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Ai Platform Engineer Jobs in Florida (NOW HIRING)

Data & AI Platform Engineer

Boca Raton, FL

$108K - $130K/yr

Minimum 2 years in a data engineering, platform engineering, analytics engineering, or cloud ... Demonstrated experience with AI/ML/GenAI enablement (model lifecycle, AI Search, Azure OpenAI ...

New

AI Platform Production Engineer At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the ...

$88K - $115K/yr

The Lead AWS AI Platform Engineer is responsible for enabling and advancing enterprise AI and machine learning capabilities within a secure, governed, and scalable technology environment across the ...

AI Platform Production Engineer At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the ...

Senior Software Engineer, AI Platform

Orlando, FL · On-site

$140.54 - $223.21/hr

Senior Software Engineer, AI Platform Location: Orlando HQ - Remote, FL Job Id: 677 # of Openings: 2 Salary Range: $140,541 - $223,212 per year Employment Type: Full-time About the role: Fortress ...

Design, build, and maintain scalable AI/ML platforms using AWS services including SageMaker, Amazon Bedrock, Bedrock Agent Core, Amazon Q Developer and Kiro. * Manage and optimize AWS EMR clusters ...

Design, build, and maintain scalable AI/ML platforms using AWS services including SageMaker, Amazon Bedrock, Bedrock Agent Core, Amazon Q Developer and Kiro. * Manage and optimize AWS EMR clusters ...

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Ai Platform Engineer information

See Florida salary details

$24

$47

$70

How much do ai platform engineer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for ai platform engineer in Florida is $47.79, according to ZipRecruiter salary data. Most workers in this role earn between $37.74 and $55.14 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

What are the key skills and qualifications needed to thrive as an AI Platform Engineer, and why are they important?

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.

What job categories do people searching Ai Platform Engineer jobs in Florida look for?

The top searched job categories for Ai Platform Engineer jobs in Florida are:

What cities in Florida are hiring for Ai Platform Engineer jobs?

Cities in Florida with the most Ai Platform Engineer job openings:

Infographic showing various Ai Platform Engineer job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $99,409 per year, or $47.8 per hour.

Data & AI Platform Engineer

Armaninollp

Boca Raton, FL

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Job description

At Armanino, you determine your career path. This means it's possible to pursue challenges you are passionate about, in industries you care about.

Armanino is proud to be among the top 20 Largest Accounting and Consulting Firms in the Nation and one of the Best Places to Work. We have a community of resources that are ready and willing to support your ideas, build your skills and expand your professional network. We want you to integrate all aspects of your life with your career. At Armanino, we know you don't check-out of life when you check-in at work. That's why we've created a unique work environment where your passions, work, and family & friends can overlap. We want to help you achieve growth by giving you access to a network of smart and supportive people, willing to listen to your ideas.

This is an early-career engineering role focused on building, operating, and improving cloud data/analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and supporting BI delivery (e.g., Power BI, Tableau). You'll contribute to platform reliability, CI/CD, environment setup, and operational runbooks-while learning best practices in security, governance, and deployment automation from senior engineers.

Job Responsibilities

Platform Operations & Enablement
  • Support day-to-day operations for cloud data platforms (workspace/project setup, access requests, basic configuration, troubleshooting).

  • Assist with platform hygiene: organizing environments, documenting standards, and improving repeatability.

  • Help implement and maintain guardrails (naming/tagging conventions, access patterns, basic cost awareness).

DevOps & Deployment Support
  • Contribute to CI/CD workflows for data and analytics assets (pipelines, jobs, semantic models, reports), under mentorship.

  • Help maintain reusable templates/checklists for deployments (approvals, promotion steps, rollback notes, release documentation).

Data/Analytics Tooling Support
  • Assist teams with onboarding and "how-to" enablement across a core platform (Fabric or Snowflake or Databricks) plus a BI tool (Power BI or Tableau).

  • Support basic performance triage (query/job failures, refresh issues, common workspace capacity constraints) and escalate effectively when needed.

Reliability, Monitoring, and Runbooks
  • Help build and maintain runbooks (standard operating procedures, known issues, quick fixes, escalation paths).

  • Participate in incident response support (triage, notes, follow-ups) and contribute to preventative improvements.

Security & Governance
  • Follow and reinforce least-privilege access practices and secure secret handling (e.g., Key Vault/secret scopes where applicable).

  • Assist with data governance basics (PII handling expectations, row-level access concepts, environment separation).

Requirements
  • Minimum 2 years in a data engineering, platform engineering, analytics engineering, or cloud operations role (internships/co-ops count).

  • Minimum 1 year of representative accounting experience whether implementing systems, or any direct accounting roles. Note this is an important requirement. Candidates that understand accounting systems will have a significant edge in pursuit of this role.

  • Comfort with one or more of the following areas (not all):

  • A cloud data platform: Snowflake (preferred) or Microsoft Fabric or Databricks

  • A BI platform: Power BI or Tableau

  • CI/CD concepts (Git, branching/PRs, basic pipelines)

  • Basic scripting capability in Python or PowerShell (or willingness to learn quickly).

  • Strong troubleshooting mindset: can break problems down, gather evidence, and communicate clearly.

  • Ability to document what you learned (runbooks, checklists, short "how-to" guides).

  • Exposure to cloud concepts: identity/access, resource organization, logging/monitoring.

  • Familiarity with SQL and performance basics (indexes/partitioning concepts, query plans at a high level).

  • Understanding of data governance concepts (PII, RLS/CLS, environment separation).

  • Any relevant certs (Azure fundamentals, Snowflake, Databricks, etc)

  • Demonstrated experience with AI/ML/GenAI enablement (model lifecycle, AI Search, Azure OpenAI integration, or MLOps).

"Armanino" is the brand name under which Armanino LLP and Armanino Advisory LLC, independently owned entities, provide professional services in an alternative practice structure in accordance with law, regulations, and professional standards. Armanino LLP is a licensed independent CPA firm that provides attest services, and Armanino Advisory LLC and its subsidiary entities provide tax, advisory, and business consulting services. Armanino Advisory LLC and its subsidiary entities are not licensed CPA firms.

Armanino provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Armanino complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Armanino expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Armanino employees to perform their job duties may result in discipline up to and including discharge.

Armanino does not accept unsolicited candidates, referrals, or resumes from any staffing agency, recruiting service, sourcing entity, or third-party paid service at any time. Any referrals, resumes, or candidates submitted to Armanino or any employee or owner of Armanino without a pre-existing agreement signed by both parties covering the submission will be considered the property of Armanino and not subject to any fees or charges. For existing agreements, a role must be approved and open to external search; otherwise, unsolicited and unapproved submittals and referrals will be considered Armanino property and free of fees. In addition, Talent Acquisition is the sole point of contact, and contacting others in our organization without Talent Acquisition's knowledge will result in termination of contract.

Certain states require us to disclose the pay range and benefits summary for job openings. For Colorado residents, the compensation range for this position: $91,300 - $124,400. For Washington residents, Illinois residents, New York residents, and Southern California residents, the compensation range for this position: $100,400 - $136,900. For Northern California residents, the compensation range for this position: $105,000 - $143,000. Compensation may vary based on skills, role, and location. Eligible employees at certain levels can participate in a discretionary long-term financial incentive plan, subject to plan participation rules.

Armanino has a robust offering of benefits, including:

  • Medical, dental, vision

  • Generous PTO plan and paid sick time

  • Flexible work arrangements

  • 401K with Profit Sharing

  • Wellness program

  • Generous parental leave

  • 11 paid holidays

For positions based in San Francisco, consistent with the SF Fair Chance Ordinance, an arrest and conviction record will not automatically disqualify a qualified applicant from consideration.

For Individuals who would be working within the City of Los Angeles, Armanino will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance

To view our Consumer Notice at Collection for job applicants, please visit: https://www.armanino.com/terms/ccpa-employee-notice/

We have a community of resources that are ready and willing to support your ideas, build your skills and expand your professional network.