Data/ML Solution Architect

November 14

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Provectus

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Artificial Intelligence • SaaS

Provectus is an artificial intelligence consultancy and solutions provider that helps businesses transform through AI. Offering both a use case and a platform approach, Provectus integrates AI into organizations to achieve unique business objectives and technical capabilities. Their solutions are cloud-native, vendor-agnostic, and open, allowing for deployment in customer's cloud without restrictive licenses. With applications in industries like retail, manufacturing, and healthcare, Provectus delivers AI-powered use cases and turnkey solutions to drive innovation and efficiency. They also offer consulting, customization, and managed AI services.

501 - 1000 employees

Founded 2012

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• Lead the design and implementation of data and AI/ML architecture solutions across cloud and on-premise platforms. • Lead 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. • Lead 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 the ability to 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. • ** • 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, and Terraform.