Search for AI Engineer roles in Florida, focusing on positions that involve strong architecture experience, with a background in NLP, and are open to remote flexibility.

Okay, I've searched for AI Engineer roles in Florida that require strong architecture experience and a background in NLP, with an option for remote flexibility. I have found 62 positions for you.

AI Engineer

Florida, United States

NLP

Senior

Remote

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Artificial Intelligence Engineer role at Harvey Nash is fundamentally about bridging the divide between advanced AI research and practical applications in clinical settings. Aimed at optimizing patient outcomes, this position focuses on architecting and delivering scalable AI and data features that support clinical workflows. Key responsibilities include overseeing the deployment of extensive AI and machine learning systems, translating experimental tools into secure production environments, and managing robust data pipelines. Candidates will also have to collaborate closely with AI research teams to align experimental models with operational needs, indicating a strong emphasis on cross-functional collaboration and communication. Problems encountered may range from technical challenges in data pipeline management to navigating the complexities of health data compliance. Success in this role looks like the smooth integration and performance of AI-driven features that provide actionable insights for healthcare providers, ultimately leading to enhanced patient care and satisfaction.

Company Analysis:

Harvey Nash is a notable player in the tech recruitment industry, established in 1988, with a strong global presence across multiple continents. The company focuses on building exceptional technology teams and facilitating recruitment solutions, establishing itself as a reliable partner for both candidates and clients. Given its market positioning, the AI Engineer role is not just a technical hire; rather, it holds significant importance in delivering cutting-edge technology solutions that align with the company's mission of providing competitive advantages to its clients. The culture at Harvey Nash appears to be collaborative and innovation-driven, which will suit candidates who thrive in environments that value open communication and fairness. This is crucial for the role, as it requires constant collaboration with diverse teams and mentoring opportunities. The role likely fits within a larger organizational structure that encourages cross-functional interaction, potentially offering visibility to leadership, given its strategic importance in AI advancements within healthcare. The company's emphasis on recruitment solutions and the innovative approach further signals that the AI Engineer's contributions are essential in maintaining their reputation and expanding their service capabilities.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to manage a complex data pipeline in a production environment. What challenges did you face, and how did you overcome them?
Describe an experience where you had to translate research-driven AI tools into a practical application. What was your approach?
Can you share a past situation in which you had to mentor a team on best practices in AI production? How did you ensure the knowledge transfer was effective?
How have you ensured compliance and security in past projects involving sensitive health data?
What steps would you take to architect a scalable AI system for a clinical workflow? Can you walk us through your thought process?
What methods or tools do you use for data pipeline orchestration? Why do you prefer those?
How would you approach troubleshooting a data pipeline that has failed in a live environment?
Imagine you are tasked with deploying an AI feature that doesn't provide the expected clinical insights. What would be your immediate steps?
Why are you interested in working at Harvey Nash specifically, and how does this align with your career goals?
What do you believe are the most important qualities for an AI Engineer working in the healthcare sector?
What excites you about the potential applications of AI in clinical settings, and how do you see yourself contributing to that field?
How do you stay updated on the latest developments in AI and machine learning technologies, and how do you incorporate new knowledge into your work?
What questions do you have regarding the team you would be joining or the specific challenges they are currently facing?

Job Details

Overview Company

AI Engineer

Harvey Nash

13 hours ago

Highlight

HybridFull-timeMid

Summary

Harvey Nash is seeking an Artificial Intelligence Engineer to join their team in Florida, United States. The role involves leading the architecture and delivery of AI and data features supporting clinical workflows and insights.

About the Role

As an AI Engineer, you will architect and lead the deployment of large-scale AI/ML systems used in clinical health settings, including productionizing research models and operationalizing data workflows. You will collaborate with AI research teams to translate experimental NLP/LLM tools into secure, scalable, compliant production systems. Additionally, you will build and manage robust, scalable data pipelines feeding AI-driven analytics and session insights to providers. You will lead infrastructure decisions across cloud platforms (GCP, Azure) ensuring performance, security, and compliance with health data regulations. Mentoring engineering teams on best practices in AI production, data governance, and system monitoring will also be part of your responsibilities. You will work with product managers to ensure AI features deliver actionable clinical insights and improved patient outcomes.

About You

Required:

Proven architecture of production AI/ML systems, experience leading particularly operationalizing data pipelines at scale.
Hands-on with cloud data platforms (e.g., BigQuery, Azure Synapse, Databricks); experience with Airflow or equivalent pipeline orchestration tools.
Strong background in AI/ML (NLP, LLMs preferred), with practical experience bridging research and production.
Familiarity with security and compliance standards (e.g., SOC2, PIPEDA, HIPAA).
Experience working in regulated or sensitive data environments.

Harvey Nash

We’re Harvey Nash, and we build amazing technology and digital teams. From senior appointments through to recruitment and project solutions, we are experts in the tech sector.

Established in 1988, we have helped over half the world’s leading companies recruit, retain, source and manage the highly skilled tech talent they need to succeed in an increasingly competitive, global and technology driven world.

With over 3.300 staff in more than 49 offices across Europe, Asia-Pacific and the U.S and Canada, we have built a reputation amongst candidates and clients alike for our innovative, open and fair approach to business. We work with clients, both big and small, to deliver a range of key recruitment solutions including Executive Search & Interim, Permanent and Contractor Recruitment, Direct Sourcing, MSP & VMS Partnership, NextGen – our Hire Train Deploy solution through to broader workforce solutions.

You can find out more about us, our recruitment solutions, our people and our insights at www.harveynash.com.