Forward-deployed engineering
Embed with domain experts, learn the operating model, find the constraint, and lead the production system from discovery through adoption.
AI Architect at Synechron / Forward-deployed operating model
Learn the domain.Transform the operation.
I embed with domain experts, learn how the business actually works, and lead the AI-enabled systems that turn operational knowledge into measurable digital transformation.
Current roleAI Architect / Lead Engineer
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 ArchitectForward-Deployed Engineering LeaderPrincipal Java EngineerDigital Transformation Leader
What I am hired to do
Enter the domain. Leave a transformed operation.
Forward-deployed engineering joins discovery, architecture, implementation, adoption, and production accountability under one technical leader.
AI platform architecture
Grounded agent workflows, RAG, evaluation, structured outputs, and human controls designed as production platform capabilities.
Java and Spring systems
Hands-on ownership of service boundaries, APIs, persistence, integration contracts, security, testing, and operational behavior.
Digital transformation
Translate financial, healthcare, payments, logistics, IoT, and telecom operations into scalable digital workflows without destabilizing the business.
Engagement model
Domain immersion through production adoption
Business domains
Financial reporting / Medicare / Payments
Technical ownership
Architecture / APIs / AI workflows / Integration / Deployment
Control environment
Regulated rules / Human review / Traceability / Production hardening
Selected evidence
Production work, not AI theater.
Three examples of domain immersion translated into systems, controls, adoption, and measurable operational change.
Financial reporting automation
Challenge
Learn how business-critical financial reporting works across banking, accounting, reconciliation, and operational teams, then remove fragmented manual workflows.
My contribution
Embedded in the reporting domain, audited source formats and control points, and led architecture plus hands-on delivery across Java, Spring AI, validation, bank integrations, agent workflows, and deployment automation.
Result
Converted learned financial-reporting practices into a traceable AI-enabled automation platform with explicit controls, repeatable processing, and production-ready service boundaries.
Java / Spring Boot / Spring AI / Python / Ansible / OpenAI Codex / Claude Code
Medicare plan digitalization
Challenge
Audit how Individual Medicare plans are assembled, validated, and marketed, then scale a regulated process that previously produced four plans.
My contribution
Worked from domain rules and source material to design an AI-assisted plan factory across Java/Spring services, Python-supported workflows, validation controls, and digital integration points.
Result
Supported expansion of plan-production scope from four to 372 Individual Medicare plans during the 2025 engagement, with source-grounded automation, rule validation, traceability, and human review.
Java / Spring Boot / Python / Kotlin / Swift / Context engineering
Payment processing transformation
Challenge
Learn BMO payment-processing operations and replace constrained debit and credit workflows without disrupting banking controls or mobile-facing services.
My contribution
Mapped payment flows, integration contracts, risk controls, and operational edge cases, then built a new processing engine and supporting APIs with AI-assisted engineering tools.
Result
Delivered a modern payment-processing foundation spanning transaction workflows, integrations, geofencing, suspicious-activity detection, and mobile-facing services.
Java / Spring Boot / Payments / REST APIs / Integration / AI-assisted engineering
Forward-deployed operating model
Embed. Learn. Transform. Ship. Scale.
The work starts inside the customer operation, not with a generic AI solution. Domain evidence frames the system; engineering rigor, adoption, and production feedback make the transformation durable.
- 01EmbedPeople + operation
- 02LearnRules + constraints
- 03TransformWorkflow + architecture
- 04ShipSoftware + AI
- 05ScaleAdoption + feedback
Experience
Forward-deployed leadership 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
Operate as a forward-deployed AI architect: learn financial reporting and banking operations with domain experts, then lead architecture and delivery of the automation platform across Java, Spring AI, Python-supported validation, agents, and deployment automation.
- Audited financial-reporting workflows, source formats, reconciliation controls, and operational handoffs before translating them into automated services and AI-assisted workflows.
- 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
Embedded in the Individual Medicare plan lifecycle, audited how plans are built and marketed, and led the AI-enabled transformation across Java/Spring services, Python-supported workflows, healthcare rules, and digital integrations.
- Supported expansion of plan-production scope from four to 372 Individual Medicare plans during the 2025 engagement through source-grounded automation, domain-rule validation, traceability, and human review.
- 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.
- Learned BMO payment-processing operations and built a new processing engine spanning debit and credit workflows, payment integrations, geofencing, suspicious-activity detection, and mobile-facing transaction APIs.
- 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