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Senior Data & AI Analyst

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Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Apply at Ffive

Posting record

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Open 3 monthsWe first saw this posting 108 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 28, 2026108 days ago
Recorded sightings
246
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 108

Up longer than most. Similar jobs usually come down between day 4 and day 77.

Well past Ffive’s usual: its jobs come down by about day 39.

From 51 similar postings that came down, and 13 of Ffive’s. Coming down is not always a hire.

Ffive is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • TypeScript
  • AWS
  • Azure
  • GCP
  • Power BI
  • Snowflake
  • Spark
  • Tableau
  • React
Where the posting names them
- Experience: 6+ years of professional software engineering experience. - Software engineering: Strong full-stack development experience, including back-end (Python, plus TypeScript/Node or similar), API design, and a modern front-end framework (e.g., React). - Data engineering: SQL, data modeling, and pipelines; experience with big data platforms (e.g., Spark, Snowflake); practical machine learning experience.
- Software engineering: Strong full-stack development experience, including back-end (Python, plus TypeScript/Node or similar), API design, and a modern front-end framework (e.g., React). - Data engineering: SQL, data modeling, and pipelines; experience with big data platforms (e.g., Spark, Snowflake); practical machine learning experience. - LLM models: Strong understanding of current LLM models, integrations, prompt engineering, RAG, and tool/function calling, for example OpenAI, Claude, Gemini.
- AI delivery: Experience building and deploying AI-enabled automation, ML models, or agent workflows in a business setting. - Technical depth: Understanding of IT architecture and cloud environments (AWS, Azure, or GCP), containers, and CI/CD. - Communication: Ability to explain technical trade-offs and data-driven findings to senior stakeholders.
- Knowledge of resiliency engineering - Data visualization or dashboarding experience (Power BI, Tableau) - Advanced AI/ML or cloud certifications

Your next step

Complete your application on ffive.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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Already applied? Track this application

Has Ffive posted this job before?

Yes. We’ve followed one other Senior Data & AI Analyst job there since May 2026. It is still up.

  1. DublinStill up after 192 days, first seen May 6
  2. This jobUp 109 days so far, first seen Jul 28

About Ffive

People
About 6,578 in 2025, about the same as the year before.Annual report (SEC Form 10-K)
Company
Listed as FFIV.
H-1B visas
34 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for AI Engineer roles

New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.

Weekly new AI Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 7, the most 65, and the latest week had 65.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under AI Engineer, by the work the posting describes.

AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.

Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.

An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.

Job description

View original posting ↗

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. 
 

Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.

Position Overview
The Senior Data & AI Analyst for Resilience Assurance is a hands-on engineering role designed to embed real-time analytics and agentic AI into the organization’s assurance framework. You will build the applications, data pipelines, and AI agents that move traditional compliance monitoring toward continuous, intelligent validation of policies and standards, helping ensure resilience is maintained and strengthened as risks evolve. Resilience expertise is not required; you will work with SMEs who will help you build domain knowledge.

Key Responsibilities

  • Real-time policy validation: Build AI-driven systems that continuously monitor and validate adherence to policies, standards, and regulatory requirements, and apply AI tools to evaluate system architectures for resiliency, scalability, and compliance alignment.
  • Predictive analytics for resilience: Develop models that forecast compliance risks, resiliency gaps, and emerging vulnerabilities before they materialize.
  • Agentic AI enablement: Build and deploy autonomous AI agents to simulate resiliency scenarios, monitor controls, and recommend corrective actions in real time.
  • AI-augmented audits: Build pipelines and tooling that make compliance audits continuous and data-driven, with anomaly detection, automated reporting, and predictive insights.
  • Dynamic maturity assessments: Build AI-powered benchmarking tools to track organizational resiliency maturity and project future readiness.
  • Automated control testing: Implement AI frameworks that validate control effectiveness instantly, reducing manual overhead and increasing accuracy.
  • Full-stack delivery: Develop APIs, services, and front-end interfaces that surface analytics and AI outputs to assurance teams, with solid testing, CI/CD, monitoring, and security practices.
  • AI quality and guardrails: Implement evaluation, guardrails, and human-in-the-loop review so AI outputs are accurate, explainable, and auditable.
  • Stakeholder collaboration and roadmap: Work with technical, business, and regulatory partners to turn requirements into working solutions, explain analytics and AI results clearly, and contribute to the 3–5 year plan for embedding AI into assurance.

Required Skills & Qualifications

  • Experience: 6+ years of professional software engineering experience.
  • Software engineering: Strong full-stack development experience, including back-end (Python, plus TypeScript/Node or similar), API design, and a modern front-end framework (e.g., React).
  • Data engineering: SQL, data modeling, and pipelines; experience with big data platforms (e.g., Spark, Snowflake); practical machine learning experience.
  • LLM models: Strong understanding of current LLM models, integrations, prompt engineering, RAG, and tool/function calling, for example OpenAI, Claude, Gemini.
  • AI delivery: Experience building and deploying AI-enabled automation, ML models, or agent workflows in a business setting.
  • Technical depth: Understanding of IT architecture and cloud environments (AWS, Azure, or GCP), containers, and CI/CD.
  • Communication: Ability to explain technical trade-offs and data-driven findings to senior stakeholders.

Nice to Have

  • Understanding of resilience and compliance frameworks such as ISO 22301 and ISO 27001, and regulatory standards
  • Background in risk, audit, compliance, or IT operations
  • Knowledge of resiliency engineering
  • Data visualization or dashboarding experience (Power BI, Tableau)
  • Advanced AI/ML or cloud certifications

Desired Attributes

  • Pragmatic builder who ships working solutions and iterates
  • Fast learner who becomes effective quickly in unfamiliar domains
  • Collaborative partner who builds trust across technical, business, and regulatory domains
  • Continuous learner who stays ahead of emerging AI, analytics, and resiliency technologies

Where the Role Can Grow

  • Autonomous audits: AI agents will conduct continuous audits, reducing reliance on scheduled manual reviews.
  • Self-healing controls: Automated systems will detect and remediate compliance deviations instantly, minimizing downtime and risk exposure.
  • AI-driven regulatory reporting: Compliance reports will be generated in real time, tailored to evolving regulatory requirements.
  • Resiliency simulations: Agentic AI will run predictive simulations of disruptions (cyber, operational, environmental) to validate organizational readiness.
  • Adaptive assurance frameworks: Policies and standards will evolve dynamically, guided by AI insights and global compliance trends.
  • Human-AI collaboration: Assurance teams will shift from manual validation to oversight of AI-generated insights.

The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.

Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com).

Equal Employment Opportunity

It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination.  F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting accommodations@f5.com.

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Warsaw

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