AI Solution Architect

MeeBoss is sharing this active opportunity on behalf of the hiring company. 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).

About the role

This role offers the opportunity to lead architecture and solution design on Google Cloud Platform, partnering with business leaders to translate requirements into AI-driven solutions while mentoring engineers and architects.

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 such as BigQuery, Dataproc, and 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 including CI/CD for ML, feature stores, model registries, and observability
• Collaborate with data scientists to productionize 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, and 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
• 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
• 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
• 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

Requirements

• Strong experience in Data Architecture and 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)

Qualifications

• Preferred: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field
• Preferred: GCP Professional certifications (e.g., Professional Data Engineer, Professional ML Engineer, Cloud Architect)
• Preferred: Experience working in large-scale enterprise or consulting environments
• Preferred: Strong communication and stakeholder management skills

Pay

$80-90/hour

Schedule

Santa Ana, CA (3 days onsite)