Hybrid AI Solutions Architect — Mission Enablement

Mitre Corporation; Bedford (MA); Hybride; USD 98 000 - 146 000; Plein temps

Résumé du poste

MITRE in Bedford, MA, seeks an Intermediate AI Solutions Architect to develop and integrate AI-enabled applications and workflows for mission users. You will translate needs into prototypes, guide secure, repeatable AI usage, and collaborate with cross‑functional teams across MITRE’s AI Enablement landscape.

You will work in a hybrid environment, with on-site presence required three days per week, and pursue a Secret clearance.

Qualifications

• Minimum of 2 years of related experience with a Bachelor's degree; or a Master's degree in computer science, artificial intelligence, machine learning, data science, software engineering, systems engineering, or a related technical field; or equivalent combination of related education and work experience.
• Must be eligible to obtain and maintain a Secret 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.
• Experience developing, integrating, testing, or supporting applied AI solutions, AI/ML workflows, AI‑enabled applications, software services, data integrations, developer environments, or related technical solutions.
• Working technical knowledge of applied AI, AI/ML workflows, LLM APIs, software services, data infrastructure, or developer tooling sufficient to complete a standard range of individual and team assignments using established approaches.
• Experience translating defined user or project needs into working technical components, prototypes, workflows, integrations, documentation, or user guidance; ability to analyze possible solutions to routine technical problems.
• Ability to manage assigned work, exercise judgment within established guidelines, seek guidance when needed, communicate complex technical information in routine situations, and build productive relationships with technical and nontechnical collaborators.
• Ability to work a hybrid schedule with a minimum on‑site presence of 3 days per‑week.
• Graduate degree in computer science, artificial intelligence, machine learning, data science, software engineering, systems engineering, or a related technical field.
• Hands‑on experience with LLM APIs, enterprise AI platforms, agentic tools, Model Context Protocol (MCP) services, retrieval‑enabled systems, AI application development, or AI‑enabled developer experiences.
• Experience prototyping, integrating, testing, or documenting AI applications, agentic workflows, retrieval solutions, reusable prompts, starter kits, or development-environment templates.
• Experience helping users adopt software or AI tools through demonstrations, training, tutorials, office hours, user support, or hands‑on experimentation.
• Experience connecting AI capabilities to software delivery, DevSecOps, data platforms, analytics, knowledge management, or mission workflows; familiarity with containers, Kubernetes, MLOps, or LLMOps.
• Experience working in on‑premises, hybrid, cloud, or controlled computing environments and following established security, access‑control, and data‑handling requirements.
• Experience with data intake, preparation, curation, retrieval, governance, or secure data workflows that support AI applications or analytics.
• Experience contributing reusable technical patterns, setup guidance, evaluation tests, support documentation, or informal knowledge transfer that helps team members and users apply approved capabilities.
• Active Secret clearance.

Responsabilités

• Engage technical and mission users to clarify objectives, workflows, data needs, security constraints, and routine adoption challenges; translate defined needs into prototypes, integration tasks, and implementation guidance within established solution approaches.
• Develop, integrate, test, and document AI‑enabled applications and workflows using approved tools, services, APIs, agents, retrieval approaches, data sources, and developer environments; apply existing architecture patterns and seek review when needed.
• Support secure, responsible, and repeatable use of AI in mission, engineering, analytic, and software‑development workflows by applying established onboarding, evaluation, data‑handling, and support procedures.
• Analyze alternative approaches to routine technical problems using technical experience, judgment, and established precedents; troubleshoot integration issues, document tradeoffs, and escape unfamiliar or complex risks to more senior staff.
• Adapt and improve existing AI workflows, prompt patterns, agentic components, starter kits, data integrations, and development templates; contribute tested examples and technical guidance to shared enablement resources.
• Deliver routine demonstrations, training, office hours, and technical support for approved AI capabilities; explain technical information clearly, resolve common user issues, and recommend improvements based on recurring feedback.
• Collaborate with mission users, AI communities, platform teams, security stakeholders, and related engineering teams to complete defined work; expand knowledge of MITRE capabilities and processes and provide informal guidance to new or junior team members.

Connaissances

AI/ML workflows

LLM APIs

Dev tooling

Data integration

Prototyping

Formation

Bachelor's degree or higher

Master's degree in CS/AI/ML/DS/SE

Description du poste

MITRE in Bedford, MA, seeks an Intermediate AI Solutions Architect to develop and integrate AI-enabled applications and workflows for mission users. You will translate needs into prototypes, guide secure, repeatable AI usage, and collaborate with cross‑functional teams across MITRE’s AI Enablement landscape.

You will work in a hybrid environment, with on-site presence required three days per week, and pursue a Secret clearance.