Solution Architect

are seeking a hands-on Platform Engineer with strong full-stack software development and AI engineering skills to join the CPS PEArch team.

PEArch team designs, builds, and governs scalable, secure, and resilient platform capabilities that support critical Wealth Management applications. Its mission is to turn architectural standards into reusable engineering solutions, platform services, AI agents, and automation that application teams can adopt at scale.

This is a software engineering role with architecture responsibilities-not solely an infrastructure administration or architecture-review position. The candidate will own solutions from design and coding through testing, deployment, observability, and production support. Candidate will collaborate with Core Platform Engineering, application development, embedded SRE, cybersecurity, infrastructure, and production-management teams to improve reliability, accelerate delivery, and strengthen engineering standards.

Key Responsibilities -

• Full-Stack Software and Platform Development

o Design, develop, test, and operate production-grade APIs, backend services, web applications, and developer-facing platforms. Build self-service portals, infrastructure platform catalogs, reusable components, and automation that simplify adoption of approved platform capabilities.

o Develop integrations across application services, databases, messaging platforms, API gateways, and enterprise engineering tools.

o Write maintainable, secure, well-tested code and participate in code reviews, design discussions, troubleshooting, and performance optimization.

o Own capabilities throughout the SDLC, including CI/CD, deployment, rollback, documentation, and operational readiness. AI Engineering and Intelligent Automation

o Build AI agents and AI-assisted workflows for architecture analysis, engineering knowledge discovery, evidence collection, standards validation, and remediation planning.

o Develop retrieval-augmented generation solutions that ground responses in authorized architecture documents, code, configuration, and platform knowledge.

o Integrate agents with enterprise APIs and tools through controlled interfaces, including Model Context Protocol (MCP) where appropriate.

o Implement evaluation frameworks for accuracy, grounded ness, safety, consistency, latency, and cost.

o Engineer production controls for AI systems, including access restrictions, bounded execution, auditability, human approval, and safe fallback behavior.

o Automate architecture-review feedback and remediation tracking within developer workflows.

• Resilience, Scalability, and Operational Excellence

o Identify and remediate single points of failure, shared-resource risks, scaling bottlenecks, and critical dependency weaknesses.

o Implement timeouts, bounded retries, circuit breakers, bulkheads, idempotency, backpressure, and graceful degradation where appropriate.

o Design and validate high-availability, failover, disaster-recovery, and data-reconciliation capabilities aligned with business requirements.

o Build observability through metrics, structured logs, distributed tracing, dashboards, and actionable alerts.

Software Development, Engineering, Artificial Intelligence (AI), Wealth Management, Architectural Services, Automation, Artificial Intelligence (AI) Agents, Scalable System Development, Testing, Reliability Engineering