# Solutions Architect (AI, Python/Data) [Provectus](https://gurify.com/jobs?q=Provectus) · Tbilisi · Posted 2 months ago Full-time [AI & ML](https://gurify.com/jobs/ai-ml) [Python](https://gurify.com/jobs/python) [Apply on the original posting → (opens in a new tab)](https://jobs.lever.co/provectus/cd168e4b-04a0-4be6-ba2e-80df4bcee772) ## Job description Solutions Architect (AI, Python/Data) Company: Provectus Location: Yerevan / Belgrade / Novi Sad, Vojvodina / Tbilisi Type: Full-time \n ### 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 \n **Live in Provectus’s hiring system.** Read from the company's own applicant tracking system, not reposted from a job board — so it's a real, open requisition rather than an ad that outlived the role. We remove it as soon as it disappears at source. ## More jobs like this - PR [FDE AI/ Solutions Architect (AI, Python/Data)](https://gurify.com/job/fde-ai-solutions-architect-ai-python-data-at-provectus-e7d39230c673) Provectus · Tbilisi · 2 months ago - PR [FDE AI/ Solutions Architect (AI, Python/Data)](https://gurify.com/job/fde-ai-solutions-architect-ai-python-data-at-provectus-852c3d13411d) Provectus · Tbilisi · 2 months ago - ME [Senior Product Manager (AI Receptionist)](https://gurify.com/job/senior-product-manager-ai-receptionist-at-medvidi-abd1f94e16c9) Medvidi · Tbilisi, Georgia · 3 weeks ago - DA [Solutions Architect (Presales, Data & AI, Digital Native Business)](https://gurify.com/job/solutions-architect-presales-data-ai-digital-native-business-at-2b32bb859961) Databricks · London, United Kingdom · 2 weeks ago - AS [AI Solutions Engineer - Metyis AG](https://gurify.com/job/ai-solutions-engineer-metyis-ag-97c221aca74e) Amsterdam, Netherlands · yesterday - TR [Embedded Data Engineer - ML](https://gurify.com/job/embedded-data-engineer-ml-at-trainline-87a1c4df04fa) Trainline · London · last week ```json {"@context":"https://schema.org/","@type":"JobPosting","title":"Solutions Architect (AI, Python/Data)","description":"\u003Cp\u003ESolutions Architect (AI, Python/Data)\u003Cbr /\u003ECompany: Provectus\u003Cbr /\u003ELocation: Yerevan / Belgrade / Novi Sad, Vojvodina / Tbilisi\u003Cbr /\u003EType: Full-time\u003C/p\u003E\u003Cp\u003E\\n\u003C/p\u003E\u003Ch3\u003EWhat You\u2019ll Do:\u003C/h3\u003E\u003Cp\u003E-\u003Cbr /\u003EDesign and build cloud-native data, LLM-based, and agentic AI solutions addressing real client business challenges\u003C/p\u003E\u003Cp\u003E-\u003Cbr /\u003EImplement and optimize RAG systems for production use cases\u003C/p\u003E\u003Cp\u003E-\u003Cbr /\u003EBuild and maintain strong relationships with key customer stakeholders, acting as a trusted technical advisor.\u003C/p\u003E\u003Cp\u003E-\u003Cbr /\u003ESupport presales: discovery calls, technical proposals, scoping, and client-facing demos\u003C/p\u003E\u003Cp\u003E-\u003Cbr /\u003EOwn the technical direction of client engagements from discovery through delivery \u2014 the go-to authority for clients and the internal team\u003C/p\u003E\u003Cp\u003E-\u003Cbr /\u003EWrite clean, production-grade Python across AI integrations, backend services, and RESTful APIs\u003C/p\u003E\u003Cp\u003E-\u003Cbr /\u003EBuild and maintain ETL/ELT workflows using modern orchestration and distributed computing tools.\u003C/p\u003E\u003Cp\u003E-\u003Cbr /\u003EDeploy ML and LLM-based solutions\u003C/p\u003E\u003Cp\u003E-\u003Cbr /\u003EImplement MLOps, LLMOps, and AgentOps practices: CI/CD, automated testing, model monitoring, and experiment tracking.\u003C/p\u003E\u003Cp\u003E-\u003Cbr /\u003ELead architecture reviews, produce technical design documents, and contribute to standards\u003C/p\u003E\u003Cp\u003E-\u003Cbr /\u003EMentor engineers, lead code reviews, and share knowledge across the team.\u003C/p\u003E\u003Cp\u003EWhat You\u2019ll Bring:\u003Cbr /\u003EMindset\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EFull-stack mindset, comfortable across AI, backend development, and cloud infrastructure\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EAlready using AI tools in your daily workflow (Claude Code, Copilot, or similar)\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EProactive and self-directed; 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