Senior Gen AI Architect: Multi-Agent AI Systems

Quantiphi; Newark (NJ); On-site; USD 150,000 - 230,000; Full time

Job summary

Quantiphi is seeking an experienced Senior Machine Learning Engineer to architect, build, and deploy production-grade agentic AI systems and multi-agent workflows from the ground up in Newark, NJ. The role requires deep expertise in autonomous AI systems that collaborate, reason, and execute complex tasks with minimal human intervention.

You will design end-to-end multi-agent architectures using CrewAI, Langraph, and related tooling, deploy on major clouds (GCP/AWS/Azure), and implement MLOps,

Qualifications

• 6-8 years of hands on experience in machine learning and AI engineering with proven track record of taking ML systems to production.
• Demonstrated expertise in building multi-agent systems and agentic workflows, preferably with Langraph/CrewAI.
• Programming & ML: Expert-level Python proficiency with ML frameworks (TensorFlow, PyTorch, Transformers).
• Experience with vector databases (Pinecone, Weaviate, ChromaDB) and building scalable RAG systems.
• Monitoring & Observability: Experience with LLM application monitoring tools (LangSmith, Weights & Biases, custom telemetry solutions).
• Cloud Platform Expertise: Production-level experience with at least one major cloud platform (AWS, GCP, or Azure).

Responsibilities

• Architect & Build Agentic Systems: Design and develop end-to-end multi-agent systems from scratch, define communication protocols, and build orchestration layers.
• Engineer Advanced Agent Capabilities: Develop custom agent-tools and agent-skills for complex tasks.
• Pioneer Context Engineering: Implement memory systems to maintain state and enable learning from interactions.
• Deploy Production-Grade Solutions: Own deployment, scaling, and maintenance on major cloud platforms with MLOps practices.
• Integrate and Optimize LLMs: Integrate LLMs as core reasoning engines using RAG and PEFT.

Skills

Multi-agent systems

Langraph/CrewAI

Python

ML frameworks

FastAPI

Async programming

Microservices

Vector databases

Pinecone

Weaviate

ChromaDB

LangSmith

Arize AI

Terraform

CloudFormation

CI/CD

Docker

Kubernetes

Tools

CrewAI

Langraph

Pinecone

Weaviate

ChromaDB

TensorFlow

PyTorch

Transformers

GitHub Actions

Jenkins

Terraform

CloudFormation

Docker

Kubernetes

Job description

Quantiphi is seeking an experienced Senior Machine Learning Engineer to architect, build, and deploy production-grade agentic AI systems and multi-agent workflows from the ground up in Newark, NJ. The role requires deep expertise in autonomous AI systems that collaborate, reason, and execute complex tasks with minimal human intervention.

You will design end-to-end multi-agent architectures using CrewAI, Langraph, and related tooling, deploy on major clouds (GCP/AWS/Azure), and implement MLOps,