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Remote Ai Agent Developer Jobs in Spring Hill, FL

Humana

Senior Applied AI Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

Become a part of our caring community We are looking for a highly capable Senior Applied AI Engineer to support advanced AI initiatives focused on generative AI, embeddings, and ServiceNow data

Humana

Senior Applied AI Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

Become a part of our caring community We are looking for a highly capable Senior Applied AI Engineer to support advanced AI initiatives focused on generative AI, embeddings, and ServiceNow data

Humana

Senior Applied AI Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

Become a part of our caring community We are looking for a highly capable Senior Applied AI Engineer to support advanced AI initiatives focused on generative AI, embeddings, and ServiceNow data

Worth AI

Data Platform Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

Worth AI, a leader in the computer software industry, is looking for a talented and experienced Data Platform Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize

Worth AI

Data Platform Engineer

Tampa, FL · Remote

$117K - $140K/yr

Worth AI, a leader in the computer software industry, is looking for a talented and experienced Data Platform Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize

Crowe LLP

Senior AI Solutions Consultant

Tampa, FL · On-site +1

Your Journey at Crowe Starts Here: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you're trusted to deliver results and make an

Crowe LLP

Senior AI Solutions Consultant

Tampa, FL · On-site +1

Your Journey at Crowe Starts Here: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you're trusted to deliver results and make an

Crowe LLP

AI Solutions Consulting Lead

Tampa, FL · On-site +1

Your Journey at Crowe Starts Here: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you're trusted to deliver results and make an

ShyftOff

ASC - Agent Success Coordinator

Tampa, FL · Remote

$60K - $65K/yr

About ShyftOff ShyftOff is the workforce delivery platform that makes contact center operations radically simpler. We combine automation, analytics, and top global talent to help companies run

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All JobsAi Agent Developer JobsRemote Ai Agent Developer JobsRemote Ai Agent Developer Jobs in Spring Hill, FL

Remote Ai Agent Developer information

See Spring Hill, FL salary details

$24.6K

$40.7K

$84.4K

How much do remote ai agent developer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for remote ai agent developer in Spring Hill, FL is $40,664.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,800.00 and $43,300.00 per year, depending on experience, location, and employer.

What is the difference between Remote Ai Agent Developer vs Remote Chatbot Developer?

AspectRemote Ai Agent DeveloperRemote Chatbot Developer
Required SkillsAI, machine learning, NLP, programmingChatbot platforms, scripting, UI design
Work EnvironmentAI development teams, tech companiesCustomer service, tech firms, startups
Industry UsageAI-driven virtual assistants, complex AI systemsCustomer support bots, simple conversational interfaces

Remote Ai Agent Developers focus on creating advanced AI-powered virtual assistants using machine learning and NLP, often working on complex AI systems. In contrast, Remote Chatbot Developers typically build conversational interfaces for customer support or marketing, emphasizing scripting and UI design. While both roles involve AI and programming, the scope and complexity differ, with Ai Agent Developers working on more sophisticated AI solutions.

What are Remote AI Agent Developers?

Remote AI Agent Developers are software professionals who design, build, and maintain artificial intelligence agents while working from a remote location. These developers use programming languages, machine learning frameworks, and AI technologies to create systems that can perform tasks autonomously or assist users. Their work may include developing chatbots, virtual assistants, recommendation engines, or other intelligent systems. Working remotely allows them to collaborate with teams and clients worldwide, often using cloud-based tools and platforms.

What are some common challenges faced by Remote AI Agent Developers, and how can they be addressed?

Remote AI Agent Developers often encounter challenges such as coordinating across different time zones, ensuring smooth communication with distributed teams, and managing project dependencies asynchronously. To address these, it's important to use collaborative tools (like Slack, GitHub, or Jira), schedule regular check-ins, and document development processes thoroughly. Building strong relationships through proactive communication and adopting agile practices can also help streamline workflows and maintain productivity in a remote setting.

What are the key skills and qualifications needed to thrive as a Remote AI Agent Developer, and why are they important?

To thrive as a Remote AI Agent Developer, you need a strong background in computer science, machine learning, and programming languages such as Python, along with experience in developing and deploying AI models. Proficiency with AI frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and familiarity with version control systems is typically required. Exceptional problem-solving skills, self-motivation, and effective remote communication help you collaborate and deliver results in distributed teams. These skills ensure the successful creation, deployment, and maintenance of intelligent agents that meet organizational goals in a remote work environment.
What are the most commonly searched types of Ai Agent Developer jobs in Spring Hill, FL? The most popular types of Ai Agent Developer jobs in Spring Hill, FL are:
What are popular job titles related to Remote Ai Agent Developer jobs in Spring Hill, FL? For Remote Ai Agent Developer jobs in Spring Hill, FL, the most frequently searched job titles are:
What job categories do people searching Remote Ai Agent Developer jobs in Spring Hill, FL look for? The top searched job categories for Remote Ai Agent Developer jobs in Spring Hill, FL are:
What cities near Spring Hill, FL are hiring for Remote Ai Agent Developer jobs? Cities near Spring Hill, FL with the most Remote Ai Agent Developer job openings:
Remote Ai Agent Developer jobs near you
Infographic showing various Remote Ai Agent Developer job openings in Spring Hill, FL as of July 2026, with employment types broken down into 69% Full Time, 15% Part Time, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $40,664 per year, or $19.6 per hour.
AI Governance & Explainability Engineer

AI Governance & Explainability Engineer

Arbitration Forums Inc.

Tampa, FL • Remote

Full-time

Posted 6 days ago

Job description

DEPARTMENT: Data Insights and Innovation

JOB TITLE: AI Governance & Explainability Engineer

JOB CODE: AIGEE

REPORTS TO: Data Governance Lead

FLSA STATUS: Exempt

EMPLOYMENT TYPE: Full-Time


JOB PURPOSE:

This role at Arbitration Forums is as unique as it is rewarding because of the AF IPAAL Values (Integrity, Passion, Accountability, Achievement, Leadership) and TRI Model (Trust, Respect, Inclusion).

The AI Governance & Explainability Engineer is a hands‑on technical role within the Data Governance team responsible for ensuring AI, GenAI, and Agentic AI solutions are explainable, governable, auditable, and production‑ready.

This role embeds governance directly into the AI technology stack, translating policies, regulatory expectations, and risk requirements into technical controls, automated checks, standardized artifacts, and release gates across the AI lifecycle.

The role combines AI/ML engineering depth, GenAI & Agentic AI design knowledge, and governance discipline to ensure AI solutions deliver explainability, can be trusted, defended, and audited in production, particularly within the Microsoft Fabric and Purview ecosystem.


DEPARTMENTAL EXPECTATION OF EMPLOYEE


Adheres to AF Policy and Procedures and the AF IPAAL Values and TRI Model

  • Acts as a role model within and outside AF.
  • Performs duties as workload necessitates.
  • Maintains a positive and respectful attitude.
  • Communicates regularly with the departmental leader about department issues.
  • Demonstrates flexible and efficient time management and ability to prioritize workload.
  • Consistently reports to work on time, prepared to perform duties of the position.
  • Meets Department productivity standards.


ESSENTIAL DUTIES AND RESPONSIBILITIES

  • AI Governance by Design Engineering (Execution Focus not Policy writing)
    • Embed governance, explainability, and risk controls directly into AI, GenAI, and Agentic AI workflows
    • Translate enterprise AI policies, standards, and Responsible AI principles into:
      • Technical guardrails
      • Automated checks
      • Required evidence artifacts
      • CI/CD release gates
    • Implement governance as code and automation, eliminating reliance on manual or after-the-fact reviews.
  • AI Governance, Explainability & Human Oversight
    • Advise solution teams on explainability requirements for automated, semi-automated, and decision-support AI systems.
    • Ensure human-in-the-loop (HITL) controls are implemented where required by risk level or use case.
    • Define, generate, and manage explainability outputs that are:
      • Appropriate to the end-user or reviewer persona
      • Aligned to the decision context and operational use
    • Document explainability assumptions, limitations, and residual risk as governance evidence.
  • Metadata, Lineage & Governance Evidence Management
    • Operationalize AI Governance in Microsoft Purview by registering and maintaining:
      • AI models, features, prompts, agents, notebooks, and pipelines
    • Maintain end to end lineage across:
      • Data → features → models → inferences → outputs
      • Apply ownership, stewardship, sensitivity, and classification metadata.
    • Ensure governance is maintained:
      • Discoverable
      • Versioned
      • Traceable
      • Audit-defensible
  • GenAI & Agentic AI Governance Enablement
    • Apply governance patterns to LLMs, RAG, and Agentic AI solutions
    • Ensure governance traceability when synthetic data or augmented data is used for training, testing, or evaluation.


  • Implement Agentic AI lifecycle governance, including:
    • Observability of agent actions, deviations, and failures
    • Oversight of planning, reflection, and tool-use behavior
    • Controls on autonomous vs. constrained operation
  • Enable GenAI explainability, including:
    • Retrieval transparency for RAG (sources, relevance)
    • Inference context documentation
    • Decision trace generation where applicable
  • Explainability, Interpretability & Model Risk Controls
    • Own and operate explainability capabilities used for governance, audit, and trust.
    • Implement and operationalize techniques such as:
      • Feature attribution (e.g., SHAP or equivalent)
      • Driver and proxy detection
      • Global and local model explanations
    • Identify bias signals, risk indicators, and explainability gaps.
    • Store and manage explainability and observability outputs as governed, audit-ready artifacts.
    • Support audit, compliance, and risk review activities with defensible evidence.
  • Monitoring, Observability & Incident Readiness
    • Define and implement AI monitoring metrics, alerts, and thresholds for:
      • Performance degradation
      • Bias and ethical risk indicators
      • Drift and instability
    • Partner with MLOps and platform teams to integrate monitoring into production pipelines.
    • Support AI incident response and post-incident reviews with governance evidence.
    • Ensure all observability outputs are retained, traceable, and audit‑ready.
  • Governance Checkpoints & Release Gating
    • Define and enforce governance checkpoints within CI/CD pipelines (DEV-> TEST/UAT -> PROD).
    • Implement automated release checks for:
      • Required documentation and evidence artifacts
      • Explainability artifacts
      • Monitoring configuration
      • Data usage, lineage completeness, and medallion-layer alignment
    • Partner with Engineering and MLOps teams on promotion decisions while owning governance readiness, not platform approval.

QUALIFICATIONS

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related field.
  • Minimum 7 years of experience in AI/ML engineering, data science, GenAI/LLMs, NLP, Agentic AI, data governance, or related roles.
  • Demonstrated experience operationalizing AI governance, explainability, and risk controls in production environments.
  • Deep understanding of Agentic AI architectures and lifecycle considerations.

Technical Skills

  • Strong proficiency in Python with hands‑on experience in AI/ML engineering workflows.
  • Working knowledge of Microsoft Fabric (Lakehouse, OneLake, notebooks, pipelines).
  • Experience with Microsoft Purview (catalog, lineage, classification, ownership).

Experience with AI/ML and GenAI tooling, including:

  • Azure AI Foundry / Azure ML
  • ML explainability libraries (e.g., SHAP)
  • LLMs, RAG architecture, and prompt engineering
  • Familiarity with Agentic AI frameworks and patterns (e.g., tool use, planning, reflection).
  • Experience integrating governance controls into CI/CD pipelines using GitHub or Azure DevOps.
  • Understanding of cloud platforms (Azure preferred; AWS/GCP a plus
  • Experience producing audit‑ready technical documentation and evidence artifacts.
  • Familiarity with reporting and visualization tools (e.g., Power BI) for governance and monitoring views.

Soft Skills

  • Strong analytical and problem‑solving abilities, particularly in risk‑based decision‑making.
  • Excellent written and verbal communication skills, with the ability to translate technical details into governance‑relevant insights.
  • Ability to lead governance execution initiatives and influence cross‑functional teams without direct authority.
  • Strong organizational skills with attention to detail and audit readiness.
  • Auto insurance or claims industry experience preferred.

Preferred Qualifications

  • Experience evaluating or governing model training approaches (e.g., NLP, generative models) without owning full training pipelines.
  • Familiarity with synthetic data governance (generation methods, limitations, risk documentation).
  • Experience with additional AI platforms (Databricks AI, Snowflake Cortex, Dataiku).
  • Experience in regulated industries (insurance, financial services, healthcare).


AMERICANS WITH DISABILITY SPECIFICATIONS


PHYSICAL DEMANDS

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; climb stairs; balance; stoop, kneel, crouch, or crawl; talk or hear; taste or smell. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.


WORK ENVIRONMENT [Standard language tied to each job description]

This is a fully remote position requiring reliable high-speed internet access and a dedicated workspace.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.