1

Patterned Learning Ai Jobs in Massachusetts (NOW HIRING)

AI Solutions Architect

Boston, MA · On-site

$68.50 - $90.25/hr

... Machine Learning / AI Specialty certifications. * Hands-on experience with alternative cloud providers (Azure OpenAI, Google Cloud Platform Vertex AI) and enterprise integration patterns.

The AI Learning Specialist plays a key role in accelerating AI adoption across the firm by creating ... patterns, evolving AI tools, and workflow changes. Qualifications: * Bachelor's degree required ...

The AI Learning Specialist plays a key role in accelerating AI adoption across the firm by creating ... patterns, evolving AI tools, and workflow changes. Qualifications: * Bachelor's degree required ...

Design, develop and maintain scalable and efficient Artificial Intelligence/Machine Learning ("AI ... DE applying agile development, SOLID principles, design patterns, version control, code review ...

Define enterprise AI architecture across machine learning, generative AI, automation, and emerging agent-based capabilities * Develop architectural standards, patterns, and reference architectures ...

Define enterprise AI architecture across machine learning, generative AI, automation, and emerging agent-based capabilities * Develop architectural standards, patterns, and reference architectures ...

AI Architect

Milford, MA · On-site

$69 - $91/hr

Define enterprise AI architecture across machine learning, generative AI, automation, and emerging agent-based capabilities * Develop architectural standards, patterns, and reference architectures ...

Senior Data Engineer

Westwood, MA · On-site +1

$105K - $158K/yr

Understanding of data integration patterns, APIs, and event driven architectures. * Experience supporting AI, machine learning, or advanced analytics workloads. * Business Outcomes and Impact

Senior Data Engineer

Boston, MA · On-site +1

$105K - $158K/yr

Understanding of data integration patterns, APIs, and event driven architectures. * Experience supporting AI, machine learning, or advanced analytics workloads. * Business Outcomes and Impact

Senior Data Engineer

Westwood, MA · On-site +1

$105K - $158K/yr

Understanding of data integration patterns, APIs, and event driven architectures. * Experience supporting AI, machine learning, or advanced analytics workloads. * Business Outcomes and Impact

Senior Data Engineer

Boston, MA · On-site +1

$105K - $158K/yr

Understanding of data integration patterns, APIs, and event driven architectures. * Experience supporting AI, machine learning, or advanced analytics workloads. * Business Outcomes and Impact

Senior Principal AI Engineer

Boston, MA · On-site

$136K - $187K/yr

... patterns in generative AI and agentic systems to inform platform strategy Required Qualifications * Bachelor's degree in Computer Science, Software Engineering, Machine Learning, Data Engineering, or ...

Senior Principal AI Engineer

Boston, MA

$136K - $187K/yr

... patterns in generative AI and agentic systems to inform platform strategy Required Qualifications * Bachelor's degree in Computer Science, Software Engineering, Machine Learning, Data Engineering, or ...

next page

Showing results 1-20

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?

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.

Infographic showing various Patterned Learning Ai job openings in Massachusetts as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

AI Solutions Architect

Boston, MA • On-site

Xoriant Corporation
IT Services • 1 - 5K employees

$68.50 - $90.25/hr

Other

Posted 5 days ago


Job description

AI Solutions Architect

Boston, MA (Hybrid Onsite)

2 Virtual & 1 F2F at MA/NY

Strong AWS Bedrock experience

Prompt engineering

Model development & Orchestration        

ML tooling

Python Scripting

Develop Agentic Workflows

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.  
  • 8+ years of experience in solution architecture, application design, or software engineering, with at least 3+ years focused on AI/ML system architecture.  
  • Demonstrated experience architecting and deploying GenAI workloads using AWS Bedrock, AWS S3, OpenSearch, Lambda, and IAM.
  • Proven experience designing autonomous or semi-autonomous agentic systems, tool-use interfaces, and multi-agent collaborative workflows.  
  • Expert knowledge of prompt design patterns, context-window management, and output-structuring techniques.
  • Fluent in Python with deep experience in AI libraries (Pydantic, AsyncIO, NumPy, Pandas, FastAPI, etc.).
  • Experience setting up vector databases (e.g., Pinecone, Qdrant, PGVector), embedding models, and MLOps tracking tools.

Preferred Qualifications

  • Prior experience in financial services, asset management, or banking domains.
  • AWS Certified Solutions Architect or AWS Certified Machine Learning / AI Specialty certifications.
  • Hands-on experience with alternative cloud providers (Azure OpenAI, Google Cloud Platform Vertex AI) and enterprise integration patterns.
  • Familiarity with fine-tuning techniques (LoRA, QLoRA) and guardrailing technologies (Guardrails AI, NeMo Guardrails, AWS Bedrock Guardrails).