Senior AI Software Engineer

Posted 3 Days Ago
New York, NY, USA
In-Office
175K-220K Annually
Senior level
Insurance • Financial Services
The Role
Build production-grade AI applications by translating business workflows into scalable, governed systems. Design multi-step agent-based AI workflows, integrate LLMs with enterprise data and systems, use centralized platform services (identity, orchestration, logging), apply governance and secure coding, and deliver auditable, enterprise-scale solutions quickly.
Summary Generated by Built In

Position Summary

Assured Guaranty is seeking a Senior AI Software Engineer to build production-grade AI applications using our emerging agentic AI framework. This role focuses on translating business workflows into scalable, governed software that integrates AI agents, enterprise data, and existing platforms. This is a builder role—not research or experimentation. The expectation is to deliver working systems quickly, safely, and at enterprise scale.

Job Responsibilities

  • Working directly with business teams to translate workflows into production AI applications
  • Building AI-powered applications embedded directly in business workflows (document processing, analysis, decision support)
  • Designing multi-step AI workflows where agents reason, take actions, call tools, and iterate toward outcomes
  • Integrating AI capabilities with enterprise systems (data platforms, APIs, internal tools)
  • Using centralized platform services (orchestration, identity, logging, monitoring) to deliver scalable solutions
  • Applying governance controls (auditability, guardrails, data protection) by design
  • Leveraging AI-assisted development tools (e.g., Copilot, Claude Code) to accelerate delivery

Candidate Qualifications

  • Bachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience
  • 5+ years of software engineering experience, or equivalent practical experience
  • Experience building production LLM-based applications (prompting, integration, evaluation)
  • Exposure to agent-based systems or multi-step AI workflows
  • Understanding of human-in-the-loop and validation patterns
  • Strong software development experience (Python, TypeScript, or similar)
  • Experience building APIs, services, and distributed systems
  • Experience integrating with structured and unstructured data
  • Strong quantitative and analytical skills to support credit and investment decisions
  • Ability to build within a centralized AI platform, leveraging shared services (identity, orchestration, logging, guardrails) rather than creating isolated solutions
  • Familiarity with cloud-native development (AWS preferred)
  • Understanding of secure coding practices and enterprise controls
  • Ability to build systems that are auditable, traceable, and compliant

      Compensation

Annual base salary for the position is expected to be from $175,000 per year to $220,000 per year. The actual salary will depend on various factors, including but not limited to a candidate’s experience and credentials, salary expectations of applicable candidates, and other applicable market conditions. This position also provides applicable employee benefits, as well as eligibility for an annual discretionary bonus and long-term incentive awards.

Skills Required

  • Bachelor's degree in computer science, engineering, or related field, or equivalent practical experience
  • 5+ years of software engineering experience, or equivalent practical experience
  • Experience building production LLM-based applications (prompting, integration, evaluation)
  • Exposure to agent-based systems or multi-step AI workflows
  • Understanding of human-in-the-loop and validation patterns
  • Strong software development experience (Python, TypeScript, or similar)
  • Experience building APIs, services, and distributed systems
  • Experience integrating with structured and unstructured data
  • Strong quantitative and analytical skills to support credit and investment decisions
  • Ability to build within a centralized AI platform, leveraging shared services (identity, orchestration, logging, guardrails)
  • Familiarity with cloud-native development (AWS)
  • Understanding of secure coding practices and enterprise controls
  • Ability to build systems that are auditable, traceable, and compliant
  • Experience using AI-assisted development tools (e.g., Copilot, Claude Code)
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