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Enterprise AI Architect

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Software Guidance & Assistance, Inc. (SGA, Inc.)
Full Time position
Listed on 2026-02-21
Job specializations:
  • IT/Tech
    AI Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Software Guidance & Assistance, Inc., (SGA), is searching for an ENTERPRISE AI ARCHITECT for a CONTRACT assignment with one of our premier INSURANCE clients in HARTFORD, CT OR CHARLOTTE NC
.

This is a Hybrid role – 3 days in office (Charlotte or Hartford – No remote option).

Role Overview

We are seeking a highly skilled, hands‑on AI Architect to support the Enterprise Technology Architecture (ETA) organization. This role will be responsible for leading the design, governance, and implementation of AI‑centric technology architectures across a hybrid infrastructure landscape, including AWS, Google Cloud Platform (GCP), and on‑premises data centers. The AI Architect will play a critical role in enabling the responsible and secure adoption of Generative AI (GenAI) technologies, establishing architectural standards, and driving the implementation of multiple internal‑facing GenAI use cases.

This role requires a strong blend of strategic architectural background and hands‑on technical execution.

Key Responsibilities Architecture & Strategy
  • Design and develop Agentic AI solutions leveraging Google ADK, Lang Graph/Langchain, and Agent Engine on Google Cloud Platform (GCP).
  • Deliver innovative AI capabilities that enhance business processes and customer experiences through GenAI and Agentic AI frameworks.
  • Ensure AI solutions align with enterprise technology strategy and meet scalability, security, and compliance requirements.
  • Drive adoption of GenAI and Agentic AI frameworks across business units.
  • Conduct proof‑of‑concepts (POCs) for emerging AI technologies and frameworks.
  • Collaborate with enterprise architects to ensure AI solutions align with technology strategy and reference architectures.
  • Stay current with AI trends, frameworks, and best practices to propose innovative solutions.
Cloud Security (AWS & GCP)
  • Architect and implement secure cloud solutions leveraging native services and third‑party tools.
  • Define and enforce cloud security posture management (CSPM), identity and access management (IAM), and encryption strategies.
  • Collaborate with Dev Ops and cloud engineering teams to embed security into CI/CD pipelines and infrastructure‑as‑code.
Datacenter & Hybrid Security
  • Ensure secure integration between cloud platforms and on‑prem datacenters, including network segmentation, VPNs, and secure data flows.
  • Oversee security controls for legacy systems and their modernization paths.
GenAI Security Enablement
  • Define security and governance frameworks for GenAI platforms and use cases.
  • Ensure responsible AI practices including data privacy, model integrity, and ethical AI usage.
  • Collaborate with AI/ML teams to secure model training, inference, and deployment pipelines.
Governance & Collaboration
  • Serve as a key member of the Enterprise Technology & Solution Governance.
  • Partner with business, IT, and risk stakeholders to align security architecture with enterprise goals.
  • Provide technical guidance and mentorship to junior engineers and architects on AI development practices.
Qualifications
  • 10–12 years in Software Engineering, with at least 2 years in GenAI and Agentic AI development.
  • Delivered at least one GenAI or Agentic AI project end‑to‑end.
  • Strong proficiency in Google ADK, Lang Graph/Langchain, Agent Engine, and Vertex AI.
  • Hands‑on experience with GCP services:
    Cloud Run, ECS, Vertex AI Search Engine, IAM, and networking.
  • Solid understanding of GenAI patterns, LLM fine‑tuning, and prompt engineering.
  • Programming skills in Python, Java, or similar languages for AI development.
  • Cloud certifications: GCP Professional Machine Learning Engineer or GCP Professional Cloud Architect preferred.
  • Education:

    Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.
  • Strong problem‑solving, communication, and collaboration skills.
Key Competencies
  • Strategic and analytical thinking.
  • Successfully integrated AI agents into business or technical workflows for automation and enhanced decision‑making.
  • Improved operational efficiency and customer experience through AI‑driven innovation.
  • Established reusable AI patterns and best practices for enterprise adoption.
  • Strong communication and stakeholder engagement.
  • Proactive and solution‑oriented…
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