AI Solutions Architect

Confiz Limited; San Mateo (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Confiz Limited seeks an AI Architect in San Mateo, CA to design and drive end-to-end AI-powered solutions, from data engineering and model architecture to full-stack integration and deployment.

This hybrid role bridges data platforms, AI/ML systems, and application development, ensuring scalable, secure, and production-ready outcomes. Expect collaboration with cross-functional teams and leadership in AI lifecycle practices.

Qualifications

• Ten+ years in software/solution architecture with AI/ML focus.
• Strong understanding of LLMs, RAG and agentic AI systems.
• Hands-on Databricks Lakehouse experience and Spark-based data processing.
• Full-stack knowledge across React/Angular (front-end) and Node/.NET/Python (back-end).

Responsibilities

• Design and architect AI/ML solutions including LLM-based apps and models.
• Define data pipelines and architecture using Databricks for large-scale processing.
• Architect full-stack solutions integrating AI into web and enterprise apps.
• Evaluate AI frameworks and vector databases for use-case fit.
• Establish model lifecycle governance, versioning, monitoring, and retraining.
• Collaborate with data/ML engineers and product owners to translate requirements.
• Design cloud architectures (Azure/AWS/GCP) for AI workloads.
• Lead architecture reviews, POCs, and feasibility assessments.
• Mentor teams on AI integration, prompts, and RAG workflows.

Skills

LLM architectures

Agentic AI systems

MLOps

Databricks Lakehouse

Full-stack development

Cloud platforms

React/Angular

REST/GraphQL

Python

Security & DevOps

Tools

Databricks Lakehouse

Spark

Databricks Workflows

Unity Catalog

Job description

Confiz is 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.

Work Type: Hybrid

Responsibilities

• Design and architect AI/ML solutions, including LLM-based applications, agentic systems, and predictive models, aligned with business objectives.
• Define data architecture and pipelines using Databricks (Delta Lake, Unity Catalog, MLflow) for large-scale data processing and model training/serving.
• Architect full-stack solutions that integrate AI models into web/enterprise applications — covering front-end, back-end APIs, and cloud infrastructure.
• Evaluate and select appropriate AI frameworks, LLM providers (OpenAI, Anthropic, Azure AI Foundry, etc.), and vector databases for use-case fit.
• Establish best practices for model lifecycle management: versioning, monitoring, retraining, and governance.
• Collaborate with data engineers, ML engineers, full-stack developers, and product owners to translate business requirements into technical architecture.
• Design scalable, secure, and cost-optimized cloud architectures (Azure/AWS/GCP) for AI workloads.
• Conduct architecture reviews, POCs, and technical feasibility assessments for new AI initiatives.
• Mentor engineering teams on AI integration patterns, prompt engineering, RAG pipelines, and agentic workflows.
• Ensure solutions meet performance, security, and compliance standards (data privacy, responsible AI practices).

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/GCP 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).

We have a global team of amazing individuals working on highly innovative enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast growth fintech, and multiple Silicon Valley startups.

What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.

People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.

To know more about Confiz Limited, visit https://www.linkedin.com/company/confiz/