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# Gen AI Architect

- **Company:** Quantiphi, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, Amazon Elastic Compute Cloud, Microsoft Azure, Computer Programming, Distributed Systems, Monitoring of Systems, HP Systems Insight Manager, Python (Programming Language), Systems Development Life Cycle, Queueing Systems, Tensorflow, Systems Architecture, Cloud Platform System, Pytorch, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Git, Fastapi, Event Driven Architecture, Software Version Control, Serverless Computing, Microservices
- **Published:** September 30, 2026
- **Apply:** https://www.thejobnetwork.com/job/b2d375e6-7d95-4e5a-91bd-57447c66af8c/gen-ai-architect

## About the Role

* 6-8 years of hands on experience in machine learning and AI engineering with proven track record of taking ML systems to production
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 * Demonstrated expertise in building multi-agent systems and agentic workflows, preferably with Langraph/CrewAI
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 * Programming & ML: Expert-level Python proficiency with ML frameworks (TensorFlow, PyTorch, Transformers). Experience with FastAPI, async programming, and microservices architecture
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 * Data & Vector Systems: Hands-on experience with vector databases (Pinecone, Weaviate, ChromaDB) and building scalable RAG systems
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 * Monitoring & Observability: Experience with LLM application monitoring tools (LangSmith, Weights & Biases, custom telemetry solutions)
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 * Proven ability to architect and implement complex AI systems from scratch in production environments, * Cloud Platform Expertise: Production-level experience with at least one major cloud platform (AWS, GCP, or Azure), including, * Experience with prompt engineering techniques, fine-tuning SLMs (PEFT, SFT, RLHF), and model optimization
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 * Knowledge of distributed systems, message queues, and event-driven architectures for agent coordination
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 * Familiarity with SDLC best practices, version control (Git), and agile development methodologies
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 * Experience with tool-calling agents, multi-step workflows, and stateful orchestration (e.g. graphs, planners, routers).

## Description

We are 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. The ideal candidate will have deep expertise in designing autonomous AI systems that can collaborate, reason, and execute complex tasks with minimal human intervention. You will be responsible for creating scalable, robust agentic workflows using cutting-edge frameworks like CrewAI/Langraph, while ensuring enterprise-grade deployment on major cloud platforms.