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Senior Enterprise Architect – AI / GenAILocation: Charlotte, NC –
Hybrid, 3 days onsite/weekSalary: $165K–$180K/yearAI Focus: 40–60% of the role
Position Overview
Citco Technology Management, Inc. is seeking a Senior Enterprise Architect to define and govern enterprise-wide architecture across applications, data, integration, cloud, platforms, and emerging technologies, with a strong focus on AI, GenAI, LLMs, and agentic automation.
This is a hands-on technical architecture role, not a strategy-only or governance-only position. The ideal candidate will be able to independently design solutions, write Python, prototype and validate AI solutions, evaluate models, and work closely with engineering teams.
Key Responsibilities
Define enterprise architecture principles, standards, reference architectures, and technology roadmaps.
Design scalable, secure, resilient cloud-native and hybrid architectures.
Provide technical leadership across application, data, integration, cloud, and AI initiatives.
Architect and evaluate GenAI, LLM, RAG, and agentic AI solutions.
Build prototypes and perform technical validation using Python.
Evaluate AI models based on quality, accuracy, performance, latency, cost, and reliability.
Design enterprise RAG architectures including embeddings, vector search, retrieval, and LLM integration.
Guide API-driven, event-driven, and enterprise integration architectures.
Establish architecture governance, security, compliance, risk, and AI guardrails.
Review and approve solution designs and guide engineering teams on implementation.
Evaluate emerging AI technologies and drive the evolution of enterprise AI platform capabilities.
Independently lead complex initiatives with minimal supervision.
Required Qualifications
10+ years of Enterprise/Solution/Technical Architecture experience.
Strong enterprise architecture experience across application, data, integration, cloud, and platforms.
Hands-on experience with AI/GenAI, LLMs, and RAG.
Mandatory hands-on Python experience with recent coding/prototyping.
Experience with AI/model evaluation and technical validation.
Strong cloud architecture experience with AWS, Azure, or Google Cloud Platform; AWS strongly preferred.
Experience with large-scale distributed systems and hybrid architectures.
Strong understanding of API-driven and event-driven architectures.
Experience with data architecture, governance, and enterprise integration.
Strong understanding of security, compliance, risk, scalability, and resiliency.
Excellent technical communication and ability to explain architecture decisions and tradeoffs.
Preferred Technical Skills
AI/GenAI: LLMs, RAG, Agentic AI, AI evaluation, AI governance
Cloud AI: AWS Bedrock, SageMaker, Azure OpenAI, Vertex AI
RAG/Search: Vector databases, embeddings, semantic/hybrid search, reranking
Development: Python, REST APIs, SDKs, automation, prototyping
Architecture: Microservices, distributed systems, event-driven architecture, APIs, hybrid cloud
Ideal Candidate
The ideal candidate is a hands-on Senior/Principal Enterprise Architect who can combine enterprise architecture leadership with practical AI engineering. They should be capable of taking a business problem, designing the architecture, writing code/prototyping the solution, evaluating AI models, and guiding the implementation.
Candidates must be able to work onsite in Charlotte 3 days per week.
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