Strong understanding of AI, machine learning, generative AI, and agentic AI architectures and implementation patterns. * Experience developing secure, cloud based applications and services. * Strong ...
Strong understanding of AI, machine learning, generative AI, and agentic AI architectures and implementation patterns. * Experience developing secure, cloud based applications and services. * Strong ...
AI Enablement Lead
Lafayette Hill, PA · On-site
Document repeatable patterns, standards, and playbooks that improve the consistency and scalability ... Partner with the Learning Center team and Marketing & Communications to develop and distribute ...
AI Enablement Lead
Lafayette Hill, PA · On-site
Document repeatable patterns, standards, and playbooks that improve the consistency and scalability ... Partner with the Learning Center team and Marketing & Communications to develop and distribute ...
AI Enablement Lead
Lafayette Hill, PA · On-site
Document repeatable patterns, standards, and playbooks that improve the consistency and scalability ... Partner with the Learning Center team and Marketing & Communications to develop and distribute ...
AI Enablement Lead
Lafayette Hill, PA · On-site
Document repeatable patterns, standards, and playbooks that improve the consistency and scalability ... Partner with the Learning Center team and Marketing & Communications to develop and distribute ...
Experience assessing AI, machine learning, and LLM deployment patterns, including training, retrieval-augmented generation, fine-tuning, tool use, data dependencies, and integration patterns, and ...
Experience assessing AI, machine learning, and LLM deployment patterns, including training, retrieval-augmented generation, fine-tuning, tool use, data dependencies, and integration patterns, and ...
Experience assessing AI, machine learning, and LLM deployment patterns, including training, retrieval-augmented generation, fine-tuning, tool use, data dependencies, and integration patterns, and ...
Experience assessing AI, machine learning, and LLM deployment patterns, including training, retrieval-augmented generation, fine-tuning, tool use, data dependencies, and integration patterns, and ...
Experience assessing AI, machine learning, and LLM deployment patterns, including training, retrieval-augmented generation, fine-tuning, tool use, data dependencies, and integration patterns, and ...
Experience assessing AI, machine learning, and LLM deployment patterns, including training, retrieval-augmented generation, fine-tuning, tool use, data dependencies, and integration patterns, and ...
The architect will define reusable patterns for LLMs, RAG, agentic systems, model integration ... person learning, collaboration, and connection. We believe our mission-driven and highly ...
The architect will define reusable patterns for LLMs, RAG, agentic systems, model integration ... person learning, collaboration, and connection. We believe our mission-driven and highly ...
The architect will define reusable patterns for LLMs, RAG, agentic systems, model integration ... person learning, collaboration, and connection. We believe our mission-driven and highly ...
The architect will define reusable patterns for LLMs, RAG, agentic systems, model integration ... person learning, collaboration, and connection. We believe our mission-driven and highly ...
The architect will define reusable patterns for LLMs, RAG, agentic systems, model integration ... person learning, collaboration, and connection. We believe our mission-driven and highly ...
The architect will define reusable patterns for LLMs, RAG, agentic systems, model integration ... person learning, collaboration, and connection. We believe our mission-driven and highly ...
Experience assessing AI, machine learning, and LLM deployment patterns, including training, retrieval-augmented generation, fine-tuning, tool use, data dependencies, and integration patterns, and ...
Experience assessing AI, machine learning, and LLM deployment patterns, including training, retrieval-augmented generation, fine-tuning, tool use, data dependencies, and integration patterns, and ...
Experience assessing AI, machine learning, and LLM deployment patterns, including training, retrieval-augmented generation, fine-tuning, tool use, data dependencies, and integration patterns, and ...
Experience assessing AI, machine learning, and LLM deployment patterns, including training, retrieval-augmented generation, fine-tuning, tool use, data dependencies, and integration patterns, and ...
Experience assessing AI, machine learning, and LLM deployment patterns, including training, retrieval-augmented generation, fine-tuning, tool use, data dependencies, and integration patterns, and ...
Experience assessing AI, machine learning, and LLM deployment patterns, including training, retrieval-augmented generation, fine-tuning, tool use, data dependencies, and integration patterns, and ...
Salesforce Data Cloud & AI Architect Senior Manager
Philadelphia, PA · On-site
$69.75 - $86.25/hr
And we are always learning. We're building the most resourceful team on the planet, and helping our ... Practice development - contribute reusable architecture patterns, accelerators, and LS-specific AI ...
Salesforce Data Cloud & AI Architect Senior Manager
Philadelphia, PA · On-site
$69.75 - $86.25/hr
And we are always learning. We're building the most resourceful team on the planet, and helping our ... Practice development - contribute reusable architecture patterns, accelerators, and LS-specific AI ...
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 ...
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 ...
Job Title: Principal AI/ML Engineer (Large Language Model) Job Category: Science Time Type ... pattern-of-life algorithms Experience with Machine Learning libraries and frameworks such as ...
Job Title: Principal AI/ML Engineer (Large Language Model) Job Category: Science Time Type ... pattern-of-life algorithms Experience with Machine Learning libraries and frameworks such as ...
AI Solutions Architect
Pittsburgh, PA · Remote
$61.25 - $80.50/hr
... learning pipelines, aligned to client business objectives. * Lead technical strategy for AI ... Mentor technical teams on AI architecture patterns and responsible AI practices. What you will ...
Quick apply
AI Solutions Architect
Pittsburgh, PA · Remote
$61.25 - $80.50/hr
... learning pipelines, aligned to client business objectives. * Lead technical strategy for AI ... Mentor technical teams on AI architecture patterns and responsible AI practices. What you will ...
PA · On-site
$150 - $190/hr
... that enhance learning effectiveness and accelerate capability development across the U.S ... Coaching preparation and focus Identifying skill gaps and performance patterns Reinforcing training ...
New
PA · On-site
$150 - $190/hr
... that enhance learning effectiveness and accelerate capability development across the U.S ... Coaching preparation and focus Identifying skill gaps and performance patterns Reinforcing training ...
New
Apply AI and digital learning tools to personalize training based on role, experience level, and ... Identifying skill gaps and performance patterns * Reinforcing training through coaching ...
Apply AI and digital learning tools to personalize training based on role, experience level, and ... Identifying skill gaps and performance patterns * Reinforcing training through coaching ...
The ideal candidate combines deep data engineering, analytics, machine learning, and generative AI ... Industrialize AI delivery: Establish reusable patterns for retrieval-augmented generation ...
New
The ideal candidate combines deep data engineering, analytics, machine learning, and generative AI ... Industrialize AI delivery: Establish reusable patterns for retrieval-augmented generation ...
New
The ideal candidate combines deep data engineering, analytics, machine learning, and generative AI ... Industrialize AI delivery: Establish reusable patterns for retrieval-augmented generation ...
New
The ideal candidate combines deep data engineering, analytics, machine learning, and generative AI ... Industrialize AI delivery: Establish reusable patterns for retrieval-augmented generation ...
New
Patterned Learning Ai information
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?
| Aspect | Patterned Learning Ai | Data Scientist |
|---|---|---|
| Required Credentials | Typically requires machine learning, AI, or computer science degrees; certifications in AI tools | Requires degrees in statistics, computer science, or related fields; often certifications in data analysis |
| Work Environment | Tech companies, AI startups, research labs focusing on AI development | Business, finance, healthcare, and tech sectors analyzing data for insights |
| Employer & Industry Usage | Used by AI-focused organizations developing intelligent systems | Employed 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 Pennsylvania?
For Patterned Learning Ai jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Patterned Learning Ai jobs in Pennsylvania look for?
The top searched job categories for Patterned Learning Ai jobs in Pennsylvania are:
- Associate Machine Learning Chemistry
- Sr Machine Learning Engineer
- Home Based Python Machine Learning
- Director Google Machine Learning Engineer
- Machine Learning Engineer Quantization
- H1B Machine Learning
- Home Based Nvidia Machine Learning
- Ai Machine Learning Engineer
- Learning Disability
- Weekend Machine Learning
What cities in Pennsylvania are hiring for Patterned Learning Ai jobs?
Cities in Pennsylvania with the most Patterned Learning Ai job openings:
Full-time
Medical, Dental, Vision, Retirement, PTO
Re-posted 17 days ago
Job description
Description
DISTINGUISHED ENGINEER, AI TOOLING & SECURITY
Why This Role Matters
This role will help define and secure the future of AI at Citizens. The Distinguished Engineer, AI Tooling & Security will shape enterprise engineering practices, accelerate responsible AI adoption, and ensure that AI driven capabilities are developed, deployed, and operated securely at scale while enabling innovation and business growth.
Role Summary
Citizens is seeking a highly accomplished Distinguished Engineer, AI Tooling & Security to drive the design, engineering, and security of AI powered platforms and applications across the enterprise. This role combines deep software engineering expertise with advanced security knowledge to ensure AI solutions are scalable, resilient, secure, and aligned with business objectives.
As a Distinguished Engineer, you will serve as a hands on technical leader and peer mentor, partnering with engineering, architecture, security, data, and business teams to shape the future of AI adoption at Citizens. You will lead the development of innovative solutions, establish engineering standards, influence strategic technology decisions, and advance secure AI capabilities across the organization.
Key Responsibilities
- Lead the design, development, and implementation of innovative software solutions, platforms, and tools that support enterprise AI initiatives.
- Collaborate with engineering and architecture teams to define scalable, secure, and maintainable technology solutions aligned with enterprise standards.
- Build modern, cloud native applications and reusable components that accelerate business outcomes and technology innovation.
- Incorporate scalability, reliability, performance, observability, and maintainability into distributed systems and platform designs.
- Champion engineering excellence through code quality, automation, testing, and continuous improvement practices.
- Serve as a senior technical leader and mentor, fostering a culture of innovation, accountability, and continuous learning.
- Build and operationalize security controls that protect AI applications, models, agents, prompts, and outputs from misuse and abuse.
- Secure the full AI and machine learning lifecycle, including data ingestion, model development, training, deployment, monitoring, and runtime operations.
- Design safeguards against emerging AI threats, including prompt injection, data poisoning, model inversion, adversarial attacks, and unauthorized data exposure.
- Strengthen identity, authentication, authorization, and access management controls for AI systems, APIs, services, and cloud environments.
- Secure integrations between AI platforms and enterprise applications, databases, APIs, and SaaS solutions to prevent unauthorized access and data exfiltration.
- Implement encryption, tokenization, data masking, and privacy preserving controls to protect sensitive information used by AI systems.
- Develop monitoring, logging, detection, and alerting capabilities to identify anomalous AI behaviors, policy violations, and security threats.
- Harden cloud platforms, containers, orchestration environments, and infrastructure supporting AI workloads.
- Evaluate security risks associated with third party AI platforms and services, ensuring appropriate governance and control frameworks.
- Integrate automated security validation, adversarial testing, and model robustness assessments into engineering and deployment pipelines.
- Lead technical investigations and response activities related to AI security incidents, model misuse, and data exposure events.
- Collaborate with architecture, governance, risk, compliance, and engineering teams to align AI security practices with regulatory requirements and business objectives.
Required Qualifications
- 10+ years of software engineering, platform engineering, security engineering, or data engineering experience.
- Demonstrated success leading large scale engineering initiatives and influencing technical direction across multiple teams.
- Strong understanding of AI, machine learning, generative AI, and agentic AI architectures and implementation patterns.
- Experience developing secure, cloud based applications and services.
- Strong programming experience in Python and proficiency in at least one additional modern programming language.
- Experience working with large scale data platforms and analytical workloads.
- Hands on experience with AWS cloud technologies and securing sensitive workloads.
- Strong Linux and scripting experience, including Bash.
- Experience building and maintaining CI/CD pipelines using Jenkins, CircleCI, GitHub Actions, or similar technologies.
- Deep understanding of application security, cloud security, identity and access management, API security, and secure software development practices.
- Knowledge of AI security principles, model governance, threat modeling, and secure deployment patterns.
- Strong understanding of data structures, algorithms, and distributed systems.
- Excellent communication, collaboration, and stakeholder management skills.
- Proven ability to mentor and develop engineers while driving technical excellence.
Preferred Qualifications
- Experience securing enterprise AI, machine learning, or generative AI platforms.
- Experience within financial services, banking, fintech, or other highly regulated industries.
- Cloud certifications such as AWS Solutions Architect, AWS Security Specialty, Azure Solutions Architect, or equivalent.
- Experience with container platforms, Kubernetes, infrastructure as code, and platform engineering practices.
- Familiarity with emerging AI governance, model risk management, and regulatory frameworks.
Education
- Required: Bachelor's degree or equivalent combination of education and experience.
- Preferred: Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Cybersecurity, or a related technical discipline.
Compensation
The salary range for this position is $175,000 to $250,000 per year, plus an opportunity to earn additional incentive earnings. Actual pay is based on various factors including, but not limited to, the budget, work location, and relevant skills and experience.
Benefits
Comprehensive benefits include medical, dental, and vision coverage, retirement plans, parental leave, flexible work arrangements, education reimbursement, wellness programs, and generous paid time off exceeding local requirements.
https://jobs.citizensbank.com/benefits.
Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.
Equal Employment Opportunity
Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.
Education:Why Work for UsEmployment Type: 1ST