AI Forward Deployment Engineer

Kforce has a client that is seeking an AI Forward Deployment Engineer in Doral, FL. Responsibilities:

• AI Application Development & Deployment: Architect, build, and deploy enterprise-grade AI-powered applications using modern backend technologies (Python, Node.js, FastAPI, Express); Design and implement robust APIs and microservices architectures that integrate AI/ML models-including LLMs and agentic systems-with business systems at scale; Lead containerization strategies using Docker and manage complex deployments via Kubernetes (EKS/ECS) with a focus on reliability, scalability, and performance; Design and implement event-driven architectures using Kafka or similar streaming platforms for real-time data processing and AI inference; Take full ownership of end-to-end delivery from technical scoping and architecture design through production deployment, monitoring, optimization, and ongoing operational excellence
• Stakeholder Engagement & Technical Translation: Serve as the senior technical point of contact and trusted advisor for business stakeholders during AI deployments
• Field Insights & Platform Feedback: Champion continuous improvement by bringing strategic learnings from field deployments back to the core AI/Data and Platform teams; Identify opportunities to improve tools, infrastructure, and reusable components that benefit the broader organization; Author and maintain comprehensive documentation including solution architectures, design patterns, and operational runbooks that enable knowledge transfer and accelerate future deployments
• Bachelor's degree in Computer Science, Software Engineering, Data Science or related field required; Master's degree preferred but not required

• AWS certifications (Solutions Architect, Developer Associate, Machine Learning Specialty)
• Kubernetes certifications (CKA, CKAD)
• Relevant AI/ML or cloud certifications
• 6-8+ years of software engineering experience with a focus on backend/full-stack development
• 4+ years deploying AI/ML solutions in production environments
• Led/architected 3+ production AI systems
• Strong hands-on experience with Docker, Kubernetes, and cloud-native architectures
• Experience building and operating event-driven or streaming data systems (Kafka, Kinesis)
• Track record of delivering technical solutions in ambiguous, fast-moving environments
• Track record leading technical engagements with senior/executive stakeholders
• Mentored junior engineers; Led cross-functional delivery teams

• Experience in a Forward Deployed Engineer, Solutions Engineer, or Technical Consultant role
• Experience building generative AI applications, LLM integrations, or agentic AI solutions
• Background in travel, hospitality, or cruise industry
• Experience with shipboard or distributed/disconnected computing environments
• Contributions to platform engineering, developer tooling, or infrastructure automation