AI Portfolio Solution Architect (Sr Stf)

Lockheed Martin Corporation; Texas; Remote; USD 148,000 - 276,000; Full time

Benefits offered by this job

Medical, Dental, Vision

Flexible work

Job summary

Lockheed Martin Corporation in the United States seeks an AI Portfolio Solution Architect to provide technical leadership for the Engineering Generative AI portfolio, shaping secure, scalable AI solutions that advance engineering.

You will define architecture across a growing portfolio, guide full-stack delivery from prototype to production, and ensure solutions are measurable, trustworthy, and compliant with Responsible AI Governance and Ethics policies.

Qualifications

• Experience leading complex AI-enabled systems and architectures.
• Hands-on full-stack software engineering across web apps, APIs, services, and cloud platforms.
• Experience designing or integrating Generative AI, LLM, RAG, AI agents, or orchestration.
• Ability to define system architectures, interfaces, security controls, and deployment strategies.

Responsibilities

• Define and evolve the architecture, roadmaps, and reference patterns for the Generative AI portfolio.
• Lead hands-on full-stack solution design from prototype through production across UI, APIs, and deployment pipelines.
• Establish composable, interoperable solution patterns with clear interfaces and reusable components.
• Transition rapid AI prototypes into mature, enterprise-deployable solutions with governance and release criteria.
• Evaluate emerging AI technologies and conduct trade studies to inform investments and risk.
• Design human-centered, auditable AI workflows with transparent outputs and evidence grounding.

Skills

Technical leadership

Full-stack architecture

Generative AI

Security & compliance

Cloud platforms

Tools

APIs

DevSecOps

Kubernetes

Job description

Standard Job Description

Engineering Transformation is seeking an AI Portfolio Solution Architect to provide technical leadership for the Engineering Generative AI portfolio. This role will shape, build, and continuously improve secure, scalable AI solutions that advance Engineering ways of working.

What You Will Be Doing

In this role, you will serve as the technical authority across a rapidly evolving portfolio of Generative AI and agentic capabilities. You will define architecture, guide full-stack delivery, establish reusable engineering patterns, and ensure solutions are measurable, trustworthy, compliant with Responsible AI Governance and Ethics (RAGE) policies, and ready to scale across Engineering.

Key Responsibilities Will Include The Following

• Define and evolve the technical architecture, roadmaps, and reference patterns for the Engineering Generative AI portfolio, including agentic workflows, retrieval, orchestration, integrations, and user experiences.
• Lead hands-on full-stack solution design and development from prototype through production, spanning front-end applications, APIs, services, data connections, AI models, and deployment pipelines.
• Establish composable, interoperable solution patterns with clear interfaces, versioned baselines, traceability, and reusable components across the portfolio.
• Define the framework for transitioning rapid, AI-assisted and "vibe-coded" prototypes into mature, enterprise-deployable solutions, including approved development environments, architecture patterns, code quality, security, testing, documentation, ownership, and release criteria.
• Evaluate emerging AI technologies, models, frameworks, and vendor capabilities; conduct technical trade studies, prototypes, and recommendations based on mission value, security, cost, performance, maintainability, and RAGE policy compliance.
• Design human-centered, human-gated AI workflows that provide transparent outputs, source-grounded evidence, appropriate controls, and auditable decision support.
• Embed RAGE requirements into solution architecture, development, testing, deployment, monitoring, and lifecycle management; identify and address responsible-AI risks before release.
• Partner with Engineering users, Data and AI Enablement, IT Applications, cybersecurity, and platform teams to translate priorities into deployable, supportable solutions.
• Mentor technical contributors and provide technical direction to internal and partner delivery teams.

Further Information About This Opportunity

This role is fully remote. US Citizenship is required due to system access.

Basic Qualifications

• Experience serving as a technical lead, chief architect, solutions architect, or principal engineer for complex software, data, or AI-enabled systems.
• Demonstrated hands-on full-stack software engineering experience, including modern web applications, APIs, backend services, cloud platforms, and DevSecOps practices.
• Experience designing, developing, or integrating Generative AI, LLM, RAG, AI agent, orchestration, or machine-learning-enabled solutions.
• Experience defining system architectures, interfaces, integration patterns, security controls, test approaches, and deployment strategies for enterprise applications.
• Demonstrated ability to lead technical work across Engineering, IT, Data and AI Enablement, cybersecurity, vendors, and executive stakeholders.
• US Citizenship is required due to system access.

Desired Skills

• Experience applying responsible AI, AI governance, model-risk management, or AI ethics requirements to AI-enabled solutions.
• Experience with AI evaluation, observability, guardrails, automated testing, red teaming, regression testing, or continuous assurance practices.
• Experience delivering AI-enabled engineering, digital-thread, Model-Based Systems Engineering, PLM, or other complex technical-domain solutions.
• Experience building multi-agent systems, tool-using agents, workflow orchestration, knowledge retrieval, or semantic knowledge solutions.
• Experience with cloud-native architectures, containers, infrastructure as code, CI/CD, event-driven systems, and API management.
• Experience conducting technology trade studies and leading technical modernization or transformation initiatives in aerospace, defense, regulated, or classified environments.

Pay Information

GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost-of-labor differences across the United States. Locations are assigned a Geo Zone based on the primary work location of the role.

GeoZone Definition:

• Full-time salary range (GEOZONE 1): $185400.00 - $344400.00
  • Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc.
• Full-time salary range (GEOZONE 2): $166900.00 - $309900.00
  • Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.
• Full-time salary range (GEOZONE 3): $148300.00 - $275500.00
  • Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.
• Full-time salary range (GEOZONE 4): $133500.00 - $247900.00
  • Includes metropolitan areas such as Camden, AR; Lexington, KY; Lufkin, TX; etc.

At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally.

The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only.

Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.

Benefits offered:

• Medical, Dental, Vision, Flexible work