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AI Solution Architect - San Mateo (Hybrid) - ONLY 6 Weeks Project

Hybrid in San Mateo, CA, US • Posted 58 minutes ago • Updated 58 minutes ago

Contract Independent

Contract W2

On-site

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Data Engineering
IT Architecture
Machine Learning (ML)
Python
JavaScript
Java
Google Cloud Platform
Docker
Artificial Intelligence
Cloud Computing
Machine Learning Operations (ML Ops)
Solution Architecture
Prompt Engineering
Databricks

Summary

Job Title: AI Solution Architect
Location: San Mateo, CA (Hybrid)
Duration: 6 Weeks Contract

Seeking an AI Architect in San Mateo, CA who can design and drive end-to-end AI-powered solutions from data engineering and model architecture to full-stack integration and deployment. This role bridges data platforms, AI/ML systems, and application development, ensuring solutions are scalable, secure, and production-ready.

Requirements
10+ years in software/solution architecture, with 4+ years specifically in AI/ML architecture.
AI/ML: Strong understanding of LLMs, RAG architectures, agentic AI systems, prompt engineering, model fine-tuning, and MLOps.
Databricks: Hands-on experience with Databricks Lakehouse (Delta Lake, Unity Catalog, MLflow, Databricks Workflows), Spark-based data processing.
Full-Stack Development: Working knowledge of front-end (React/Angular) and back-end (Node.js/.NET/Python) development, API design (REST/GraphQL), and microservices architecture.
Cloud Platforms: Experience with Azure (AI Foundry, Cognitive Services) and/or AWS/Google Cloud Platform AI & data services.
Data Engineering: Familiarity with ETL/ELT pipelines, data modeling, and data governance.
Programming: Python (mandatory), plus exposure to SQL, and at least one full-stack language (JavaScript/TypeScript, C#, or Java).
Architecture: Proven experience designing scalable, distributed systems; solid grasp of system design principles, security, and DevOps/CI-CD practices.
Strong stakeholder communication skills ability to translate technical architecture into business value for both technical and non-technical audiences.

Nice to Have
Experience with vector databases (Pinecone, Weaviate, Snowflake Cortex).
Exposure to containerization (Docker/Kubernetes) and infrastructure-as-code (Terraform/Bicep).
Prior experience in a client-facing or pre-sales/solutioning capacity.
Certifications in Azure/AWS AI or Databricks (Databricks Certified Data Engineer/ML Associate).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90867498
Position Id: ERWASA
Posted 58 minutes ago

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