AI Solution Architect – Data

Senior AI Solution Architect – Data & AI Platforms (GCP)

Location

Santa Ana

Experience

10–15+ years overall experience (with 5+ 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 & Qualifications

Core 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)

Tools & Technologies (preferred)

• GCP: 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
• GCP 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