AI Architect (GenAI & Agentic AI)
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StatusNeo
Charlotte, NC, US
Summary
Lead the architecture and design of enterprise-grade Generative AI solutions, including LLMs, RAG, and agentic systems. Partner with business stakeholders to define AI strategy and guide engineering teams through technical implementation and governance.
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 AI
Architect 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 the
ability to translate business challenges into scalable AI platforms.
You will work closely with
business stakeholders, enterprise architects, and engineering teams to define
AI strategy, architect intelligent systems, and drive the successful
implementation of AI-powered applications across the enterprise.
Key Responsibilities
Lead the architecture and design
of enterprise AI and Generative AI solutions.
Design scalable AI platforms
leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG),
AI Agents, and modern cloud services.
Develop AI reference
architectures, reusable frameworks, and engineering best practices.
Partner with business and
technology stakeholders to identify AI use cases and define implementation
roadmaps.
Guide engineering teams through
architecture reviews, technical decision-making, and solution delivery.
Design secure, scalable
integrations with enterprise applications, APIs, and data platforms.
Establish AI governance,
observability, security, and responsible AI practices.
Mentor engineering teams and drive
technical excellence across AI initiatives.
Stay current with emerging AI
technologies and evaluate their applicability to enterprise use cases.
Required Qualifications
Bachelor's or Master's degree in
Computer Science, Engineering, or a related field.
10+ years of software engineering,
solution architecture, or enterprise architecture experience.
3+ years designing and delivering
Generative AI or Machine Learning solutions in production.
Strong experience designing
cloud-native architectures on Azure, AWS, or GCP.
Hands-on experience with Large
Language Models (OpenAI, Azure OpenAI, Anthropic, Gemini, etc.).
Experience implementing
Retrieval-Augmented Generation (RAG), vector databases, semantic search, and
prompt engineering.
Strong programming experience in
Python and modern API development frameworks.
Experience with containerization,
Kubernetes, CI/CD, Infrastructure as Code, and modern DevOps practices.
Strong understanding of
distributed systems, APIs, microservices, and enterprise integration patterns.
Preferred Qualifications
Experience with AI Agent
frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar.
Experience building enterprise
knowledge platforms and AI-enabled search solutions.
Exposure to MLOps, LLMOps, AI
observability, and model lifecycle management.
Experience integrating AI
solutions with enterprise platforms such as ServiceNow, GitHub, Jira, cloud
infrastructure, or ITSM tools.
Experience working within highly
regulated industries such as Financial Services, Insurance, Healthcare, or
Telecommunications.
Technical Skills
Python
Azure OpenAI / OpenAI APIs
LangChain, LangGraph, CrewAI or
equivalent frameworks
RAG, Vector Databases (Azure AI
Search, Pinecone, pgVector, Weaviate, etc.)
FastAPI / REST APIs
Azure, AWS, or GCP
Docker & Kubernetes
GitHub Actions / Azure DevOps
SQL & NoSQL Databases
Terraform or Infrastructure as
Code
Leadership Competencies
Strong consulting and stakeholder
management skills.
Ability to influence technical and
business leadership.
Excellent communication and
presentation skills.
Ability to lead cross-functional
engineering teams in agile environments.
Passion for innovation, continuous
learning, and solving complex business problems through AI.
All enterprises are racing to adopt AI.
Very few are able to make it real, governed, and outcome-driven.
At StatusNeo, we build Authentic AI.
AI that is not layered on top—but embedded into how businesses decide, build, and operate.
Our approach is anchored in two core constructs:
**AuthenticAI (TM)** — applying AI where it truly drives value across engineering, operations, and decision-making (not experimentation theatre).
**Decision Fabric** — a unified layer connecting strategy, data, systems, and execution into measurable business outcomes.
Together, they transform AI from fragmented initiatives into enterprise-wide capability.
We partner with enterprises across the full transformation lifecycle:
•Strategic & Domain Consulting — reimagining business models and operating structures through an AI-native lens
•Product & Platform Engineering — building scalable, resilient digital platforms with embedded intelligence
•AI-Native SDLC & DevSecOps — transforming how software is built, tested, secured, and deployed
•Managed Transformation & Operations — shifting from CapEx-heavy builds to outcome-driven operating models
Our delivery model blends AI-augmented engineering, domain-aligned ownership, and scalable global delivery—enabling enterprises to move faster, operate leaner, and deliver measurable value consistently.
We work with global enterprises across financial services, telecom, healthcare, travel, retail, and high-tech—helping them transition from digital ambition to AI-native execution.
Headquartered in Silicon Valley, with global delivery across the US, EMEA, and APAC.
If your organization is moving toward AI, the question is not whether to adopt it—but how to make it real, scalable, and accountable.
---------
That is where StatusNeo comes in.
[email protected]
Founded
2020
Company size
1,001-5,000 employees
Industry
Business Consulting and Services
Org type
Privately Held
Headquarters
Palo Alto, California
All enterprises are racing to adopt AI.
Very few are able to make it real, governed, and outcome-driven.
At StatusNeo, we build Authentic AI.
AI that is not layered on top—but embedded into how businesses decide, build, and operate.
Our approach is anchored in two core constructs:
**AuthenticAI (TM)** — applying AI where it truly drives value across engineering, operations, and decision-making (not experimentation theatre).
**Decision Fabric** — a unified layer connecting strategy, data, systems, and execution into measurable business outcomes.
Together, they transform AI from fragmented initiatives into enterprise-wide capability.
We partner with enterprises across the full transformation lifecycle:
•Strategic & Domain Consulting — reimagining business models and operating structures through an AI-native lens
•Product & Platform Engineering — building scalable, resilient digital platforms with embedded intelligence
•AI-Native SDLC & DevSecOps — transforming how software is built, tested, secured, and deployed
•Managed Transformation & Operations — shifting from CapEx-heavy builds to outcome-driven operating models
Our delivery model blends AI-augmented engineering, domain-aligned ownership, and scalable global delivery—enabling enterprises to move faster, operate leaner, and deliver measurable value consistently.
We work with global enterprises across financial services, telecom, healthcare, travel, retail, and high-tech—helping them transition from digital ambition to AI-native execution.
Headquartered in Silicon Valley, with global delivery across the US, EMEA, and APAC.
If your organization is moving toward AI, the question is not whether to adopt it—but how to make it real, scalable, and accountable.
---------
That is where StatusNeo comes in.
[email protected]
Founded
2020
Company size
1,001-5,000 employees
Industry
Business Consulting and Services
Org type
Privately Held
Headquarters
Palo Alto, California
