About the project Provectus is a Premier AWS partner at the forefront of Artificial Intelligence solutions, empowering businesses to unlock value and accelerate their transformation through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, Provectus partners with clients worldwide and is focused on leveraging cloud, data, and AI to reimagine operational and competitive strategies. Key Responsibilities: 1. Design and implement scalable, cloud-based, and on-premise data and ML architectures and backend services. 2. Collaborate with internal teams, clients, and stakeholders to build state-of-the-art solutions across Big Data, machine learning, and real-time analytics environments. 3. Deliver high-quality, innovative solutions while adhering to best practices in architecture, security, and compliance. 4. Provide strategic technical leadership on complex, high-impact customer engagements, designing advanced solutions, managing technical risks, and collaborating with cross-functional teams for successful delivery. 5. Drive innovation, optimize KPIs, and mentor other architects and technical leaders. Skill Requirements: - 7+ years of experience in solutions architecture, focusing on Big Data and cloud platforms (AWS, GCP, Azure). - Excellent communication and problem-solving skills, capable of articulating complex technical concepts to diverse audiences. - Technical sales or pre-sales experience with cloud, big data, and ML solutions. - Strong leadership and team collaboration skills. - Strategic thinking with a focus on delivering measurable business value. - Proven ability to build strong customer relationships and act as a trusted advisor. - Proficiency in data engineering and analytics, designing data pipelines using AWS, GCP, or Azure data stacks. - Strong understanding of AI/ML concepts and integration experience. - Experience with data lakes, data warehouses, and real-time analytics. - Experience with microservice architecture and containerized deployment (Kubernetes, Docker). - Proficiency in backend languages such as TypeScript, Java, Python, etc. - Knowledge of MLOps tools like PyTorch, SageMaker, MLFlow. - Experience leading and mentoring cross-functional teams. - Familiarity with agile methodologies. Nice to Have: - Experience in Generative AI implementations. - Proficiency with graph databases (Neo4j, AWS Neptune). - Knowledge of data mesh principles and data contracts. - Operational knowledge of infrastructure deployment tools like AWS CDK, CloudFormation, Terraform. We are looking for an experienced Solutions Architect who can help us drive innovation and deliver high-quality solutions to our clients.