Logo for Provectus

Solutions Architect (GenAI, Python/Data, AWS)

Provectus

Role overview

Qualifications

  • 7+ years building and running production systems — not only demos and POCs
  • Hands-on experience building production LLM-based applications and agentic workflows
  • Experience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock)
  • Experience deploying and maintaining AI/ML models in production environments

Responsibilities

  • 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
  • Support presales: discovery calls, technical proposals, scoping, and client-facing demos
  • Own the technical direction of client engagements from discovery through delivery

About the company

Provectus logo

Provectus

Artificial Intelligence & Machine Learning Services

Provectus is an Artificial Intelligence consultancy and solutions provider, helping businesses achieve their objectives through AI. We are recognized by industry think tanks as a leading provider of AI solutions in specific business domains, driven by sophisticated IT service management and tech innovation. Provectus is a value driver and a trusted partner for our clients and employees. Provectus is an AWS Premier Consulting Partner with competencies in Data & Analytics, DevOps, and Machine Learning. We design and build AI solutions for industry-specific use cases, Data and Machine Learning foundation, Cloud transformation, and DevOps adoption.

Company details

Company typeSME
IndustryArtificial Intelligence & Machine Learning Services
Company size501 - 1000

Links

Website LinkedIn See all jobs

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description


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
    •

    Apply once. Then go straight to the hiring manager.

    After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
    Unlocked after you apply
    ·

    Solutions Architect Related jobs

    UkraineSolutions Architect

    Other jobs at Provectus

    Premium

    Reach out to the hiring manager directly.

    Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

    • Full match report with fit score and gaps
    • Career diagnostics on how recruiters read you
    • Curated company matches and warm intros
    • 48h early access to new roles

    Cancel anytime.