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