Software Engineer II - Finance Data & Experiences (FD&E) AI jobs in United States
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Microsoft · 1 day ago

Software Engineer II - Finance Data & Experiences (FD&E) AI

Microsoft is looking for an energetic engineer passionate about Artificial Intelligence and data to help drive the next generation of intelligent finance systems. The role involves designing and implementing AI capabilities, building applications for finance, and collaborating with product managers to clarify requirements and improve team velocity.

Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Design, implement, test, and operate shared AI capabilities, including prompt orchestration and versioning, retrieval augmented generation (RAG) adapters, secure tool and skill catalogs, model routing, Responsible AI guardrails, evaluation, and telemetry
Build copilots, agents, and automation for scenarios such as financial planning and analysis, close and consolidation, revenue and margin analysis, spend governance, and compliance and controls. Integrate with Microsoft Fabric OneLake, Azure Data Explorer, SQL, Spark, semantic models, and vector search
Prototype and evaluate emerging capabilities such as tool use, function calling, long context strategies, structured reasoning, and multi agent patterns. Run small experiments, document findings, and graduate successful approaches into platform features and production experiences.Integrate and Evaluate ModelsUse Azure OpenAI Service and Azure AI Services to integrate models. Build offline evaluation pipelines and golden sets. Measure groundedness, accuracy, safety, latency, and cost. Run experiments to compare prompts, tools, and model variants
Write unit, integration, load, and prompt flow tests. Implement monitoring, logging, alerting, and tracing. Participate in on call, incident response, and post incident reviews. Help meet service level objectives and service level indicators
Apply secrets management, role-based access, encryption in transit and at rest, and records retention. Contribute to risk assessment, red teaming, and content filtering to ensure safe and compliant AI
Work with product managers and partners to clarify requirements. Engineering leads author user stories and technical designs. Break down features, estimate work, and communicate progress, risks, and tradeoffs clearly
Leverage GitHub Copilot for boilerplate code, tests, data transformations, and quick prototypes. Share effective prompts and patterns to improve team velocity and learning

Qualification

AI applications developmentCloud services (Azure)Machine learningLarge language modelsSQLPythonSparkData processing systemsAgile developmentAnalytical skillsFinance domain knowledgeCollaboration

Required

Bachelor's degree in computer science or related technical field AND 2+ years technical engineering experience with coding in one or more languages including, but not limited to SQL, SSAS, Python, Spark, Scale, C#, C++, and JavaScript OR equivalent experience
1+ years building AI features or applications using machine learning or large language models. Examples include chat assistants, agents, retrieval augmented generation, classification or summarization, or prompt and tool-based workflows
2+ years building cloud services on Azure, Amazon Web Services, Google Cloud Platform, or an equivalent environment

Preferred

4+ years of software development experience with large scale data processing systems or online services
Experience with Azure services or another major cloud. Examples include Azure Functions, Kubernetes, Azure Machine Learning, Azure OpenAI Service, Azure AI Studio, Azure Data Explorer, Spark or Databricks, and Microsoft Fabric OneLake
Familiarity with AI and machine learning concepts, embeddings and vector search, prompt design and prompt evaluation, and metrics for groundedness, quality, safety, and latency
Experience taking research style prototypes to production, including experiment design, ablation studies, and result reporting
Understanding of version control with Git and continuous integration and continuous delivery practices
Strong analytical skills and a structured approach to system and service design
Ability to communicate technical details clearly and collaborate across teams
Finance domain knowledge is a plus
Experience with Agile and iterative development practices

Company

Microsoft

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Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.

H1B Sponsorship

Microsoft has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9192)
2024 (9343)
2023 (7677)
2022 (11403)
2021 (7210)
2020 (7852)

Funding

Current Stage
Public Company
Total Funding
$1M
Key Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M

Leadership Team

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Satya Nadella
Chairman and CEO
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Vukani Mngxati
Chief Executive Officer - Microsft South Africa
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Company data provided by crunchbase