Role: AI Solution Architect
Location: -Onsite –Santa Ana, CA (3 days onsite)
Duration::12+ Months
Job Description:
Job Summary
We are seeking a highly skilled AI Solution Architect with deep expertise in Data Architecture, AI/ML platforms, and Generative AI solutions, to design and deliver scalable, secure, and enterprise-grade data and AI solutions on Google Cloud Platform (Google Cloud Platform).
The ideal candidate will have strong hands-on experience across data lakehouse architectures, modern BI platforms, ML/MLOps, Conversational Analytics, Generative AI, and Agentic AI frameworks, and will work closely with business, data engineering, and AI teams to drive end-to-end AI-led transformation.
Key Responsibilities Data & Platform Architecture
Required Skills & QualificationsCore Technical Skills
- Strong experience in Data Architecture & Data Platforms
- Hands-on expertise in Data Lakehouse architectures
- Deep understanding of end-to-end data management
- Experience with modern BI platforms and analytics ecosystems
- Strong background in AI/ML architecture and MLOps
- Proven experience in Conversational Analytics and Generative AI
- Hands-on exposure to Agentic AI platforms, frameworks, and evaluations
- Strong expertise in Google Cloud Platform (Google Cloud Platform)
Tools & Technologies (preferred)
- Google Cloud Platform: BigQuery, Vertex AI, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Looker
- AI/ML: TensorFlow, PyTorch, scikit-learn, LLM frameworks
- MLOps: CI/CD, feature stores, model registries, monitoring tools
- Data: SQL, Python, Spark, Kafka
- BI: Looker, Tableau, Power BI (or equivalent)
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field
- Google Cloud Platform Professional certifications (e.g., Professional Data Engineer, Professional ML Engineer, Cloud Architect)
- Experience working in large-scale enterprise or consulting environments
- Strong communication and stakeholder management skills
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