Qode

Fintech

SolutionArchitect

$175–235k ~AI est. New York, New York, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Solution Architect at Qode. Skills: AI Agent Architecture, Large Language Models, Integration Architecture, Governance Frameworks. Architect AI Agent solutions. Integrate AI agents with systems”

What You'll Achieve.

Power next-generation AI capabilities

Industry & Context.

Fintech

What They're Looking For.

Must Have

8+ years Solution Architecture experience, 8+ years Technical Architecture experience, Deep expertise AI Agent Architecture, Deep expertise Large Language Model ecosystems, Hands-on Agentic Frameworks experience, Enterprise Integration Architecture background, Proficiency observability tooling, Proficiency feature flagging platforms, Demonstrated ability design AI governance, Demonstrated ability design policy frameworks

Nice to Have

Cloud architecture certifications, AI/ML specialization, Experience MLOps tooling, Experience model registries, Experience LLMOps pipelines, Familiarity SOC2, Familiarity FFIEC, Familiarity model risk management, Prior experience enterprise AI CoE

What You'll Do.

Architect AI Agent solutions

Integrate AI agents with systems

Design API-first architectures

Design event-driven architectures

Ensure reliability across services

Ensure scalability across services

Ensure low-latency across services

Define governance frameworks for AI agents

Establish observability standards

Establish feature flagging strategies

Establish DevOps pipelines for AI systems

Collaborate with stakeholders

Align architecture decisions

Create Technical Solution Architecture documentation

Maintain architecture decision records

Maintain system diagrams

Recommend LLM providers

Recommend orchestration platforms

Provide technical leadership

Mentor engineering squads

How You'll Work.

Team & Collaboration

Work with product teams; Work with data teams; Work with engineering teams; Collaborate with stakeholders; Collaborate with Engineering; Collaborate with Data; Collaborate with Product; Collaborate with Risk

Communication Scope

Present complex architectures

Full Job Description

**ROLE OVERVIEW** 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. **KEY RESPONSIBILITIES** * • 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. **REQUIRED SKILLS & EXPERIENCE** * • 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

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