AI Engineer

Job Description

Forward Deployed AI Engineer

Location: Broward Health – Fort Lauderdale, FL (Hybrid/Onsite Preferred)

Computer Education

Work Type: Contract long-term, multi-year engagement or convert permanent

Start Date: ASAP

Job Overview

Broward Health is seeking a Forward Deployed AI Engineer to serve as the bridge between business stakeholders and technology teams. This individual will work directly with operational, clinical, and administrative leaders to understand business processes, gather requirements, identify opportunities for AI-driven automation, and design solutions that improve efficiency and patient outcomes. This role combines consulting, solution architecture, and hands-on AI engineering. The ideal candidate is comfortable working with both executives and technical teams while building and deploying AI-powered solutions, including Generative AI applications, AI agents, and workflow automation platforms.

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Key Responsibilities

• Business Discovery & Requirements Gathering: Meet with stakeholders to understand workflows; facilitate discovery sessions; analyze processes for automation opportunities; translate business requirements into technical AI solutions; present recommendations to leadership.
• AI Solution Design & Development: Design enterprise AI solutions using LLMs; build Generative AI applications; develop AI agents and agentic workflows; create RAG solutions with vector databases; design APIs and integrations.
• Agentic AI & Workflow Automation: Deploy autonomous/semi-autonomous AI agents; design multi-agent orchestration; develop prompt engineering and context management; implement evaluation frameworks for accuracy, latency, and performance; establish AI guardrails and responsible AI practices.
• Enterprise AI Strategy: Partner with engineering, infrastructure, security, and data teams; contribute to long-term AI roadmap; support AI governance, security, and compliance; drive AI adoption and change management.
  
  

Required Qualifications

• 5 years in software engineering, solution architecture, consulting, or related roles.
• Experience gathering business requirements and working directly with stakeholders.
• Experience designing and implementing enterprise technology solutions.
• Hands-on experience with AI, Machine Learning, or Generative AI solutions.
• Strong programming experience with Python.
• Experience with: LLMs, Prompt Engineering, Agentic AI, RAG Architectures, Vector Databases, APIs and Enterprise Integrations.
• Experience with cloud platforms (Azure, AWS, or GCP).
• Excellent communication and presentation skills; ability to translate technical concepts for non-technical stakeholders.
  
  

Preferred Qualifications

• Healthcare industry experience.
• Experience with Epic or other EHR platforms.
• Understanding of HIPAA, PHI, and healthcare regulatory requirements.
• Experience with: LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, Microsoft Copilot Studio.
• Experience supporting AI governance and responsible AI initiatives.
• Experience leading technical projects or mentoring engineers.
  
  

What Makes Someone Successful in This Role

• Strong business acumen and ability to understand complex workflows.
• Comfortable working directly with executives and department leaders.
• Ability to identify opportunities where AI can create measurable business value.
• Strong communication and stakeholder management skills.
• Ability to move from strategy discussions into hands-on implementation.
• Self-starter who thrives in ambiguous environments.
• Strong problem-solving and consulting mindset.
• Passion for AI innovation and operational transformation.