Senior AI Platform Engineer: Enterprise LLM & Digital Twin

Strategic Alliance Consulting Inc.

Springfield (VA)

On-site

USD 150,000 - 190,000

Full time

4 days ago
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Job summary

Strategic Alliance Consulting Inc. is seeking a Senior AI Platform Engineer to design, build, deploy, and operate production AI capabilities for NGA within a new Digital Ecosystem program.

You will develop reusable services, agent harnesses, and pipelines that support LLMs across enterprise workflows and mission-critical systems. You will work with platform engineers, cybersecurity, enterprise architecture, and mission teams to turn emerging AI technologies into secure, reliable capabilities

Qualifications

  • Active TS clearance with SCI eligibility.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or a related field, or additional relevant experience in lieu of a degree.
  • 10+ years of combined relevant technical experience in software engineering, AI, data, cloud, or platform engineering; at least 5 years in AI/ML.
  • Hands-on experience building, deploying, and supporting production AI-enabled applications or services.
  • Experience developing LLM-enabled applications using model APIs, retrieval-augmented generation, prompt and context engineering.
  • Experience implementing agent-based workflows or AI application harnesses, including orchestration and controls over agent actions.
  • Strong proficiency with Python, APIs, version control, automated testing, and modern software engineering practices.
  • Experience with containers, Kubernetes, CI/CD pipelines, and deployment automation.
  • Experience implementing repeatable AI evaluations and monitoring production behavior.
  • Understanding of AI cybersecurity and governance practices, including data protection and auditability.
  • Experience integrating applications with enterprise systems, data sources, or operational feeds via secure APIs or event-driven interfaces.
  • Ability to translate customer and mission needs into technical designs and working software.
  • Ability to troubleshoot issues across AI applications, integrations, and platform services.
  • Strong written and verbal communication skills and the ability to collaborate with data, platform, cybersecurity, architecture, and mission teams.
  • Strong analytical, written, and verbal communication skills, across mission and technical stakeholder groups.

Responsibilities

  • AI Platform Development: Design and implement reusable AI services, APIs, components, and reference architectures.
  • LLM Integration and Engineering: Build LLM-enabled capabilities using model APIs and retrieval-augmented generation.
  • Agent Harnesses and Workflows: Develop agent harnesses that manage model interactions, context, memory, and tool access.
  • Production Deployment and Operations: Build automated testing and deployment pipelines; manage versioning and monitoring.
  • AI Evaluation and Observability: Develop evaluation datasets and automated tests; instrument services for tracing.
  • AI Governance and Cybersecurity: Implement controls for approved models and data handling; address prompt injection risks.
  • Enterprise Architecture Digital Twin: Build digital twin linking UAF and SysML with enterprise services.
  • Real-Time Model Integration: Create interfaces linking real-time data with model elements; ensure provenance and oversight.
  • AI-Enabled Insights and Visualizations: Develop dashboards and interfaces translating AI findings into actionable insights.
  • Data and Knowledge Integration: Connect AI services with approved data sources; implement metadata and provenance.
  • Digital Ecosystem Integration: Connect AI services with engineering, MBSE, modeling, and mission workflows via governed APIs.
  • Technical Collaboration: Contribute code, reviews, and documentation; help prioritize use cases and transition prototypes to production.

Skills

Python
APIs
Version control
Automated testing
Modern software engineering practices
Communication skills
Troubleshooting
Cross-team collaboration

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or related field

Tools

Kubernetes
CI/CD pipelines

Job description

Strategic Alliance Consulting Inc. is seeking a Senior AI Platform Engineer to design, build, deploy, and operate production AI capabilities for NGA within a new Digital Ecosystem program.

You will develop reusable services, agent harnesses, and pipelines that support LLMs across enterprise workflows and mission-critical systems. You will work with platform engineers, cybersecurity, enterprise architecture, and mission teams to turn emerging AI technologies into secure, reliable capabilities

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