Enterprise Architect – Agentic AI Workflow for Banking

@Mahihassi

As an AI and Cloud Developer with extensive experience in backend architecture design and AI integration, I believe I'm a perfect match for your Agentic AI system project. My track record includes delivering scalable, AI-powered platforms that meet complex data compliance and regulatory requirements. I'm adept at leveraging industry-leading technologies to build sophisticated applications that align with specific business needs. In the banking and fintech arena, I've developed web-based dashboards and admin panels for digital wallets operations. My understanding of API governance best practices ensures seamless integration for a robust and efficient workflow. What sets me apart is my unwavering focus on scalability, clean architecture, and reliability of systems. These are imperative when wanting an intelligent and autonomous AI workflow. With a proficiency in Microservices, Spring Boot, AWS, and deep knowledge of AI models like Gemini or Claude will be essential in tailoring this Agentic AI system to your banking operations effectively. Together, I am confident we can transform your vision into a production-ready reality. Let's discuss how we can make this happen!

@chesslover

Hello there, thank you for reviewing my proposal. I'm Valentino and I have over 20 years experience with Java and JVM-based languages (Scala, Kotlin, Groovy), focusing the last eight (8) years on cloud microservices and serverless architectures with Docker + Kubernetes. I have over 10 years experience alone with vanilla Spring Boot and Spring Boot-based frameworks: - JHipster / KHipster (Kotlin Spring Boot) - Apache Grails (Groovy) - Jmix Framework - Vaadin Hilla Another 10 years experience with Java EE / Jakarta EE and related frameworks (Quarkus, Micronaut, Eclipse Vert.x, etc.). For reference, please see some of my AI projects here: https://www.freelancer.com/projects/chatgpt-ai-integration/Scala-Engineer-for-Functional https://www.freelancer.com/projects/google-cloud-platform/Document-OCR-Processing For nearly 15 years I have worked in the banking, fintech, and financial services domains: - Core banking system integration - SWIFT bank messaging - Payment integration using Stripe and Square, including Webhooks - International import / export trade finance - Accounting, GL, cost structures - Loans - Capital markets trade surveillance - Government bonds and treasury bills auction and swap - Regulatory and compliance (KYC, AML, PCI-DSS) I'm well-versed with many Spring Boot versions including the latest Spring Boot v4+ / Spring Framework v7+ in the Reactive Stack (Project Reactor). Best regards, Valentino

@alizain721

You need a production-ready, auditable agentic AI workflow that can run payments, KYC, and wallet ops while satisfying banking rules. The real challenge is letting agents act autonomously without losing control, traceability, or regulatory compliance. I recently designed an agent-orchestration layer for a digital wallet startup: Spring Boot microservices on AWS, event-driven flows, Claude as the decision agent for KYC routing, and full audit trails for regulators. That project moved into production and passed internal compliance reviews. My plan: define bounded microservices for payments, KYC, and ledger; front them with an API gateway and governance layer; use event streaming for reliable orchestration; implement an agent layer that calls Claude for decisions with human-in-loop for high-risk paths; encrypt/tokenize PII, maintain immutable audit logs, and add observability and CI/CD. Do you already have an architecture diagram or code repo to share? If you grant access I’ll review and produce a concise high-level architecture and phased implementation roadmap.

@SmartCodeDev

Hello, I can design a production ready Agentic AI architecture tailored for banking and digital wallet operations with strong focus on scalability, compliance, and autonomous workflow orchestration. I will define a secure microservices architecture using Spring Boot and AWS, structured for high availability, API governance, and financial transaction integrity. The system design will include Agentic AI workflows powered by Claude or other LLMs for intelligent decision making, task execution, and operational automation across wallet and banking processes. I will also address regulatory and compliance requirements including auditability, access control, data protection, and secure service communication. My approach focuses on clean enterprise architecture, event driven integrations, observability, and future scalability to support evolving fintech operations and AI capabilities.

@SkillCrafts

I recently architected a high-concurrency LLM orchestration layer for a Tier-1 financial institution, focusing on strict regulatory compliance and deterministic outputs. Your requirement for a production-ready Agentic AI workflow aligns perfectly with my background in bridging legacy core banking systems with autonomous multi-agent systems using frameworks like LangGraph or CrewAI. I understand the technical nuances of banking security and the critical necessity for "human-in-the-loop" oversight in agentic decision-making. My approach centers on a microservices-based architecture using a robust orchestration layer to manage agent state and memory across asynchronous tasks. I will implement a "Security-First" gateway for PII masking and prompt injection mitigation, ensuring all model interactions comply with SOC2/GDPR standards. For the backbone, I recommend a vector database like Pinecone or Milvus for RAG-enhanced retrieval, integrated via a resilient event-driven bus like Kafka to handle high-volume transactional workflows. Each agent will be containerized using Docker and Kubernetes to ensure horizontal scalability and deep observability through OpenTelemetry. Regarding orchestration, are you leaning toward a specific provider like Azure OpenAI for its private networking, or is an on-premise solution required? Also, what is the primary success metric for these agents—latency, accuracy of financial data extraction, or workflow completion rate? I’d be happy to jump on a brief call to align on your current tech stack or provide a high-level roadmap of how we can move from architectural design to a scalable, production-ready MVP.

@KarthikTechCon

Hi, I’m Karthik with 15+ years of experience in Enterprise Architecture, Banking/Fintech platforms, Microservices, AWS cloud solutions, and AI-driven application design. I can help architect a production-ready Agentic AI workflow tailored for banking and digital wallet operations with strong focus on scalability, compliance, security, and API governance. My expertise includes: ✔ Enterprise & Application Architecture for Banking/Fintech systems ✔ Microservices architecture using Spring Boot, Java, REST APIs ✔ AWS ecosystem (EKS, Lambda, API Gateway, SQS, RDS, IAM, CloudWatch) ✔ Agentic AI workflows with LLM integration (Claude, Gemini, OpenAI) ✔ AI orchestration, workflow automation, RAG, MCP, and multi-agent systems ✔ Banking compliance, audit trails, security, and regulatory considerations ✔ API governance, authentication, rate limiting, observability, and resilience I can support end-to-end architecture including solution design, system workflows, AI integration strategy, scalable infrastructure planning, and production readiness. Strong experience working with distributed enterprise systems and mission-critical applications where reliability, governance, and performance are essential. Available to start immediately. Regards, Karthik

@Appworldz

Sahanaj here. I’ve architected AI-driven fintech platforms using microservices, Spring Boot, and Amazon Web Services with strong focus on compliance, auditability, API governance, and secure LLM orchestration. For Agentic AI in banking/wallet environments, the architecture matters far more than the model itself—workflow isolation, permissions, observability, and human override layers are critical. Your rate range is honestly below enterprise-architecture market standards. Realistically, senior architecture work here sits around $35–$50/hr depending on delivery ownership. I can help design a production-grade AI workflow system that regulators won’t hate later.

@techstar12

I have worked around enterprise systems where the main challenge is not just adding an LLM, but making it safe, auditable, scalable, and easy to govern. For your project I would focus on: Clear agent workflow design with human approval where risk is high Spring Boot microservices with clean domain boundaries AWS architecure for scale, security, monitoring, and resilience LLM integration using Claude or Gemini with controlled tool access API governance including versioning, auth, throttling, and audit trails Compliance first data handling with encryption, logging, PII controls, and role based access My approach would be to deliver a practical architecture, not a theoretical diagram. You will get a complete blueprint covering services, data flow, AI agents, integration points, security controls, deployment model, observability, and compliance considerations. This kind of system needs someone who understands both banking risk and modern AI workflows. I can help you shape it into a production ready design your engineering team can actually build. Can we discuss your current banking or wallet flow and the first AI workflow you want to automate?

@belotefreelancer

"I have gone through your description. "This is my area of specialization, i can get it done 100 % perfectly well. Please ping me in person. I can help you to complete all tasks. I have hands-on experience in this field. We have already done similar types of projects. Connect with us for more details. Rest assured your satisfaction is guaranteed." Looking forward to your response." Thank you for your time and I am confident that we will be a great fit for this project. Best,

@vertechsolutions

Hi, I can fix your Enterprise Architect - Agentic AI Workflow for Banking I've solved this exact problem many times. Here is what I will do: Design a secure, production-ready Agentic AI architecture for banking workflows using Spring Boot, microservices, and AWS. Build compliant API governance, integration patterns, and LLM orchestration with Claude/Gemini for autonomous wallet and banking operations. Define data security, regulatory controls, auditability, and deployment roadmap for enterprise rollout. 10 days free support after delivery Milestone-based payment Reply "YES" and Best regards, syed ribal

@jagratip3

Hi JP, I’m very interested in your Agentic AI banking platform project and can help design a scalable, production-ready enterprise architecture tailored for fintech and digital wallet operations. My background includes enterprise application architecture, microservices ecosystems, cloud-native deployments, API governance, and AI/LLM integration for automation-focused systems. Relevant expertise includes: • Enterprise & Solution Architecture • Microservices architecture using Spring Boot • AWS cloud infrastructure and distributed systems • Banking/fintech workflow design • Secure API governance and integration strategies • Compliance-aware architecture planning • AI orchestration and Agentic AI workflows • LLM integration including Claude, Gemini, and OpenAI ecosystems For this project, I can help architect: • Autonomous AI workflow orchestration • Secure banking-grade microservices infrastructure • Event-driven and scalable backend systems • AI agents for operational automation and decision flows • API gateway, authentication, observability, and governance layers • Compliance-aware data handling architecture • Human-in-the-loop escalation workflows • Secure model integration and prompt governance I’d be happy to discuss your use cases, compliance expectations, preferred AWS stack, and AI workflow objectives in more detail. Best Regards, JP

@sergiom17

Hi there ✌️, I’ve worked as an Enterprise/Application Architect on large-scale fintech and automation platforms using microservices, Spring Boot, AWS, Kafka, PostgreSQL, Redis, Docker, and Kubernetes. I’ve designed secure API ecosystems for transaction-heavy systems with focus on scalability, auditability, compliance, and fault tolerance. Recently, I’ve also been building Agentic AI workflows integrating Claude, OpenAI, and Gemini models for autonomous decision flows, orchestration, multi-agent task execution, and banking-style approval pipelines. My experience includes API governance, IAM/security architecture, event-driven systems, observability, and compliance-aware data handling for fintech environments. I can help architect a production-ready AI system with clear service boundaries, governance, security, and scalable deployment strategy. Regards,

@NEHABHAT92

With 9+ years of experience in the software development industry, I am confident in my ability to design and implement a cutting-edge AI workflow that specifically caters to your banking and digital wallet needs. My hands-on expertise spans across Microservices, Spring Boot, and AWS, which aligns perfectly with your requirements. Having worked on projects in banking, fintech, and digital wallets domains before, I have gained a deep understanding of data compliance and regulatory requirements in the banking industry. This makes me an ideal candidate to ensure that your Agentic AI system is both efficient and legally compliant. Moreover, even though my primary focus may not have been on Agentic AI systems in the past, my general proficiency in Artificial Intelligence coupled with my unmatched drive to upskill makes me highly adaptable to any new technology. Lastly, you can rely on my company for its commitment to turning ideas into reality and providing support even after project delivery.

@tanvit64

Drawing from our extensive experience as a consultant and outsourcing partner, we are well-equipped to tackle the development of a cutting-edge Agentic AI system for your banking and digital wallet operations. My hands-on familiarity with Microservices, Spring Boot, and AWS is invaluable in implementing the robust architecture needed for such a project. Having previously worked on banking and fintech platforms, we intimately understand the significance of data compliance and regulatory requirements. We pride ourselves on our adherence to best practices in API governance, ensuring smooth integration with existing infrastructures. Our skills extend specifically to Agentic AI and LLM integration - including experience with Claude models. This insight allows us to provide valuable input throughout the design process. Our ultimate goal is to help you create an intelligent, autonomous AI system that aligns seamlessly with your enterprise needs. Choose us, and you won't just be hiring skilled consultants; you'll be engaging a team truly dedicated to seeing your project succeed. Clients rely on us time and again for our focus on quality, confidentiality, and satisfaction. With Tanvi at your side, you can be confident that your system will be delivered with precision and efficiency – today and into the future.

@toqeer74

Developing a production-ready Agentic AI system tailored for banking requires intricate integration of AI models like Claude or Gemini alongside a robust microservices architecture. The challenge lies in ensuring compliance with stringent data regulations while maintaining operational efficiency. Leveraging extensive expertise in Spring Boot and AWS, I propose utilizing a microservices framework that hosts intelligent workflows optimized for digital wallet operations. The initial deliverable can be achieved in 30 days. Want me to sketch a quick action plan so you can see the approach?

@ammark477

Scaling AI workflows in banking can be tricky, especially when determining the right technical expertise. It sounds like you need a solid plan to craft an agentic AI workflow that not only supports current banking processes but also enhances efficiency. My approach involves closely analyzing your existing systems to identify the best integration points for AI. I’ll work on mapping out an architecture that can adapt as your needs evolve, ensuring that the workflow remains efficient and responsive. I have a solid background in enterprise architecture, specifically focusing on the financial sector. I’ve helped companies streamline their operations by implementing intelligent solutions that drive better decision-making. One quick thought: have you considered how customer data can play a role in optimizing your AI processes? It could significantly enhance the outputs and insights you gain. I can have an initial deliverable ready within 30 days. Happy to share a few early ideas, want me to put something together?

@Srashtasoft

Hi there, I have read your project requirement — you need an Enterprise-grade Agentic AI system for banking/digital wallet operations with microservices architecture, compliance, and LLM integration. We can design a production-ready architecture (Spring Boot microservices on AWS) with secure API governance, event-driven workflows, and Agentic AI orchestration (Claude/Gemini) for intelligent automation — aligned with fintech compliance and scalability standards. Quick questions: ============= Target use cases (fraud detection, customer support agents, transaction automation)? Any regulatory framework to follow (RBI, PCI-DSS, GDPR)? Preferred LLM (Claude vs Gemini vs hybrid)? Expected scale (transactions/users per day)? Best Regards, Srashtasoft Team

@rutujam56

Hi, I have experience in Enterprise Architecture, Spring Boot Microservices, AWS, and Agentic AI/LLM integrations for fintech systems. I can help design a secure, production-ready AI workflow for banking and digital wallet operations. You can first review my previous work and architecture approach, and payment can be made after the work/milestone delivery. ✔ Agentic AI & LLM Integration ✔ Banking & Fintech Experience ✔ API Governance & Compliance ✔ AWS Scalable Architecture ✔ Production-Ready System Design Looking forward to discussing your requirements.

@bondify

Hi, We have strong experience in architecting enterprise-grade fintech and banking solutions using Microservices, Spring Boot, and AWS, including secure and scalable digital transaction systems. Our team also has hands-on exposure to AI-driven workflows, LLM integrations, and Agentic AI architecture design. We understand banking compliance, API governance, security standards, and production-ready system design requirements. We can help design a scalable Agentic AI ecosystem tailored for banking and digital wallet operations with proper orchestration, compliance, observability, and extensibility. We can also share relevant architecture experience and similar project details after connecting. Looking forward to discussing the scope further. Thank you.