Senior AI/ML Architect

Remote • Posted 8 hours ago • Updated 8 hours ago
Full Time
Remote
$170,000 - $180,000/yr
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Job Details

Skills

  • Snowflake
  • Snowflake Architect
  • Snowflake Solutions Architect
  • Snowflake Data Architect
  • Snowflake Cortex
  • Snowpark
  • Data Platform Architect
  • Data Architect
  • AI Architect
  • Machine Learning Architect
  • Generative AI
  • GenAI
  • LLM
  • Artificial Intelligence
  • Machine Learning
  • MLOps
  • Data Engineering
  • Data Pipelines
  • Data Ingestion
  • ETL
  • ELT
  • Data Transformation
  • Cloud Data Platform
  • AWS
  • AWS Architecture
  • AWS Networking
  • AWS Security
  • AWS PrivateLink
  • Python
  • SQL
  • Dataiku
  • Spark
  • Databricks
  • Enterprise Data Architecture
  • Analytics Platform
  • Cloud Data Architecture
  • Data Science Platforms
  • Client-Facing Consulting
  • Technical Consulting
  • Solution Architecture
  • Enterprise Platform Design

Summary

Job Title: Senior AI/ML Architect

Location: Remote USA

Position: Full-Time Direct Hire

Join a High-Growth, Award-Winning Organization!

Overview
TalentFish is casting a line for a Senior AI/ML Architect

  • This high-impact role will support our premier consulting client in architecting and delivering advanced data platforms, Generative AI solutions, and enterprise integrations across Snowflake and AWS.
  • Operating within complex, high-visibility enterprise environments, this leader will own architecture strategy, solution delivery, and client-facing execution.

What You Bring to the Role. (Ideal Experience)

  • Deep, hands-on experience with Snowflake (architecture, administration, performance, and security)
  • Strong experience in Snowflake solution architecture and enterprise platform design.
  • Expertise in Snowflake Cortex and enabling GenAI solutions.
  • Solid background in AI/ML and data science platforms (experience with Dataiku preferred).
  • Strong AWS architecture knowledge (networking, security, PrivateLink, integrations).
  • Hands-on experience in data engineering (pipelines, ingestion, transformations).
  • Proficiency in SQL and Python.
  • Proven ability to deliver in high-pressure, escalated, client-facing environments.
  • Strong communication skills, especially with highly technical client teams.

What You'll Do. (Skills Used in this Position)

  • Design and implement Snowflake-centric cloud data and analytics architectures.
  • Enable GenAI and advanced analytics solutions using Snowflake Cortex and data science platforms.
  • Lead AWS-Snowflake integrations, networking, and secure connectivity.
  • Build and oversee data pipelines, ingestion, and transformations.
  • Integrate enterprise systems such as Salesforce, Veeva CRM, Postgres, and other related platforms.
  • Research, prototype, and productionize advanced analytics and AI/ML use cases.
  • Own delivery in complex, high-stakes client-facing environments.
  • Collaborate with consulting and delivery partners as necessary.

Compensation and Employment
This role requires authorization to work in the U.S. without current or future visa sponsorship. The expected salary range for this position is $170K - $180K plus bonus depending on experience and qualifications. This role also qualifies comprehensive benefits such as health insurance, 401(k), and paid time off. TalentFish is committed to pay transparency and equal opportunity. The salary range provided is in compliance with applicable state and federal regulations. All offers are contingent upon the completion of a background check, which may include but is not limited to reference checks, education verification, employment verification, drug testing, criminal records checks, and any required certifications or compliance requirements based on the end client's background check policies and applicable laws.

TalentFish is an employee-owned company pioneering a new realm in talent acquisition. We are redefining IT staffing by evolving AI, video screening, and our unique platform. TalentFish focuses on providing the best employee, consultant, and client experience possible. At TalentFish, we are an Equal Opportunity Employer; we embrace and encourage diversity.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91130241
  • Position Id: 8908842
  • Posted 8 hours ago

Company Info

About TalentFish LLC

What is TalentFish?

Sourcing from decades of combined experience; our employee-owned company is positioning itself to be the next generation of Technology staffing companies. We provide high quality technology talent, consulting and products with a focus on AI, CyberSecurity, Digital and Project Management. TalentFish is built from the ground up as a cloud-based, video-enabled, AI-driven agency. Our aim is to seek out and connect better talent with better opportunities, faster, by employing high quality and more experienced professionals, using sophisticated tools, while also developing our own bleeding-edge tools that will advance the staffing industry to a new level of interaction and results-driven success.

 

Why TalentFish?

TalentFish is redefining the definition of an IT staffing agency. We are evolving a white label AI Bot that will be able to source, engage and screen technical candidates at lightning speed, providing a direct pipeline of vetted and AI matched candidates to your business. By performing technical video screening of candidates and leveraging both AI and human intelligence. We save our client precious time and ensure quality.

 
Who is TalentFish?

TalentFish is employee owned. When you work with one of our team members, you are working with an owner. We only hire the best of the best because each and every one of us is deeply invested and holds one another accountable. We are obsessed with quality and service, and aim to advance the employee and client experience. Our goal is to increase quality talent delivery and improve the staffing experience, processes and technology overall.

 
 
 
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