Lead AI & Machine Learning Systems Architect
Full-time
- Chicago, IL (Hybrid)
$195,000 - $225,000 / yr
ActivePosition Description & Requirements
We are seeking a seasoned Lead AI & Machine Learning Systems Architect to oversee the design and deployment of enterprise generative AI pipelines and autonomous workflow architectures for our Fortune 500 partners.
Key Responsibilities:
- Lead the architectural vision for large language model (LLM) fine-tuning, retrieval-augmented generation (RAG), and agentic task orchestration.
- Collaborate directly with client executive engineering leaders to ensure high-throughput low-latency inference performance across distributed Kubernetes clusters.
- Establish robust AI safety protocols, model evaluation benchmarks, and Zero-Trust data governance standards.
Qualifications & Requirements:
- BS/MS in Computer Science, Data Science, or equivalent engineering discipline.
- 7+ years of distributed backend and machine learning systems experience (Python, PyTorch, LangChain, TensorFlow).
- Hands-on expertise with vector databases (Pinecone, Weaviate, Qdrant) and cloud platforms (AWS Bedrock / GCP Vertex AI).
Key Responsibilities:
- Lead the architectural vision for large language model (LLM) fine-tuning, retrieval-augmented generation (RAG), and agentic task orchestration.
- Collaborate directly with client executive engineering leaders to ensure high-throughput low-latency inference performance across distributed Kubernetes clusters.
- Establish robust AI safety protocols, model evaluation benchmarks, and Zero-Trust data governance standards.
Qualifications & Requirements:
- BS/MS in Computer Science, Data Science, or equivalent engineering discipline.
- 7+ years of distributed backend and machine learning systems experience (Python, PyTorch, LangChain, TensorFlow).
- Hands-on expertise with vector databases (Pinecone, Weaviate, Qdrant) and cloud platforms (AWS Bedrock / GCP Vertex AI).