Neurealm
AI Solution Architect Data & AI Platforms (GCP) (Santa Ana)
Neurealm, Santa Ana, California, United States, 92725
Senior AI Solution Architect
Data & AI Platforms (GCP) Location Santa Ana Experience 1015+ 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 Bachelors or Masters 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
Data & AI Platforms (GCP) Location Santa Ana Experience 1015+ 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 Bachelors or Masters 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