At Provectus, we partner with clients worldwide to unlock value and accelerate transformation through bespoke applications, managed services, and advisory engagements. As a Premier AWS partner at the forefront of Artificial Intelligence solutions, we empower businesses to reimagine their operations and compete in a rapidly changing world. We are seeking a talented Solutions Architect to join our team and lead the design, planning, and implementation of scalable, cloud-based, and on-premise data and ML architectures and backend services. This role will involve collaborating with internal teams, clients, and stakeholders to build state-of-the-art solutions across Big Data, machine learning, and real-time analytics environments. The ideal candidate will provide strategic technical leadership on complex, high-impact customer engagements, driving innovation, optimizing customer KPIs, and mentoring other architects and technical leaders. Key Responsibilities: - Lead the design and implementation of data and AI/ML architecture solutions across cloud and on-premise platforms. - Drive complex customer engagements, providing strategic technical vision and aligning solutions with customer business goals. - Build and maintain strong relationships with key customer stakeholders, acting as a trusted technical advisor. - Develop and deliver technical workshops, training sessions, and presentations. - Define and execute data lifecycle processes: ingestion, storage, processing, and visualization. - Collaborate with business units and stakeholders to align solutions with business goals. - Ensure solutions adhere to security, compliance, and architecture frameworks (e.g., AWS Well-Architected, GCP Architecture Framework). - Lead cross-functional teams, providing mentorship and guidance to technical talent. - Design and execute proofs of concept for emerging technologies like Generative AI, Machine Learning. - Drive backend/ML services best practices for scalable and maintainable solutions. - Oversee data governance and data quality processes across platforms. - Stay updated with the latest technology trends and continuously improve the architecture strategy. Requirements: - 7+ years of experience in solutions architecture, with a strong focus on Big Data and cloud platforms (AWS, GCP, Azure). - Excellent communication and problem-solving skills, with the ability to work across multiple projects and articulate complex technical concepts to both technical and non-technical audiences. - Technical sales or pre-sales experience with cloud and big data, and ML solutions. - Strong leadership and team collaboration abilities. - Strategic thinking with a focus on delivering measurable business value. - Proven ability to build strong relationships with customers and act as a trusted advisor. - Proficiency in data engineering and analytics, designing data pipelines and architectures using AWS, GCP, or Azure data stack. - Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions. - Proven experience with data lakes, data warehouses, and real-time data analytics. - Proven experience with microservice architecture and containerized deployment options. - Hands-on experience with Kubernetes, Docker, and containerized applications. - Proficiency in any of backend backend-related languages: TS, Java, Python, and others. - Solid understanding of machine learning and MLOps tools (PyTorch, SageMaker, MLFlow). - Demonstrated ability to lead and mentor cross-functional teams. - Familiarity with agile methodologies.