Neurealm
AI Solution Architect – Data & AI Platforms (GCP)
Neurealm, Santa Ana, California, United States, 92725
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 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
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
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
Referrals increase your chances of interviewing at Neurealm by 2x
#J-18808-Ljbffr
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 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
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
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
Referrals increase your chances of interviewing at Neurealm by 2x
#J-18808-Ljbffr