Charlotte, United States | Posted on 08/04/2026
- CoE/Practice Architecture, Delivery & Leadership
- City Charlotte
- State/Province North Carolina
- Country United States
Job Description
About StatusNeo:
StatusNeo is a global AI-native transformation firm helping enterprises design, engineer, and govern AI-led systems with trust at the core.
We work with global enterprises across BFSI, retail, healthcare, airlines, and platform-driven industries to transform how software is built, operated, and scaled in an AI-first world.
Our work is anchored in Authentic AI — an approach that treats AI not as a feature or experiment, but as a continuously evolving system that must be engineered with intent, accountability, and governance.
At StatusNeo, we don’t just talk about AI transformation.
We build it — across engineering platforms, AI-native SDLC, agentic systems, and enterprise operating models.
About the Role
We are seeking an experienced AIArchitect to lead the design and delivery of enterprise-grade AI solutions.This role is ideal for someone who combines deep expertise in Generative AI,cloud-native architectures, and enterprise software engineering with theability to translate business challenges into scalable AI platforms.
You will work closely withbusiness stakeholders, enterprise architects, and engineering teams to defineAI strategy, architect intelligent systems, and drive the successfulimplementation of AI-powered applications across the enterprise.
Key Responsibilities
- Lead the architecture and designof enterprise AI and Generative AI solutions.
- Design scalable AI platformsleveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG),AI Agents, and modern cloud services.
- Develop AI referencearchitectures, reusable frameworks, and engineering best practices.
- Partner with business andtechnology stakeholders to identify AI use cases and define implementationroadmaps.
- Guide engineering teams througharchitecture reviews, technical decision-making, and solution delivery.
- Design secure, scalableintegrations with enterprise applications, APIs, and data platforms.
- Establish AI governance,observability, security, and responsible AI practices.
- Mentor engineering teams and drivetechnical excellence across AI initiatives.
- Stay current with emerging AItechnologies and evaluate their applicability to enterprise use cases.
Required Qualifications
- Bachelor's or Master's degree inComputer Science, Engineering, or a related field.
- 10+ years of software engineering,solution architecture, or enterprise architecture experience.
- 3+ years designing and deliveringGenerative AI or Machine Learning solutions in production.
- Strong experience designingcloud-native architectures on Azure, AWS, or GCP.
- Hands-on experience with LargeLanguage Models (OpenAI, Azure OpenAI, Anthropic, Gemini, etc.).
- Experience implementingRetrieval-Augmented Generation (RAG), vector databases, semantic search, andprompt engineering.
- Strong programming experience inPython and modern API development frameworks.
- Experience with containerization,Kubernetes, CI/CD, Infrastructure as Code, and modern DevOps practices.
- Strong understanding ofdistributed systems, APIs, microservices, and enterprise integration patterns.
Preferred Qualifications
- Experience with AI Agentframeworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar.
- Experience building enterpriseknowledge platforms and AI-enabled search solutions.
- Exposure to MLOps, LLMOps, AIobservability, and model lifecycle management.
- Experience integrating AIsolutions with enterprise platforms such as ServiceNow, GitHub, Jira, cloudinfrastructure, or ITSM tools.
- Experience working within highlyregulated industries such as Financial Services, Insurance, Healthcare, orTelecommunications.
Technical Skills
- Python
- LangChain, LangGraph, CrewAI orequivalent frameworks
- FastAPI / REST APIs
- GitHub Actions / Azure DevOps
- SQL & NoSQL Databases
- Terraform or Infrastructure asCode
- Strong consulting and stakeholdermanagement skills.
- Ability to influence technical andbusiness leadership.
- Excellent communication andpresentation skills.
- Ability to lead cross-functionalengineering teams in agile environments.
- Passion for innovation, continuouslearning, and solving complex business problems through AI.