Snowflake Engineer (Cortex)
KPI Partners
- Pay
- ₹30–40 lakh a year
- Experience
- 6–10 years
- Location
- Bangalore, Pune, Hyderabad · Hybrid
- Snowflake
- Snowflake Cortex
- Cortex Code
- AI/ML
- Generative AI
- Large Language Model (LLM)
- conversational AI
- chatbot
About the role
Design, develop, and optimize AI/ML solutions using Snowflake Cortex and Cortex Code. Lead the implementation of chatbot solutions leveraging Snowflake's native AI capabilities. Improve SDLC efficiency through AI-driven development, automation, and intelligent workflows. Develop GenAI-based code generation and optimization frameworks within the Snowflake ecosystem. Automate testing processes and implement AI-powered mechanisms to improve data quality and validation. Design and implement fuzzy logic-based validation frameworks to identify and enforce business rules that are not explicitly defined. Build AI-driven solutions to convert logical data models into physical implementations. Collaborate with data engineers, architects, and business stakeholders to define and implement scalable AI solutions. Monitor, evaluate, and continuously improve the performance, accuracy, and reliability of AI/ML models and applications.
What you’ll do
- Design, develop, and optimize AI/ML solutions using Snowflake Cortex and Cortex Code.
- Lead the implementation of chatbot solutions leveraging Snowflake's native AI capabilities, reducing dependency on pre-verified and hard-coded queries.
- Improve SDLC efficiency through AI-driven development, automation, and intelligent workflows.
- Develop GenAI-based code generation and optimization frameworks within the Snowflake ecosystem.
- Automate testing processes and implement AI-powered mechanisms to improve data quality and validation.
- Design and implement fuzzy logic-based validation frameworks to identify and enforce business rules that are not explicitly defined.
- Build AI-driven solutions to convert logical data models into physical implementations, accelerating data engineering and architecture processes.
What we’re looking for
Must have
- Snowflake
- Snowflake Cortex
- Cortex Code
- AI/ML
- Generative AI
- Large Language Model (LLM)
Nice to have
- enterprise-scale GenAI solutions
- MLOps
- CI/CD pipelines
- SDLC automation
- data governance
- data quality
What makes this role challenging
- Deep expertise in Snowflake Cortex and Cortex Code, which is a specialized and evolving area.
- Combining AI/ML, GenAI, and LLM skills with strong data engineering and Snowflake knowledge.
- Implementing fuzzy logic-based validation frameworks and converting logical data models to physical implementations.
- Leading chatbot implementations and reducing dependency on hard-coded queries.
What success looks like
- First 30 days
- Successfully design and implement at least one AI/ML solution using Snowflake Cortex, demonstrating measurable improvement in efficiency or accuracy.
- First 90 days
- Lead the deployment of a chatbot solution and establish automated testing and data quality frameworks, reducing manual effort and errors.
- First 6 months
- Drive the adoption of GenAI-based development and validation frameworks across the team, contributing to scalable AI solutions and improved SDLC efficiency.
Tech stack
- Databricks
- Snowflake
- Microsoft Azure
- AWS
- Google Cloud
- DBT
- Snowpark
- Cortex
- Snowpipe
About KPI Partners
KPI Partners is a trusted global strategic partner for Analytics and Digital Transformation solutions, backed by over 19 years of experience delivering innovation and sustainable growth across various industries. The company offers scalable, cloud-native solutions to help enterprises transform their data, cloud, and AI ecosystems, working with technologies like Databricks, Snowflake, Microsoft Azure, AWS, and Google Cloud.
IT Services and IT Consulting · 501-1,000 employees
Job Title: Snowflake Cortex Engineer / Data Scientist – AI/ML Company: KPI Partners Location: Bangalore/ Pune/Hyderabad About KPI Partners: KPI Partners is a global consulting and technology services firm specializing in data, analytics, and digital transformation solutions. With deep expertise in cloud platforms such as Microsoft Azure, Snowflake, and Databricks, KPI Partners helps organizations modernize their data ecosystems and drive business insights.The company focuses on delivering scalable data engineering, business intelligence, and AI-driven solutions across industries, enabling clients to make faster, data-driven decisions and achieve measurable business outcomes. Key Responsibilities
- Design, develop, and optimize AI/ML solutions using Snowflake Cortex and Cortex Code.
- Lead the implementation of chatbot solutions leveraging Snowflake's native AI capabilities, reducing dependency on pre-verified and hard-coded queries.
- Improve SDLC efficiency through AI-driven development, automation, and intelligent workflows.
- Develop GenAI-based code generation and optimization frameworks within the Snowflake ecosystem.
- Automate testing processes and implement AI-powered mechanisms to improve data quality and validation.
- Design and implement fuzzy logic-based validation frameworks to identify and enforce business rules that are not explicitly defined.
- Build AI-driven solutions to convert logical data models into physical implementations, accelerating data engineering and architecture processes.
- Collaborate with data engineers, architects, and business stakeholders to define and implement scalable AI solutions.
- Monitor, evaluate, and continuously improve the performance, accuracy, and reliability of AI/ML models and applications. Required Skills & Qualifications
- Strong experience with Snowflake, including Snowflake Cortex and Cortex Code.
- Expertise in AI/ML, Generative AI, and Large Language Model (LLM)-based applications.
- Experience building conversational AI/chatbot solutions.
- Proficiency in Python, SQL, and data engineering concepts.
- Knowledge of automated testing frameworks and data quality management.
- Experience with fuzzy matching, fuzzy logic, and intelligent validation techniques.
- Strong understanding of data modeling, metadata management, and data architecture.
- Ability to translate business requirements into scalable AI-driven solutions. Preferred Qualifications
- Experience implementing enterprise-scale GenAI solutions.
- Familiarity with MLOps, CI/CD pipelines, and SDLC automation.
- Experience in data governance, data quality, and model-driven development approaches.
- Knowledge of cloud platforms such as AWS, Azure, or GCP. Experience: 6–10 years of experience in software development with team handling exposure