ML/Data Solutions Architect

About the Role

Provectus is a global AI and cloud consulting company helping enterprises turn artificial intelligence and data into production-ready business solutions. We specialize in designing, building, and scaling end-to-end AI/ML systems, data platforms, and cloud-native architectures, with deep expertise in AWS, MLOps, and enterprise-grade AI delivery. We are an official Anthropic partner, working with cutting-edge foundation models to help organizations safely and effectively adopt advanced AI capabilities.

We are looking for a Solutions Architect to lead the design and delivery of scalable data and AI/ML architectures across cloud and on-premise environments. In this role, you will own complex client engagements end-to-end, serve as a trusted technical advisor to senior stakeholders, and drive innovation across Big Data, machine learning, and real-time analytics. You will work closely with cross-functional teams, mentoring technical talent and aligning architectural decisions with measurable business outcomes.

What You Will Do

Architecture & Solution Design

  • Lead the design and implementation of data and AI/ML architecture solutions across cloud and on-premise platforms
  • Define and execute data lifecycle processes, including ingestion, storage, processing, and visualization
  • Design and validate proofs of concept for emerging technologies such as Generative AI and Machine Learning
  • Drive best practices for backend and ML services to ensure scalable and maintainable solutions
  • Ensure all solutions adhere to security, compliance, and architecture frameworks such as AWS Well-Architected and GCP Architecture Framework
  • Oversee data governance and data quality processes across platforms
  • Client Engagement & Technical Leadership

  • Lead complex, high-impact customer engagements, providing strategic technical vision aligned with business goals
  • Build and maintain strong relationships with key customer stakeholders, acting as a trusted technical advisor
  • Collaborate with business units and stakeholders to align architectural solutions with organizational objectives
  • Lead technical workshops, training sessions, and client presentations
  • Team & Cross-Functional Collaboration

  • Lead and mentor cross-functional teams, providing guidance to architects and technical leaders
  • Stay current with emerging technology trends and continuously evolve the architecture strategy
  • What You Will Bring

  • 7+ years of experience in solutions architecture with a strong focus on Big Data and cloud platforms (AWS, GCP, or Azure)
  • Proficiency in data engineering and analytics, including designing data pipelines and architectures using cloud-native data stacks
  • Proven experience with data lakes, data warehouses, and real-time data analytics
  • Strong understanding of AI/ML concepts and hands-on experience integrating AI/ML components into solutions
  • Solid understanding of machine learning and MLOps tooling, including PyTorch, SageMaker, and MLflow
  • Proven experience with microservice architecture and containerized deployment
  • Hands-on experience with Kubernetes, Docker, and containerized applications
  • Proficiency in one or more backend languages such as TypeScript, Java, or Python
  • Technical pre-sales or sales experience with cloud, Big Data, and ML solutions
  • Strong leadership, mentoring, and cross-functional collaboration skills
  • Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences
  • Familiarity with agile methodologies
  • Nice to Have

  • Experience implementing Generative AI solutions
  • Proficiency with graph databases such as Neo4j or AWS Neptune
  • Knowledge of data mesh principles and data contracts
  • Operational experience with infrastructure deployment tools such as AWS CDK, CloudFormation, or Terraform
  • What We Offer

    Wellbeing & Time Off

  • A budget for medical insurance or sports club membership coverage
  • Paid sick leave, vacation, and public holidays
  • Work Flexibility

  • Remote-first environment with flexible working hours aligned to your local time zone
  • Long-term B2B engagement
  • Learning & Professional Development

  • Internal training programs covering Leadership, Public Speaking, and technical certifications
  • Full support for AWS and other professional certifications
  • Learning budget and conference attendance
  • Access to the latest AI tools and subscriptions for professional development
  • Technology & Equipment

  • Equipment and all the tools you need to work productively
  • Opportunity to work with cutting-edge ML, LLM, and agentic AI technologies
  • Career Growth

  • Clear career path toward Leadership or Architect roles
  • High-visibility role with exposure to diverse clients and business challenges
  • Impact & Innovation

  • Opportunity to contribute to innovative AI-driven solutions for global clients
  • Work alongside experienced experts in AI, Data, and Cloud technologies
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