AI Engineer

Job description

Job Family: Engineering Consulting Travel Required: Up to 10% Clearance Required: None What You Will Do: - Build, test, and deploy AI applications and services, translating solution designs and reference architectures into working, demo-ready components. - Implement data and ML pipelines (ingest, transform, feature stores, vector indexes) and wire up retrieval-augmented generation (RAG) and agentic workflows. - Package and serve models (LLMs and traditional ML) via APIs and microservices using containers and orchestration (e.g., Docker, Kubernetes). - Stand up and maintain cloud resources and AI platforms (AWS, Azure, GCP; Palantir; Databricks), including CI/CD, IaC (e.g., Terraform), secrets, and observability. - Integrate AI capabilities (prompt orchestration, tool/function calling, embeddings, fine-tuning) into applications and services. - Collaborate with data scientists, platform engineers, and product teams to iterate on use cases, deliver POCs/MVPs, and harden them for scale. - Contribute to demos, technical documentation, and solution content for proposals and pitch materials. - Follow responsible AI practices and security/compliance requirements across commercial and publi...