Provides technical leadership for an Engineering Generative AI portfolio. Defines architectures, roadmaps, reusable patterns, and secure full-stack solutions spanning applications, APIs, services, data, AI models, and deployment pipelines. Guides prototypes into enterprise-ready systems, evaluates emerging technologies, embeds responsible AI governance, and designs human-centered agentic workflows. Partners across engineering, IT, data, cybersecurity, vendors, and leadership while mentoring technical teams.
Standard Job Description
AI Portfolio Solution Architect
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
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.
Similar Jobs
Artificial Intelligence • Software
Leads and develops a team of Mid-Market Account Executives, driving pipeline, sales activity, revenue performance, forecasting, and complex enterprise deals. Coaches representatives on consultative selling, MEDDICC, stakeholder engagement, and deal strategy. Partners with Solutions, Finance, Marketing, and Product to improve customer outcomes, refine sales processes, strengthen onboarding, and scale best practices. The role also supports hiring, culture development, networking, and conference representation in a remote U.S. position requiring up to 30% travel.
Top Skills:
Ai AgentsAi WorkflowsAutomation ToolsB2B SaasMeddicc
HR Tech • Information Technology • Professional Services • Sales • Software
The SMB Account Executive prospectively generates pipeline, manages full sales cycles, conducts product demonstrations, engages decision-makers, forecasts revenue, and closes SaaS deals with companies of 10–199 employees. The role requires generating 40–50% of pipeline, maintaining Salesforce data, attending industry events, and building relationships with market influencers, consultants, and partners. This is a hybrid role requiring New York Metro candidates to work in the NYC office three days weekly.
Top Skills:
HrisSaaSSalesforce
Information Technology • Security • Cybersecurity
Own the vision, strategy, roadmap, requirements, prioritization, and execution of Dragos’s Neighborhood Keeper collective defense platform. Lead privacy-preserving threat intelligence sharing, federated queries, anonymized telemetry, Knowledge Pack distribution, and Trusted Advisor integrations. Collaborate with engineering, customers, government agencies, ISACs, sales, and legal stakeholders; measure product KPIs; support adoption, go-to-market strategy, onboarding, and community growth across critical infrastructure sectors.
Top Skills:
Anonymization TechnologiesAPIsData ModelsFederated AnalyticsFederated Query SystemsIndustrial Control Systems (Ics)Industrial IotNerc Cip Bes Cyber System RequirementsOperational Technology (Ot)Privacy-Preserving TechnologiesThreat IntelligenceXot Cybersecurity
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
