SolutionsArchitect(GenAI,Python/Data,AWS)

## What You’ll Do 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. Support presales: discovery calls, technical proposals, scoping, and client-facing demos Own the technical direction of client engagements from discovery through delivery — the go-to authority for clients and the internal team Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs Build and maintain ETL/ELT workflows using modern orchestration and distributed computing tools. Deploy ML and LLM-based solutions Implement MLOps, LLMOps, and AgentOps practices: CI/CD, automated testing, model monitoring, and experiment tracking. Lead architecture reviews, produce technical design documents, and contribute to standards Mentor engineers, lead code reviews, and share knowledge across the team. ## What You’ll Bring Mindset Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure Already using AI tools in your daily workflow (Claude Code, Copilot, or similar) Proactive and self-directed; you own outcomes end-to-end and spot problems before they're handed to you B2+ English, comfortable collaborating across distributed, multicultural teams Presales & Client Engagement Owns the client technical relationship; leading discovery, decomposing ambiguous requirements into technical components, presenting architecture, and pushing back on scope when it doesn't match timeline or budget Produces scoped, phased delivery plans with clear deliverables, dependencies, and risks Experience with cost estimation and cloud architecture cost optimization AI & Python/ Data & Cloud 7+ years building and running production systems — not only demos and POCs Hands-on experience building production LLM-based applications and agenti