BALIN TECHNOLOGIES LLC
Senior AI Solution Architect Data & AI Platforms (GCP)
BALIN TECHNOLOGIES LLC, Santa Ana, California, United States, 92725
Senior AI Solution Architect Data & AI Platforms (GCP)
Location:
Santa Ana, CA
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, enterprise‑grade data and AI solutions on Google Cloud Platform (GCP). The ideal candidate will have strong hands‑on experience across 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.
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.
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 productionise ML models at scale.
Evaluate and recommend ML frameworks, tools, and best practices.
Architect and implement Generative AI solutions using LLMs for 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 agentic systems.
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 optimisation.
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
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).
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
GCP Professional certifications (Professional Data Engineer, Professional ML Engineer, Cloud Architect).
Experience working in large‑scale enterprise or consulting environments.
Strong communication and stakeholder management skills.
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 pipelines, feature stores, model registries, monitoring tools.
Data: SQL, Python, Spark, Kafka.
BI: Looker, Tableau, Power BI (or equivalent).
#J-18808-Ljbffr
Santa Ana, CA
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, enterprise‑grade data and AI solutions on Google Cloud Platform (GCP). The ideal candidate will have strong hands‑on experience across 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.
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.
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 productionise ML models at scale.
Evaluate and recommend ML frameworks, tools, and best practices.
Architect and implement Generative AI solutions using LLMs for 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 agentic systems.
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 optimisation.
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
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).
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
GCP Professional certifications (Professional Data Engineer, Professional ML Engineer, Cloud Architect).
Experience working in large‑scale enterprise or consulting environments.
Strong communication and stakeholder management skills.
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 pipelines, feature stores, model registries, monitoring tools.
Data: SQL, Python, Spark, Kafka.
BI: Looker, Tableau, Power BI (or equivalent).
#J-18808-Ljbffr