Solutions Architect (GenAI/LLM)

Huxley; United States; On-site; USD 96,432 - 117,096; Full time

Benefits offered by this job

Health insurance

Retirement savings plans

Paid leave

Life and disability insurance

Job summary

A leading technology firm is seeking a Senior AI Solutions Architect to design and implement cutting-edge AI solutions using AWS. Ideal candidates should possess strong experience in Python development and AI frameworks, particularly LLMs and RAG-based projects. With a focus on infrastructure automation, this role is perfect for mid-senior level professionals looking to advance their careers in AI technology.

Qualifications

• 6-8 years of experience, including 2+ years in AI/ML.
• Hands-on Python development for GenAI or ML projects.
• Experience with LLMs, RAG, and agentic AI frameworks.

Responsibilities

• Design and implement advanced AI solutions in AWS.
• Lead architecture for Generative AI projects.
• Automate infrastructure using Python.

Skills

AWS Solutions Architect Professional Certification

Python development

GenAI experience

Infrastructure as Code

Tools

AWS Bedrock

Amazon SageMaker

AWS Kendra

AWS Lambda

Terraform

AWS CloudFormation

Job description

Solutions Architect (GenAI/LLM)

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This range is provided by Huxley. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$70.00/hr - $85.00/hr

Role Overview

We are looking for a Senior AI Solutions Architect to design and implement advanced AI solutions in AWS. You will lead architecture for Generative AI (GenAI) projects like RAG-based chat bots, agentic AI frameworks, and document processing systems, while coding in Python and automating infrastructure.

Must Have

• AWS Solutions Architect Professional Certification (Required)
• 6-8 years experience, including 2+ years in AI/ML
• Hands‑on Python development for GenAI or ML projects
• GenAI experience: LLMs, RAG, agentic AI frameworks
• Infrastructure as Code: Terraform and CloudFormation

Desired Skills and Experience

• AWS Certified Solutions Architect - Professional (SAP‑C02)
• AWS Bedrock
• Amazon SageMaker
• AWS Kendra
• AWS Lambda
• AWS CloudFormation
• Terraform
• Infrastructure as Code (IaC)

EOE Statement: Specialist Staffing Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

In addition to base pay, employees may be eligible for benefits such as health insurance, health savings accounts, retirement savings plans, life and disability insurance, and paid leave where required by applicable law. Eligibility may vary based on factors such as location and hire date and is subject to change.

To find out more about Huxley, please visit www.huxley.com

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Industries: Technology, Information and Internet