AI Cloud Solution Architect, Remote
Contract Independent
Contract Corp To Corp
Contract W2
24 Months
No Travel Required
Remote
$75/hr
Fitment
Dice Job Match Score™
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Job Details
Skills
- Enterprise Architect
- Solutions Architect
- Software Architect
- Technical Architect
- AI Architect
- AI Solutions Architect
- Cloud Architect
- Cloud Solutions Architect
- Cloud Application Architect
- Data Architect
- Cloud Data Architect
- Enterprise Data Architect
- AI/ML Solutions Architect
- Terraform
- React.js
- Kubernetes
- LangChain
- Machine Learning (ML)
- Microsoft SQL Server
- PostgreSQL
- Enterprise Architecture
- Design Patterns
- DevOps
- Docker
- Databricks
- Data Architecture
- Data Modeling
- Database Design
- Cloud Computing
- Artificial Intelligence
- AngularJS
- Autogen
- Ansible
- Amazon Web Services
- GitLab
- Enterprise Software
- MongoDB
- NoSQL
- Microsoft Azure
- Microservices
- Java
- Python
- Quality Assurance
Summary
AI Cloud Solution Architect
Remote/TX
Contract
$75/hr Max
The Opportunity
We are looking for a hands-on Solution Architect to design and guide the building of performant, resilient, and scalable SaaS applications for complex, real-world industrial environments. You will own the architecture of cloud-native, on-premises, microservice-based platforms end-to-end — from data modeling and infrastructure through deployment — while also shaping how emerging AI and agentic technologies are incorporated into our solutions. This is an individual-contributor role with significant technical influence: you will guide engineering teams on architectural decisions, collaborate across product, sales, and customer teams, and remain a hands-on contributor to development.
What You'll Do
- Solution Architecture: Design and implement performant, resilient, and scalable applications following microservice architecture for both Cloud and on-premise deployment.
- Technical Leadership: Guide the team on architectural and technical decisions, ensuring adherence to best practices and accepted technical standards.
- Cloud & Infrastructure: Architect cloud-native solutions on Azure and/or AWS using containers (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform, Ansible).
- On-Premises deployment: Architect solution should be deployed in both of cloud and on-premise with same package.
- Documentation: Produce detailed architecture diagrams and documentation that accurately capture the current state of applications and new feature implementations.
- Data Architecture: Guide data modeling and database design decisions across relational and NoSQL systems (PostgreSQL, MongoDB, SQL Server).
- AI & Agentic Enablement: Evaluate and help integrate AI/ML and agentic AI patterns (LLMs, RAG, multi-agent frameworks, knowledge graph) into enterprise solution architectures where they add value.
- Cross-Functional Influence: Partner with product management, Corporate Architecture, Platform, sales, customer, and engineering teams to align technical solutions with business needs.
- Hands-On Delivery: Actively contribute to development, maintaining high code quality and testing your own work before handoff to QA.
- Continuous Learning: Maintain up-to-date knowledge of existing and emerging technologies relevant to the role and communicate risks and issues clearly and in a timely manner.
The Technology Stack
Qualifications
Must Haves:
- BS in Computer Science or a related STEM field.
- 10+ years of experience in software development/architecture.
- Proven track record designing and implementing scalable SaaS/on-premise applications following microservices/architecture patterns in real-world scenarios.
- Strong experience with cloud-native technologies (Azure and/or AWS, Docker, Kubernetes, Terraform, Ansible).
- Data modeling and database design experience (PostgreSQL, MongoDB, SQL Server).
- Experience with data platforms/pipelines (e.g., Databricks, Airflow, Delta Lake, OSIPI, PHD).
- Knowledge of AI/ML technologies, including agentic AI frameworks (LangChain, AutoGen, CrewAI), DeepAgent, and Knowledge Graph.
- Fluency in one or more of: Node.js, Python, Java.
Additional Skills:
- Architecture: Microservices, Enterprise Architecture, SaaS design patterns.
- AI/ML: LLMs, agentic AI frameworks (LangChain, AutoGen, CrewAI), prompt engineering, retrieval-augmented generation (RAG), vector databases, DeepAgent, Knowledge Graph.
- Data: PostgreSQL, data platforms/pipelines (e.g., Databricks, Airflow, Delta Lake), OSIPI, PHD.
- Cloud & Infrastructure: Azure, AWS, Docker, Kubernetes, Terraform, Ansible.
- DevOps: CI/CD build pipelines, GitLab Runner (or equivalent).
- Languages: Python, Node.js, Java.
- UI: React/Angular (or comparable frontend frameworks), Model Federation.
Desired Profile
- The Systems Thinker: You see the whole picture—from the data layer to infrastructure to user experience—and design architectures that hold up under real-world scale and complexity.
- The Pragmatic Builder: You view architecture as a hands-on discipline. You translate designs into working, well-tested code rather than diagrams alone.
- The Trusted Advisor: You are comfortable influencing cross-functional stakeholders—product, sales, customer, and engineering—and communicate technical trade-offs clearly.
- The Emerging-Tech Evaluator: You stay current on cloud-native/on-premise and AI/agentic patterns and know when—and when not—to apply them to a given problem.
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: 91172515
- Position Id: 9073679
- Posted 3 hours ago
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