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Solutions Architect (AI, Python/Data)

1 week, 4 days ago
Serbia, Armenia, Poland, Ukraine
Full-time
Lead
Solutions Architect
Software Development
Apache Airflow Apache Spark AWS CI/CD Docker FastAPI Flask GCP Generative AI GitHub Actions GitLab CI Go Kafka Kubernetes LLM MLOps Node.js Python REST API Rust
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Provectus

Provectus

Provectus provides consulting services in artificial intelligence and machine learning, assisting businesses in integrating AI solutions to meet their unique objectives and enhance their operational capabilities across various industries.

Professional Services
251-1K
Founded 2010
View All Jobs 35

Description

  • Design and build cloud-native data, LLM-based, and agentic AI solutions for client business challenges.
  • Implement and optimize RAG systems for production use cases.
  • Own the technical direction of client engagements from discovery through delivery.
  • Build and maintain strong relationships with customer stakeholders as a trusted technical advisor.
  • Support presales activities including discovery calls, technical proposals, scoping, and client-facing demos.
  • Write clean, production-grade Python for AI integrations, backend services, and RESTful APIs.
  • Build and maintain ETL/ELT workflows using orchestration and distributed computing tools.
  • Deploy and maintain ML and LLM-based solutions in production environments.
  • Implement MLOps, LLMOps, and AgentOps practices including CI/CD, automated testing, model monitoring, and experiment tracking.
  • Lead architecture reviews, produce technical design documents, mentor engineers, and conduct code reviews.

Requirements

  • 7+ years of experience building and running production systems.
  • Hands-on experience building production LLM-based applications and agentic workflows.
  • Experience integrating AI/ML components into solutions.
  • Experience with LLM APIs such as 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.
  • Strong Python skills including OOP, design patterns, clean architecture, and performance optimization.
  • Experience building RESTful APIs with FastAPI, Django REST, or Flask.
  • Hands-on experience with Docker, Kubernetes, and AWS services such as Bedrock AgentCore, Bedrock, Lambda, ECS, S3, SQS, or ECR; GCP is also considered.
  • Understanding of CI/CD practices applied to ML and AI pipelines.
  • Familiarity with model monitoring, observability, and drift detection.
  • Full-stack mindset across AI, backend development, and cloud infrastructure.
  • B2+ English and comfort collaborating across distributed, multicultural teams.
  • Experience leading client discovery, architecture discussions, and scoped delivery planning.
  • Experience with cost estimation and cloud architecture cost optimization.
  • Nice to have: AWS and Claude Code certifications.
  • Nice to have: CI/CD pipeline experience with GitHub Actions or GitLab CI.
  • Nice to have: experience in an additional language such as Go, Node.js, or Rust.
  • Nice to have: hands-on experience with Apache Spark, Apache Airflow, or Kafka.

Benefits

  • Remote work with flexible hours.
  • Long-term B2B collaboration.
  • Private medical insurance or a budget for medical needs.
  • Paid sick leave, vacation, and public holidays.
  • Access to the latest AI tools and premium subscriptions.
  • Internal training programs, including leadership and public speaking, with support for AWS and other professional certifications.
  • Clear career growth path toward Solutions Architect roles or beyond.
  • Equipment and all the tech needed for comfortable, productive work.

Interested in this position?

Apply directly on the company website

Apply Now

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