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Surface Pattern Designer Jobs in Massachusetts (NOW HIRING)

Lila Sciences

Staff Engineer, Data Platform

Cambridge, MA

$125K - $150K/yr

... surfaces this data across the organization. We are looking for a Staff Engineer to set the ... designed. You will establish the architectural patterns and engineering standards the broader team ...

VibeIQ Inc.

Senior Software Engineer (Platform)

Boston, MA · On-site

$130 - $190/hr

AI Infrastructure - the patterns, infrastructure, and deployment guidelines for MCP and agent ... Steward platform SDKs - ensuring they are well-designed, documented, and maintainable. * Design and ...

VibeIQ

Senior Software Engineer (Platform)

Dover, MA · On-site +1

$133K - $176K/yr

AI Infrastructure - the patterns, infrastructure, and deployment guidelines for MCP and agent ... Steward platform SDKs - ensuring they are well-designed, documented, and maintainable. * Design and ...

Medtronic

Sr. Software Engineer - UI/UX (Qt/QML)

Newton, MA · On-site

$142K - $177K/yr

... surfaces clinicians use during procedures and case review. A typical week mixes deep Qt/QML and C ... patterns. * Partner closely with UX designers to translate designs into responsive production ...

Medtronic

Sr. Software Engineer - UI/UX (Qt/QML)

Newton, MA · On-site

$142K - $177K/yr

... surfaces clinicians use during procedures and case review. A typical week mixes deep Qt/QML and C ... patterns. * Partner closely with UX designers to translate designs into responsive production ...

Medtronic

Sr. Software Engineer - UI/UX (Qt/QML)

Newton, MA · On-site

$142K - $177K/yr

... surfaces clinicians use during procedures and case review. A typical week mixes deep Qt/QML and C ... patterns. * Partner closely with UX designers to translate designs into responsive production ...

OneScreen

Founding Machine Learning Engineer

Boston, MA · On-site

Publish ranking and matching APIs for product surfaces, with latency and quality SLOs. * Instrument ... You chose the model, designed the features, made the evaluation methodology calls, and were on the ...

Third Way Health

Senior QA Engineer

Cambridge, MA · On-site

... designing evaluation or verification systems for LLM-based applications -- with a clear ... patterns) that scale across a growing surface area of features. • Solid understanding of voice AI ...

WEX

SRE Architect, AI-Powered Reliability

Boston, MA · On-site

$62 - $82.25/hr

... designed in from the start, not bolted on after the fact. • Establish and govern SLO, SLI, and ... surface contributing factors from logs and traces, and identify systemic patterns across multiple ...

NextGenEnergyJobs

Staff Software Engineer

Boston, MA · On-site

$170 - $230/hr

... and patterns that other teams depend on, and helps the organization move faster with more ... This is a hands‑on role -- the Staff SE writes code, leads designs, and drives delivery -- but ...

New

LangChain

Deployed Engineer (Boston)

Boston, MA · On-site

... Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale ... designed agent-based or LLM-powered applications beyond simple API calls, including multi-step ...

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Showing results 21-40

All JobsSurface Pattern Designer JobsSurface Pattern Designer Jobs in Massachusetts

Surface Pattern Designer information

See Massachusetts salary details

$10

$31

$55

How much do surface pattern designer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for surface pattern designer in Massachusetts is $31.66, according to ZipRecruiter salary data. Most workers in this role earn between $21.78 and $39.38 per hour, depending on experience, location, and employer.

What is a surface pattern designer?

A Surface Pattern Designer creates repeatable patterns and designs for various products, such as textiles, wallpaper, stationery, and packaging. They use hand-drawn or digital techniques to develop visually appealing patterns that enhance a product's aesthetic and market appeal. Their work involves researching trends, developing color palettes, and collaborating with manufacturers or brands to produce commercially viable designs.

What are the common responsibilities of a surface pattern designer?

As a Surface Pattern Designer, you'll typically work on creating repeat patterns and print designs for products such as textiles, wallpapers, apparel, or home goods. Daily tasks may involve researching trends, sketching new ideas, digitizing artwork, and refining designs based on client or team feedback. You may also prepare files for production, collaborate with product developers, and present concepts to internal stakeholders or clients. This variety ensures every day is creative and allows you to see the direct impact of your designs on finished products.

What are the key skills and qualifications needed to thrive as a surface pattern designer?

To thrive as a Surface Pattern Designer, you need a strong background in design principles, color theory, and pattern creation, often supported by a degree in graphic design, textile design, or a related field. Expertise in industry-standard software such as Adobe Illustrator, Photoshop, and CAD tools is crucial, and familiarity with print production methods can be beneficial. Creativity, attention to detail, and strong communication skills help designers collaborate effectively with teams and clients. These abilities ensure the creation of appealing, commercially viable patterns that meet client objectives and production requirements.

How to get into surface pattern design?

To become a surface pattern designer, develop strong drawing and digital design skills using software like Adobe Illustrator or Photoshop. Build a portfolio showcasing your patterns, gain knowledge of trends and textile printing processes, and consider taking courses or tutorials to improve your skills and understanding of the industry.

What does a surface pattern designer do?

A surface pattern designer creates repeating or non-repeating designs for surfaces such as textiles, wallpaper, ceramics, and packaging. They use design software like Adobe Illustrator or Photoshop and often collaborate with manufacturers or clients to develop patterns that align with brand or product aesthetics.

What are popular job titles related to Surface Pattern Designer jobs in Massachusetts?

For Surface Pattern Designer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Surface Pattern Designer jobs in Massachusetts look for?

The top searched job categories for Surface Pattern Designer jobs in Massachusetts are:

Surface Pattern Designer jobs near you
Infographic showing various Surface Pattern Designer job openings in Massachusetts as of August 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $65,852 per year, or $31.7 per hour.

Principal Full Stack AI Engineer

Vertex Pharmaceuticals

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Vertex Pharmaceuticals rating

6.5

Company rating: 6.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

78th of 86 rated pharmaceutical

Job description

Job Description
Position Summary
Vertex is seeking a Full-Stack AI Engineer to help build, extend, and operate our Agentic AI platform end to end. In this role you will develop AI agents and the services, APIs, and interfaces around them, and connect the platform to the systems, tools, and data sources that make AI valuable in real enterprise workflows.
The ideal candidate is a versatile engineer who is comfortable across the stack including backend services and APIs, agent frameworks and orchestration, data and retrieval pipelines, and lightweight front-end experiences with real depth in enterprise integration design, MCP/A2A protocols, event-driven architectures, and authentication patterns. This individual will play a key role in ensuring AI capabilities are embedded into day-to-day work at Vertex and not as isolated proofs of concept, but as production-ready solutions integrated into the enterprise ecosystem.
Key Responsibilities
  • Platform and integrations: connecting the agentic AI platform to enterprise systems, third-party tools, and business-critical services through MCP, A2A, APIs, webhooks, and event-driven patterns

  • Agent and service development: building agents, tools, and the backend services that support tool use, orchestration, memory, and action execution

  • Data and retrieval: making structured and unstructured enterprise content usable by AI workflows through ingestion, retrieval, and grounding patterns

  • User-facing experiences: building and extending lightweight interfaces, chat surfaces, and developer-facing SDKs and connectors that put agents in the flow of work

  • Reliability and governance: observability, evaluation, security reviews, and the standards that keep agentic solutions safe and supportable in a regulated environment

  • Build and ship AI and agentic capabilities end to end-from backend services and APIs to the interfaces and connectors users and developers interact with

  • Design, build, and maintain integrations between the AI/agentic platform and enterprise systems, internal applications, third-party tools, and business services

  • Implement secure, scalable connectivity patterns that enable AI agents and workflows to access data, trigger actions, and interact with enterprise platforms

  • Develop and support integrations using MCP, A2A, APIs, webhooks, and event-driven architectures

  • Create reusable connectors, SDKs, middleware components, and service patterns that accelerate onboarding of new tools and systems into the AI platform

  • Implement agent capabilities such as tool use, orchestration, retrieval, and action execution, and tune them for accuracy, latency, and cost

  • Partner with platform, product, data, security, and enterprise application teams to ensure solutions meet technical, business, and compliance requirements

  • Design robust authentication and authorization patterns for AI services, including identity propagation, token handling, and access control

  • Enable AI workflows to interact reliably with core enterprise platforms such as collaboration tools, knowledge systems, workflow tools, and line-of-business applications

  • Build data and retrieval pipelines that make structured and unstructured sources usable by AI and agentic applications

  • Implement monitoring, logging, tracing, evaluation, error handling, and alerting across agents and integration services

  • Ensure solutions are resilient, maintainable, observable, and aligned with enterprise architecture standards

  • Contribute to platform governance by defining standards, documentation, onboarding guidance, and best practices

  • Troubleshoot and resolve issues related to connectivity, data exchange, authentication, latency, and downstream service dependencies

  • Evaluate emerging standards and tools in AI engineering, system interoperability, and enterprise integration to inform platform evolution

Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related technical field; equivalent practical experience may be considered

  • Experience in software engineering, AI/application engineering, or platform engineering, including shipping production services

  • Full-stack development experience in Python and/or TypeScript, spanning backend services and APIs plus modern front-end or developer-facing surfaces

  • Hands-on experience building with LLMs and agent frameworks, including tool calling, orchestration, retrieval-augmented generation, prompting, and evaluation

  • Strong hands-on experience designing and implementing API-based integrations in enterprise environments

  • Experience with MCP, A2A, service-to-service communication, or similar integration/interoperability patterns

  • Strong understanding of event-driven architecture, messaging systems, asynchronous processing, and workflow-based integration design

  • Experience with authentication and authorization standards such as OAuth, OIDC, SSO, service principals, secrets management, and token-based security

  • Familiarity with enterprise application integration patterns, middleware, and distributed systems design

  • Experience building secure, scalable, and reliable production services on modern cloud platforms

  • Strong problem-solving skills and ability to work across multiple systems, teams, and technical domains

  • Strong written and verbal communication skills with the ability to document and explain technical approaches clearly

  • Understanding of AI-native software engineering practices, including effective and responsible use of AI coding assistants and software engineering agents

Technical Skills
  • Python and/or TypeScript across backend and front-end

  • LLM APIs, agent frameworks, tool calling, and orchestration

  • Prompt design, evaluation harnesses, and quality/cost/latency tuning

  • Retrieval-augmented generation, embeddings, and vector stores

  • MCP and A2A protocols

  • REST APIs and service integration

  • Webhooks and event-driven integration patterns

  • Enterprise application integration

  • Authentication and authorization design

  • OAuth, OIDC, SSO, and token management

  • Distributed systems and microservices

  • Messaging and asynchronous processing

  • Observability, logging, tracing, and monitoring

  • Data exchange patterns across enterprise systems

  • Secure connectivity and secrets management

  • Cloud platforms and cloud-native architectures

  • Error handling, resiliency, and performance optimization

  • Versioning, testing, CI/CD, and deployment of production services

Preferred Skills
  • Experience building or integrating AI and agentic platforms with enterprise tools and business systems

  • Experience with Microsoft AI and cloud technologies such as Azure AI Foundry, M365 Copilot, and agent frameworks

  • Familiarity with workflow orchestration platforms and automation frameworks

  • Experience building reusable connectors or SDKs for platform extensibility

  • Knowledge of enterprise data platforms, document systems, knowledge repositories, and collaboration tools

  • Experience with regulated environments such as biotechnology, pharmaceuticals, healthcare, or life sciences

  • Experience supporting platform governance, security reviews, and technical documentation

  • Understanding of observability and evaluation practices for complex, multi-system agentic workflows

#LI-HYBRID
Pay Range:
$166,640 - $250,000
Disclosure Statement:
The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.
At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.
Flex Designation:
Hybrid-Eligible Or On-Site Eligible
Flex Eligibility Status:
In this Hybrid-Eligible role, you can choose to be designated as:
1. Hybrid: work remotely up to two days per week; or select
2. On-Site: work five days per week on-site with ad hoc flexibility.
Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time.
#LI-Hybrid
Company Information
Vertex is a global biotechnology company that invests in scientific innovation.
Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com

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