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Shield AI
Shield AI
8 open remote positions
Shield AI is a venture-backed defense-tech company that develops intelligent systems to protect service members and civilians. The company has offices across the U.S., Europe, the Middle East, and Asia-Pacific, and fosters a culture of innovation and mission-driven execution.
Salary Distribution
8 of 8 jobs
Benefits Overview
1 of 8 jobs
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(1)
Open Positions
Owns the quarterly enablement bootcamp and tenured seller plans, ensuring measurable productivity gains. Partners with GTM Strategy to convert market priorities into a teachable curriculum and delivery plan. Builds a reusable content library, facilitation network, and readiness measurement system to scale enablement.
Sales Enablement
Go-to-Market Strategy
Facilitation
Content Development
Own and execute Intel/Space Force go-to-market strategy to drive pipeline creation and bookings across Shield AI's full product portfolio. Build and maintain qualified pipeline from early engagement through contract award, owning the full sales cycle. Partner with growth advisors and internal teams to translate operational challenges into funded procurement opportunities.
Business Development
Pipeline Management
Own Gold-layer design and delivery, including facts, dimensions, domain data marts, and governed KPI implementations on Databricks. Build and maintain the enterprise semantic layer through curated views, governed semantic models, and metric definitions. Partner directly with business stakeholders across domains to clarify KPI definitions and resolve competing definitions before implementation.
Databricks
Spark SQL
PySpark
SQL
Design and build ingestion pipelines from enterprise source systems into the Databricks lakehouse using Delta Lake, owning Bronze-layer ingestion and building Silver-layer pipelines for cleansing and standardization. Implement and maintain Databricks platform constructs for secure delivery, including catalogs, schemas, service principals, and job orchestration, and build CI/CD pipelines for data platform assets. Apply data classification and segregation requirements within pipeline design, build data quality controls reflecting business meaning, and partner with teams to ensure reliable, governed data for downstream use.
Databricks
PySpark
Spark SQL
Delta Lake
SQL
You will build AI-assisted tools, workflow automations, agents, prompts, and integrations to reduce manual effort and improve productivity. You will partner with business stakeholders to understand high-friction workflows and deliver fit-for-purpose AI solutions. You will implement engineering controls for data handling, access management, prompt safety, and output validation.
Python
API Design
Large Language Models
RAG Systems
Generative AI
Define and evolve enterprise AI architecture patterns for LLM integration, RAG, agentic workflows, and prompt orchestration. Design and build reusable AI components and shared platform services for observability, logging, and lifecycle management. Architect engineering controls for responsible AI, access management, and governance compliance.
Generative AI
LLM Integration
Own AI operations and governance across the enterprise, ensuring systems are reliable, compliant, and secure. Provide hands-on technical leadership in model evaluation, tuning, and troubleshooting alongside program oversight. Build and lead a team responsible for AI sustainment, including strategic planning and executive communication.
Machine Learning
AI Governance
DevOps
Python
Cloud Infrastructure
Lead end-to-end delivery of complex technical programs across IT, Product, Data, and Business Operations. Design and implement delivery processes and workflows to improve predictability and scale. Manage cross-functional alignment, risks, and governance to ensure on-time delivery.
Project Management
Cross-functional Collaboration
Agile Methodologies
Jira
SDLC