Platform Engineer – Full-Stack and AI Engineering

## Platform Engineer – Full-Stack and AI Engineering Apply:
Alpharetta, GA:
Full time:
Posted Today:
JR1044502
** We are
** At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.

Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000+, and has 58 offices in 22 countries within key global markets.
** Our challenge
** We are seeking a hands-on Platform Engineer with full-stack software development, platform engineering, and AI engineering experience. The role involves developing secure, scalable, and reliable platform capabilities for enterprise applications. The ideal candidate will contribute to software development, AI automation, architecture standards, system reliability, and production support. This position requires close collaboration with software engineering, SRE, cybersecurity, infrastructure, and production teams.  

Additional Information
* The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Alpharetta, GA is $110k - $115k/year & benefits (see below).
** The Role
**** Responsibilities:
*** Design, develop, test, deploy, and support APIs, backend services, web applications, and developer platforms.
* Build self-service portals, platform catalogs, reusable libraries, reference implementations, and engineering automation.
* Develop integrations with microservices, relational and No

SQL databases, messaging systems, API gateways, and enterprise tools.
* Create secure and maintainable code using appropriate design patterns, testing practices, and code-review standards.
* Develop and maintain CI/CD pipelines, deployment automation, rollback processes, and infrastructure or configuration as code.
* Build AI agents and LLM-enabled applications for knowledge discovery, architecture analysis, standards validation, evidence collection, and remediation planning.
* Develop retrieval-augmented generation solutions using approved documents, source code, configuration, metadata, and platform knowledge.
* Integrate AI agents with APIs and enterprise tools using controlled interfaces, tool calling, and Model Context Protocol (MCP), where applicable.
* Implement AI evaluation processes covering accuracy, groundedness, safety, consistency, latency, cost, and response quality.
* Apply AI security controls, including authentication, authorization, input validation, data protection, bounded execution, audit logging, human approval, and fallback behavior.
* Use resilience patterns such as timeouts, retries, circuit breakers, bulkheads, idempotency, back pressure, and graceful degradation.
* Implement high availability, failover, disaster recovery, data reconciliation, and recovery validation.
* Develop observability using metrics, structured logging, distributed tracing, dashboards, health checks, and actionable alerts.
* Support load testing, performance testing, failure testing, incident analysis, root-cause analysis, and production…