Senior AI Architect - Production GenAI & RAG

Socket.dev

Austin (TX)

On-site

USD 150,000 - 230,000

Full time

7 days ago
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Job summary

IPT Associates (IPTA) in Austin, TX is seeking a Senior AI Engineer to architect, build, and deploy production-grade Generative AI applications and autonomous agent workflows for Army decision support products. You will own AI architecture and AI Ops, wiring FM reasoning into data pipelines, visualizations, and business processes.

You will apply deep theoretical knowledge of FMs, attention, embeddings, and reasoning frameworks to build deterministic software that interfaces with

Qualifications

  • DoD Secret clearance required and active.
  • Deep knowledge of Generative AI architectures and FM concepts.
  • 5+ years of enterprise AI and production systems experience.
  • Strong software engineering fundamentals with Python/TypeScript.

Responsibilities

  • Design and orchestrate autonomous AI agents using Palantir AIP.
  • Lead AI architecture for production-grade systems and RAG pipelines.
  • Bridge deterministic backends with probabilistic LLM outputs and strict schemas.
  • Own LLMOps, with automated testing and evaluation for faithfulness and relevancy.
  • Ensure security, data isolation, and governance in a DoD environment.
  • Optimize context windows, latency, and cost with a priority on accuracy.

Skills

Python
TypeScript
OOP
Microservices
Async programming
API design

Tools

Palantir Foundry
Palantir Maven
LangChain
LangGraph
Palantir AIP
Vector databases
pgvector
OpenSearch
Pinecone
Qdrant
Langfuse
Arize Phoenix
TruLens

Job description

IPT Associates (IPTA) in Austin, TX is seeking a Senior AI Engineer to architect, build, and deploy production-grade Generative AI applications and autonomous agent workflows for Army decision support products. You will own AI architecture and AI Ops, wiring FM reasoning into data pipelines, visualizations, and business processes.

You will apply deep theoretical knowledge of FMs, attention, embeddings, and reasoning frameworks to build deterministic software that interfaces with

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