What are the responsibilities and job description for the AI Solution Architect (Cloud Solutions) position at Diligent Tec, Inc?
Job Title: AI Solution Architect (Cloud Solutions)
Location: Onsite - Santa Ana, CA
Duration: Long Term Contract (3 Years)
*Strong experience with cloud-based analytics platforms, GCP highly preferred, with BigQuery exposure and AWS experience
Role Overview:
The AI Solution Architect will lead onsite engagement for a data and analytics transformation program. This role involves close collaboration with business and technology stakeholders to translate requirements into scalable BI and data solutions, guide data foundation build-out, enable advanced analytics, and act as the primary liaison with offshore delivery teams.
Key Responsibilities:
Engage with business teams to define reporting, analytics, and Conversational BI requirements
Assess the current data and BI landscape and define target-state architecture
Oversee development of data pipelines, semantic layers, and reporting assets
Guide adoption of advanced analytics using statistical, ML, and LLM techniques where applicable
Ensure strong data governance, DevOps readiness, and IaC-based deployments
Act as the primary onsite point of contact for requirement clarity, stakeholder communication, and knowledge sharing
Required Skills & Qualifications:
Strong experience in enterprise data warehousing, BI architecture, and large-scale analytics delivery
Deep understanding of data modeling for analytics (dimensional and semantic layer design)
Hands-on expertise with ETL/ELT patterns and orchestration
Strong knowledge of data governance, metadata management, security models, and IAM for data platforms
Experience with BI tools (Looker preferred or equivalent enterprise BI platforms)
Awareness of AI/ML techniques for insight automation and anomaly/outlier detection
Solid understanding of DevOps concepts for data platforms (CI/CD, version control, code-based delivery)
Strong experience with cloud-based analytics platforms, GCP highly preferred, with BigQuery exposure and AWS experience
Excellent stakeholder management, communication, and requirement discovery skills
Ability to work effectively in an onsite-offshore delivery model
Preferred Skills:
Experience with LLMs and Conversational BI enablement
Background working with financial analytics or operational data environments
Location: Onsite - Santa Ana, CA
Duration: Long Term Contract (3 Years)
*Strong experience with cloud-based analytics platforms, GCP highly preferred, with BigQuery exposure and AWS experience
Role Overview:
The AI Solution Architect will lead onsite engagement for a data and analytics transformation program. This role involves close collaboration with business and technology stakeholders to translate requirements into scalable BI and data solutions, guide data foundation build-out, enable advanced analytics, and act as the primary liaison with offshore delivery teams.
Key Responsibilities:
Engage with business teams to define reporting, analytics, and Conversational BI requirements
Assess the current data and BI landscape and define target-state architecture
Oversee development of data pipelines, semantic layers, and reporting assets
Guide adoption of advanced analytics using statistical, ML, and LLM techniques where applicable
Ensure strong data governance, DevOps readiness, and IaC-based deployments
Act as the primary onsite point of contact for requirement clarity, stakeholder communication, and knowledge sharing
Required Skills & Qualifications:
Strong experience in enterprise data warehousing, BI architecture, and large-scale analytics delivery
Deep understanding of data modeling for analytics (dimensional and semantic layer design)
Hands-on expertise with ETL/ELT patterns and orchestration
Strong knowledge of data governance, metadata management, security models, and IAM for data platforms
Experience with BI tools (Looker preferred or equivalent enterprise BI platforms)
Awareness of AI/ML techniques for insight automation and anomaly/outlier detection
Solid understanding of DevOps concepts for data platforms (CI/CD, version control, code-based delivery)
Strong experience with cloud-based analytics platforms, GCP highly preferred, with BigQuery exposure and AWS experience
Excellent stakeholder management, communication, and requirement discovery skills
Ability to work effectively in an onsite-offshore delivery model
Preferred Skills:
Experience with LLMs and Conversational BI enablement
Background working with financial analytics or operational data environments