AI / ML Solutions Architect
Class Valuation, LLC
Greenwood Village, United States of America
yesterday
Role details
Contract type
Temporary to permanent Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Greenwood Village, United States of America
Tech stack
API
Artificial Intelligence
Amazon Web Services (AWS)
Automation of Tests
Azure
Cloud Computing
Cloud Computing Security
Continuous Integration
DevOps
Distributed Systems
Identity and Access Management
Python
Key Management
Machine Learning
Node.js
Rapid Prototyping Process
TensorFlow
Prometheus
Zero Trust Network Access
Message Oriented Middleware
Datadog
Data Logging
Google Cloud Platform
PyTorch
Grafana
Multi-Cloud
HybridCloud
Cloudformation
Event Driven Architecture
Containerization
Kubernetes
Infrastructure Automation Frameworks
Machine Learning Operations
Terraform
Domain Driven Design
gRPC
Data Pipelines
Dynatrace
Docker
Programming Languages
Microservices
Job description
- Design and deliver end-to-end AI/ML solutions, including data pipelines, model deployment patterns, and inference serving layers
- Architect cloud-native solutions across AWS, Azure, and Google Cloud Platform, translating business requirements into scalable and secure infrastructure
- Lead the design of distributed systems, microservices, and event-driven architectures aligned with domain-driven design and modern patterns
- Establish DevOps practices including CI/CD pipeline design, containerization with Docker and Kubernetes, and infrastructure automation using Terraform or CloudFormation
- Implement observability strategies with logging, metrics, and distributed tracing
- Design secure architectures incorporating zero-trust principles, threat modeling, secrets management, and compliance frameworks (SOC2, ISO 27001, HIPAA)
- Collaborate with engineering, security, product, and leadership teams to ensure solutions meet performance, reliability, and strategic requirements
- Validate architectural decisions through hands-on prototyping and engineering work
Requirements
- 5+ years of architecture experience designing enterprise-scale systems
- Deep expertise in AI/ML solutions architecture, including model deployment, frameworks (TensorFlow, PyTorch), and integration patterns
- Strong proficiency across AWS, Azure, and Google Cloud Platform with demonstrated multi-cloud or hybrid-cloud architecture experience
- Solid foundation in distributed systems, microservices, APIs (REST/gRPC), and asynchronous messaging patterns
- Hands-on experience with at least one programming language (Python, Node.js, or Go) for prototyping and validation
- Expertise in DevOps practices: CI/CD pipelines, Docker, Kubernetes, and infrastructure automation
- Comprehensive understanding of cloud security, IAM, encryption, secrets management, and compliance frameworks
- Experience with observability tooling (Prometheus, Grafana, ELK, OpenTelemetry) and automated testing for infrastructure and applications
- AWS Solutions Architect, Azure Solutions Architect Expert, or Google Professional Cloud Architect certification preferred
About the company
Unison Systems is seeking an AI / ML Solutions Architect to join our client's team in the Denver Tech Center (DTC).
This is a 6-month hybrid contract with potential to extend. The role is positioned for a senior-level architect with deep expertise in AI/ML, cloud platforms, and enterprise systems design., Unison Systems is Colorado's leading IT staffing and engineering consulting firm - apply today and let us put our 27 years of expertise to work for you.