At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. 

Skills and Competencies

• Possesses more than 7+ years of overall experience, with 3+ years building production-grade LLM applications, leveraging expert-level Python (async programming, type hints, automated testing, profiling, performance tuning); TypeScript experience is a plus for cross-platform agent tooling.
• Expertise in agent architectures including ReAct, Chain-of-Thought (CoT), reflection loops, tool invocation, and multi-agent coordination/graph-based workflows.
• Skilled in orchestration frameworks such as LangGraph, LangChain, AutoGPT-style systems, and emerging agent SDKs (MCP SDK, Claude Agent SDK, OpenAI Agent SDK).
• Expertise in prompt and context engineering, including reasoning optimization, token budgeting, tool calling, streaming responses, batching, retries, and rate-limit management.
• Experience designing LLM API integrations (REST, gRPC, GraphQL), ensuring idempotency, error handling, and stable performance across distributed systems.
• Hands-on experience integrating vector databases (OpenSearch, Pinecone, Weaviate, etc) into LLM-powered applications for fast, relevant context retrieval.
• Deep understanding of embedding models, especially domain embeddings (e.g., Voyage Finance-2)
• Skilled in building and optimizing RAG pipelines using semantic/hierarchical chunking, hybrid search, reranking, query rewriting, and cache-aware design to maximize contextual relevance and grounding accuracy.
• Experienced in designing agent memory systems with session/long-term rollups, TTL/eviction strategies, serialization, append-only logs, and error traceability to maintain reasoning consistency.
• Proficient in offloading large artifacts via reference patterns to improve efficiency and stability.
• Experience implementing observability for agent systems, including tracing, metrics, and evaluations, to debug grounding/safety issues and fine-tune p50/p95 latency and cost profiles.
• Background in designing safety and control mechanisms such as approval workflows, allow/deny lists for tools, sandboxing, audit logging, redaction patterns, and tooling orchestration without cache-breaking churn.
• Experience with AWS Infrastructure (esp. OpenSearch Service), containerization, IaC will be a highly desirable.
• Financial/Structured finance domain knowledge is highly desirable.

Education

• Bachelor’s, Master’s, or PhD degree in Computer Science, Information Technology, Artificial Intelligence or related field is required.

Responsibilities

• As the AI Engineer within the Asset Management technology teams, you will collaborate with global colleagues to develop, enhance and build AI first products in the Structured Finance area. In this role, you will play a key part in designing and implementing solutions that address complex challenges faced by our clients.
• Design and build deep agents and multi-agent orchestrations for complex financial data analysis and extraction, leveraging proprietary content, MCPs, and internal tools.
• Connect agents to MCPs and enterprise systems, ensuring seamless interoperability, security, and operational guardrails.
• Create and maintain contextual frameworks, tools, and workflows that keep agents grounded, efficient, and observable throughout execution.
• Establish and enforce guardrails, including policy checks, approval flows for high-risk actions, audit trails, and fallback mechanisms to ensure compliance and reliability.
• Architect end-to-end workflows that coordinate MCP tools, APIs, and data pipelines, optimizing for scalability, performance, and cost-effectiveness.
• Develop and maintain evaluation frameworks to measure agent accuracy, grounding, safety, latency, and cost; apply feedback loops to drive continuous improvement.
• Work closely with SMEs to encode domain logic, build templates, and create evaluation datasets, ensuring alignment with business objectives.
• Communicate project and task progress clearly and regularly with stakeholders, ensuring transparency, alignment, and effective project management throughout the development lifecycle.

About the team

You’ll be joining a dynamic, global cross-functional team within Moody’s Analytics Asset Management business, with focus on our Structured Finance group. Our international team collaborates across borders, bringing together diverse expertise to serve some of the world’s most prestigious companies. We specialise in developing cutting-edge software, sophisticated models, and advanced analytics that empower leading organisations to make informed investment decisions. Our Asset Management  team is committed to leveraging the latest advancements in technology, including artificial intelligence, to stay at the forefront of financial technology, consistently delivering robust and future-proof products to our clients. By working alongside talented colleagues worldwide, you’ll help our clients manage risks and seize opportunities in a constantly evolving financial landscape. Join a team celebrated for its culture of innovation, collaborative spirit, and commitment to delivering best-in-class technology solutions to an international clientele.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.