Provectus

Solutions Architect, AI, Python/Data

Provectus

full-time

Posted on:

Location Type: Remote

Location: Armenia

Visit company website

Explore more

✨ AI Apply
Apply

Job Level

SeniorLead

Tech Stack

AWSCloudDjangoDockerETLFlaskGoogle Cloud PlatformKubernetesPython

About the role

  • 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.

Requirements

  • 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*.
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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonOOPdesign patternsclean architectureperformance optimizationRESTful APIsMLOpsLLMOpsAgentOpsETL/ELT workflows
Soft Skills
relationship buildingtechnical advisingmentoringleadershipcommunication