Sr. AI Solutions Engineer

Virgin Cruises Intermediate Limited•Plantation, FL

31d•Remote

About The Position

We are seeking an accomplished Sr. AI Solutions Engineer to lead the design, development, and implementation of advanced AI and machine learning solutions for enterprise applications. The ideal candidate will have a proven track record in driving large-scale AI initiatives, with strong experience in developing and deploying ML models, generative AI applications, and integrating AI with core business systems such as CRM platforms.

Requirements

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
10-15 years of experience in software engineering, with at least 5 years focused on AI/ML development and deployment.
Proven track record in leading AI projects, including full-stack ML and generative AI applications in enterprise settings.
Advanced proficiency in Python programming, including backend APIs (e.g., FastAPI, Flask) and data pipelines.
Expertise in ML frameworks (e.g., TensorFlow, PyTorch), AI agent frameworks (e.g., LangChain), and cloud AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI).
Strong experience with data engineering tools, SQL/NoSQL databases, and integration technologies like APIs and microservices.
Aptitude for mathematics, statistics, and problem-solving, with hands-on experience in model evaluation, optimization, and ethical AI considerations.
Exceptional communication, collaboration, and stakeholder management skills, with a customer-focused mindset.
Ability to thrive in a fast-paced, dynamic environment, manage multiple priorities, and drive proactive problem-solving.

Responsibilities

Lead the architectural design and integration of AI/ML solutions, focusing on scalable models for predictive analytics, natural language processing, and automation.
Ensure AI solutions align with business goals, ethical AI standards, and industry best practices.
Develop and maintain AI blueprints, model documentation, and deployment pipelines.
Define and execute the AI technology strategy for enterprise applications.
Identify and evaluate emerging AI technologies, such as large language models and agent frameworks, to enhance system intelligence, scalability, and reliability.
Collaborate with stakeholders to align AI initiatives with business objectives.
Provide AI engineering guidance and oversight for multiple concurrent projects.
Work closely with project managers, data scientists, and business teams to ensure successful delivery of AI-driven outcomes.
Oversee the implementation of agile methodologies, MLOps practices, and continuous improvement in AI development.
Lead the integration of AI solutions with enterprise systems, ensuring seamless data flow, interoperability, and real-time inference capabilities.
Design and implement APIs, microservices, and edge AI deployments for hybrid environments.
Ensure AI applications are designed for high availability, low-latency performance, and scalability across cloud and on-premises infrastructures.
Conduct model optimization, performance tuning, and bias mitigation for production-grade AI systems.
Mentor and guide engineers, data scientists, and developers in AI best practices.
Foster a culture of innovation, ethical AI development, collaboration, and continuous learning.
Engage with senior executives and key stakeholders to understand business needs and translate them into actionable AI solutions.
All other duties as assigned