Senior AI Solution Architect - Data & AI Platforms

Balin Technologies

Santa Ana, CA

JOB DETAILS
SALARY
$100–$105 Per Hour
JOB TYPE
Contractor
SKILLS
Artificial Intelligence (AI), Big Query, vertex ai, Data Flow, Dataproc, Gen AI, Data Lake, ML/MLops, AI/ML Platforms, Data Visualization, DATA ARCHITECTURE, Best Practices, Blueprints, Business Intelligence, Business Intelligence Software, Cloud Computing, Cloud Storage, Continuous Deployment/Delivery, Continuous Integration, Cost Control, Data Management, Data Quality, Data Science, Ecosystems, GCP (Good Clinical Practices), Leadership, Looker, Mentoring, Metadata, Metrics, Performance Tuning/Optimization, Python Programming/Scripting Language, Requirements Management, SQL (Structured Query Language), Technical Leadership, Technical Writing, Technical/Engineering Design, Use Cases,
QUALIFICATIONS
LOCATION
Santa Ana, CA
POSTED
15 days ago

Hi,

Job Title: Senior AI Solution Architect - Data & AI Platforms 

Location: Santa Ana, CA (Hybrid 3days/week)

Job Description:

Primary Skills: Big Query, Vertex AI, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Looker, Data Architecture, AI/ML platforms, and Generative AI solutions, datalake house architectures, modern BI platforms, ML/MLOps, Conversational Analytics, Generative AI, and Agentic AI frameworks

Secondary Skills: Looker, Tableau, Power BI, SQL, Python, Spark, Kafka

Experience:

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 datalake house 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)
 

Regards,

DEVENDER REDDY

Balin Technologies

Email: devender@balintek.com

About the Company

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Balin Technologies