2

Remote Deck Designer Jobs in Utah (NOW HIRING)

Remote Deck Designer information

What is a remote deck designer?

A remote deck designer is a professional who creates plans and visual designs for decks, such as patios or outdoor spaces, while working from a remote location rather than on-site. They use digital tools and software to communicate with clients, understand their needs, and develop detailed drawings or 3D renderings of deck projects. Remote deck designers may collaborate with contractors, landscapers, or homeowners to ensure the design is functional, aesthetically pleasing, and compliant with local building codes. Their work often includes selecting materials, planning layouts, and offering recommendations based on the client's budget and space. This role allows for flexible work arrangements and often involves a mix of creative design and technical skills.

What are some common challenges faced by remote deck designers and how can they be managed?

Remote deck designers often face challenges such as limited on-site access, which can make it harder to visualize the space and communicate effectively with clients or contractors. To overcome this, they typically rely on detailed photos, measurements, and virtual meetings to ensure accurate designs. Building strong, proactive communication habits and using collaborative design software can help bridge the distance and ensure everyone stays aligned throughout the project. Additionally, understanding local building codes and materials remotely requires thorough research and sometimes direct coordination with local suppliers.

What are the key skills and qualifications needed to thrive as a remote deck designer?

To thrive as a Remote Deck Designer, you need proficiency in architectural design principles, spatial planning, and a strong understanding of building codes, often supported by a degree in architecture, design, or related fields. Mastery of CAD software such as AutoCAD, SketchUp, or Revit, along with knowledge of project management and collaboration tools, is typically required. Strong communication, creativity, and attention to detail help you effectively interpret client needs and deliver visually compelling designs remotely. These skills ensure that designs are both functional and aesthetically pleasing while meeting client specifications and regulatory requirements, leading to successful project outcomes.

What is the difference between Remote Deck Designer vs Remote Deck Builder?

AspectRemote Deck DesignerRemote Deck Builder
CredentialsDesign certifications, CAD skillsConstruction experience, carpentry skills
Work EnvironmentDesign offices, remote software useRemote or on-site construction sites
Industry UsageArchitectural and design firmsConstruction and remodeling companies
Primary FocusCreating deck plans and layoutsBuilding and installing decks

Remote Deck Designers focus on creating detailed deck plans using design software, often working remotely for clients or firms. In contrast, Remote Deck Builders are involved in the actual construction process, sometimes remotely coordinating projects but primarily focusing on building decks. Both roles require knowledge of deck materials and industry standards, but their core responsibilities differ—design versus construction.

What are the most commonly searched types of Deck Designer jobs in Utah? The most popular types of Deck Designer jobs in Utah are:
What cities in Utah are hiring for Remote Deck Designer jobs? Cities in Utah with the most Remote Deck Designer job openings:
Infographic showing various Remote Deck Designer job openings in Utah as of August 2026, with employment types broken down into 89% Full Time, 5% Part Time, 1% Temporary, and 5% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution.

Consultant - AI Solutions Architect

Cicero Group

Salt Lake City, UT • On-site, Remote

Full-time

Re-posted 23 days ago


Job description

About the Role
MGT is hiring AI Solutions Architects to join our AI Operating Group (AI OG). The AI OG is responsible for both internal AI tool development and client-facing AI solution delivery, primarily serving the state and local government market.
This is a hands-on role. You will design and build AI-powered solutions for real client problems, not write slide decks about what AI could do. You will work across the full lifecycle: discovery, architecture, build, deployment, and iteration. The right person for this role sits comfortably at the intersection of technical capability and business problem-solving.
This is not a traditional software engineering position. It is the cross roads of consulting and building. We need people who can sit in a room with a client, understand their operational challenge, and translate that into a working AI architecture. You should be comfortable with concepts like RAG pipelines, agentic workflows, prompt engineering, and cloud deployment. But your real value is in how you think and solve problems, not just what you can code.
What You'll Do
• Design end-to-end AI solution architectures for client engagements, from problem discovery through production deployment
• Build and implement RAG pipelines, agentic workflows, and multi-agent systems using frameworks such as LangChain and LangGraph
• Architect data pipelines and integration patterns that connect AI capabilities to existing client systems and data sources
• Work with tool-layer integration standards such as MCP (Model Context Protocol) to connect agents with enterprise systems
• Develop reusable components, skills, templates, and accelerators that scale across multiple engagements
• Collaborate with project leads, consultants, and subject matter experts to translate business requirements into technical specifications and solution designs
• Support internal product development across MGT's AI tool suite
• Present technical architectures and solution recommendations to both internal leadership and client stakeholders
• Participate in discovery sessions and workshops to identify high-impact AI use cases within client organizations
Required Qualifications
• 3-5 years of professional experience; does not have to be in AI, but must demonstrate strong technical problem-solving ability and a track record of building solutions that work
• Hands-on experience with one or more of the following: LLM-based application development, retrieval-augmented generation (RAG) architectures, agentic design patterns, prompt engineering, or vector databases
• Demonstrated ability to learn new technical capabilities and platforms quickly
• Strong communication skills; you will work with consultants, clients, and executive leadership, not just engineers
• Ability to independently scope, architect, and deliver technical solutions with minimal oversight
• A builder mentality: you would rather figure it out and ship it than wait for a detailed specification
• Bachelor's degree or equivalent practical experience
Preferred Qualifications
• Experience in consulting, professional services, or client-facing technical delivery
• Background in data architecture, ETL/ELT pipelines, or analytics platforms
• Programming experience in Python or similar languages
• Experience working with cloud-based AI services on any major platform
What Success Looks Like
• Within 30 days: You understand our current tool suite, architecture patterns, and active client engagements. You have shipped something.
• Within 90 days: You are independently architecting solutions for client projects and contributing to internal product development.
• Within 6 months: You are leading technical delivery on engagements, mentoring team members on AI solution patterns, and shaping our approach to new use cases.
Why MGT
You will be joining a team that is actively building and shipping AI products, not talking about them. We have real tools in production, real clients using them, and a leadership team that understands both the technology and the business.
This is a high-visibility role with direct access to senior leadership and the opportunity to shape how AI gets delivered across the organization. We are building the AI practice from the ground up, which means you will have an outsized impact on the tools, processes, and culture of the team.
Our philosophy: clean data foundations first, AI layered on top. Process understanding before automation. Empowering domain experts to build, not centralizing AI capability in a silo. If that resonates with you, this is your team.
NOTE: We currently do not accept candidates who require sponsorship, nor are we able to provide sponsorship opportunities to candidates.
Positions are available in Salt Lake City, Utah; Washington, D.C.; and remote. Remote employees will be expected to travel to an office periodically.