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Intelligent Automation Jobs in Florida (NOW HIRING)

This leader will shape how customers interact with our solutions, driving innovation in user experience, workflow efficiency, and intelligent automation. This role is ideal for a product leader who ...

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Intelligent Automation information

See Florida salary details

$27.6K

$80.1K

$121.8K

How much do intelligent automation jobs pay per year?

As of Sep 3, 2026, the average yearly pay for intelligent automation in Florida is $80,055.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $92,300.00 per year, depending on experience, location, and employer.

What is an intelligent automation?

An Intelligent Automation job involves designing, developing, and implementing automation solutions that combine artificial intelligence (AI), robotic process automation (RPA), and other advanced technologies to streamline business operations. Professionals in this field analyze workflows, identify automation opportunities, and create systems that improve efficiency, reduce errors, and enhance decision-making. They work with AI models, bots, and data analytics to optimize processes across various industries. This role often requires expertise in programming, machine learning, and process optimization.

What are the key skills and qualifications needed to thrive in intelligent automation?

To thrive in Intelligent Automation, you need a solid background in process analysis, business process management, and programming or scripting skills, typically backed by a degree in engineering, computer science, or a related field. Experience with Robotic Process Automation (RPA) platforms such as UiPath or Blue Prism, as well as knowledge of machine learning and AI technologies, is highly beneficial, and certifications in these tools are often preferred. Strong problem-solving abilities, analytical thinking, and effective communication are essential soft skills for working across departments and translating business needs into technical solutions. These competencies are crucial for driving successful automation initiatives that improve efficiency, reduce errors, and add value to organizations.

What are some of the typical challenges faced in an intelligent automation role?

Professionals in Intelligent Automation roles frequently encounter challenges such as identifying the right processes for automation, managing changing business requirements, and ensuring seamless integration with existing IT infrastructure. Navigating organizational change and gaining buy-in from stakeholders are also common hurdles, as automation can significantly impact workflows and job roles. Successful practitioners typically work closely with business analysts, IT teams, and process owners to address these issues and implement scalable solutions. Overcoming these challenges requires a mix of technical expertise, adaptability, and strong interpersonal skills, all of which contribute to delivering impactful automation outcomes.

What are the most commonly searched types of Intelligent Automation jobs in Florida?

The most popular types of Intelligent Automation jobs in Florida are:

What job categories do people searching Intelligent Automation jobs in Florida look for?

The top searched job categories for Intelligent Automation jobs in Florida are:

What cities in Florida are hiring for Intelligent Automation jobs?

Cities in Florida with the most Intelligent Automation job openings:

Infographic showing various Intelligent Automation job openings in Florida as of August 2026, with employment types broken down into 8% Internship, and 92% Full Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $80,055 per year, or $38.5 per hour.

Information Technology_USA - USA_Developer

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

This job post has expired today. Applications are no longer accepted.


Job description

**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
: -/hr
MSP Owner: Kelly Gosciminski
Location: Phoenix, AZ - onsite
Duration: 6 months
skill id: 10777590
Architecture Review, GenAI
"Architecture Decision Records (ADRs) and Security Architecture Review Board (SARB) submissions. The role
blends deep technical acumen with emerging expertise in Generative AI (GenAI)and Agentic systems,
ensuring secure design, governance, and responsible adoption of intelligent automation within the enterprise"
"Architecture Review & Advisory Lead security reviews of solution and domain architectures, ADRs, and
AI-enabled platforms.
- Assess GenAI and agentic solution designs for model security, data protection, prompt integrity,
provenance, and safe orchestration of agents.
- Evaluate proposals for alignment with enterprise standards, regulatory expectations, and risk tolerance.
- Produce actionable review comments with traceable recommendations, covering both traditional and
AI-driven architectures.
- Authoring & Governance Author and maintain ADRs, patterns, and reference architectures-including
those covering GenAI system integration, LLM usage, and multi-agent frameworks.
- Ensure architectural documentation expresses the problem space, options, controls, and trade-offs
clearly and defensibly.
- Promote structured architectural reasoning supported by both human and GenAI-assisted analysis
workflows.
- GenAI & Agentic Security - Define and assess controls for GenAI systems, including:Model access, data
boundary, and prompt injection defenses.
- Guardrails for AI agents performing autonomous actions or multi-step reasoning.
- Secure orchestration, isolation, and human oversight mechanisms.
- Evaluate the security of agent frameworks, LLM pipelines, and model-hosting platforms (e.g., Vertex AI, Azure OpenAI). - Contribute to enterprise policy for responsible AI use and GenAI-assisted development. - Technical LeadershipProvide domain expertise in application, cloud, and data security-augmented by AI security design considerations. - Support teams in safely embedding GenAI copilots, RAG systems, and autonomous agents within business processes. - Lead threat modeling for composite systems where GenAI interacts with APIs, data stores, and user environments. - Continuous Improvement & Automation Use and refine GenAI tools for document review, security design assistance, and ADR quality assurance. - Develop reusable prompts, review heuristics, and decision frameworks that enhance SARB throughput and consistency. - Mentor peers in human-AI collaborative authoring, emphasizing accountability and verification of AI output. - Core Competencies Enterprise security architecture (SABSA, TOGAF, NIST CSF). - GenAI systems architecture, LLM lifecycle, and model governance. - AI security patterns (threat modeling for LLMs, data leakage prevention, agent control). - Strong authorship and analytical writing-clear articulation of decisions and consequences. - Familiarity with tools for architectural diagramming, review automation, and GenAI-assisted design (e.g., LangChain, OpenAI GPT, Guardrails AI). - Broad experience across cloud, data, application, and API security domain"
Threat Modelling, DevSecOps, AI/M
Role Descriptions: Architecture Decision Records (ADRs) and Security Architecture Review Board (SARB) submissions. The role blends deep technical acumen with emerging expertise in Generative AI (GenAI)and Agentic systems| ensuring secure design| governance| and responsible adoption of intelligent automation within the enterpriseRoles & Responsibilities-Architecture Review & Advisory Lead security reviews of solution and domain architectures| ADRs| and AI-enabled platforms.-Assess GenAI and agentic solution designs for model security| data protection| prompt integrity| provenance| and safe orchestration of agents.-Evaluate proposals for alignment with enterprise standards| regulatory expectations| and risk tolerance.-Produce actionable review comments with traceable recommendations| covering both traditional and AI-driven architectures.-Authoring & Governance Author and maintain ADRs| patterns| and reference architecturesincluding those covering GenAI system integration| LLM usage| and multi-agent frameworks.-Ensure architectural documentation expresses the problem space| options| controls| and trade-offs clearly and defensibly.-Promote structured architectural reasoning supported by both human and GenAI-assisted analysis workflows.-GenAI & Agentic Security - Define and assess controls for GenAI systems| including:Model access| data boundary| and prompt injection defenses.-Guardrails for AI agents performing autonomous actions or multi-step reasoning.-Secure orchestration| isolation| and human oversight mechanisms.-Evaluate the security of agent frameworks| LLM pipelines| and model-hosting platforms (e.g.| Vertex AI| Azure OpenAI).-Contribute to enterprise policy for responsible AI use and GenAI-assisted development.-Technical LeadershipProvide domain expertise in application| cloud| and data securityaugmented by AI security design considerations.-Support teams in safely embedding GenAI copilots| RAG systems| and autonomous agents within business processes.-Lead threat modeling for composite systems where GenAI interacts with APIs| data stores| and user environments.-Continuous Improvement & Automation Use and refine GenAI tools for document review| security design assistance| and ADR quality assurance.-Develop reusable prompts| review heuristics| and decision frameworks that enhance SARB throughput and consistency.-Mentor peers in human-AI collaborative authoring| emphasizing accountability and verification of AI output.-Core Competencies Enterprise security architecture (SABSA| TOGAF| NIST CSF).-GenAI systems architecture| LLM lifecycle| and model governance.-AI security patterns (threat modeling for LLMs| data leakage prevention| agent control).-Strong authorship and analytical writingclear articulation of decisions and consequences.-Familiarity with tools for architectural diagramming| review automation| and GenAI-assisted design (e.g.| LangChain| OpenAI GPT| Guardrails AI).-Broad experience across cloud| data|
Essential Skills: Architecture Decision Records (ADRs) and Security Architecture Review Board (SARB) submissions. The role blends deep technical acumen with emerging expertise in Generative AI (GenAI)and Agentic systems| ensuring secure design| governance| and responsible adoption of intelligent automation within the enterpriseRoles & Responsibilities-Architecture Review & Advisory Lead security reviews of solution and domain architectures| ADRs| and AI-enabled platforms.-Assess GenAI and agentic solution designs for model security| data protection| prompt integrity| provenance| and safe orchestration of agents.-Evaluate proposals for alignment with enterprise standards| regulatory expectations| and risk tolerance.-Produce actionable review comments with traceable recommendations| covering both traditional and AI-driven architectures.-Authoring & Governance Author and maintain ADRs| patterns| and reference architecturesincluding those covering GenAI system integration| LLM usage| and multi-agent frameworks.-Ensure ar, Project Code :