TL;DR

Associate Distinguished Engineer (AI): Responsible for architecting and scaling next-generation AI systems across enterprises with an accent on AI/ML ecosystems, agentic architectures, large-scale data platforms, and cloud-native engineering patterns. Focus on scalable microservices, model serving layers, retrieval-augmented generation (RAG) pipelines, and autonomous agent workflows.

Location: Atlanta, GA & NYC, NY

Company

%hirify_global% is a Digital Product Engineering company that builds products, services, and experiences that inspire, excite, and delight.

What you will do

Architect enterprise-grade AI systems using LLMs, multimodal models, vector databases, knowledge graphs, and agentic orchestration frameworks.
Design end-to-end pipelines including data ingestion, feature engineering, model training, evaluation, deployment, and feedback loops.
Define and enforce engineering standards for MLOps, LLMOps, data quality, model observability, guardrails, prompt security, and hallucination mitigation.
Consult on scalable microservices, model serving layers, retrieval-augmented generation (RAG) pipelines, and autonomous agent workflows.
Lead complex troubleshooting, debugging, and optimization of AI pipelines and distributed training workloads.

Requirements

12+ years in AI/ML, data engineering, or large-scale distributed systems.
Deep hands-on expertise in foundation models (LLMs, multimodal, vision, speech, embeddings), model finetuning, training, inference optimization, and evaluation.
Strong experience with cloud-native architectures (AWS, Azure, GCP) and data platforms (Databricks, Snowflake, BigQuery, Lakehouse).
Demonstrated ability to design complex AI systems that operate reliably at scale.
Experience influencing senior technology leaders through architectural clarity and technical depth.

Culture & Benefits

Dynamic and non-hierarchical work culture.
Inclusive environment for all employees.
Equal employment opportunities without discrimination.