Lead Applied AI Engineer — Architect & Scale AI Solutions

Northern Base; New York (NY); On-site; USD 170,000 - 210,000; Full time

Job summary

Northern Base is seeking a Lead Applied AI Engineer to architect and deliver production‑grade AI systems that integrate Generative AI capabilities, AI agents, and modern enterprise platforms. You will define technical standards, lead enterprise AI adoption, and mentor engineering teams across architecture, deployment, and governance domains.

You will drive scalable AI solutions with responsible AI practices, observability, and cost optimization, ensuring reliability and security while aligning

Qualifications

• Lead enterprise AI adoption and mentor engineering teams.
• Define engineering standards, prompt engineering, testing methodologies and evaluation frameworks.
• Establish performance optimization strategies for model selection, caching and resource use.

Responsibilities

• AI Solution Architecture: design end‑to‑end AI systems with RAG pipelines and multi‑model integrations.
• AI Engineering Standards & Optimization: set standards for prompts, templates, testing and evaluation; optimize performance and costs.
• Production Deployment & Reliability: deploy AI solutions with observability, logging, tracing and incident response.
• Data & Retrieval Architecture: build scalable data ingestion, vector stores, hybrid search and data quality checks.
• AI Evaluation & Continuous Improvement: implement AB testing, benchmarks and telemetry‑driven optimization.
• Platform & Infrastructure Collaboration: coordinate with GPU infra, model serving, feature stores and scalable storage.
• Technical Leadership & Mentoring: guide architecture reviews, code reviews and career development.
• Responsible AI & Compliance: ensure governance, documentation and fairness/transparency.

Job description

Northern Base is seeking a Lead Applied AI Engineer to architect and deliver production‑grade AI systems that integrate Generative AI capabilities, AI agents, and modern enterprise platforms. You will define technical standards, lead enterprise AI adoption, and mentor engineering teams across architecture, deployment, and governance domains.

You will drive scalable AI solutions with responsible AI practices, observability, and cost optimization, ensuring reliability and security while aligning