Solutions Architect (GenAI, Python/Data, AWS)

Role Overview

Design and build cloud-native data, LLM-based, and agentic AI solutions addressing real client business challenges. Implement and optimize RAG systems for production use cases. Build and maintain strong relationships with key customer stakeholders, acting as a trusted technical advisor.

What You Will Do

Design and build cloud-native data, LLM-based, and agentic AI solutions. Implement and optimize RAG systems. Build and maintain strong relationships with key customer stakeholders.

Why It Might Be a Fit

You will own the technical direction of client engagements from discovery through delivery. You will write clean, production-grade Python across AI integrations, backend services, and RESTful APIs.

Requirements

• Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure
• 7+ years building and running production systems
• Hands-on experience building production LLM-based applications and agentic workflows
• Experience in integrating AI/ML components into solutions
• Experience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock)
• Experience building and optimizing RAG systems
• Understanding of LLM evaluation techniques and quality assurance approaches
• Experience deploying and maintaining AI/ML models in production environments
• Python skills: OOP, design patterns, clean architecture, and performance optimization
• Experience building RESTful APIs with FastAPI, Django REST, or Flask
• Experience in making and defending architectural trade-off decisions
• Experience with Docker and Kubernetes
• Hands-on experience with AWS (Bedrock AgentCore, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered
• Understanding of CI/CD practices applied to ML and AI pipelines
• Familiarity with model monitoring, observability, and drift detection

Benefits

• Opportunity to work with cutting-edge AI and cloud solutions
• Internal training programs (Leadership, Public Speaking, and more) with full support for AWS and other professional certifications
• Career growth: a clear path toward SA or beyond; we actively develop our engineers
• Access to the latest AI tools and premium subscriptions
• Long-term B2B collaboration
• Remote with flexible hours
• Private medical insurance or a budget for your medical needs
• Paid sick leave, vacation, and public holidays
• Equipment and all the tech you need for comfortable, productive work

Originally posted on Himalayas