AI platform architecture
Grounded agent workflows, RAG, evaluation, structured outputs, and human controls designed as production platform capabilities.
AI Architect at Synechron
Enterprise AI.Architecture that ships.
I design and build production AI platforms where Java, Spring, enterprise data, and human judgment must work as one reliable system.
Current roleAI Architect
Synechron
- Location
- Glendale / Los Angeles, CA
- Experience
- 23+ years in software engineering
- Core
- Java / Spring / Enterprise AI
- Authorization
- U.S. citizen / No sponsorship required
Role fitAI ArchitectPrincipal Java EngineerAI Platform EngineerHands-on technical leadership
What I am hired to do
Turn AI ambition into an operable platform.
Architecture ownership stays close to implementation, validation, deployment, and production accountability.
Java and Spring systems
Hands-on ownership of service boundaries, APIs, persistence, integration contracts, security, testing, and operational behavior.
Enterprise modernization
Pragmatic migration of financial, healthcare, payments, logistics, IoT, and telecom workflows without destabilizing operations.
Selected evidence
Production work, not AI theater.
Three examples of architecture translated into systems, controls, and delivery.
Platforms AI
Challenge
Unify fragmented financial reporting, banking, accounting, deployment, and automation workflows into a maintainable AI-enabled platform.
My contribution
Own architecture and hands-on delivery across Java, Spring Boot, Spring AI, Python-supported validation, bank integrations, agent workflows, and Ansible deployment automation.
Result
Established explicit service boundaries, grounded multi-agent engineering practices, traceable workflows, repeatable delivery, and production controls for business-critical automation.
Java / Spring Boot / Spring AI / Python / Ansible / OpenAI Codex / Claude Code
Medicare plan digitalization
Challenge
Apply AI to regulated healthcare workflows while preserving business-rule accuracy, traceability, and release discipline.
My contribution
Designed source-grounded AI patterns across Java/Spring services, Python-supported workflows, healthcare plan information, and mobile integration points.
Result
Introduced reviewable AI guardrails, repeatable validation, controlled integration patterns, and modular service modernization for Medicare digital experiences.
Java / Spring Boot / Python / Kotlin / Swift / Context engineering
Real-time delivery optimization
Challenge
Operationalize AI-assisted delivery decisions across high-throughput store and mobile workflows.
My contribution
Designed Allocation, Prioritization, Re-Prioritization, and Tardiness microservices with Kafka-backed AI preprocessing, scoring, and result delivery.
Result
Integrated AI outputs into operational applications through reliable, traceable Java/Spring services and production-ready data pipelines.
Java / Spring Boot / Python / Kafka / Vertex AI / RAG / OpenAI
Operating model
Ground. Architect. Build. Evaluate. Operate.
AI delivery is a controlled software lifecycle. Source evidence and human decisions frame the system; tests, evals, observability, and production feedback keep it accountable.
- 01GroundEvidence + intent
- 02ArchitectContracts + controls
- 03BuildSoftware + agents
- 04EvaluateTests + evals
- 05OperateSignals + feedback
Experience
AI architecture built on engineering depth.
Current AI leadership supported by two decades of enterprise Java, integration, cloud, data, and production delivery.
Synechron
AI Architect / Lead Engineer
Lead architecture and delivery for a multi-module Java, Spring Boot, Spring AI, and Python-supported platform spanning financial reporting, banking workflows, enterprise automation, agents, and deployment automation.
- Own technical direction while remaining hands-on in APIs, service logic, persistence, validation, integration workflows, tests, and production hardening.
- Built a context-first engineering model for Codex, Claude Code, and GitHub Copilot using source evidence, knowledge bases, agent instructions, and validation loops.
- Hardened ISO 20022 and BAI2-style processing, SFTP and bank-report integrations, tie-out pipelines, duplicate detection, and downstream REST APIs.
Cognizant
AI Lead Engineer / Senior Software Engineer
Led AI engineering for Medicare plan digitalization across Java/Spring services, Python-supported workflows, healthcare business rules, and mobile integrations.
- Designed patterns for extracting, organizing, validating, and operationalizing healthcare plan information.
- Established source-grounded guardrails to reduce hallucination risk and preserve regulated-domain correctness.
Deloitte Consulting
Senior Software Engineer
Delivered banking, payments, retail optimization, insurance, mobile integration, and AI-assisted enterprise modernization programs.
- Modernized debit and credit card workflows, payment integrations, geofencing, suspicious-activity detection, and mobile-facing transaction APIs for BMO.
- Led AI-integrated delivery-optimization microservices and Kafka data pipelines for Walmart store operations.
- Architected authentication and integration modules and delivered a new insurance line-of-business product ahead of schedule.
TSS Wireless
Senior Software Engineer
Modernized dispatch systems into event-driven Spring Boot services with real-time tracking, streaming telemetry, and mobile field operations.
Bridge Entertainment / Epoll
Lead Project Development Engineer
Owned architecture, implementation, AWS migration, deployment automation, and production support for high-volume SaaS and survey platforms.
Lakeshore Learning Materials
Lead Development Engineer
Led B2B marketplace delivery and migrated legacy .NET capabilities into Java/J2EE and Spring applications.
MTS Integratrack
Senior Software Engineer
Built carrier-integrated activation, refill, provisioning, and account platforms; contributed to capabilities used by millions and approximately 200x customer growth over four months.
PFI Software
Software Engineer
Developed secure enterprise Java web applications, custom JSP components, servlets, JDBC persistence, and distributed-team workflows.
Recruiting and professional inquiries
Looking for an AI architect who still builds?
Send the role, problem space, and context. I read every message directly.
moganyan@moganyan.com