Senior Snowflake AI Architect (Cortex )Location- Hybrid @ Dallas, TXMust have Snowflake Cortex experience to be consideredAbout the RoleWe are seeking a Senior Snowflake Architect with deep expertise in Snowflake Cortex to design, build, and guide customers in delivering production-grade AI and machine learning use cases on the Snowflake AI Data Cloud. You will act as a trusted technical advisor, translating customer business problems into scalable Cortex -powered solutions spanning generative AI, RAG, LLM functions, and ML workflows.
Key Responsibilities- Partner with customers to identify high-value AI/ML use cases and architect end-to-end solutions using Snowflake Cortex ( Cortex AISQL, Cortex Analyst, Cortex Search, Cortex Agents, and fine-tuning).
- Design and implement Retrieval-Augmented Generation (RAG) pipelines using Cortex Search and vector embeddings.
- Build conversational analytics and text-to-SQL experiences using Cortex Analyst over structured data.
- Leverage Cortex LLM functions (COMPLETE, SUMMARIZE, SENTIMENT, TRANSLATE, EXTRACT_ANSWER, CLASSIFY) within SQL and Python workflows.
- Configure Cortex Sense to assemble shared business context that grounds CoWork and CoCo agents for higher accuracy out of the box.
- Expose Cortex Agents, semantic views, and search services as tools via Snowflake-managed MCP servers for reuse across MCP-compatible clients.
- Enable customers to build with Snowflake CoCo - the Snowflake-native, data-aware AI coding agent - to accelerate data engineering, ML pipelines, app and agent development that respects catalog, lineage, and RBAC.
- Develop and deploy ML models using Snowflake ML, Snowpark, and Model Registry; operationalize feature engineering and inference at scale.
Required Qualifications- 10+ years in data architecture, data engineering, or ML engineering, with 3+ years hands-on Snowflake experience.
- Demonstrated experience building AI/GenAI solutions, ideally with Snowflake Cortex or comparable LLM/ML platforms.
- Strong SQL and Python; proficiency with Snowpark.
- Solid understanding of LLM concepts: prompting, embeddings, vector search, RAG, fine-tuning, and evaluation.
- Experience designing secure, governed cloud data platforms (AWS, Azure, or GCP).
- Excellent communication and stakeholder-management skills for customer-facing engagements
Salary and Other Compensation:
Applications will be accepted until Month Day, Year.
The annual salary for this position is between $120-160Kdepending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
