ML Solutions Architect (GenAI)
Provectus(1 month ago)
About this role
The ML Solutions Architect role serves as the key technical liaison between clients and internal delivery teams, focusing on designing machine learning architectures that address complex business problems. The position is highly client-facing, combining deep ML and cloud expertise with strong communication and stakeholder management. The architect ensures proposed solutions are feasible, scalable, and aligned with client needs while supporting pre-sales efforts. The role also facilitates smooth handoffs to delivery teams and contributes to internal best practices and reusable solution patterns.
Required Skills
- Solution Design
- ML Lifecycle
- System Design
- Trade Off Analysis
- Feasibility Assessment
- ML Domains
- LLM Solutions
- Classical ML
- Deep Learning
- MLOps Practices
+19 more
About Provectus
provectus.comProvectus is an AI and machine‑learning consultancy that helps organizations design, build, and deploy AI‑powered products and solutions. They offer end‑to‑end services — from strategy and proofs‑of‑concept to production ML engineering, MLOps, generative AI and managed services — combining data science and software engineering expertise. Powering high‑velocity organizations, Provectus focuses on accelerating AI adoption, scaling models in production, and delivering measurable business outcomes.
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