Data & ML Solution Architect – Generative AI & AWS

About the role

Provectus is seeking a Data & ML Solution Architect to design, plan, and implement scalable data and machine‑learning architectures on cloud and on‑premise environments. The role involves collaborating with internal teams, clients, and stakeholders to deliver innovative Big Data, AI, and real‑time analytics solutions.

Key responsibilities

• Lead design and implementation of data and AI/ML architecture solutions across cloud (AWS, GCP, Azure) and on‑premise platforms.
• Drive complex customer engagements, providing strategic technical vision aligned with business goals.
• Build and maintain trusted relationships with key stakeholders, acting as a technical advisor.
• Define and execute data lifecycle processes including ingestion, storage, processing, and visualization.
• Ensure solutions comply with security, governance, and architecture frameworks such as AWS Well‑Architected.
• Mentor cross‑functional teams and guide technical talent.
• Design and run proofs of concept for emerging technologies like Generative AI and Machine Learning.
• Oversee data governance and data quality across platforms.

Required profile

• 7+ years of experience in solutions architecture with a strong focus on Big Data and cloud platforms.
• Excellent communication and problem‑solving skills, able to articulate complex technical concepts.
• Proven ability to manage multiple projects and lead technical workshops.

Required skills

• AWS
• Google Cloud Platform (GCP)
• Microsoft Azure
• Big Data technologies
• Machine Learning
• Generative AI
• Data ingestion, storage, processing, and visualization
• Data governance and data quality
• AWS Well‑Architected (security and compliance framework)