Hi,
Hope you're doing well.
My name is Mayank, and I am a Technical Recruiter from Empower Professionals Inc. We are sourcing for a "Enterprise Architect – Full Stack, AI/ML" role and it's a long-term contract with possible extensions.
If you have any suitable profiles, please share their updated resumes with the candidate's location, work authorization and expected rate so that we can proceed.
Role: Enterprise Architect – Full Stack, AI/ML
Location: Remote
Duration: 12+ Months
Must have:
- Enterprise Architect - Full Stack, AI/ML ML systems across discovery, data management, model development, deployment, and operations
- AI/ML Solution Architecture Architect scalable ML pipelines, automated workflows, CI/CD & MLOps framework.
- Full Stack & Platform Architecture Design and review enterprise applications combining backend, frontend, cloud APIs, and microservices
- Cloud & DevOps/MLOps Integration Architect multi cloud and hybrid solutions across AWS, Azure, and GCP ensuring interoperability and vendor neutral design.
Description:
The Enterprise Architect – Full Stack, AI/ML is responsible for defining and leading enterprise-grade solution architectures that integrate modern full stack engineering practices with scalable AI/ML capabilities.
This role requires deep experience across application engineering, MLOps, cloud-native architectures, data engineering, and enterprise integration. You will collaborate closely with business, product, engineering, and data science teams to design and deliver secure, scalable, high-performing digital ecosystems powered by AI/ML.
Responsibilities:
- Establish enterprise architecture principles, standards, and governance models for AI-enabled platforms.
- Drive digital modernization and cloud transformation initiatives aligned with business objectives.
- Evaluate emerging technologies (AI/ML, DevOps, MLOps, cloud platforms) to accelerate innovation.
- Architect scalable ML pipelines and automated workflows, including CI/CD and MLOps frameworks (data ingestion, feature engineering, model development, evaluation, deployment, monitoring).
- Partner with data scientists, ML engineers, and analytics teams to operationalize AI/ML models at scale.
- Ensure governance, compliance, versioning, reproducibility, monitoring, and lifecycle management of AI/ML systems.
- Design and review enterprise applications spanning backend, frontend, APIs, and microservices.
- Lead full stack architecture including frontend frameworks, middleware, data APIs, microservices, and cloud-native services.
- Architect multi-cloud and hybrid solutions across AWS, Azure, and GCP with interoperable and vendor-neutral design patterns.
- Lead cloud automation initiatives, DevOps pipelines, infrastructure-as-code implementation, and observability tooling.
- Implement secure API management, enterprise connectivity models, and cloud governance practices.
Requirements:
- Strong expertise in Java, Node.js, Python, Angular/React.
- Experience building REST APIs, microservices, and event-driven architectures.
- Deep understanding of distributed systems and scalable backend design.
- Hands-on experience with ML frameworks (TensorFlow, Scikit-learn, MLlib).
- Experience in feature engineering, model training pipelines, monitoring, and operational ML.
- Knowledge of MLOps best practices and automated model lifecycle management.
- Extensive experience with AWS, Azure, and/or GCP.
- Strong knowledge of cloud networking, containers (Docker), Kubernetes, and serverless architectures.
- Experience with CI/CD tools (Azure DevOps, GitHub, Jenkins).
- Infrastructure-as-Code expertise (Terraform, CloudFormation).
- Automated model deployment and pipeline orchestration.
In compliance with the salary transparency law, the expected pay range for this role is $60 - 70/hr. Actual compensation depends on experience and interview evaluation.
Thanks
Mayank Verma
Senior Technical Recruiter | Empower Professionals
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mayank@empowerprofessionals.com | LinkedIn: https://www.linkedin.com/in/mayankdverma/
Fax: 732-356-8009 | 100 Franklin Square Drive – Suite 104 | Somerset, NJ 08873
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