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Sr AI Software Architect

Cloud Destinations LLCUnited States🇺🇸United StatesPosted 28 Aug 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
23 hours ago
Machine LearningSnowflakeDatabricks

Job Description

Position Title: Sr AI Software Architect / Lead AI Platform Engineer    
Duration: 12 Months Contract 
Client Location:  Remote
 
Job Description: 
We are seeking a highly experienced Senior AI Software Architect to lead the design, development, and implementation of next-generation AI platforms and intelligent systems. This individual will be responsible for architecting scalable software solutions, developing AI-enabled applications, and integrating enterprise data platforms to support advanced AI and machine learning initiatives. Candidates must possess deep hands-on development expertise in addition to architecture leadership experience.
Key Responsibilities
  • Design and build enterprise-scale software platforms from the ground up.
  • Architect and develop AI and machine learning solutions, including AI agent-based applications.
  • Lead software architecture efforts from low-level system design through full application stack implementation.
  • Integrate AI platforms with enterprise technologies and data ecosystems such as Databricks and Snowflake.
  • Develop scalable software frameworks, services, and APIs to support AI workloads.
  • Provide technical leadership and architectural guidance across engineering teams.
  • Evaluate emerging AI technologies and determine appropriate integration strategies.
  • Collaborate with business and technical stakeholders to operationalize AI solutions in production environments.
  • Serve as a hands-on contributor capable of coding, reviewing architecture, and solving complex technical challenges.
Required Qualifications
  • 8+ years of software architecture and software development experience at a senior engineer, technical lead, or architect level.
  • Hands-on experience building large-scale software platforms and architectures.
  • Experience designing systems from low-level architecture through application delivery.
  • Strong software engineering background with demonstrated coding expertise.
  • Practical experience developing AI, machine learning, or agentic AI solutions.
  • Experience integrating applications with modern data platforms, including Databricks and Snowflake.
  • Ability to rapidly learn and contribute in a fast-paced, high-pressure development environment.
  • Proven track record of delivering complex technical solutions rather than solely providing architectural guidance.
Preferred Qualifications
  • Experience building AI-native platforms and AI agents.
  • Expertise spanning software architecture, AI/ML engineering, and cloud-native development.
  • Experience integrating AI solutions into complex enterprise environments.
  • Strong understanding of modern AI development tooling and workflows.
  • Experience leading high-performing engineering teams and driving technical strategy.
  • Prior experience owning both architecture and implementation across multiple technology domains.
Ideal Candidate Profile
The ideal candidate is a builder who combines software architecture expertise with deep hands-on development skills. They can design platforms from inception, write production code, integrate AI capabilities into enterprise systems, and immediately contribute to delivering high-priority initiatives. This individual thrives in a fast-moving environment where quality, execution speed, and technical excellence are critical.
Recruiter Screening Must-Haves
  • Software Architect or Principal Engineer background.
  • Recent hands-on software development experience.
  • AI/ML development experience, preferably agentic AI.
  • Platform engineering experience.
  • Databricks and/or Snowflake integration experience.
  • Ability to explain architecture from low-level design through deployment.
  • Evidence of personally building and delivering solutions, not just managing teams.
 

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