Sr AI Platform Engineer – Retrieval & Systems
Job in
Fort Mill, York County, South Carolina, 29715, USA
Listed on 2026-06-29
Listing for:
LPL Financial LLC
Full Time
position Listed on 2026-06-29
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Job Overview
The Senior Engineer will design and build core AI knowledge infrastructure that powers intelligent applications across the enterprise. This role focuses on distributed systems, retrieval architectures, and AI platform services, enabling applications and agents to discover, retrieve, and reason over large‑scale enterprise data.
Responsibilities- AI Retrieval & Search Platform Design – Build high‑scale retrieval systems combining keyword search, semantic search, and vector‑based retrieval; develop RAG (Retrieval‑Augmented Generation) infrastructure including indexing, retrieval, ranking, and context assembly.
- Data Pipelines & Indexing Systems – Build streaming and batch pipelines for ingesting and transforming structured and unstructured data, including enrichment pipelines (chunking, embeddings, metadata extraction, classification); design real‑time indexing, incremental updates, and freshness guarantees; optimize data flow, storage, and compute efficiency at scale.
- AI Platform Services & APIs – Build low‑latency, highly available APIs that expose retrieval and knowledge services to applications and AI agents; develop reusable SDKs and service abstractions; enable context retrieval, query understanding, and response augmentation.
- LLM & Intelligent Systems Integration – Integrate LLMs with retrieval systems to enable grounded, context‑aware experiences; build systems for context construction, prompt augmentation, response orchestration; implement evaluation frameworks for relevance and grounding quality; support AI assistants, copilots, search experiences, and automation agents.
- Performance, Scalability & Reliability – Design for low‑latency (
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