Senior AI Solutions Architect

MITRE

El Segundo (CA)

On-site

USD 144,000 - 215,000

Full time

11 hours ago

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Job summary

MITRE seeks a Senior AI Solutions Architect to design and deliver AI-enabled workflows, reusable patterns, and data integrations. You will independently develop AI tools, agentic components, and developer environments to empower mission teams across engineering, analytics, and software development.

You will collaborate with mission users, platform teams, AI communities, and security services to move from pilots to secure, repeatable AI deployments while meeting governance and security

Qualifications

Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD with relevant experience who can immediately contribute at this job step; or equivalent combination of related education and work experience.
Experience designing, developing, integrating, or enabling applied AI solutions, AI/ML workflows, AI-enabled applications, software services, data platforms, developer environments, platform engineering capabilities, or related technical solutions.
Senior-level technical knowledge in applied AI, AI/ML workflows, LLM APIs, enterprise AI platforms, agentic workflows, data infrastructure, cloud or hybrid platforms, GPU-enabled environments, developer tooling, or related technical domains.

Responsibilities

Engage technical and mission users to understand objectives, workflows, data needs, security constraints, and adoption challenges; translate those needs into AI solution concepts, prototypes, integration plans, reusable patterns, and implementation guidance.
Design, develop, integrate, test, and document AI-enabled applications and workflows using approved AI tools, services, APIs, agents, retrieval-enabled approaches, data integrations, and developer environments.
Help teams move beyond isolated AI experiments toward secure, supported, responsible, and repeatable use of AI in mission, engineering, analytic, software-development, and operational workflows.
Independently evaluate AI solution alternatives and technical tradeoffs using multiple sources of information; identify risks, dependencies, gaps, and practical paths forward across approved data and security environments.
Develop and promote reusable AI workflows, prompt patterns, agentic components, starter kits, development-environment templates, technical guidance, and enablement knowledge that make approved capabilities easier to discover, learn, access, integrate, and apply.
Deliver demonstrations, training, office hours, hands-on experimentation, and high-touch technical support; identify recurring user needs and feedback that improve tools, support models, and adoption pathways.

Skills

Applied AI

LLM APIs

Enterprise AI platforms

Agentic workflows

Data infrastructure

Cloud or hybrid platforms

GPU enabled environments

Dev tooling

Education

Bachelor’s degree or higher

Tools

Kubernetes

Kubeflow

MLOps

AI tooling platforms

Job description

At MITRE, your passion fuels work that impacts our nation and improves lives. This is where your skills strengthen national security, cybersecurity, health, transportation, and citizen services. We’re a nonprofit engineering, applied research, and advanced technology organization working in the public interest. With objectivity and integrity at our core, we lead federally funded research and development centers for U.S. government agencies – collaborating with industry and academia to deliver integrated, high-impact solutions that advance our nation’s health, security, and prosperity. Our people tackle the toughest technical challenges, supported by competitive benefits, meaningful career development, and a culture of innovation, collaboration, and technical excellence. Choose MITRE for a career with purpose — and help shape the future.

Mission Computing, L080, is a new division being established to accelerate how MITRE turns technical possibility into mission capability. We're bringing together supercomputing, AI services, secure lab and cloud infrastructure, and modern engineering tooling, all organized as a front-line function that shapes how teams across MITRE build, experiment, and deliver. The AI and Mission Enablement department is the applied AI and services adoption arm of Mission Computing. Its role is to make MITRE's AI and mission platform investments practical for mission work: giving staff usable paths to approved tools, workflows, reusable patterns, data integrations, development environments, hands‑on experimentation, and high‑touch technical support. The department helps teams move beyond isolated experiments into secure, repeatable ways of using platforms and computing environments in all aspects of their work.

As Mission Computing stands up, AI and Mission Enablement will sit between infrastructure and practice. The department will work with platform teams, mission users, laboratories, Enterprise Technology, Information Security Services, and AI communities across MITRE to standardize how capabilities are discovered, integrated, taught, supported, and scaled across approved data and security environments. Its work is to make AI and platforms easier to learn, easier to trust, easier to connect to MITRE workflows, and easier to apply responsibly to mission problems. AI Enablement is the group that turns platforms, APIs, agents, data workflows, secure compute, and developer experiences into a working foundation for a mission‑centric focused MITRE.

Roles & Responsibilities:

MITRE's AI and Mission Enablement Department within the Mission Computing Division is seeking a Senior AI Solutions Architect to serve as a senior technical individual contributor within AI Enablement. The Senior AI Solutions Architect will independently design and deliver usable paths to approved AI tools, agentic workflows, reusable patterns, data integrations, and AI‑enabled development environments while helping mission teams move beyond isolated experiments into secure, supported, and repeatable AI use.

Engage technical and mission users to understand objectives, workflows, data needs, security constraints, and adoption challenges; translate those needs into AI solution concepts, prototypes, integration plans, reusable patterns, and implementation guidance.
Design, develop, integrate, test, and document AI‑enabled applications and workflows using approved AI tools, services, APIs, agents, retrieval‑enabled approaches, data integrations, and developer environments.
Help teams move beyond isolated AI experiments toward secure, supported, responsible, and repeatable use of AI in mission, engineering, analytic, software‑development, and operational workflows.
Independently evaluate AI solution alternatives and technical tradeoffs using multiple sources of information; identify risks, dependencies, gaps, and practical paths forward across approved data and security environments.
Develop and promote reusable AI workflows, prompt patterns, agentic components, starter kits, development‑environment templates, technical guidance, and enablement knowledge that make approved capabilities easier to discover, learn, access, integrate, and apply.
Deliver demonstrations, training, office hours, hands‑on experimentation, and high‑touch technical support; identify recurring user needs and feedback that improve tools, support models, and adoption pathways.
Collaborate across MITRE with mission users, AI communities, platform teams, Enterprise Technology, Information Security Services, laboratories, software, data, and systems engineering communities, and technical leadership; lead defined technical tasks or small efforts and provide knowledge transfer and informal guidance as appropriate.

Basic Qualifications:

Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD with relevant experience who can immediately contribute at this job step; or equivalent combination of related education and work experience.
Experience designing, developing, integrating, or enabling applied AI solutions, AI/ML workflows, AI‑enabled applications, software services, data platforms, developer environments, platform engineering capabilities, or related technical solutions.
Senior‑level technical knowledge in applied AI, AI/ML workflows, LLM APIs, enterprise AI platforms, agentic workflows, data infrastructure, cloud or hybrid platforms, GPU‑enabled environments, developer tooling, or related technical domains.
Experience translating user, project, or mission needs into reusable technical solutions, workflows, patterns, prototypes, data integrations, implementation guidance, training, or enablement models.
Ability to work independently with minimal guidance, analyze multiple sources of information to solve complex technical problems, communicate complex information clearly, build consensus, and collaborate with technical and nontechnical stakeholders.
Must be eligible to obtain and maintain a Top Secret/SCI U.S Government issued Security Clearance within one year of hire. Per the U.S. Government's eligibility requirements, you must be a U.S Citizen to be considered for a security clearance
Ability to work a hybrid schedule with a minimum of 3 days on‑site presence per week in McLean, VA; Bedford, MA; Colorado Springs, CO; San Diego, CA; Omaha, NE; Ft. Meade, MD; Charlottesville, VA; or Los Angeles, CA and travel up to 5%.

Preferred Qualifications:

Graduate degree in computer science, artificial intelligence, machine learning, data science, software engineering, systems engineering, human‑centered computing, or a related technical field.
Experience with LLM APIs, enterprise AI platforms, agentic tools, MCP services, Agent Skills, MLOps, LLMOps, Kubernetes, Kubeflow, GPU environments, retrieval‑enabled systems, AI application development, or AI‑enabled developer experiences.
Hands‑on experience designing, prototyping, integrating, testing, or documenting AI applications, agentic workflows, retrieval‑enabled solutions, reusable prompt patterns, starter kits, data integrations, or development‑environment templates.
Experience helping technical or mission users adopt AI tools through training, coaching, internal enablement programs, communities of practice, office hours, rapid prototyping events, VibeLab‑style challenges, or hands‑on experimentation.
Experience integrating AI capabilities with software delivery, DevSecOps, data platforms, analytics, modeling and simulation, systems engineering, knowledge management, or mission workflow platforms.
Experience supporting AI workloads across on‑prem, hybrid, cloud, CUI‑capable, classified‑adjacent, or other controlled computing environments.
Experience with data intake, curation, exchange, governance, retrieval, secure data workflows, or mission AI data pipelines.
Experience developing reusable AI patterns, technical guidance, enablement playbooks, quality practices, support models, or other resources that make approved AI capabilities easier to adopt and apply responsibly.
Active TS/SCI clearance.

This requisition requires the candidate to have a minimum of the following clearance(s):

None

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):

Top Secret/SCI

Salary compensation range and midpoint:

$143,600 - $179,500 - $215,400 Annual

Work Location Type:

Onsite

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.

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Benefits information may be found here.

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