Lockheed Martin · 9 hours ago
AI Sales Engineer - Commercial Sector
United States
Full-time
Remote
Mid, Senior Level
3+ years expLockheed Martin is a leading aerospace and defense company, and they are seeking an AI Sales Engineer for the commercial sector. This role serves as a technical bridge between AI solutions and enterprise customers, focusing on delivering technical demonstrations and architecting solutions to drive AI adoption across various industries.
National DefenseCyber SecurityAerospaceManufacturingMachinery ManufacturingMilitaryNational SecurityRemote SensingSecurity
No H1B
U.S. Citizen Only
Responsibilities
Lead technical discovery sessions to understand customer requirements, existing ML infrastructure, data environments, and integration constraints across diverse commercial technology stacks
Develop and deliver customized product demonstrations showcasing AI agent workflows, generative AI applications, and ML lifecycle management tailored to industry-specific use cases
Assess customer AI/ML maturity and recommend adoption roadmaps aligned with their strategic objectives and competitive landscape
Design proof-of-concept architectures and trial frameworks that accelerate time-to-value for enterprise buyers
Partner with Account Executives throughout the commercial sales cycle, from initial qualification through close, with focus on enterprise and mid-market opportunities
Respond to RFIs/RFPs with accurate technical content, competitive positioning, and differentiated value propositions against commercial AI/ML competitors
Present technical solutions to diverse audiences, from data scientists and ML engineers to CTO/CIO-level executive leadership
Build trusted advisor relationships with customer technical stakeholders, procurement teams, and decision-makers
Support partner channel enablement through technical training, co-selling activities, and ecosystem development with ISVs, SIs, and cloud partners
Maintain deep expertise in Astris AI products, Generative AI frameworks, agent architectures, and MLOps best practices
Stay current on commercial AI industry trends including foundation models, LLM deployment patterns, open-source AI developments, and emerging AI regulations
Collaborate with Product and Engineering teams to provide customer feedback and influence roadmap priorities based on commercial market signals
Develop reusable technical assets including demo environments, reference architectures, ROI calculators, and solution documentation
Support Solution Architects and FDEs during technical handoffs and implementation kickoffs
Qualification
Required
3–7 years of experience in Sales Engineering, Solutions Engineering, Pre-Sales Technical Consulting, or customer-facing technical roles in commercial enterprise software
Strong technical foundation in AI/ML concepts including large language models, generative AI, AI agents, and machine learning operations
Hands-on experience with Python, ML frameworks (PyTorch, TensorFlow, Hugging Face), and cloud platforms (AWS, Azure, GCP)
Understanding of MLOps practices including model versioning, experiment tracking, CI/CD for ML, and model monitoring
Excellent presentation and communication skills with ability to convey complex AI/ML concepts to technical and non-technical audiences
Experience with enterprise sales cycles, complex multi-stakeholder buying processes, and commercial procurement workflows
Preferred
Experience with LLM deployment, prompt engineering, RAG architectures, or AI agent frameworks (LangChain, AutoGen, CrewAI)
Background with MLOps platforms such as MLflow, Kubeflow, Weights & Biases, or similar tools
Experience selling into manufacturing, supply chain, financial services, healthcare, or technology verticals
Familiarity with enterprise data platforms (Databricks, Snowflake, data lakehouse architectures)
Track record of exceeding sales targets and accelerating deal cycles in competitive commercial markets
Experience with partner/channel sales motions, ecosystem development, and co-selling with cloud hyperscalers or system integrators
Demonstrated ability to manage multiple concurrent opportunities and deliver under tight commercial timelines
MBA or business-oriented graduate degree is a plus
Benefits
Flexible work schedules
Comprehensive benefits investing in your future and security
Company
Lockheed Martin
Lockheed Martin is a global security and aerospace company that specializes in advanced technology systems, products, and services. It is a sub-organization of Lockheed Martin.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$6.06BKey Investors
Air Force Research Laboratory
2025-12-05Post Ipo Debt· $3B
2025-08-28Post Ipo Debt· $3B
2023-11-13Grant· $33.7M
Leadership Team
Jim Taiclet
Chairman, President & CEO
Craig Martell
Chief Technology Officer
Recent News
Company data provided by crunchbase