Director of Engineering, Applied Intelligence & Data Platforms
United States
Full-time
1 week ago
$243,000 - $324,000 USD
H1B Sponsor Likely
Key skills
AI LeadershipCloud TechnologiesIoT ExpertiseComputer Vision ModelsPythonC++JavaMachine Learning AlgorithmsData GovernanceEthics ComplianceStrategic ThinkingTeam ManagementCAIMachine LearningMLComputer VisionLarge Language ModelsPyTorchTensorFlowscikit-learnMLOpsSaaSLeadership
About this role
LVT is redefining how businesses operate in the physical world with AI-driven intelligence solutions. The Director of Engineering, Applied Intelligence & Data Platforms will oversee the vision, execution, and development of AI solutions, leading multiple teams to align AI initiatives with business goals.
Responsibilities:
- Strategic AI Leadership: Work with senior leadership to develop a technical AI strategy that aligns with LVT business goals and strengthens our competitive advantage
- Scalable Architecture: Design and build multi-region distributed services capable of handling massive data throughput from globally deployed IoT sensors and cameras
- Team Management: Mentor and lead a collaborative team of machine learning engineers, MLOps engineers, and data scientists
- Agentic AI & MCP: Lead the architecture and implementation of agentic AI frameworks and define the strategy for LVT's Model Context Protocol (MCP)
- Edge-to-Cloud Integration: Oversee the development of robust data pipelines and infrastructure that span from cloud orchestration engines to edge devices like NVIDIA Jetson
- Model Lifecycle: Establish benchmarks for model performance, monitoring outputs and adjusting for accuracy and product effectiveness
- Data Governance & Ethics: Ensure all AI development adheres to strict data security, privacy, and ethical guidelines within our SaaS environment
- Research and Innovation: Stay current with the latest developments in AI research and methodologies. Encourage and support the exploration of new techniques and technologies to enhance the company's AI capabilities, and strengthen the company's competitive advantage
- Data Strategy and Governance: Ensure the use of high-quality, reliable data to train AI models. Implement AI data governance best practices to maintain the integrity, privacy, and data security
- Compliance and Ethics: Ensure that AI model development adheres to industry standards, ethical guidelines, and regulatory requirements. Promote responsible AI practices within the organization
- Cross-functional & Stakeholder partnership: Collaborate and Communicate AI strategy, progress, and outcomes to stakeholders, including the executive team, board of directors, and investors
Requirements:
- 10+ years of engineering experience, including 5+ years of applied AI/ML leadership
- Deep understanding of modern cloud technologies and orchestration engines for high-availability, multi-region services
- Proven track record in the IoT space, specifically building infrastructure for cameras and sensors in production environments
- Expert knowledge of computer vision models, Large Language Models (LLMs), and Large Vision Models (LVMs) and Agentic AI frameworks
- Proficiency in Python, C++, or Java, and experience with frameworks such as PyTorch, TensorFlow, or scikit-learn
- Practical experience deploying and optimizing models for edge hardware (e.g., NVIDIA Jetson)
- Deep understanding of machine learning algorithms, data preprocessing, model evaluation, and deployment
- Demonstrated ability to think strategically and make data-driven decisions
- Degree in Computer Science, Data Science, Engineering, or a related field