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Remote Embroidery Machine Operator Jobs in North Carolina

Cache Ventures

Director of Operations

Raleigh, NC · Remote

... operator to turn aggressive growth into a predictable machine. If you've scaled a chaotic $5M-$25M ... Fully remote: globally distributed, optimized for deep work and autonomy * Competitive base ...

Cache Ventures

Head of Operations

Raleigh, NC · Remote

... operator to turn aggressive growth into a predictable machine. If you've scaled a chaotic $5M-$25M ... Fully remote: globally distributed, optimized for deep work and autonomy * Competitive base ...

Cache Ventures

Director of Operations

Raleigh, NC · On-site +1

... operator to turn aggressive growth into a predictable machine. If you've scaled a chaotic $5M-$25M ... Fully remote: globally distributed, optimized for deep work and autonomy * Competitive base ...

Cache Ventures

Head of Operations

Raleigh, NC · On-site +1

... operator to turn aggressive growth into a predictable machine. If you've scaled a chaotic $5M-$25M ... Fully remote: globally distributed, optimized for deep work and autonomy * Competitive base ...

Cache Ventures

VP of Operations

Raleigh, NC · On-site +1

... operator to turn aggressive growth into a predictable machine. If you've scaled a chaotic $5M-$15M ... Energized by growth Benefits Fully Remote Work Work from anywhere. We're a globally distributed ...

Cache Ventures

VP of Operations

Raleigh, NC · Remote

... operator to turn aggressive growth into a predictable machine. If you've scaled a chaotic $5M-$15M ... Energized by growth Benefits Fully Remote Work Work from anywhere. We're a globally distributed ...

Booz Allen Hamilton, Inc.

Data Scientist

Fayetteville, NC · On-site +1

$99K - $225K/yr

Remote Work: Hybrid Job Number: R0246027 Location: Fayetteville,NC,US Share job via: Share Data ... You Have: * 5+ years of experience in data science or machine learning engineer roles * Experience ...

The Hartford

AVP Applied AI

Charlotte, NC · On-site +1

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office ... Ensure consistent application of the Applied AI operating model, decision rights, delivery ...

Wells Fargo

Senior Data Engineer

Charlotte, NC · On-site +1

$103K - $140K/yr

... power machine learning and AI at enterprise scale. The ideal candidate is passionate about ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Booz Allen Hamilton, Inc.

Data Engineer

Fayetteville, NC · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0241674 Location: Fayetteville,NC,US Share job via: Share Data ... Experience operating in DoD environments, such as NIPR, SIPR, or JWICS, and with Army mission data ...

Redhat

Senior Software Engineer

Raleigh, NC · On-site +1

$157K - $195K/yr

... such as Machine API and cluster operators; cloud-native architectures, microservices, and ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

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Remote Embroidery Machine Operator information

What is the difference between Remote Embroidery Machine Operator vs Remote Sewing Machine Operator?

AspectRemote Embroidery Machine OperatorRemote Sewing Machine Operator
CredentialsBasic sewing or embroidery certifications often preferredBasic sewing certifications or experience typically required
Work EnvironmentHome-based or remote setup, using embroidery machinesHome-based or remote, operating sewing machines for various projects
Industry UsageTextile, fashion, custom embroidery servicesApparel, upholstery, textile manufacturing
Job Search IntentCompare embroidery-specific roles with sewing rolesCompare sewing roles with embroidery-specific roles

Remote Embroidery Machine Operators focus on creating detailed embroidery designs, often requiring specialized embroidery machine knowledge. Remote Sewing Machine Operators handle general sewing tasks, including garment assembly or textile finishing. Both roles are remote, require sewing skills, and are used in textile-related industries, but embroidery roles emphasize design and decorative stitching, while sewing roles focus on construction and assembly.

What are the most commonly searched types of Embroidery Machine Operator jobs in North Carolina?

The most popular types of Embroidery Machine Operator jobs in North Carolina are:

What are popular job titles related to Remote Embroidery Machine Operator jobs in North Carolina?

For Remote Embroidery Machine Operator jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Remote Embroidery Machine Operator jobs in North Carolina look for?

The top searched job categories for Remote Embroidery Machine Operator jobs in North Carolina are:

What cities in North Carolina are hiring for Remote Embroidery Machine Operator jobs?

Cities in North Carolina with the most Remote Embroidery Machine Operator job openings:

Remote Embroidery Machine Operator jobs near you
Infographic showing various Remote Embroidery Machine Operator job openings in North Carolina as of August 2026, with employment types broken down into 45% Full Time, 46% Part Time, 7% Temporary, 1% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution.

Principal AI Engineer (Remote)

Cognizant Technology Solutions

Charlotte, NC • On-site, Remote

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Cognizant rating

7.2

Company rating: 7.2 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

53rd of 72 rated business consultants

Job description

Principal AI Engineer (Remote)
Location: Remote
Employment Type: Full-Time
Job ID: 00070203661
About the role
As a Principal AI Engineer, you will make a significant impact by designing, building, and scaling enterprise-grade agentic AI solutions that are secure, trustworthy, and production-ready. You will serve as a senior individual contributor, leading the architecture and implementation of advanced multi-agent systems, model orchestration frameworks, and AI governance capabilities that can be leveraged across multiple strategic initiatives.
You will be a valued member of our AI Engineering team, collaborating with architects, data scientists, software engineers, platform teams, and business stakeholders to establish reusable patterns, raise engineering standards, and accelerate enterprise AI adoption.
In this role, you will:
  • Architect and deliver scalable agentic and multi-agent AI systems, including orchestration, planning, memory, tool integration, and enterprise platform connectivity.
  • Design, develop, and deploy production-grade AI applications, owning technical decisions from proof of concept through operational deployment.
  • Build and optimize model orchestration frameworks that intelligently balance cost, latency, performance, and scalability across multiple model providers and AI services.
  • Develop robust LLM-powered solutions using prompt engineering, Retrieval-Augmented Generation (RAG), context management, structured outputs, and advanced evaluation frameworks.
  • Establish AI governance, safety, and responsible AI controls, including guardrails, validation frameworks, traceability, monitoring, auditability, and compliance mechanisms.

Work model
We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants within the United States.
Regardless of your working arrangement, we are committed to supporting a healthy work-life balance through our wellbeing programs, career development opportunities, and collaborative culture.
What you need to have to be considered
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related discipline, or equivalent practical experience.
  • 8+ years of experience in software engineering, machine learning, or AI engineering, including recent hands-on delivery of production AI or LLM-based solutions.
  • Expert-level Python development experience with modern frameworks such as FastAPI, Pydantic, and asynchronous programming patterns.
  • Deep hands-on experience with agentic AI frameworks such as LangGraph, LangChain, Google ADK, or similar orchestration platforms.
  • Strong expertise in LLM integration, prompt engineering, Retrieval-Augmented Generation (RAG), context management, and evaluation methodologies.
  • Experience designing model selection and orchestration strategies that optimize cost, latency, and response quality across AI workloads.
  • Practical experience in machine learning, model evaluation, fine-tuning, feature engineering, and statistical analysis.
  • Proven experience delivering solutions on cloud platforms using modern MLOps practices, CI/CD pipelines, containers, monitoring, and observability tools.
  • Demonstrated ability to lead complex technical initiatives, mentor engineers, and produce clear architecture and design documentation.

These will help you stand out
  • Experience implementing AI governance, responsible AI, and safety frameworks, including adversarial testing, guardrails, drift detection, auditability, and compliance controls.
  • Hands-on experience with Google Cloud technologies such as Vertex AI, Cloud Run, and BigQuery.
  • Experience with model routing, LLM gateway, or AI orchestration platforms such as LiteLLM, TrueFoundry, or Bifrost.
  • Familiarity with low-latency model serving, inference optimization, and local-model deployment strategies.
  • Knowledge of AI FinOps practices, including predictive budgeting, usage optimization, and cost governance for LLM platforms.
  • Contributions to AI evaluation, observability, monitoring, or governance tooling.
  • Experience operating in highly regulated, security-sensitive, or compliance-driven enterprise environments.
  • Publications, conference presentations, technical blogs, whitepapers, or contributions to the broader AI community.

Salary and Other Compensation:
Applicants will be accepted till 9/18/2026
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
The annual salary for this position will be in the range of $130,000 - $150,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration.
If you are content with ambiguity, excited by change, and excel through autonomy, we'd love to hear from you!
Apply Now!
#LI-IK1
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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