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Patterned Learning Ai Jobs in Iowa (NOW HIRING)

Pwc

US Tech - AI Engineering Manager

Des Moines, IA

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... patterns - Bringing systems thinking to design end-to-end platforms - Coaching and mentoring ...

Varsity Tutors

Vibe Coding Tutor

Ames, IA · Remote

$18 - $40/hr

Ability to explain effective prompt patterns, code review practices for AI output, and rapid ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Varsity Tutors

Vibe Coding Tutor

Iowa City, IA · Remote

$18 - $40/hr

Ability to explain effective prompt patterns, code review practices for AI output, and rapid ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Accenture

Google Data Specialist

Des Moines, IA · On-site

$70K - $196K/yr

Support operational processes for data validation, testing, and monitoring. 5. Continuous Learning & Team Support * Learn and apply GCP Data & AI best practices across architectural patterns ...

Varsity Tutors

CogAT Tutor

Ames, IA · Remote

$18 - $40/hr

Ability to explain cognitive reasoning patterns while preparing students for gifted program ... advanced technology, AI, and the latest in learning science to create personalized learning ...

Varsity Tutors

CogAT Tutor

Iowa City, IA · Remote

$18 - $40/hr

Ability to explain cognitive reasoning patterns while preparing students for gifted program ... advanced technology, AI, and the latest in learning science to create personalized learning ...

Varsity Tutors

Spelling Bee Tutor

Ames, IA · Remote

$18 - $40/hr

Ability to explain language of origin patterns, silent letters, and unusual spelling conventions ... advanced technology, AI, and the latest in learning science to create personalized learning ...

Varsity Tutors

Spelling Bee Tutor

Iowa City, IA · Remote

$18 - $40/hr

Ability to explain language of origin patterns, silent letters, and unusual spelling conventions ... advanced technology, AI, and the latest in learning science to create personalized learning ...

Varsity Tutors

Guitar Tutor

Ames, IA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... mastery, scale pattern navigation, fingerpicking technique, and song learning approaches.

Varsity Tutors

Guitar Tutor

Iowa City, IA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... mastery, scale pattern navigation, fingerpicking technique, and song learning approaches.

Varsity Tutors

Arabic Tutor

Ames, IA · Remote

$18 - $40/hr

Deep knowledge of Arabic script, root-pattern morphology, noun and verb conjugation, case marking ... advanced technology, AI, and the latest in learning science to create personalized learning ...

Varsity Tutors

Organic Chemistry 2 Tutor

Iowa City, IA · Remote

$18 - $40/hr

Skilled at breaking down carbonyl reactivity patterns, nucleophilic acyl substitution mechanisms ... advanced technology, AI, and the latest in learning science to create personalized learning ...

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Patterned Learning Ai information

What are some typical challenges faced by Patterned Learning AI professionals in implementing AI-driven solutions within organizations?

Patterned Learning AI professionals often encounter challenges such as integrating AI models with existing legacy systems, ensuring high-quality and representative training data, and aligning AI solutions with specific business objectives. Collaboration across multidisciplinary teams—including data scientists, software engineers, and business stakeholders—is essential for successful deployment. Additionally, professionals must stay updated on evolving AI technologies and best practices to maintain model accuracy and address ethical considerations.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (especially Python), and a degree in computer science or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn, as well as familiarity with cloud computing platforms and data management tools, is essential. Excellent problem-solving skills, creativity, and clear communication are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies are vital for developing reliable AI systems that solve real-world problems and drive innovation.

What is the difference between Patterned Learning Ai vs Data Scientist?

AspectPatterned Learning AiData Scientist
Required CredentialsTypically requires machine learning, AI, or computer science degrees; certifications in AI toolsRequires degrees in statistics, computer science, or related fields; often certifications in data analysis
Work EnvironmentTech companies, AI startups, research labs focusing on AI developmentBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed by AI-focused organizations developing intelligent systemsEmployed across industries for data analysis, predictive modeling, and decision support

Patterned Learning Ai primarily focuses on developing AI models and algorithms, often requiring specialized technical skills. Data Scientists analyze data to extract insights and inform business decisions. While both roles involve data and machine learning, Patterned Learning Ai is more centered on creating AI systems, whereas Data Scientists interpret data for strategic purposes.

What is Patterned Learning AI?

Patterned Learning AI refers to artificial intelligence systems designed to recognize, learn from, and replicate patterns in data. These systems use algorithms to identify trends, correlations, and structures within large datasets, enabling them to make predictions or automate decision-making processes. Patterned Learning AI is commonly used in fields like image recognition, natural language processing, and predictive analytics. Its applications help businesses and researchers uncover hidden insights, streamline operations, and improve accuracy in various tasks.
What are popular job titles related to Patterned Learning Ai jobs in Iowa? For Patterned Learning Ai jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Patterned Learning Ai jobs in Iowa look for? The top searched job categories for Patterned Learning Ai jobs in Iowa are:
Patterned Learning Ai jobs near you
AI & Automation Delivery Engineer- Hybrid Des Moines, Iowa

AI & Automation Delivery Engineer- Hybrid Des Moines, Iowa

American Enterprise Group, Inc.

Des Moines, IA • On-site

Full-time

Medical, Retirement, PTO

Posted 18 days ago

Job description

Wellabe is hiring an AI & Automation Delivery Engineer to join our team. This role supports the AI & Automation Center of Excellence by building practical AI and automation solutions, prototypes, pilots, reusable components, and technical accelerators. This role works with business, technology, architecture, data, security, governance, and process improvement partners to deliver solutions that are secure, supportable, measurable, and aligned with enterprise standards. The role focuses on delivering immediate value while enabling distributed teams to reuse approved patterns and scale AI and automation responsibly.
Core Responsibilities
  • Build AI and Automation Solutions
    • Build, configure, test, and refine AI and automation solutions using approved platforms, patterns, workflows, agents, prompts, connectors, integrations, and reusable components.
    • Develop prototypes, pilots, proofs of value, and early production implementations with the AI & Automation Solution Architect, ensuring solutions are usable, secure, scalable, supportable, and aligned with approved designs.
  • Develop Prototypes and Pilots
    • Build lighthouse solutions and working examples that demonstrate practical AI and automation use cases and can be showcased, reused, replicated, or extended across the enterprise.
    • Validate feasibility, user experience, integration needs, data dependencies, platform fit, risks, and production readiness through rapid experimentation, documentation, and lessons learned.
  • Create Reusable Technical Assets
    • Develop reusable automation patterns, workflow templates, prompt examples, connectors, scripts, configuration guides, sample solutions, and technical accelerators.
    • Contribute to CoE playbooks, implementation guides, checklists, readiness materials, and asset libraries that help teams build faster, reduce duplication, and improve enterprise consistency.
  • Deliver AI and Automation Use Cases
    • Partner with business teams, process improvement teams, and product owners to define use case goals, workflow impacts, user needs, success criteria, requirements, technical gaps, and practical implementation plans.
    • Support implementation from intake through design, build, testing, deployment readiness, adoption, measurement, scale, and production handoff.
  • Partner on Solution Architecture
    • Partner with the AI & Automation Solution Architect to convert approved patterns into working implementations, validate design assumptions, and provide feedback on complexity, platform limitations, reusable components, security, scalability, and supportability.
    • Contribute to design documentation, technical standards, configuration guidance, implementation playbooks, and repeatable delivery practices.
  • Support Responsible AI and Governance
    • Build solutions aligned with enterprise architecture, responsible AI expectations, information security, data protection, governance, approved tools, and review requirements.
    • Identify, document, and help mitigate risks related to data sensitivity, access controls, prompt behavior, model limitations, integrations, controls, monitoring, auditability, and human-in-the-loop review.
  • Prepare for Production
    • Prepare solutions for production by documenting ownership, support model, configuration details, data dependencies, monitoring needs, controls, operational procedures, and knowledge transfer materials.
    • Support testing, user acceptance, defect resolution, deployment readiness, pilot-to-production transition, and continuous improvement based on feedback, usage data, performance results, and lessons learned.
  • Enable Distributed Teams
    • Provide hands-on technical support, coaching, demos, examples, office hours, learning sessions, and community support to help teams adopt approved AI and automation patterns and platforms.
    • Help teams select appropriate solution approaches while reinforcing a federated delivery model that builds capability and reduces dependency on the CoE.
  • Track Delivery Value
    • Track progress, risks, dependencies, reusable assets, implemented automations, lessons learned, benefits realized, adoption, usage, efficiency gains, quality improvements, and other business outcomes.
    • Use value examples, delivery metrics, and stakeholder feedback to improve build practices, reusable components, and implementation guidance.
Qualifications
  • Ability to translate business requirements and solution designs into practical working solutions in partnership with business, product, process improvement, technology, security, data, compliance, risk, and governance teams.
  • Familiarity with AI, generative AI, automation, low-code/no-code tools, RPA, workflow platforms, APIs, data services, testing, documentation, deployment readiness, supportability, security-by-design, and operational handoff.
  • Familiarity with responsible AI, prompt engineering, retrieval-augmented generation, document intelligence, process mining, workflow orchestration, data privacy, security controls, auditability, monitoring, and production support concepts.
  • Skill at hands on delivery and the ability to build practical AI and automation solutions that demonstrate measurable business value.
  • Problem solving skills and the ability to troubleshoot implementation challenges and identify practical paths forward.
  • Automation mindset and the ability to identify opportunities to reduce manual work, improve speed, reduce errors, and increase consistency through automation.
  • Knowledge of reuse, scalability, supportability, and maintainability principles when building AI and automation solutions.
  • Ability to convert business needs and solution designs into practical working capabilities.
  • Knowledge of security, privacy, risk, governance, and responsible AI expectations during solution build and deployment.
  • Ability to move work from idea to prototype, pilot, and production readiness with appropriate delivery discipline.
  • Strong collaboration skills to effectively partner with business, technology, architecture, data, security, risk, compliance, and operations teams.
  • Strong continuous improvement skills and ability to use feedback, lessons learned, and usage data to improve solutions, reusable assets, and delivery practices.
  • 3+ years of experience in application development, automation, workflow configuration, systems integration, low-code/no-code development, digital transformation, or related technology delivery required.
  • Experience building or configuring business applications, workflow automations, integrations, scripts, dashboards, forms, approval processes, or productivity solutions required.
  • Experience with Microsoft AI, automation, and low-code/no-code platforms such as Microsoft Copilot, Copilot Studio, Power Platform, Power Automate, Power Apps, AI Builder, Azure AI, Azure Logic Apps, or related tools preferred.
  • Experience developing reusable templates, connectors, workflow patterns, prompt libraries, technical accelerators, pilots, proofs of value, demos, or solution showcase preferred.
  • Experience in insurance, financial services, healthcare, or another regulated industry strongly preferred.
Education
  • Bachelor's degree in information technology, computer science, engineering, business systems, analytics, or a related field required; equivalent experience considered.
  • Additional coursework, certification, or continued learning in AI, automation, low-code/no-code development, systems integration, data/analytics, Agile, DevOps, Lean, Six Sigma, design thinking, or continuous improvement preferred.
Benefits
  • Hybrid availability
  • 401(k) with company match
  • Health insurance
  • Paid time off, holidays
  • Volunteer time off
  • Lifestyle Spending Account (LSA)
  • Paternity leave
Growth opportunities
We believe each of us has potential to grow and adapt with our business. We take your career as seriously as you do. Helping you develop your skills and talents leads to opportunities - not only for you, but also for our company. That's why we provide:
  • LinkedIn Learning Premium access
  • CliftonStrengths® assessment and coaching
  • On-site and virtual workshops and cohorts featuring world-class content from FranklinCovey, Crucial Learning, Gallup, and more
  • Free world-class insurance acumen courses through AHIP and LOMA
  • Reimbursement and bonus opportunities for professional designations and certifications, including a tuition reimbursement program
  • Opportunities to take part in Wellabe's mentorship programs
About Wellabe
Since 1929, Wellabe has been finding solutions to help our customers protect their health and financial well-being. And we're committed to fostering an internal culture of inclusivity, well-being, and development so each of our team members can succeed. Learn more about Wellabe's culture of betterment by visiting wellabe.com/culture.
Wellabe is full of smart, caring, hard-working people with a broad range of talents who understand collaboration is key. We bring our best selves every day, to connect with others to solve problems, spark innovation, and bring ideas to life. Meet the team and learn what makes Wellabe a great place to work by visiting wellabe.com/news/employee-spotlights.
Our core values:
  • Be dedicated: Show unwavering commitment by proactively taking initiative, setting clear goals, and managing time effectively.
  • Be trustworthy: Take accountability for actions, navigate difficult conversations with integrity, and build strong relationships through consistent, honest behavior.
  • Be determined: Demonstrate enthusiasm and a relentless drive to overcome obstacles and achieve goals.
  • Be collaborative: Foster teamwork by being self-aware, actively listening, and effectively communicating across all levels.
  • Be open: Embrace diversity and new ideas to create an inclusive environment.
  • Be generous: Embody generosity and compassion by serving a greater purpose and helping others.
  • Be better: Commit to continuous improvement and adapt effectively to change.
  • Be well: Prioritize physical and mental health, manage stress, and demonstrate emotional intelligence.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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