Senior Solutions Architect: Agentic AI, Remote

LMI Consulting, LLC

United States

On-site

USD 150,000 - 190,000

Full time

14 days+
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Job summary

LMI is seeking a Principal Engineer, Solutions Architecture with strong hands-on development and agentic AI skills to join the CTO development team. This role requires an active Secret clearance and the ability to architect across data models, APIs, and UI for government programs.

You will move quickly across programs, prototype with AI, and drive architecture decisions while ensuring secure, scalable solutions across complex systems.

Qualifications

  • 3–5 years applying full-stack development in a production environment.
  • Demonstrated solutions mindset translating ambiguous requirements into technical design.
  • Experience with agentic AI coding tools to enhance code stacks at scale.
  • Proven full-stack development experience on front-end and back-end systems.

Responsibilities

  • Diagnose before you build: uncover the underlying problem and design solutions.
  • Architect end-to-end solutions across data model, API, and UI.
  • Leverage agentic AI to prototype and integrate new functionality.
  • Drive high-impact, ambiguous problems and shape requirements into architecture.
  • Collaborate with teams and stakeholders to align architecture with mission needs.
  • Ensure compliance with security protocols and government standards.

Skills

Agentic AI
Full-stack development
RESTful APIs
Git
Security/DevSecOps
Communication
Python
TypeScript

Tools

Docker
Kubernetes
Terraform

Job description







Principal Engineer, Solutions Architecture




Job Locations

US-Remote














ID
2026-14312

# of Openings
1





Overview




LMI is seeking a Principal Engineer, Solutions Architecture with strong hands-on development skills and a talent for agentic AI to join the Chief Technology Office development team. This role is for someone who doesn't just write code - they see the whole system, spot the real problem behind the request, and design the solution before they build it. You'll move fast across a portfolio of high-stakes programs, using agentic AI as leverage to turn architecture into working software at speed. This position requires an active Secret security clearance.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors - helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.






Responsibilities




Responsibilities:

Providing direct support to multiple customers, this Principal Engineer, Solutions Architecture will:

    Diagnose before you build: Analyze customer requirements and program objectives to uncover the underlying problem, not just the stated request, and design solutions that align with mission needs.
  • Architect across the stack: Design end-to-end solutions - from data model to API to UI - that are scalable, maintainable, and fit the constraints of large, complex government programs.
  • Leverage agentic AI as a force multiplier: Use advanced agentic AI tools to rapidly prototype, extend, and integrate new functionality into existing code stacks, compressing the distance between idea and working system.
  • Drive high-impact, ambiguous problems: Make quick, high-impact contributions to strategically critical projects, often stepping into programs with incomplete requirements and shaping them into a coherent technical plan.
  • Translate between worlds: Collaborate with development teams, stakeholders, and technical leads to identify pain points in existing systems, propose creative solutions, and build consensus around the right architecture.
  • Move fluidly across programs: Transition seamlessly between programs, applying technical and design judgment to prioritize the highest-impact initiatives.
  • Close the loop: Facilitate integrations, resolve technical challenges, and adhere to development timelines within multidisciplinary teams.
  • Build for the mission, not just the ticket: Ensure compliance with security protocols, government standards, and industry best practices across all projects.
  • Multiply your impact through documentation: Document technical solutions, design rationale, and architectural decisions for knowledge transfer between teams and programs.
  • Validate the design, not just the code: Conduct rigorous testing to guarantee performance, scalability, and reliability of updated or newly architected systems.





Qualifications




Minimum Qualifications
  • Active Secret clearance
  • 3-5 years applying full-stack development in a production environment.
  • Demonstrated solutions mindset: Experience translating ambiguous requirements into a technical design or architecture, not just implementing pre-defined tickets.
  • Experience with agentic AI coding tools: demonstrated proficiency using tools to enhance existing code stacks at scale.
  • Proven full-stack development experience: minimum of 3-5 years developing, maintaining, and improving front-end and back-end systems.
  • Proficient in at least one back-end language (Python preferred) and one front-end framework/tool (TypeScript preferred).
  • Experience designing and consuming RESTful APIs for integration across systems.
  • Strong foundational skills across relational (e.g., PostgreSQL, MySQL, SQL Server) and non-relational (e.g., MongoDB) databases.
  • Comfortable operating in agile environments and collaborating across multidisciplinary teams.
  • Version control proficiency: Git (GitLab preferred).
  • Experience with testing, security, DevSecOps, and CI/CD processes.
  • Strong communication and influence skills: able to pitch a technical solution to both engineers and non-technical stakeholders, and defend the "why" behind an architecture, not just the "how."
Desired Skills
  • Advanced proficiency in agentic AI tools, including designing multi-step or multi-agent workflows to accelerate development.
  • Experience with cloud environments (AWS, Azure, or Google Cloud) for designing and deploying cloud-based solutions.
  • Microservices and containerized architecture experience (Docker, Kubernetes).
  • UI/UX design sensibility - knowledge of React, Vue.js, or Angular used in service of better user outcomes, not just implementation.
  • Infrastructure-as-code fluency (Terraform, Ansible) as part of a broader DevSecOps practice.
  • Data engineering experience: ETL pipelines, data pipeline management, real-time analytics.
  • Security certifications (Security+, CISSP) highly desirable.
  • Advanced Agile/SAFe experience, including shaping sprint planning around architectural priorities.
  • A track record of proposing solutions others hadn't considered - whether that's a novel integration pattern, a smarter data flow, or a way to use AI tooling that saved a program significant time





Job Locations




US-Remote




LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact accommodations@lmi.org
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
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