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Patterned Learning Ai Jobs in Philadelphia, PA (NOW HIRING)

Compunnel

AI Architect

Conshohocken, PA · On-site

$62 - $81.75/hr

... AI architecture patterns aligned with enterprise security, reliability, and performance ... learning, or AI architecture. • 3+ years of experience working with LLM-based systems and ...

New

Redolent, Inc.

AI/ML Engineer

Pennington, NJ · On-site

... patterns for web, mobile, and voice experiences ... Design, engineer, and curate training and validation datasets to support machine learning pipelines ...

New

Berkley

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Responsibilities The AI Platform, Principal Engineer is responsible for designing, building, and ... best-practice patterns. * Experience with machine learning frameworks and libraries such as ...

Berkley

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Responsibilities The AI Platform, Principal Engineer is responsible for designing, building, and ... best-practice patterns. * Experience with machine learning frameworks and libraries such as ...

Berkley

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

The AI Platform, Principal Engineer is responsible for designing, building, and maintaining robust ... best-practice patterns. * Experience with machine learning frameworks and libraries such as ...

Fairygodboss

Data Domain Architect Lead

Wilmington, DE · On-site

$120 - $150/hr

... Learning ( AI/ML)L algorithms and applications. As a Data Domain Architect Lead within the Data ... Lead efforts to identify patterns and trends in conversational data through Natural Language ...

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All JobsPatterned Learning Ai JobsPatterned Learning Ai Jobs in Philadelphia, PA

Patterned Learning Ai information

See Philadelphia, PA salary details

$27

$41

$70

How much do patterned learning ai jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for patterned learning ai in Philadelphia, PA is $41.07, according to ZipRecruiter salary data. Most workers in this role earn between $29.86 and $53.37 per hour, depending on experience, location, and employer.

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 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 are popular job titles related to Patterned Learning Ai jobs in Philadelphia, PA?

For Patterned Learning Ai jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Patterned Learning Ai jobs in Philadelphia, PA look for?

The top searched job categories for Patterned Learning Ai jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Patterned Learning Ai jobs?

Cities near Philadelphia, PA with the most Patterned Learning Ai job openings:

Patterned Learning Ai jobs near you
Infographic showing various Patterned Learning Ai job openings in Philadelphia, PA as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $85,418 per year, or $41.1 per hour.

Senior Principal EA Applied AI Agentic Architecture

Pennsylvania Medicine

Philadelphia, PA • On-site

Full-time

Re-posted 14 days ago

Job description

Penn Medicine is dedicated to our tripartite mission of providing the highest level of care to patients, conducting innovative research, and educating future leaders in the field of medicine. Working for this leading academic medical center means collaboration with top clinical, technical and business professionals across all disciplines.
Today at Penn Medicine, someone will make a breakthrough. Someone will heal a heart, deliver hopeful news, and give comfort and reassurance. Our employees shape our future each day. Are you living your life's work?
Entity: Corporate Services
Department: Enterprise Technology Architecture and Strategy
Location: Hybrid, 3535 Market St, Philadelphia, PA 19104
Summary:
  • Principal Enterprise Architect - Applied AI & Agentic Architecture is the senior individual contributor role responsible for the solution and workflow-level architecture of applied AI, generative AI (GenAI), and agentic systems across the enterprise. This role serves as the authoritative enterprise architecture voice for how AI and GenAI capabilities are designed, integrated, governed, and consumed within clinical, operational, administrative, and digital environments. The Senior Principal defines and maintains enterprise standards, reference architectures, integration patterns, and responsible AI frameworks that enable the safe, compliant, and scalable deployment of AI use cases across the health system. This role operates at the intersection of clinical care, enterprise IT, and emerging AI technology, ensuring that AI investments are architecturally sound, clinically safe, ethically governed, and aligned to measurable organizational outcomes.

Responsibilities:
  • Defines and owns enterprise reference architectures and design standards for applied AI, GenAI, and Agentic AI systems deployed into clinical, research, operational and administrative workflows.
  • Architect Agentic AI and multi-agent system (MAS) patterns appropriate for enterprise and regulated clinical use, including agent orchestration, human-in-the-loop controls, and safety boundaries.
  • Owns applied GenAI integration architecture including retrieval-augmented generation (RAG), prompt governance frameworks, LLM orchestration patterns, and API consumption standards across enterprise AI platforms.
  • Establishes and maintains responsible AI guardrails, clinical AI safety frameworks, and applied AI risk controls, ensuring alignment with patient safety obligations and regulatory requirements.
  • Represent in governance of AI use-case portfolio from an architecture perspective, including use-case value-cost-risk analysis, clinical applicability assessment, and architecture review for AI solutions entering production.
  • Leads AI architecture scenario planning to anticipate regulatory, clinical safety, and technology risks, and embeds adaptive guardrails into enterprise AI architecture standards and governance frameworks.
  • Applies human centered design and design thinking principles to AI architecture, ensuring solutions are aligned to end user needs, workflow integration, and the patient and clinician experience.
  • Partners with clinical informatics, digital health, data & analytics and operational leaders to translate AI investments into architecturally sound, measurable enterprise outcomes.
  • Develops and enforces enterprise AI consumption standards and integration patterns for EHR systems, clinical applications, operational platforms, and enterprise data services.
  • Collaborates with Information Security, Privacy, Legal, Compliance, and Risk Management to ensure AI use cases meet HIPAA, patient safety, and applicable regulatory and audit requirements.
  • Provides architecture advisory and review for AI-related vendor evaluations, procurement decisions, and enterprise product selections at the solution and workflow layer.
  • Represents the applied AI architecture domain in enterprise architecture review boards, AI governance committees, and relevant executive steering bodies.
  • Publishes and maintains AI architecture decision records, reference architectures, design patterns, and governance standards accessible to delivery teams and enterprise stakeholders.
  • Monitors emerging AI, GenAI, and agentic AI trends; assesses implications for enterprise architecture standards, governance frameworks, and clinical safety posture.
  • Serves as a senior architectural thought leader and trusted advisor to executive, clinical, and operational stakeholders on applied AI architecture matters.
  • Performs duties in accordance with Penn Medicine and entity values, policies, and procedures.
  • Other duties as assigned to support the unit, department, entity, and health system organization.

Credentials:
  • Certified Machine Learning, Professional ML Engineer, AI Governance, or equivalent AI certification is preferred.
Education or Equivalent Experience:
  • Bachelor's Degree is required.
  • 10+ years Information Technology (IT) experience, with 7+ years Enterprise Architecture is required.
  • 3+ years AI and Agentic AI Architecture is required.

We believe that the best care for our patients starts with the best care for our employees. Our employee benefits programs help our employees get healthy and stay healthy. We offer a comprehensive compensation and benefits program that includes one of the finest prepaid tuition assistance programs in the region. Penn Medicine employees are actively engaged and committed to our mission. Together we will continue to make medical advances that help people live longer, healthier lives.
Live Your Life's Work
We are an Equal Opportunity employer. Candidates are considered for employment without regard to race, ethnicity, color, sex, sexual orientation, gender identity, religion, national origin, ancestry, age, disability, marital status, familial status, genetic information, domestic or sexual violence victim status, citizenship status, military status, status as a protected veteran or any other status protected by applicable law.

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