Description

Key Responsibilities

• Lead solution architecture and technical design for the JMS program, ensuring scalability, reliability, security, and alignment with enterprise standards.
• Own end‑to‑end technical delivery across design, build, test, deployment, and post‑go‑live stabilization.
• Define and govern API‑first and event‑driven architectures.
• Incorporate AI‑enabled capabilities into solution designs where appropriate (e.g., automation, intelligent routing, data enrichment, analytics, or operational insights).
• Partner closely with development, DevOps, security, and infrastructure teams to drive successful execution.
• Provide hands‑on technical guidance and troubleshooting when needed (this is not a purely advisory role).
• Collaborate effectively with offshore delivery teams, providing clear designs, documentation, and technical oversight.
• Support and contribute to migration and modernization initiatives, including legacy system transitions.
• Act as a technical liaison with stakeholders, translating business needs into well‑architected technical solutions.

Required Experience & Skills

• 10+ years overall IT experience, with 5+ years in a Solution Architect or Senior Technical Lead role.
• Proven delivery experience across the full solution lifecycle: design → build → test → go live.
• Strong hands‑on experience with:
  • API gateways (Kong)
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  • Event‑driven systems (e.g., Solace, Kafka, MQ)
• Experience designing secure, PII‑aware architectures, including:
  • Data masking/unmasking
  • Encryption in transit and at rest
• AI experience, including:
  • Designing or integrating AI/ML‑enabled services into enterprise solutions
  • Working with AI capabilities for automation, data analysis, decision support, or operational intelligence
  • Understanding model integration patterns, data requirements, and governance considerations
• Cloud experience (AWS preferred) and strong collaboration with DevOps teams.
• Comfortable being hands‑on when required, not just providing oversight or guidance.
• Experience with .NET preferred or JAVA
• Experience working in a hybrid onsite/offshore delivery model.
• Experience supporting migration projects and system modernization efforts.
• Experience applying AI to integration platforms, messaging workflows, or operational monitoring.
• Familiarity with data pipelines and analytics that support AI solutions.
• Prior experience in regulated environments with strong data governance requirements.
• Professional or personal experience with Large Language Model (LLM) Application such as Claude Code (CLI) preferred.
• Experience in AI Assisted Development preferred.
• Experience with Lucid preferred

Key Skills

Education

Bachelor's degree