What are the responsibilities and job description for the AI Solutions Architect position at Largeton Group?
Role: AI Solutions Architect
Location: West Sacramento, CA- local 100% Onsite (5 Days Per Week) Potential flex after ramp up
Duration: 24 Months
MOI: Video
Linkedin must & strong comm skills
Seeking a senior-level AI Solutions Architect to lead enterprise AI initiatives focused on integrating Generative AI capabilities into large-scale data warehouse and analytics environments. This individual will be responsible for designing end-to-end AI solutions, guiding technical teams, and ensuring alignment with enterprise architecture standards.
This is a highly consultative and technical architecture role requiring deep experience across AI, cloud, data platforms, integrations, and enterprise architecture.
Top 5 Required Skills
LLM integrations
AI solution architecture and governance
Data modeling
Analytics platforms
Data integration
AWS and GCP acceptable
Infrastructure as Code (Terraform)
Microservices
Event-driven architectures
Enterprise application integration
Mentoring technical teams
Stakeholder management
Executive communication
Required Experience
10 years of IT experience
Enterprise Architecture experience
Data Warehouse Architecture experience
Advanced Analytics Platform experience
3 years designing and implementing Generative AI solutions
5 years Cloud Architecture experience
5 years leading technical teams
5 years Integration Architecture experience
Preferred Skills
Python
C#
Advanced SQL
Snowflake
Amazon Redshift
Power BI
Machine Learning
Data Engineering
Location: West Sacramento, CA- local 100% Onsite (5 Days Per Week) Potential flex after ramp up
Duration: 24 Months
MOI: Video
Linkedin must & strong comm skills
Seeking a senior-level AI Solutions Architect to lead enterprise AI initiatives focused on integrating Generative AI capabilities into large-scale data warehouse and analytics environments. This individual will be responsible for designing end-to-end AI solutions, guiding technical teams, and ensuring alignment with enterprise architecture standards.
This is a highly consultative and technical architecture role requiring deep experience across AI, cloud, data platforms, integrations, and enterprise architecture.
Top 5 Required Skills
- Generative AI Architecture
LLM integrations
AI solution architecture and governance
- Data Warehouse & Analytics Architecture
Data modeling
Analytics platforms
Data integration
- Cloud Architecture
AWS and GCP acceptable
Infrastructure as Code (Terraform)
- Integration Architecture
Microservices
Event-driven architectures
Enterprise application integration
- Technical Leadership
Mentoring technical teams
Stakeholder management
Executive communication
Required Experience
10 years of IT experience
Enterprise Architecture experience
Data Warehouse Architecture experience
Advanced Analytics Platform experience
3 years designing and implementing Generative AI solutions
5 years Cloud Architecture experience
5 years leading technical teams
5 years Integration Architecture experience
Preferred Skills
Python
C#
Advanced SQL
Snowflake
Amazon Redshift
Power BI
Machine Learning
Data Engineering