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AI Solution Architect – Data & AI Platforms; GCP

Job in Santa Ana, Orange County, California, 92725, USA
Listing for: Neurealm
Full Time position
Listed on 2025-12-21
Job specializations:
  • IT/Tech
    AI Engineer, Data Engineer, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: AI Solution Architect – Data & AI Platforms (GCP)

AI Solution Architect – Data & AI Platforms (GCP)

Location:

Santa Ana

Experience:

10–15+ years overall experience (with 5+ years in AI/Data Architecture roles)

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
  • Design and own end-to-end data architectures including ingestion, processing, storage, governance, and consumption layers
  • Define scalable data platforms supporting batch, streaming, and real-time analytics
  • Establish data governance, metadata management, data quality, lineage, and security frameworks
  • 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 product ionize 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
  • Lead architecture and solution design on Google Cloud Platform (GCP)
  • Utilize GCP services such as Big Query, 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:
    Big Query, Vertex AI, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Looker
  • 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
Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Industries

IT Services and IT Consulting

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