Data ML Solutions Architect

Summary

Join Provectus, a leading AI and data consultancy, as a Solutions Architect to design, plan, and implement scalable data and ML architectures. Collaborate with internal teams and clients to build cutting-edge solutions in Big Data, machine learning, and real-time analytics. Deliver high-quality, innovative solutions while adhering to best practices. Provide strategic technical leadership on complex customer engagements, managing technical risks and collaborating with cross-functional teams. Drive innovation, optimize customer KPIs, and mentor other architects. This role requires strong technical expertise and leadership skills.

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

Responsibilities

• 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

Preferred Qualifications

• 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

Benefits

• Remote-first work environment with flexible scheduling
• Opportunity to contribute to high-stakes projects for mid-sized and large corporations
• Collaborative culture that values innovation, curiosity, and continuous learning
• Competitive compensation package and professional development support
• Comprehensive benefits, including health, dental, vision, 401(k) with company match, and unlimited PTO
• Diverse professional network across industries and technology domains