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Solution Architect - AI, Cross Industries - Amazon Web Services
Solutions Architect
Lead AI solution design across industries, crafting scalable, resilient cloud architectures on AWS. Drive end‑to‑end AI adoption, from data strategy to production deployment, leveraging Python, ML, and advanced cloud services.
About the role
Key Responsibilities
- Partner with enterprise customers to understand complex AI challenges and translate them into scalable, secure AWS cloud solutions.
- Design and present end‑to‑end architectures that integrate data ingestion, processing, ML model training, and inference pipelines.
- Guide customers through refactoring legacy applications to cloud‑native, AI‑enabled services, ensuring high availability and cost efficiency.
- Collaborate with sales, product, and engineering teams to capture feedback, refine solution blueprints, and influence roadmap decisions.
- Deliver technical workshops, demos, and proof‑of‑concepts that showcase AI capabilities and best practices.
Requirements
- 5+ years of experience in cloud solution architecture, with a focus on AI/ML workloads on AWS.
- Proficiency in Python, data engineering, and ML frameworks (e.g., TensorFlow, PyTorch, SageMaker).
- Deep knowledge of AWS services such as EC2, S3, Lambda, Step Functions, SageMaker, and IAM.
- Strong communication skills, able to translate technical concepts to non‑technical stakeholders.
- Hands‑on experience designing secure, scalable, and cost‑optimized cloud architectures.
Skills
awsmachine learningpython