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Remote Kitchen Designer Jobs in Ridgefield, CT (NOW HIRING)

Title and Summary Lead Agentic AI Designer Overview Mastercard Services' Operational Intelligence (OI) team is expanding its AI platform with agentic AI and large language model (LLM)-driven ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in financial planning and insurance services. We're looking for driven individuals to join our team as Sales ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in financial planning and insurance services. We're looking for driven individuals to join our team as Sales ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in financial planning and insurance services. We're looking for driven individuals to join our team as Sales ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in financial planning and insurance services. We're looking for driven individuals to join our team as Sales ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in financial planning and insurance services. We're looking for driven individuals to join our team as Sales ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in financial planning and insurance services. We're looking for driven individuals to join our team as Sales ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in financial planning and insurance services. We're looking for driven individuals to join our team as Sales ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in financial planning and insurance services. We're looking for driven individuals to join our team as Sales ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in financial planning and insurance services. We're looking for driven individuals to join our team as Sales ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in financial planning and insurance services. We're looking for driven individuals to join our team as Sales ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in financial planning and insurance services. We're looking for driven individuals to join our team as Sales ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in financial planning and insurance services. We're looking for driven individuals to join our team as Sales ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in financial planning and insurance services. We're looking for driven individuals to join our team as Sales ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in financial planning and insurance services. We're looking for driven individuals to join our team as Sales ...

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Remote Kitchen Designer information

See Ridgefield, CT salary details

$14

$23

$43

How much do remote kitchen designer jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for remote kitchen designer in Ridgefield, CT is $23.62, according to ZipRecruiter salary data. Most workers in this role earn between $19.62 and $23.94 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Kitchen Designer position, and why are they important?

To thrive as a Remote Kitchen Designer, you need expertise in interior design or kitchen planning, strong spatial visualization abilities, and typically a degree or certification in design. Familiarity with CAD software (such as AutoCAD, 2020 Design, or SketchUp), online communication platforms, and rendering tools is essential. Excellent client communication, time management, and problem-solving skills help set outstanding designers apart. These competencies ensure you can deliver functional, attractive kitchen layouts while efficiently collaborating with clients and teams in a virtual environment.

What are some common challenges faced by Remote Kitchen Designers, and how can they be addressed?

One common challenge for Remote Kitchen Designers is clearly understanding client preferences and space limitations without making in-person visits. To overcome this, designers rely on thorough virtual consultations, detailed questionnaires, and requesting accurate measurements and photos from clients. Another challenge is coordinating effectively with vendors, contractors, and installation teams remotely, which requires excellent project management and regular, proactive communication. By mastering virtual collaboration tools and setting clear expectations upfront, remote designers can deliver smooth project experiences and client satisfaction.

What is a Remote Kitchen Designer job?

A Remote Kitchen Designer creates kitchen layouts, selects materials, and provides design recommendations for clients without in-person meetings. They use design software, communicate via phone or video calls, and share digital renderings or plans. This role requires expertise in kitchen functionality, aesthetics, and client needs, ensuring a seamless design process remotely.

What job categories do people searching Remote Kitchen Designer jobs in Ridgefield, CT look for? The top searched job categories for Remote Kitchen Designer jobs in Ridgefield, CT are:
What cities near Ridgefield, CT are hiring for Remote Kitchen Designer jobs? Cities near Ridgefield, CT with the most Remote Kitchen Designer job openings:
Lead Agentic AI Designer

Lead Agentic AI Designer

MasterCard

Purchase, NY • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


Key responsibilities

  • Design, build, and deploy LLM-powered applications and multi-agent AI systems for operational workflows.

  • Integrate agentic AI systems with enterprise data platforms and develop scalable backend services using Python and APIs.

  • Drive production readiness and reliability by implementing monitoring, evaluation, and system observability for AI services.


Job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Lead Agentic AI DesignerOverview
Mastercard Services' Operational Intelligence (OI) team is expanding its AI platform with agentic AI and large language model (LLM)-driven autonomous systems. This role focuses on designing, building, and scaling enterprise-grade, multi-agent AI platforms that power critical operational workflows.
This position begins as a hands-on individual contributor with end-to-end ownership of architecture and delivery. Following a successful initial launch, the role is expected to evolve to include people leadership responsibilities.
The Lead AI Engineer, Agentic AI serves as a senior technical contributor, driving architecture, implementation, and production readiness while partnering closely with Product and mentoring other engineers. They will design and deploy large-scale LLM applications and autonomous agent systems integrated with Mastercard's enterprise platforms. This role emphasizes production-quality engineering, reliability, observability, and close collaboration with product partners to move solutions from proof of concept through MVP and into production.
What You'll Build
Agent-based solutions for:
Reconciliation workflows
Transaction insights and anomaly detection
Operational AI copilots
Systems that evolve from analytics and insights into decision support and autonomous execution
The Role
Agentic AI & LLM Engineering
Design, build, and deploy LLM-powered applications and multi-agent systems.
Architect agent workflows including memory strategies, tool integration, guardrails, and human-in-the-loop (HITL) patterns.
Implement retrieval-augmented generation (RAG) and context engineering using platforms such as Mem0 and Redis.
Platform & Data Integration
Integrate agentic systems with enterprise data platforms, including TI, MEDI, and OR.
Develop reliable, scalable backend services using Python, APIs, and distributed system patterns.
Embed agentic intelligence into payment and operational workflows.
Production Readiness & Reliability
Drive observability, evaluation, and system reliability for production AI services.
Implement monitoring and evaluation approaches to support availability, accuracy, and system performance.
Ensure AI systems meet enterprise standards for scalability, security, and operational excellence.
Delivery, Product Partnership & Mentorship
Partner with Product to take solutions from proof of concept to MVP and production deployment.
Mentor engineers and establish best practices for agentic AI development.
Contribute to technical standards, patterns, and shared frameworks across the team.
All About You
Strong experience building AI/ML or backend systems using modern engineering practices.
Hands-on experience developing LLM-powered applications, RAG pipelines, and agent-based systems.
Proven experience delivering production-scale services in distributed environments.
Strong proficiency in Python, APIs, and distributed systems design.
Ability to independently own complex technical problems and drive them to production.
Technical Skills:
Retrieval and context strategies: RAG, vector-based retrieval
Engineering stack: Python, APIs, distributed systems, cloud-native platforms
Observability, evaluation, and reliability for AI systems
Preferred Qualifications
Experience with agentic AI systems and autonomous workflows
Exposure to fintech, payments, or regulated environments
Experience with vector or graph databases
Cloud deployment experienceMastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility


All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

  • Abide by Mastercard's security policies and practices;

  • Ensure the confidentiality and integrity of the information being accessed;

  • Report any suspected information security violation or breach, and

  • Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.

Pay Ranges

Purchase, New York: $150,000 - $254,000 USD