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
- 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
- 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
- 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
Architecture & Solution Design
Client Engagement & Technical Leadership
Team & Cross-Functional Collaboration
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
- A budget for medical insurance or sports club membership coverage
- Paid sick leave, vacation, and public holidays
- Remote-first environment with flexible working hours aligned to your local time zone
- Long-term B2B engagement
- 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
- Equipment and all the tools you need to work productively
- Opportunity to work with cutting-edge ML, LLM, and agentic AI technologies
- Clear career path toward Leadership or Architect roles
- High-visibility role with exposure to diverse clients and business challenges
- Opportunity to contribute to innovative AI-driven solutions for global clients
- Work alongside experienced experts in AI, Data, and Cloud technologies
Wellbeing & Time Off
Work Flexibility
Learning & Professional Development
Technology & Equipment
Career Growth
Impact & Innovation
Skills Required
- 7+ years of experience in solutions architecture, focusing on Big Data and cloud platforms (AWS, GCP, Azure)
- Excellent communication and problem-solving skills
- Technical sales or pre-sales experience with cloud and big data, ML solutions
- Strong leadership and team collaboration abilities
- Proficiency in data engineering and analytics
- Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions
- Hands-on experience with Kubernetes, Docker, containerized applications
- Proficiency in backend languages: TS, Java, Python
What We Do
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.


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