Solutions Architect (AI, Python/Data)

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 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. Nice to Have - AWS and Claude Code Certifications - CI/CD pipeline experience (GitHub Actions, GitLab CI) - Experience in an additional language (Go, Node.js, or Rust). - Hands-on experience with Apache Spark, Apache Airflow, Kafkа What We Offer: - 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