AL ML Solution Architect

What You ll Do…

Architect Scalable Solutions : Design end-to-end solutions for integrated business applications and ERP systems, ensuring scalability, high availability, and performance.

Drive architectural decisions for ERP modernization, API-driven integrations, data pipelines, and microservices architecture.

AI / ML Integration : Define the overall AI / ML architecture and frameworks.

Support the development and implementation of machine learning models, natural language processing (NLP), and intelligent decision engines into core ERP processes.

Enterprise Integration EDI Framework : Lead the design and oversight of a robust EDI / EI framework. Integrate backend systems through real-time APIs and asynchronous data pipelines. Standardize data contracts, routing logic, transformation processes, and messaging patterns across internal systems and external partners.

Replace legacy batch processing with scalable, event-based integrations using messaging platforms (e.g., Kafka).

API Event-Driven Architecture : As a key member of our team, design and optimize JSON / RESTful APIs and event-driven services to facilitate real-time data exchange between internal and third-party systems. Develop and manage ETL data flows into microservices or message queues, ensuring seamless integration and abstraction from underlying source technologies.

Cloud DevOps Enablement : Focus strategically on designing, implementing, and managing cloud-native application deployments on AWS, Azure, or GCP using automation tools such as Terraform and Ansible.

Collaborate with DevOps teams to integrate database schema / version control and data pipelines into CI / CD workflows while ensuring secure, compliant, and cost-optimized cloud architecture.

Enterprise Programs Collaboration : Contribute to strategic initiatives such as the NextGen Program. Ensure application and integration designs align with performance, scalability, and long-term architectural goals. Work closely with application architects, developers, and QA teams to co-design and review data-driven solutions.

What You’ll Need …

• Bachelor’s degree in Computer Science, or a related field.

7+ years of experience in software or solutions architecture, including at least 2 years in AI / ML-enabled enterprise solution design.

Hands-on experience implementing AI / ML solutions in ERP domains such as quote automation, document processing, or finance automation.

Strong knowledge of SQL / CQL, data modeling, and distributed systems architecture.

Proficiency in scripting and automation (Python, Java, Bash, Ansible).

Familiarity with DevOps practices, containerization tools (Docker, Kubernetes), and data streaming platforms (Kafka, Spark).

Experience standardizing enterprise integrations across platforms and systems.

Solid understanding of data privacy, security, and regulatory compliance requirements.