Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
Almont, CO, United States
Posted
18 hours ago
AWSMachine LearningSnowflakeAgileAzureGoogle CloudPower BI
Job Description
AI Solutions Architect
Location: San Diego, CA (5 Days Onsite)
This hands-on role demands extensive expertise in AI, machine learning, and data analytics to design, construct, and deploy sophisticated AI-driven systems tailored to clients' unique requirements — with a focus on designing intelligent Agents and leveraging Agentic Process Automation to streamline business operations.
Key Responsibilities:
- 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
Required Experience:
- 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
Knowledge & Attributes:
- 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
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