Microsoft · 2 weeks ago
Software Applied Scientist
Denmark, IA
Full-time
Hybrid
Entry, Mid LevelMicrosoft is a place where engineers and innovators collaborate to shape the future of technology. They are seeking an Applied Scientist to lead the development of intelligent capabilities embedded in Microsoft Dynamics 365 Business Central, focusing on AI-driven solutions to enhance business operations.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Deliver high-impact, product-embedded AI solutions within Dynamics 365 Business Central by driving focused experimentation and applied data science initiatives that result in measurable improvements to user productivity, correctness, and business outcomes
Design, implement, and evolve advanced model adaptation and fine-tuning pipelines—including techniques such as Reinforcement Learning from Human Feedback (RLHF)—to align AI and agent behavior with real-world business workflows, user intent, and enterprise constraints
Own complex, end-to-end engineering and applied science initiatives, combining deep technical execution with close collaboration across development, product, and partner teams to influence feature design, quality bars, and delivery priorities
Build strong alignment and trust with cross-functional stakeholders through clear, actionable communication, shared problem-solving, and a pragmatic, engineering-first approach to AI integration
Develop and maintain robust measurement, evaluation, and experimentation frameworks tailored to AI-driven enterprise systems, enabling rapid iteration while ensuring reliability, performance, and compliance at scale
Actively mentor and support peers by sharing best practices, reviewing technical designs, and contributing to a collaborative, high-performance engineering culture within the Business Central organization
Apply AI-driven automation and tooling to streamline engineering workflows, accelerate development velocity, and improve overall team effectiveness—both within Business Central and across the broader ecosystem
Qualification
Required
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Occasional travel (0% to 25%) may be required as part of this role
Preferred
Strong expertise in natural language processing and large language models
Hands-on experience in model evaluation, fine-tuning, and optimization
Experience with instruction tuning, reinforcement learning from human feedback (RLHF), prompt and context engineering, and tool-augmented generation
Comfortable working in an experimentation-driven engineering environment, using both offline and online evaluation methods to iterate quickly and improve real-world outcomes
Solid understanding of enterprise application constraints—such as correctness, compliance, performance, and trust
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
Founded in 1975
10001+ employees
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 CompanyTotal Funding
$1MKey Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M
Leadership Team
Satya Nadella
Chairman and CEO
Vukani Mngxati
Chief Executive Officer - Microsft South Africa
Recent News
2026-01-16
Morningstar.com
2026-01-16
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