AI Lead – Platform Intelligence & Applied AI

Job Title: AI Lead – Platform Intelligence & Applied AI – 100% Remote

Location: Chicago, IL

Duration: 6-12 Months

Rate: DOE

Employment Type: Contract

Position Overview

We are seeking an AI Lead – Platform Intelligence & Applied AI to serve as the principal technical authority and strategic architect for artificial intelligence across our enterprise delivery platform.

In this role, you will bridge the gap between cutting-edge AI research and production-grade enterprise execution. You will own the strategy and implementation for model lifecycle management, semantic routing, multi-agent orchestration, contextual intelligence (RAG), and AI safety frameworks.

Required Technical Qualifications

·         LLM & Prompt Engineering: 7+ years of total software engineering experience, with 3+ years dedicated to building and scaling LLM-driven applications. Deep expertise in function calling, structured outputs (Pydantic/JSON mode), and prompt optimization.

·         Agentic Frameworks: Proven experience designing multi-agent systems using frameworks such as LangGraph, AutoGen, CrewAI, or Semantic Kernel.

·         Retrieval Systems (RAG): Hands-on experience with vector databases (e.g., Pinecone, Qdrant, Weaviate, pgvector), hybrid search (BM25 + dense vectors), reranking, and document parsing pipelines.

·         AI Evaluation & Observability: Practical implementation of evaluation frameworks (e.g., Ragas, TruLens, DeepEval, Promptfoo) and LLM monitoring platforms (e.g., LangSmith, Phoenix, Arize).

·         Core Tech Stack: Advanced proficiency in Python and TypeScript/Node.js, alongside REST/gRPC API design and microservices architecture.

·         Cloud & DevOps: Familiarity deploying AI workloads on AWS, Azure, or Google Cloud Platform using Docker, Kubernetes, and serverless architectures.

Preferred Qualifications

·         Experience building platform capabilities for management consulting, legal, or enterprise advisory delivery platforms.

·         Prior experience implementing Guardrails AI or NeMo Guardrails for enterprise-grade risk control.

·         Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.