Urgent Hiring ---AI Solution Architect----Santa Ana, CA (Onsite)

[krish alpha]

Hi,

Hope you are doing well.

This side Krishan Kumar from Alpha silicon. If you are interested in this role, please let me know.

Role : AI Solution Architect

Location : Santa Ana, CA (Onsite)

Term:- Contract / FTE Role

 

Role Summary 

Overview:

We are seeking an 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 (GCP).

 

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. You will work closely with business, data engineering, and AI teams to drive end-to-end AI-led transformation.

 

Key Responsibilities:

 

- Data & Platform Architecture: Design end-to-end data architectures (ingestion, processing, storage, governance) and architect modern data lakehouse platforms using GCP services like BigQuery and Dataproc.

- AI, ML & MLOps Architecture: Design architectures for model training, deployment, and monitoring; implement MLOps frameworks including CI/CD for ML and feature stores.

- Generative AI & Agentic AI: Architect and implement GenAI solutions using LLMs, design Conversational Analytics, and build Agentic AI platforms and orchestration frameworks.

- Business Intelligence & Analytics: Design modern BI platforms to enable self-service analytics and AI-driven insights.

- Cloud & GCP Leadership: Lead solution design on GCP utilizing Vertex AI, Dataflow, and Pub/Sub while ensuring best practices for security and cost optimization.

- Stakeholder & Technical Leadership: Translate business requirements into AI-driven solutions, lead technical design reviews, and mentor engineers and data scientists.

 

Required Skills & Qualifications:

 

- Strong experience in Data Architecture, Data Lakehouse, and end-to-end data management.

- Deep expertise in AI/ML architecture, MLOps, Conversational Analytics, and Generative AI.

- Hands-on exposure to Agentic AI platforms and frameworks.

- Extensive experience with Google Cloud Platform (GCP) and related tools (BigQuery, Vertex AI, Looker, etc.).

- Proficiency in SQL, Python, Spark, and ML frameworks like TensorFlow or PyTorch.

- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

- GCP Professional certifications (Data Engineer, ML Engineer, or Cloud Architect) are preferred