Solution Architect Cloud Product

Overview

On Site

$55 - $65

Contract - W2

Contract - Independent

Contract - 12 Month(s)

10% Travel

Skills

Cloud Architecture

AWS

GCP

Azure

TensorFlow

PyTorch

Hugging Face

Kubeflow

MLflow

Vertex AI Pipelines

Cloud Security

Data Privacy

Compliance Standards

Model Auditing

Explainability

LLM Endpoint Protection

Responsible AI Frameworks

DevSecOps

Software Engineering

AI Security Research

AWS Certified Machine Learning Specialty

Google Cloud Professional ML Engineer

CISSP

AWS Security Specialty

Job Details

Job Title: Solution Architect Cloud Product
Location: Berkeley Heights, NJ / Alpharetta, GA (Onsite 5 Days a Week)
Experience Required: 10 14 Years
Job Type: Contract (W2/C2C)

Important Submission Guidelines

Candidate must provide full legal name (as per passport), email address, and direct phone number (No Google Voice/IP numbers)
LinkedIn Profile & Passport Number are mandatory for submission
Technical video screening will be conducted before submission
Do not share fake or unverifiable profiles

Job Description:

We are seeking a Solution Architect Cloud Product with strong expertise in cloud architecture and AI/ML implementation. This role will play a pivotal part in designing secure, scalable enterprise-grade applications and leading cloud transformation initiatives.

Key Responsibilities:

Architect and design cloud-native solutions on AWS, Azure, or Google Cloud Platform
Develop and implement AI/ML-based architectures, including model deployment pipelines and monitoring
Collaborate with business, engineering, and security teams to drive architecture best practices
Integrate MLOps tools like Kubeflow, MLflow, or Vertex AI Pipelines into the cloud strategy
Ensure data privacy, compliance, and secure cloud infrastructure
Mentor cross-functional teams and guide stakeholders with technical leadership
Apply AI security techniques such as model auditing, LLM protection, and responsible AI practices

Mandatory Skills:

10+ years in cloud architecture roles
4+ years in AI/ML solution design and implementation
Deep hands-on experience with AWS, Google Cloud Platform, and/or Azure
Strong with ML frameworks: TensorFlow, PyTorch, Hugging Face
Familiarity with cloud security, data privacy, and compliance
Excellent communication and stakeholder management skills

Preferred Qualifications:

Experience in regulated industries like financial services
Background in DevSecOps, software engineering, or AI security research
Relevant certifications (preferred but not mandatory):
- AWS Certified Machine Learning Specialty
- Google Cloud ML Engineer
- CISSP, AWS Security Specialty

To Apply:

Send qualified resumes to with subject line:
Solution Architect Cloud Product [Candidate Name]

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.