI, AWS Bedrock, or Google Vertex AI
  • Experience building LLM-enabled applications using frameworks such as LangChain or Semantic Kernel
  • Knowledge of vector databases and retrieval-augmented generation architectures
  • Strong proficiency in Python and distributed systems development
  • Experience operating containerized platforms using Kubernetes and CI/CD pipelines
  • Familiarity with AI monitoring, model lifecycle management, and MLOps platforms
  • Experience designing AI systems supporting revenue optimization, pricing intelligence, or operational forecasting
  • Experience in aviation, logistics, mobility, or other large-scale operational environments preferred
  • Define and lead the enterprise AI platform strategy supporting revenue optimization, operations intelligence, and automation initiatives
  • Build and lead high-performing AI engineering teams responsible for developing and scaling AI capabilities across the enterprise
  • Drive the design and deployment of AI solutions enabling dynamic pricing, revenue optimization, and demand forecasting
  • Lead development of predictive operational models to optimize ramp capacity, staffing, and operational throughput
  • Establish enterprise data and AI architecture supporting scalable model deployment, orchestration, and monitoring
  • Advance AI-driven data enrichment across CRM, crew, and operational data platforms
  • Implement intelligent task orchestration and automation capabilities that improve operational efficiency across locations
  • Establish governance frameworks for responsible AI, security, and model lifecycle management
  • Partner with Product, Commercial, Operations, and Technology leadership to align AI capabilities with strategic business priorities
  • Evaluate emerging AI technologies and platforms to continuously improve enterprise AI capabilities
  • Communicate strategy, progress, and measurable business impact to executive leadership

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