AI Sales Engineer - Commercial Sector

Lockheed 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.

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

Requirements:

• 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
• 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