AI Native Development lead/ Architect :: Atlanta, GA (Hybrid)

Role : AI Native Development lead/ Architect Location : Atlanta, GA (Hybrid) You will define target architectures, enable engineering teams with reusable patterns and reference implementations, and accelerate delivery using modern AI-assisted development tools. Define end-to-end architecture for AI-native products, including application, data, integration, security, and operations on AWS.Lead design reviews and provide technical direction across Python and C#/.NET codebases.Architect data pipelines and analytical workloads using PySpark and AWS Glue; establish standards for data quality, lineage, and observability.Design and implement scalable APIs and microservices using FastAPI (and/or .NET Web APIs) with clear contracts, versioning, and performance SLAs.Establish reference architectures for LLM/RAG-enabled capabilities (e.g., retrieval patterns, prompt management, evaluation, guardrails) aligned with organizational policies.Partner with Security, Platform, and DevOps teams to implement secure-by-design practices (IAM, secrets, network controls, encryption, threat modeling).Define CI/CD, branching, testing, and release practices; improve developer productivity with automation and paved-road templates.Champion AI-assisted engineering workflows using tools such as GitHub Copilot, Cursor, and Claude AI while ensuring code quality and compliance.Mentor engineers, create technical documentation, and drive adoption of best practices across teams.Required Skills Python: strong hands-on experience building services and data workloads using Python, PySpark, AWS Glue, and FastAPI.C#/.NET: ability to design and review .NET services and libraries; familiarity with modern .NET runtime and patterns.AWS: strong understanding of AWS architecture fundamentals (networking, IAM, compute, storage, managed services) and designing for scale, reliability, and cost.AI Native Development Tools

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