AI Solutions Architect

Key Responsibilities
Engage with clients to understand business needs, objectives, technical requirements, and opportunities for AI-driven transformation.
Conduct workshops to identify high-value AI use cases and assess their technical feasibility.
Collaborate with internal teams and stakeholders to develop tailored AI strategies and solution approaches.
Design, build, and deploy intelligent agents using Snowflake Cortex Agents, Cortex Analyst, including semantic views, and Cortex Search.
Design and implement Agentic Process Automation patterns to streamline and enhance business operations.
Utilize Snowflake and its native components to develop sophisticated AI-driven systems tailored to client-specific use cases.
Create detailed architectural designs and technical blueprints that integrate AI solutions with existing enterprise infrastructures.
Ensure AI solutions are scalable, reliable, secure, and aligned with business objectives.
Develop prototypes and proof-of-concept solutions to validate AI concepts and technical approaches.
Lead and deliver pilot projects that demonstrate AI capabilities and measurable business value.
Gather client feedback and incorporate findings to improve solution usability, effectiveness, and adoption.
Provide technical leadership, guidance, and mentorship to internal teams and clients throughout the AI solution lifecycle.
Guide implementation teams in applying AI development best practices, established architectural patterns, and technical standards.
Conduct rigorous testing and validation of AI solutions to ensure accuracy, reliability, and performance.
Perform usability evaluations and make adjustments based on client feedback.
Continuously monitor and optimize deployed AI systems for performance, scalability, and operational effectiveness.
Address and resolve technical challenges throughout solution development and deployment.
Manage project timelines, resources, deliverables, and cross-functional coordination to ensure successful execution.
Communicate project status, technical considerations, risks, and outcomes effectively to clients and internal stakeholders.
Document architectural designs, project plans, technical specifications, decisions, and project outcomes.
Prepare and present technical reports, solution designs, and presentations to clients and stakeholders.
Drive AI-enabled digital transformation initiatives that deliver measurable value to clients.
Contribute to the development of AI best practices, methodologies, frameworks, and reusable solution patterns.
Stay current with advancements in artificial intelligence, machine learning, data analytics, Agentic AI, and related technologies.
Represent the organization at industry events, conferences, and forums to demonstrate AI expertise.

Required Qualifications
5+ years of experience
Bachelor's Degree
Master's Degree
Snowflake SnowPro
Snowflake SnowPro Advanced Data Engineer
SnowPro Advanced Architect
Artificial Intelligence
Machine Learning
Data Analytics
Cloud Computing

Skills
Snowflake Platform
Snowflake Cortex Agents
Snowflake Cortex Analyst
Snowflake Cortex Search
Microsoft Azure Services
Microsoft Power Platform
Microsoft 365 Services
AI Model Development
Artificial Intelligence
Machine Learning
Data Analytics
Scalable AI Solution Design
System Integration
Matillion
Microsoft Power BI
AWS AI Services
Google Cloud AI Services
Automation Technologies
Client Engagement
Technical Feasibility Assessment
AI Strategy Development
Solution Architecture
Prototype Development
Pilot Project Leadership
Technical Leadership
Project Management
Stakeholder Communication
Technical Documentation
Digital Transformation Initiatives
Agile Development Methodologies
Change Management
Analytical Problem Solving
Cross-functional Collaboration

Schedule
Start date: 2026-09-30