Enterprise AI Architect

About the role

The Senior System Architect for an enterprise-level Gen AI solution will be responsible for defining and evolving the end-to-end architecture of the enterprise AI platform. This role supports CFO, Treasury, Risk, and Finance use cases. The position drives platform strategy, application architecture, AI/LLM integration, agentic workflows, data architecture, security, scalability, and production engineering while ensuring alignment with enterprise standards and regulatory requirements.

Responsibilities

• Serve as the technical authority for the AI ecosystem, including Knowledge Bases, RAG solutions, Agent Frameworks, MCP integrations, document intelligence, structured data intelligence, model orchestration, and platform modernization initiatives.
• Drive platform scalability and reliability to reduce the time-to-onboard new AI use cases.
• Promote the adoption of reusable architecture patterns.
• Oversee the successful deployment of agentic and GenAI capabilities.
• Ensure compliance with enterprise governance and security standards.
• Improve operational efficiency through AI-driven automation.
• Facilitate the delivery of strategic roadmap objectives.

Requirements

• 10+ years of software architecture and enterprise platform engineering experience.
• 5+ years designing AI/ML, GenAI, or advanced analytics platforms.
• Deep understanding of Generative AI and LLM architectures, Retrieval Augmented Generation (RAG), and Agentic AI frameworks (LangGraph, LangChain, MCP).
• Knowledge of vector databases, embeddings, distributed systems, and microservices.
• Familiarity with cloud-native architecture and OpenShift/Kubernetes.
• Strong experience with Python, REST APIs, Oracle, enterprise data platforms, Redis, and caching technologies.
• Proficiency in CI/CD and DevSecOps practices.
• Experience delivering AI platforms within Financial Services, Treasury, Risk, or CFO organizations.
• Experience with MCP-based tool integration architectures and Enterprise Knowledge Base solutions.
• Familiarity with Document Intelligence and OCR platforms.
• Knowledge of AI governance, model risk management frameworks, OpenAI, Azure AI, or enterprise LLM ecosystems.
• Prior experience leading large-scale platform modernization initiatives.

Benefits

Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our ‘Welcome Packet’ as well, which an Everforth Apex team member can provide.