Python Architect GenAI & AWS

Summary

We are seeking a Python Full Stack Architect to lead the design and development of enterprise‑grade, cloud‑native GenAI solutions for a Wealth Management client. This role combines hands‑on full stack development, system architecture, and technical leadership, with a strong focus on Python, Generative AI, and AWS. You will architect and deliver scalable, secure, production‑ready AI‑driven applications, work closely with business and client stakeholders, and guide engineering teams on best practices across backend, frontend, cloud, and AI integration.

• Architecture & Design
  • Architect end‑to‑end full stack solutions using Python, modern frontend frameworks, and AWS cloud services
  • Design scalable, secure, and high‑availability architectures for GenAI and enterprise applications
  • Define reference architectures, design patterns, and best practices for AI‑enabled platforms
• Backend & GenAI Development
  • Lead development of Python‑based backend systems, APIs, and microservices
  • Architect and implement Generative AI solutions using LLMs, RAG pipelines, vector databases, and AI APIs
  • Integrate AI/ML models into enterprise workflows and backend systems
  • Ensure performance, reliability, observability, and security of AI services
• Full Stack & Frontend
  • Guide full stack development including UI integration with AI‑powered backend services
  • Collaborate on frontend architecture using modern frameworks (React, Angular, or similar)
  • Ensure seamless API contracts and user experience across the stack

• Design and deploy solutions on AWS, leveraging services such as:
  • Compute: EC2, ECS, EKS, Lambda
  • Storage & Data: S3, RDS, Dynamo
    
    DB, Open Search
  • AI/ML:
    Bedrock, Sage Maker (where applicable)
  • Networking & Security: VPC, IAM, API Gateway
• Implement CI/CD pipelines, infrastructure as code, and cloud automation
• Ensure compliance with security, governance, and financial industry standards

• Act as technical lead/architect for client‑facing initiatives
• Collaborate with product owners, data scientists, Dev Ops, and client stakeholders
• Review code, mentor engineers, and drive architectural decisions
• Ensure documentation, quality standards, and long‑term maintainability

• Expert‑level Python development experience
• Strong experience in full stack application architecture
• Hands‑on experience with Generative AI, LLMs, RAG, or AI APIs
• Strong background in API design, microservices, and distributed systems
• AWS cloud architecture and deployment experience
• Ability to work onsite in Charlotte, NC
• Excellent communication and client‑facing skills

• Experience with AWS Bedrock, Sage Maker, or AI model hosting
• Knowledge of vector databases (Open Search, Pinecone, FAISS, etc.)
• Dev Ops experience with Docker, Kubernetes, Terraform, or Cloud Formation
• Financial services or Wealth Management domain experience
• AWS Certifications (Solutions Architect, Dev Ops Engineer)