Enterprise AI Architect

Remote • Posted 22 hours ago • Updated 22 hours ago

Contract W2

50% Travel Required

Remote

$80 - $90/hr

Fitment

Dice Job Match Score™

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Job Details

Skills

Generative Artificial Intelligence (AI)
Artificial Intelligence
Virtual Private Network

Summary

Job Title : Enterprise AI Architect

Contract

Hybrid remote in Hartford

Charlotte, NC

The Hartford is 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 (Google Cloud Platform), 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, LangGraph/Langchain and Agent Engine on Google Cloud Platform (Google Cloud Platform).
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 & Google Cloud Platform)

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 DevOps 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.

Required Qualifications:

Qualifications:

Experience: 10-12 years in Software Engineering, with at least 2+ years in GenAI and Agentic AI development
Project Delivery: Must have delivered at least one GenAI or Agentic AI project end-to-end.
Strong proficiency in Google ADK, LangGraph/Langchain, Agent Engine, and Vertex AI.
Hands-on experience with Google Cloud Platform services: Cloud Run, ECS, Vertex AI Search Engine, IAM, and networking.
Solid understanding of GenAI patterns, LLM fine-tuning, and prompt engineering.
Programming Skills: Python, Java, or similar languages for AI development.
Cloud Certifications: Google Cloud Platform Professional Machine Learning Engineer or Google Cloud Platform Professional Cloud Architect preferred.
Education: Bachelor s or Master s degree in Computer Science, AI/ML, or related field.
Soft Skills: 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 mindset

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91173025
Position Id: 8894077
Posted 22 hours ago

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Enterprise AI Architect

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