AI Forward Deployment Engineer

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

Certifications (required at least 1):

• 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

Preferred Experience:

• 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

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.