AI Solution Architect – Data

Experience :15+years

Job Description :

Job Title: AI Solution Architect – Data & AI Platforms (GCP)Location :Santa Ana
, CA

Duration: 3-6 months

Experience:10–15+ years overall experience (with 3+ years in AI/Data Architecture roles)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 (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
, and will work closely with business, data engineering, and AI teams to drive end-to-end AI-led transformation.

Key Responsibilities: Data & Platform Architecture

· Design and own
end-to-end data architectures
 including ingestion, processing, storage, governance, and consumption layers

· Architect
modern data lakehouse platforms
 using GCP services (e.g., BigQuery, Dataproc, Cloud Storage)

· Define scalable
data platforms
 supporting batch, streaming, and real-time analytics

· Establish data governance, metadata management, data quality, lineage, and security frameworks

AI, ML & MLOps Architecture

· Design
ML/AI architectures
 supporting model training, deployment, monitoring, and lifecycle management

· Define and implement
MLOps frameworks
 (CI/CD for ML, feature stores, model registries, observability)

· Collaborate with data scientists to productionize ML models at scale

· Evaluate and recommend ML frameworks, tools, and best practices

Generative AI & Agentic AI

· Architect and implement
Generative AI solutions
 using LLMs (e.g., text, code, embeddings, multimodal use cases)

· Design
Conversational Analytics
 and AI-powered BI solutions

· Build and evaluate
Agentic AI platforms
, including autonomous agents, orchestration frameworks, and tool integrations

· Lead
solution evaluations, PoCs, and vendor/tool assessments
 for GenAI and Agent-based systems

Business Intelligence & Analytics

· Design
modern BI and analytics platforms
 enabling self-service analytics and AI-driven insights

· Integrate BI tools with data lakehouse and AI layers

· Enable semantic layers, metrics definitions, and governed analytics

Cloud & GCP Leadership

· Lead architecture and solution design on
Google Cloud Platform (GCP)

· Utilize GCP services such as BigQuery, Vertex AI, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Looker, and IAM

· Ensure architectures follow best practices for
security, scalability, performance, and cost optimization

Stakeholder & Technical Leadership

· Partner with business leaders to translate business requirements into AI-driven solutions

· Lead technical design reviews and architecture governance

· Mentor engineers, architects, and data scientists

· Create architecture blueprints, reference architectures, and technical documentation

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 (GCP)