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Snowflake AI Engineer

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: HCLTech
Full Time position
Listed on 2026-06-06
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Engineering, Data Science Manager
Salary/Wage Range or Industry Benchmark: 92000 - 224000 USD Yearly USD 92000.00 224000.00 YEAR
Job Description & How to Apply Below

HCLTech is looking for a highly talented and self- motivated Snowflake AI Engineer to join it in advancing the technological world through innovation and creativity.

Job Title
:
Snowflake AI Engineer

Job : 107912

Position Type: Full-time

Location: Dallas, TX – Hybrid ( 3 days onsite)

Role Overview :

We are seeking an experienced AI Engineer to design, build, and deploy LLM‑powered applications natively on Snowflake, leveraging Snowflake Cortex, Snowflake Intelligence, Agents, and Snowflake Native Apps. AI Engineer will work at the intersection of data engineering, applied AI, and product engineering, building production‑grade AI systems that power analytics, automation, and intelligent decision‑making. This role focuses on data‑centric AI, enabling secure, governed, and scalable AI solutions directly were enterprise data lives inside Snowflake.

Mandatory

Core

Skills:
  • Strong experience with Snowflake as a primary data and AI platform.
  • Hands‑on experience with Snowflake Cortex (LLMs, embeddings, RAG).
  • Experience building LLM‑based applications in production.
  • Proficiency in Python
    , especially for AI and data workloads.
  • Experience with Snowpark (Python).
AI & LLM Expertise
  • Solid understanding of:
  • Retrieval‑Augmented Generation (RAG)
  • Vector databases and similarity search
  • Experience integrating LLMs with enterprise data systems.
  • Familiarity with model evaluation, hallucination mitigation, and AI safety.
Data & Cloud
  • Strong SQL skills and data modeling experience.
  • Experience working with structured and unstructured data
    .
  • Understanding of cloud‑native architectures (AWS, Azure, or GCP).
Key Responsibilities Snowflake AI & Cortex
  • Design and implement AI/ML solutions using Snowflake Cortex (LLM functions, embeddings, classification, summarization, RAG).
  • Build LLM‑powered applications using Cortex LLMs and externally hosted models integrated with Snowflake.
  • Develop semantic layers and AI‑ready datasets optimized for Snowflake Intelligence experiences.
  • Implement vector search and RAG pipelines using Snowflake’s vector capabilities.
Snowflake Intelligence & Agents
  • Design and build Snowflake Intelligence use cases (conversational analytics, AI copilots, business insights).
  • Develop autonomous and semi‑autonomous agents.
Query Snowflake data
  • Reason over structured and unstructured data.
  • Execute workflows and actions securely.
  • Orchestrate multi-agent workflows using Snowflake + external services where needed.
Apply best practices for:
  • Tool/function calling.
  • Model evaluation and guardrails.
  • Optimize LLM performance for cost, latency, and accuracy.
  • Implement governance, monitoring, and observability for GenAI workloads.
  • Collaborate with data engineers to design AI‑optimized Snowflake schemas.
  • Build pipelines using Snowpark (Python) for data transformation and feature preparation.
  • Package AI solutions as Snowflake Native Apps where applicable.
  • Ensure enterprise‑grade security, compliance, and auditability.
  • Partner with stakeholders across data, product, and business teams to deliver measurable outcomes.
Pay and Benefits

Pay Range Minimum: $92,000 per year

Pay Range Maximum: $224,000 per year

HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to  for investigation.

Compensation

and Benefits

A candidate’s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program;

401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.

How You’ll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries.

We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

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