remoteonsite
Solutions Architect AI & Data - Programming.com
Solutions Architect
Seasoned Solutions Architect with 10‑14 years of experience designing AI‑driven, data‑intensive platforms on cloud infrastructure, leveraging Python, Spark, and machine‑learning frameworks to deliver enterprise‑scale intelligence solutions.
About the role
Key Responsibilities
- Design and lead end‑to‑end AI and data solutions that meet enterprise scalability, security, and performance requirements.
- Architect cloud‑native platforms on AWS (or equivalent) integrating data pipelines, storage, and ML model serving.
- Collaborate with data scientists, engineers, and product teams to translate business problems into technical specifications and roadmaps.
- Define best practices for data ingestion, processing (e.g., Spark), model training, and deployment, ensuring reproducibility and governance.
- Mentor engineering teams, conduct architecture reviews, and drive continuous improvement of the technology stack.
Requirements
- 10–14 years of experience in AI, data engineering, or solutions architecture roles.
- Strong proficiency in Python and modern machine‑learning frameworks (TensorFlow, PyTorch, Scikit‑learn).
- Hands‑on expertise with big‑data processing tools such as Apache Spark and SQL‑based analytics.
- Deep understanding of cloud services (AWS, including S3, EC2, Lambda, SageMaker) and infrastructure‑as‑code concepts.
- Proven ability to design scalable, secure, and cost‑effective architectures for enterprise AI workloads.
Skills
pythonmachine learningaws