Software Architect I
Axelon Services Corporation
Aliso Viejo, CA
Job Title: Enterprise Architect - Full Stack, AI/ML ( Remote)
Pay Range: 65 - 75/hr
*Please include Linkedin on your resume*
Role Overview:
The Enterprise Architect - Full Stack, AI/ML will be responsible for defining and leading enterprise grade solution architectures that integrate modern full stack engineering practices with scalable AI/ML capabilities.
The role requires deep experience across application engineering, MLOps, cloud-native architectures, data engineering, and enterprise integration. You will work closely with business, product, engineering, and data science teams to conceptualize, architect, and deliver complex, secure, scalable, and high performing digital ecosystems powered by AI/ML.
This role requires 12+ years of hands-on and architectural experience in large-scale enterprise environments.
Key Responsibilities
1. Enterprise Architecture & Strategy
- Define end-to-end architecture for full stack and AI/ML systems across discovery, data management, model development, deployment, and operations.
- Establish enterprise architecture principles, standards, and governance models for AI-enabled platforms.
- Drive digital modernization and cloud transformation initiatives aligned with business goals.
- Evaluate emerging technologies (AI/ML, DevOps, MLOps, cloud platforms) to accelerate enterprise innovation.
2. AI/ML Solution Architecture
- Architect scalable ML pipelines and automated workflows including data ingestion, feature engineering, model development, evaluation, deployment, and monitoring.
- Design and implement CI/CD and MLOps frameworks.
- Work with data scientists, ML engineers, and analytics engineers to operationalize AI/ML models at scale.
- Ensure governance, compliance, versioning, reproducibility, and monitoring for AI/ML systems.
3. Full Stack & Platform Architecture
- Design and review enterprise applications combining backend, frontend, cloud APIs, and microservices.
- Lead architecture for full stack development teams including scalable frontend, middleware, data APIs, microservices, and cloud-native services.
- Guide solution teams on performance optimization, caching, distributed systems, and containerized deployments (Docker/Kubernetes).
- Oversee API-first integration patterns, event-driven designs, and asynchronous architectures.
4. Cloud & DevOps/MLOps Integration
- Architect multi-cloud and hybrid solutions across AWS, Azure, and GCP ensuring interoperability and vendor-neutral design.
- Lead cloud automation, DevOps pipelines, infrastructure as code, and observability tooling.
- Implement secure, robust API management and enterprise connectivity models.
5. Stakeholder Leadership & Governance
- Partner with business leaders to translate complex business goals into technical roadmaps.
- Mentor engineering teams and foster best practices in solution delivery, coding, security, scalability, and architecture standards.
- Facilitate architecture review boards, technical audits, and solution governance.