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# Solution Architect - Launchdarkly - AI Agent & Integration

- **Company:** Centraprise Corp
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Audit Trail, Microsoft Azure, Cloud Engineering, Data Streaming, Datadog, Google Cloud, LangChain, Delivery Pipeline, Large Language Models, Agentic-AI, Event Driven Architecture, Kubernetes, Low Latency, CrewAI, AutoGen, Enterprise Integration, Apache Kafka, Machine Learning Operations, Virtual Agents, Api Design, Restful APIs, Microservices
- **Published:** November 7, 2026
- **Apply:** https://www.dice.com/job-detail/fbcab5ec-19ef-4055-805d-5e9cdde65e85

## About the Role

* 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, Google Cloud Platform) 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.