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Generative Ai Insurance Jobs in Mobile, AL (NOW HIRING)

Generative Ai Insurance information

What is a Generative AI Insurance professional?

A Generative AI Insurance professional specializes in developing, managing, or implementing generative artificial intelligence solutions within the insurance industry. This role involves using advanced AI models to automate processes such as underwriting, claims processing, risk assessment, and customer service. These professionals work to optimize operations and improve decision-making by leveraging machine learning and data analysis. They also help ensure that AI-driven tools comply with regulatory standards and ethical guidelines.

How does a role in Generative AI Insurance typically collaborate with underwriters and data scientists?

Professionals in Generative AI Insurance often work closely with underwriters to analyze risk profiles and automate policy generation using advanced AI models. Collaboration with data scientists is also essential, as they help develop, test, and refine algorithms that can accurately assess claims, detect fraud, and personalize insurance offerings. This cross-functional teamwork ensures that AI solutions are both technically robust and aligned with industry regulations and business goals, providing opportunities to learn from various experts and contribute to innovative insurance products.

What are the key skills and qualifications needed to thrive as a Generative AI Insurance specialist, and why are they important?

To thrive as a Generative AI Insurance Specialist, you need expertise in data analysis, machine learning, and a solid understanding of insurance products and risk assessment, usually backed by a degree in data science, actuarial science, or a related field. Familiarity with AI development frameworks (such as TensorFlow or PyTorch), insurance-specific analytics platforms, and relevant certifications like CPCU or data science credentials are typically required. Strong problem-solving, communication, and adaptability skills help bridge technical solutions with business needs and client expectations. These competencies ensure innovative, accurate risk modeling and effective implementation of AI solutions within the insurance sector.

What is the difference between Generative Ai Insurance vs Data Scientist?

AspectGenerative Ai InsuranceData Scientist
Required CredentialsTypically requires knowledge of AI, machine learning, insurance policies, and data analysisRequires degrees in computer science, statistics, or related fields; often certifications in data analysis or machine learning
Work EnvironmentInsurance companies, AI firms, or tech departments within insurersTech companies, financial institutions, or insurance firms
Industry UsageDevelops AI models to automate insurance underwriting, claims, and risk assessmentAnalyzes data to extract insights, build predictive models, and inform business decisions

Generative Ai Insurance professionals focus on creating AI systems that generate content or automate insurance processes, while Data Scientists analyze data to inform strategies. Both roles require technical skills but differ in application and industry focus.

What cities near Mobile, AL are hiring for Generative Ai Insurance jobs?

Cities near Mobile, AL with the most Generative Ai Insurance job openings:

Stress Engineer II - Structural Engineering (Onsite)

Prattwhitney

Foley, AL • On-site

$68.90 - $131.10/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

Location: 1300 W Fern Ave, Foley, AL, USA – onsite.

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world‑class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.

Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense.

What You Will Do
  • Perform structural analyses using hand and computer calculations, including static and fatigue analysis of aerospace components.
  • Define, assess, and document repair designs for metallic, bonded metallic, and advanced composite aerospace structures.
  • Work with Materials Review Board (MRB) to develop standard repair instructions.
  • Analyze repair proposals and prepare formal engineering reports supporting minor and major repairs for internal and external customers, which may include obtaining authorized engineering signatures.
  • Collaborate with Operations, Quality, Manufacturing, and Engineering teams to identify and implement cost reduction opportunities across product lines and processes.
  • Support corrective action and defect reduction initiatives by identifying recurring technical issues and contributing to sustainable solutions.
  • Develop and implement processes, methods, and tools that improve efficiency throughout Engineering Production Support workflows activities.
  • Develop or improve engineering methods, tools, databases, and automated workflows that increase efficiency.
  • Apply CORE tools and continuous improvement principles to reduce process turnbacks, improve engineering performance, and support the objectives of the organization.
  • Communicate technical findings, recommendations, risks, and decisions clearly to engineering leadership, customers, and cross functional stakeholders.
Qualifications You Must Have
  • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 2 years of prior relevant experience or an Advanced Degree in a related field
  • Experience performing static stress and fatigue analysis using classical methods and finite element analysis.
  • Experience with load paths, free body diagrams, load balance, and common failure modes.
  • Experience using Patran, or comparable finite element analysis tools.
  • Experience with Microsoft Office computer skills including Word, Excel, PowerPoint, & Outlook.
Qualifications We Prefer
  • Experience preparing clear, accurate, and well‑organized technical reports.
  • Ability to apply established structural analysis methods and engineering standards to solve technical problems.
  • Ability to communicate technical information effectively across Engineering, Manufacturing, Quality, leadership, and customer organizations.
  • Experience analyzing metallic or advanced composite aerospace structures.
  • Experience in Stress Engineering Production Support (MRB Stress) and/or MRO environment.
  • Proficiency in programming and automation tools such as Python, Excel VBA, VB.NET, C#.NET, Visual Basic, or similar languages for developing internal engineering tools, automating repetitive tasks, and improving workflow efficiency.
  • Knowledge or practical experience in Artificial Intelligence (AI), Machine Learning, Generative AI, or AI‑assisted engineering tools is an advantage, particularly in applying AI to engineering design, analysis, documentation, or process optimization.
  • Demonstrated ability to define problems, collect data, establish facts, and draw valid conclusions to address issues of complex scope.
  • Proactive, action‑oriented approach to managing tasks and activities.
What We Offer

Benefits:

  • Medical, dental, and vision insurance
  • Three weeks of vacation for newly hired employees
  • Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option
  • Tuition reimbursement program
  • Student Loan Repayment Program
  • Life insurance and disability coverage
  • Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection
  • Birth, adoption, parental leave benefits
  • Ovia Health, fertility, and family planning
  • Adoption Assistance
  • Autism Benefit
  • Employee Assistance Plan, including up to 10 free counseling sessions
  • Healthy You Incentives, wellness rewards program
  • Doctor on Demand, virtual doctor visits
  • Bright Horizons, child and elder care services
  • Teladoc Medical Experts, second opinion program
  • And more!

This role may be eligible for relocation.

The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.

Hired applicants may be eligible for benefits, including but not limited to medical, dental, vision, life insurance, short‑term disability, long‑term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective‑bargaining agreement. Hired applicants may be eligible for annual short‑term and/or long‑term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective‑bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

RTX is an aerospace and defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry‑leading businesses – Collins Aerospace, Pratt & Whitney, and Raytheon. Its 195,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, Virginia.

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