Principal, AI Forward Deployment Engineer

7 days ago

Miami, FL, USAStaff+

Responsibilities

Architect, build, deploy, monitor, and optimize enterprise-grade AI applications, APIs, microservices, and data pipelines.
Integrate LLMs, agentic systems, and AI/ML models with business systems at scale.
Lead containerization and cloud-native deployments using Docker and Kubernetes, including EKS/ECS environments.
Design event-driven architectures using Kafka or similar streaming platforms for real-time data processing and AI inference.
Rapidly prototype solutions, deconstruct ambiguous business problems, and iterate based on stakeholder feedback and measurable business impact.
Serve as a senior technical advisor to business units and executive stakeholders, communicating architecture decisions, trade-offs, risks, and recommendations.
Lead cross-functional delivery with data scientists, data engineers, platform, infrastructure, security, privacy, microservice, and product teams.
Bring field insights back to AI/Data and Platform teams, identify reusable patterns, and advocate for platform, tooling, and developer-experience improvements.
Document solution architectures, design patterns, and operational runbooks; define engineering standards and mentor junior and mid-level engineers.

Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field; a master's degree is preferred but not required.
At least one relevant certification is required, such as an AWS certification, Kubernetes certification, or AI/ML or cloud certification.
6-8+ years of software engineering experience focused on backend or full-stack development.
4+ years deploying AI/ML solutions in production environments.
Experience leading or architecting at least three production AI systems.
Strong hands-on experience with Docker, Kubernetes, and cloud-native architectures.
Experience building and operating event-driven or streaming data systems, including Kafka or Kinesis.
Track record delivering technical solutions in ambiguous, fast-moving environments and leading technical engagements with senior or executive stakeholders.
Experience mentoring junior engineers and leading cross-functional delivery teams.
Preferred experience includes Forward Deployed Engineer, Solutions Engineer, or Technical Consultant work; generative AI, LLM, or agentic AI applications; travel, hospitality, or cruise industry experience; shipboard or disconnected computing; and platform engineering, developer tooling, or infrastructure automation.

Cruise and travel privileges for the employee and family.
Health benefits, 401(k), and employee stock purchase plan.
Training and professional development, including tuition and professional certification reimbursement.
Rewards and incentives.
In-office work Monday through Thursday with the option to work from home on Fridays; candidates must be located in or willing to relocate to the area.
Little or no travel is expected.

10,000+ employees