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# Solution Architect

- **Company:** Qode LLC
- **Location:** Jackson Township, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Audit Trail, Microsoft Azure, Cloud Engineering, Data Streaming, Web Services, Datadog, Google Cloud, Delivery Pipeline, Large Language Models, Event Driven Architecture, Kubernetes, Low Latency, Enterprise Integration, Apache Kafka, Machine Learning Operations, Virtual Agents, Api Design, Restful APIs, Microservices
- **Published:** June 6, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4ad83de96e2dcdd5

## About the Role

Do you have experience in Web services design?, *

 + 8+ years of Solution Architecture or Technical Architecture experience in enterprise environments.
 + Deep expertise in AI Agent Architecture and Large Language Model (LLM) ecosystems.
 + Hands-on experience with Agentic Frameworks - LangChain, AutoGen, CrewAI, or equivalent.
 + Strong background in Enterprise Integration Architecture: RESTful APIs, event-driven systems (Kafka, Event Grid), microservices.
 + Proficiency with observability tooling and feature flagging platforms, including LaunchDarkly.
 + Demonstrated ability to design AI governance and policy frameworks in regulated industries.
 + Experience in financial services, fintech, or banking environments preferred.
 + Excellent communication skills with the ability to present complex architectures to executive and technical audiences.

PREFERRED QUALIFICATIONS
*

 + Cloud architecture certifications (AWS, Azure, GCP) with AI/ML specialization.
 + Experience with MLOps tooling, model registries, and LLMOps pipelines.
 + Familiarity with compliance frameworks: SOC2, FFIEC, model risk management (SR 11-7).
 + Prior experience contributing to enterprise AI Centers of Excellence (CoE).

## Description

We are seeking a seasoned Solution Architect to lead the design and delivery of enterprise-grade AI Agent and integration solutions. This role sits at the intersection of AI strategy and enterprise systems engineering - translating complex business requirements into scalable, governed, and observable agentic architectures. You will work closely with product, data, and engineering teams to define blueprints that power next-generation AI capabilities across our fintech platform., *

 + Architect end-to-end AI Agent solutions leveraging LLM and Agentic frameworks (LangChain, AutoGen, CrewAI) integrated with enterprise systems.
 + Design API-first and event-driven integration architectures ensuring reliability, scalability, and low-latency across services.
 + Define governance frameworks for AI agents including access control, audit trails, policy enforcement, and responsible AI guardrails.
 + Establish observability standards using LaunchDarkly, feature flagging strategies, and DevOps pipelines for AI-driven systems.
 + Collaborate with stakeholders across Engineering, Data, Product, and Risk to align architecture decisions with business outcomes.
 + Create and maintain Technical Solution Architecture documentation, including architecture decision records (ADRs), data flows, and system diagrams.
 + Evaluate and recommend emerging AI tools, LLM providers, and orchestration platforms for enterprise adoption.
 + Provide technical leadership and mentoring to engineering squads implementing agentic solutions.


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