AI Solutions Architect

MGT

$110K — $130K *
US-AnywhereRemote in United States
Education, Government & Non-Profit
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years professional experience in a technical role, ideally in consulting or client-facing delivery.
  • Bachelor's degree or equivalent practical experience required.
  • Proven ability to develop LLM-based applications and implement RAG architectures.
  • Strong problem-solving abilities with hands-on experience in creating actionable solutions.
  • Comfortable with cloud-based AI services and tools like Python.

Responsibilities

  • Design complete AI solution architectures for diverse client needs.
  • Develop and implement RAG pipelines and agentic workflows.
  • Architect data pipelines that integrate AI solutions with existing client systems.
  • Create reusable components that enhance scalability across projects.
  • Collaborate with various stakeholders to transform business needs into technical solutions.

Benefits

  • Flexible paid time off to accommodate personal needs.
  • 5% 401K matching program to assist in retirement savings.
  • Equity opportunities to promote employee investment in the company.
  • Generous paid parental leave for new parents.
  • Comprehensive health benefits, including fully-funded medical, dental, and vision coverage.
Full Job Description
Job Title: AI Solutions Architect
FLSA Status: Exempt
Full-Time
Location: Salt Lake City, UT; Washington, DC; or Remote

WHAT YOU'LL DO:

The AI Solutions Architect will join MGT's AI Operating Group (AI OG), which is responsible for internal AI tool development and client-facing AI solution delivery, primarily for state and local government clients. This is a hands-on consulting and building role focused on designing and delivering AI-powered solutions for real client problems across discovery, architecture, build, deployment, and iteration. In this role, you will:

  • Design end-to-end AI solution architectures for client engagements, from problem discovery through production deployment.
  • Build and implement retrieval-augmented generation (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, including Model Context Protocol (MCP), to connect agents with enterprise systems.
  • Develop reusable components, skills, templates, and accelerators that can 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 internal leadership and client stakeholders.
  • Participate in discovery sessions and workshops to identify high-impact AI use cases within client organizations.


WHAT YOU'LL BRING:

  • Hands-on experience with one or more of the following: LLM-based application development, retrieval-augmented generation architectures, agentic design patterns, prompt engineering, or vector databases.
  • Strong technical problem-solving ability and a track record of building practical solutions that work in real operating environments.
  • Comfort working at the intersection of consulting and building, including the ability to sit with a client, understand an operational challenge, and translate it into a working AI architecture.
  • Ability to learn new technical capabilities, platforms, frameworks, and deployment patterns quickly.
  • Strong communication skills with the ability to work effectively with consultants, clients, executive leadership, and technical teams.
  • Ability to independently scope, architect, and deliver technical solutions with minimal oversight.
  • A builder mentality, with a bias toward figuring things out, shipping solutions, and iterating based on feedback.
  • Comfort with concepts such as RAG pipelines, agentic workflows, prompt engineering, cloud deployment, and AI solution architecture.


EDUCATION AND EXPERIENCE:

  • Three (3) or more years of professional experience; prior AI experience is not required if the candidate demonstrates strong technical problem-solving ability and a successful track record of building solutions.
  • Bachelor's degree or equivalent practical experience required.
  • Preferred experience in consulting, professional services, or client-facing technical delivery.
  • Preferred background in data architecture, ETL/ELT pipelines, or analytics platforms.
  • Preferred programming experience in Python or similar languages.
  • Preferred experience working with cloud-based AI services on any major platform.
  • Remote employees are expected to travel periodically to an MGT office or client location based on business needs.


WHAT SUCCESS LOOKS LIKE:

  • Within 30 days, you understand MGT's current AI tool suite, architecture patterns, and active client engagements, and you have shipped something.
  • Within 90 days, you are independently architecting solutions for client projects and contributing to internal product development.
  • Within six (6) months, you are leading technical delivery on engagements, mentoring team members on AI solution patterns, and shaping MGT's approach to new AI use cases.


WHY MGT:

You will join a team that is actively building and shipping AI products. MGT has 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 is delivered across the organization. As MGT builds the AI practice from the ground up, this role will have meaningful influence on the tools, processes, and culture of the team.

Our philosophy is clean data foundations first, AI layered on top; process understanding before automation; and empowering domain experts to build rather than centralizing AI capability in a silo.

WHAT WE OFFER:

Our world-class work environment encompasses flexible and remote work options, a commitment to equity, and nationally respected teams in management consulting and technology services. We also offer opportunities to make a profound social impact through innovative projects, and professional development opportunities for career growth. Here you can read more about our extensive Employee Value Proposition (EVP).

Specifically, we will offer you a competitive compensation package including:

  • Flexible paid time off
  • 5% 401K matching program
  • Equity opportunities
  • Incentive and bonus programs
  • Up to 16 weeks of paid parental leave
  • Flexible spending accounts


Full-health benefits with base employee coverage fully funded, comprising:

  • Medical, dental, and vision coverage
  • Life insurance
  • Short and long-term disability coverage
  • Income protection benefits

Similar Jobs

More Jobs at MGT

More Education, Government & Non-Profit Jobs

Find similar AI Solutions Architect jobs: