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
#CareerBuilder #Monster #Dice #Indeed #LinkedIn
ob Title: AI Architect Location: Hartfort CT 06155 - Hybrid Duration: 06 Months Extensions ...
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
#CareerBuilder #Monster #Dice #Indeed #LinkedIn
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