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.
- 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.
- 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
GeoZone Definition: 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.
- 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 arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.
- Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
- For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
Skills Required
- Experience serving as a technical lead, chief architect, solutions architect, or principal engineer for complex software, data, or AI-enabled systems.
- Hands-on full-stack software engineering experience with 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.
- Ability to lead technical work across Engineering, IT, Data and AI Enablement, cybersecurity, vendors, and executive stakeholders.
- US citizenship due to system access.
- 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.
Lockheed Martin Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lockheed Martin and has not been reviewed or approved by Lockheed Martin.
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Retirement Support — Retirement benefits are described as a standout element, with a strong 401(k) program and options like an employee stock purchase plan. Feedback suggests these features meaningfully enhance total compensation and long‑term financial security.
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Healthcare Strength — Healthcare coverage is portrayed as comprehensive from day one, with multiple plan options, mental health resources, and virtual care. Wellness supports such as on‑site services and preventive programs are also highlighted.
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Flexible Benefits — Work arrangements often include compressed schedules and telework, contributing to a favorable work‑life balance. Feedback suggests this flexibility is a key reason many view the overall package positively.
Lockheed Martin Insights
What We Do
Customer Focus, Innovation and Purpose are Built Into Everything We Do. Lockheed Martin. Your Mission is Ours ™. Headquartered in Bethesda, Maryland, Lockheed Martin is a global security and aerospace company principally engaged in the research, design, development, manufacture, integration and sustainment of advanced technology systems, products and services.
