What are the responsibilities and job description for the Solution Architect position at Olik Global?
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
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
- 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
- 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)