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.
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.
Similar Jobs
.png)
Fintech • Information Technology • Payments • Productivity • Software • Travel • Automation
Build production LLM-powered, agentic loyalty product experiences across frontend, backend, and AI orchestration. Implement tool-calling, structured outputs, guardrails, evals, monitoring, and personalization using loyalty and trip data. Collaborate cross-functionally and own code quality, observability, testing, and operational support for customer-facing features.
Top Skills:
Agentic SystemsAPIsAsync WorkflowsCachingDistributed SystemsEval PipelinesJavaLlmsNode.jsObservabilityPythonRagStreaming ChatTool CallingTypescript
Cloud • Information Technology • Machine Learning
Design and build production-grade full-stack, AI-enabled applications. Develop React/Next.js frontends, backend services on Kubernetes, integrate LLM/AI features, connect data platforms, implement CI/CD, automated testing, observability, and ensure secure, high-performance APIs and services.
Top Skills:
Ai/MlAutomated TestingC#Ci/CdDockerGoGrpcHelmJavaJavaScriptKafkaKubernetesLlmNext.JsObservabilityPythonReactRestSparkTypescript
Cybersecurity • Industrial
Ship full‑stack features end-to-end using AI coding agents, drive architecture and technical direction, collaborate with Product and Design, write scalable maintainable code, mentor engineers, document work, and translate industrial automation customer problems into engineering tasks.
Top Skills:
C#Ci/CdClaude CodeCopilotCursorGoTypescript
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
