Senior Solutions Architect, Genai

AIG Group

New Jersey, US
Base: $160,000-$200,000; bonus: eligible per incen...
Hybrid
Extensive experience in large-scale application architecture
Proficiency in secure ai integration with agile methodologies
Expertise in hybrid environments integrating on-prem and aws cloud
This role involves shaping the strategy and development of AIG's next-generation AI-driven solutions to transform how the company delivers innovative business applications

Job Summary

  • This role involves shaping the strategy and development of AIG's next-generation AI-driven solutions to transform how the company delivers innovative business applications.
  • The position requires leading the architecture and roadmap for multiple large or mid-sized business applications while ensuring alignment with GenAI strategy and enterprise standards.
  • AIG offers a comprehensive Total Rewards Program focused on health, wellbeing, financial security, and professional development for its global team members.

Matching Summary

This role involves shaping the strategy and development of AIG's next-generation AI-driven solutions to transform how the company delivers innovative business applications.

Salary

Base: $160,000-$200,000; Bonus: Eligible per incentive plan; Benefits: Comprehensive Total Rewards Program including health and financial security

Skills & Requirements

Must-have

  • Extensive experience in large-scale application architecture
  • Proficiency in secure AI integration with Agile methodologies
  • Expertise in hybrid environments integrating on-prem and AWS cloud
  • Knowledge of enterprise EA/ITIL frameworks and ethical AI standards
  • Experience managing technical solution architecture across geographies

Nice-to-have

  • Fostering a culture of experimentation with emerging technologies
  • Experience implementing AI in highly regulated industries
  • Knowledge of specific insurance functions like claims and reinsurance
  • Passion for leveraging predictive analytics and DevSecOps
  • Successful implementation of AI/ML models within large enterprises

Key Requirements

  • Extensive experience leading architecture design and roadmaps
  • Advanced knowledge of SaaS, IaaS, PaaS, APIs, and Microservices
  • Proven ability to guide engineering teams and senior leadership
  • Familiarity with business ecosystems and data modeling usage

Work Rights

Not specified

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