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# Senior AI Engineer

- **Company:** IPT Associates
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Programming, Information Engineering, Decision Support Systems, JSON, Python (Programming Language), Network Security, Machine Learning, Apache Maven, Object-Oriented Software Development, Software Architecture, Role-Based Access Control, Regression Testing, Search Technologies, Systems Architecture, Systems Integration, TypeScript, Google Cloud, Large Language Models, Prompt Engineering, State Machines, Generative AI, Indexer, Enterprise Integration, Machine Learning Operations, Api Design, Grpc, Serverless Computing, Microservices
- **Published:** September 18, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9176068/senior-ai-engineer

## About the Role

* Are curious and excited about technology
 * Like solving problems and figuring things out
 * Can take initiative but also enjoy working with a team
 * Want to keep learning, growing, and challenging themselves

If you're someone who's eager to jump in, learn something new, and make an impact-you'll fit right in here., * Security Clearance: Must hold a current, active DoD Secret clearance

 * Theoretical & Systems Depth: Deep theoretical and practical understanding of Generative AI architectures, foundation models, context management, and advanced prompt engineering (e.g., Chain-of-Thought reasoning)
 * Enterprise AI Experience: Proven experience building ontology-driven workflows or AI pipelines within Palantir Foundry, Palantir Maven, or other mature production systems. (Note: Extensive Army Vantage experience is not strictly required if you possess strong analogous production experience)
 * Programming & Systems Integration: 5+ years of experience with advanced proficiency in Python and TypeScript, featuring strong software engineering fundamentals (OOP, microservices, async programming, API design)
 * Agentic Framework Proof Points: Strong working knowledge of frameworks such as LangChain and LangGraph. While Palantir AIP is the primary platform, experience with these frameworks serves as a critical proof point of your architectural capabilities and will support future needs
 * Vector Search & Data Engineering: Proven experience indexing and querying vector databases/extensions (e.g., pgvector, OpenSearch, Pinecone, Qdrant) alongside relational and document datastores
 * Evaluation & Observability: Practical experience using LLM tracing and evaluation tools (e.g., Langfuse, Arize Phoenix, Ragas, TruLens) to diagnose multi-turn agent failures and latency bottlenecks

Preferred Qualifications:

 * Active Top Secret (TS) Clearance
 * Experience operating within DoD Impact Level 5/6 (IL5/IL6) secure network environments
 * Industry Certifications: Recognized applied AI certifications (e.g., Google Cloud Professional Machine Learning Engineer/Generative AI Developer, Claude Architect, AWS Certified Generative AI Developer - Professional, Microsoft Azure AI Engineer Associate)
 * Cloud & Infrastructure: Demonstrated experience consuming model endpoints over REST/gRPC, deploying asynchronous worker queues, and integrating serverless compute/microservices

## Description

* Agentic System Architecture: Design and orchestrate multi-step autonomous AI agents primarily using Palantir AIP. Apply deep theoretical knowledge to implement reliable function calling, state machines, and human-in-the-loop (HITL) checkpoints
 * Theoretical & Applied Architecture: Serve as the team's intellectual lead on modern AI systems. Translate the underlying theory of attention mechanisms, vector embeddings, and reasoning frameworks into practical, production-ready software architecture
 * Deterministic-Stochastic Bridging: Architect resilient stateful backends that safely wrap probabilistic LLM outputs with deterministic validation, retry policies, strict JSON/Pydantic schemas, and structured error handling
 * RAG & Pipeline Integration: Build and scale production RAG pipelines across structured and unstructured Army datasets. Implement hybrid search, advanced chunking, metadata filtering, and re-ranking layers to feed directly into decision support products and visualizations within Foundry
 * AI Ops & Evaluation (LLMOps): Take complete ownership of project LLMOps. Implement automated regression testing and continuous evaluation pipelines for LLM outputs (e.g., faithfulness, semantic relevancy, hallucination detection) to guarantee deterministic accuracy
 * Safety, Security & Governance: Enforce guardrails around context boundaries, data isolation, multi-tenant RBAC, PII redaction, and mitigation against prompt injection/model evasion within a secure DoD environment
 * Performance & Cost Optimization: Manage context window budgets, token consumption metrics, latency profiling, and model routing strategies, strictly adhering to the priority matrix of Accuracy > Speed > Cost


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