AI Solutions Architect
- As a Principal Digital Architect, you will own the end to end architecture solutions for complex systems—balancing scalability, performance, security, and rapid delivery—while influencing Enterprise technology strategy.
- This role requires strong technical depth, architectural judgment, and the ability to translate ambiguous business needs into durable, scalable solutions.
Education & Experience Required:
- Bachelor’s degree with 5+ years experience in this capacity
Required Technical Skills
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- Experience defining AI reference architectures and standards for enterprise adoption.
- Ability to explain and defend architectural trade offs between classical ML, LLM based approaches, and non AI solutions.
- Proven experience taking AI systems from proof of concept to scaled production use.
- Strong programming background in Python and Java, with the ability to reason at code level.
- Proven experience designing and building enterprise scale, distributed systems.
- Hands on experience with cloud native architectures, including AWS services, containerization, and orchestration (Docker, Kubernetes).
- Deep understanding of data architecture: SQL and NoSQL databases, data warehouses (Snowflake specifically), data modeling, replication, and sharding.
- Experience with modern DevOps practices: CI/CD, infrastructure as code, observability, and automated testing.
- Strong API design experience (REST, GraphQL, gRPC), including versioning and documentation.
- Ability to evaluate and introduce emerging technologies aligned to business goals
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