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Solutions Architect (AI, Python/Data)

6 hours, 16 minutes ago
Serbia, Georgia, 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 30

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 key customer stakeholders as a trusted technical advisor.
  • Support presales activities including discovery calls, technical proposals, scoping, and client-facing 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 into 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, and contribute to engineering standards.
  • Mentor engineers, lead code reviews, and share knowledge across the team.

Requirements

  • 7+ years building and running production systems, not just demos or POCs.
  • 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.
  • Experience making and defending architectural trade-off decisions.
  • 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 applied to ML and AI pipelines.
  • Familiarity with model monitoring, observability, and drift detection.
  • Full-stack mindset across AI, backend development, and cloud infrastructure.
  • Active use of AI tools in daily workflow such as Claude Code or Copilot.
  • Proactive, self-directed ownership style with end-to-end accountability.
  • B2+ English and comfort collaborating across distributed, multicultural teams.
  • Experience leading client technical relationships, discovery, architecture presentations, and scope management.
  • Ability to produce scoped, phased delivery plans with deliverables, dependencies, and risks.
  • Experience with cost estimation and cloud architecture cost optimization.
  • AWS and Claude Code certifications are a plus.
  • CI/CD pipeline experience with GitHub Actions or GitLab CI is a plus.
  • Experience in an additional language such as Go, Node.js, or Rust is a plus.
  • Hands-on experience with Apache Spark, Apache Airflow, or Kafka is a plus.

Benefits

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

Interested in this position?

Apply directly on the company website

Apply Now

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