AI Architect

Amicis Global

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profile Job Location:

Hartford, CT - USA

profile Monthly Salary: Not Disclosed
Posted on: 4 hours ago
Vacancies: 1 Vacancy

Job Summary

ob Title: AI Architect
Location: Hartfort CT 06155 - Hybrid
Duration: 06 Months Extensions
Role Overview:
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 (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 LangGraph/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 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 data centers 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:
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.
Technical Expertise:
  • Strong proficiency in Google ADK LangGraph/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:
  • Python Java or similar languages for AI development.
Cloud Certifications:
  • GCP Professional Machine Learning Engineer or GCP Professional Cloud Architect preferred.
Education:
  • Bachelors or Masters 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 mindse
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ob Title: AI Architect Location: Hartfort CT 06155 - Hybrid Duration: 06 Months Extensions ...
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