AI Solutions Architect

Usg Inc.

San Diego, CA, United States

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Agile Methodology Artificial Intelligence Amazon Web Services ARM Architecture Microsoft Azure Cloud Computing Data Files Extract Transform Load (ETL) Machine Learning Power BI Software Engineering Systems Integration

+6 more

Google Cloud Snowflake AI Platforms Information Technology Data Analytics Virtual Agents

Job description

Utilize the Snowflake platform and native components to develop and deploy intelligent agents
Engage with clients to understand business needs; conduct workshops to identify high-value AI use cases and assess technical feasibility
Design, build, and deploy intelligent agents using Snowflake Cortex Agents, Cortex Analyst (incl. semantic views), and Cortex Search, alongside Agentic Process Automation patterns
Create architectural designs that integrate seamlessly with clients’ existing infrastructure, ensuring scalability
Develop prototypes for proof-of-concept initiatives; lead and deliver pilot projects to demonstrate AI capabilities
Gather client feedback to refine usability and effectiveness
Provide technical leadership and mentorship to internal teams and clients
Manage project timelines, resources, and deliverables
Conduct rigorous testing/validation of AI solutions; monitor and optimize deployed systems for performance
Document architectural designs, project plans, and technical specifications; present to clients and stakeholders
Drive AI-driven digital transformation initiatives that deliver measurable client value

Requirements

5+ years designing, developing, and deploying AI and machine learning solutions
Strong hands-on experience with Snowflake platform, Microsoft Azure services, Power Platform, and M365
Proven experience in solution architecture - architectural designs and integrating AI solutions with existing systems
Extensive client engagement/consulting experience - requirements gathering and change management
Experience integrating AI solutions with business domains, adhering to industry standards and best practices
Seasoned experience in agile development environments
Experience developing, selling, and delivering technical solutions with measurable client value
Experience in a large-scale (preferably multinational) technology services environment - software development, technical presales, enterprise architecture
Proven ability to lead pilot projects and coordinate cross-functional teams, * Deep AI/ML/data analytics expertise; proven Snowflake platform experience (Cortex Agents, Cortex Analyst, Cortex Search, Snowflake SECRET, Snowflake Intelligence)
Knowledge of Matillion, Power BI; familiarity with AWS/Azure/Google Cloud Platform AI services
Strong problem-solving, dataset interpretation, and AI model development/evaluation skills
Experience with automation technologies and system integration principles
Excellent communication skills - ability to translate technical concepts for non-technical stakeholders

Preferred Qualifications:

Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field
Snowflake SnowPro / SnowPro Advanced Data Engineer / SnowPro Advanced Architect certification
Relevant certifications in AI, ML, Data Analytics, and Cloud Computing