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Solutions Architect (GenAI, Python/Data, AWS)

48 minutes ago
Serbia, Slovakia, Slovenia, Spain, Poland, Ukraine, Armenia
Full-time
Lead
Solutions Architect
Software Development
Apache Airflow Apache Spark AWS CI/CD Docker FastAPI Flask GCP GitHub Actions GitLab CI Go Kafka Kubernetes MLOps Node.js Python REST API Rust
Apply Now
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 43

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.
  • Build and maintain relationships with customer stakeholders as a trusted technical advisor.
  • Support presales activities including discovery calls, technical proposals, scoping, and client demos.
  • Own the technical direction of client engagements from discovery through delivery.
  • Write production-grade Python for 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 in production environments.
  • Implement MLOps, LLMOps, and AgentOps practices including CI/CD, testing, 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 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.
  • Strong Python skills including OOP, design patterns, clean architecture, and performance optimization.
  • Experience building RESTful APIs with FastAPI, Django REST, or Flask.
  • Experience with Docker and Kubernetes.
  • Hands-on experience with AWS services such as Bedrock AgentCore, Bedrock, Lambda, ECS, S3, SQS, and ECR; GCP is considered.
  • Understanding of CI/CD practices for ML and AI pipelines and familiarity with monitoring, observability, and drift detection.
  • B2+ English and comfort working across distributed, multicultural teams.
  • Preferred: AWS and Claude Code certifications, GitHub Actions or GitLab CI, Go, Node.js, Rust, Apache Spark, Apache Airflow, or Kafka.

Benefits

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

Interested in this position?

Apply directly on the company website

Apply Now

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