Remote Gen AI Architect - AWS & NLP Expert

Quantiphi; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Opportunity to work with Fortune 500 companies

Hands-on experience with cutting-edge technologies

Collaborative team environment

Job summary

Quantiphi is seeking a Gen AI Architect to design and develop advanced machine learning models and algorithms. This role involves optimizing and deploying models on AWS infrastructure, with a focus on natural language processing and agentic AI. Candidates should have over 7 years of relevant experience and strong skills in AWS Machine Learning and Python. The position offers opportunities to lead innovative projects in a high-energy, collaborative environment focused on AI-first digital engineering.

Qualifications

• 7+ years of relevant hands-on technical experience implementing and developing cloud ML solutions on AWS.
• Hands-on experience using AWS Machine Learning services and Sagemaker.
• Strong programming skills in Python with experience in NLP libraries.

Responsibilities

• Design and develop advanced machine learning models to solve complex business problems.
• Work on optimizing and deploying models on AWS infrastructure.
• Integrate agentic workflows with LLMs ensuring high-availability.

Skills

AWS Machine Learning services

Python programming

Natural Language Processing (NLP)

Deep learning concepts

Agentic AI architectures

Workflow orchestration tools

Scalable API implementation

Tools

AWS Sagemaker

Hugging Face Transformers

Airflow

Lambda

Step Functions

Job description

Quantiphi is seeking a Gen AI Architect to design and develop advanced machine learning models and algorithms. This role involves optimizing and deploying models on AWS infrastructure, with a focus on natural language processing and agentic AI. Candidates should have over 7 years of relevant experience and strong skills in AWS Machine Learning and Python. The position offers opportunities to lead innovative projects in a high-energy, collaborative environment focused on AI-first digital engineering.