Senior Software Engineer - Forward Deployment Engineer at CoreAI lead complex deployments of frontier models and Artificial Intelligence (AI) Foundry in production. You will embed with customers where GenAI appliction performance matters, delivery is urgent, and ambiguity is the default. You will use this to map their problems, structure delivery, and ship fast. You will scope, sequence, and build full-stack solutions that create measurable value. You will also drive clarity across internal and external teams. You will identify reusable patterns and share field signals that influences the roadmap.
Success in this role means owning the delivery state across workstreams. You will hold the bar on quality and pace and help Microsoft learn through execution.
Microsoft Culture
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
Own technical delivery across multiple deployments from first prototype to stable production
Build full-stack systems that deliver customer value and sharpen how we learn
Embed closely with customer teams, understand their needs, and guide adoption of what you build
Scope work, sequence delivery, and remove blockers early
Make trade-offs between scope, speed, and quality; adjust plans to protect delivery
Contribute directly to the code when progress or clarity depends on it
Codify working patterns into tools, playbooks, or building blocks that others can use
Share field feedback that helps Product to understand where the agents, models and tools succeed and where they can improve
Keep teams moving through clarity and follow-through
MS Culture & Values: Embody our Culture (https://www.microsoft.com/en-us/about/corporate-values) and Values (https://careers.microsoft.com/us/en/culture) .
Qualifications
Required Qualification:
Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
4+ years of experience in engineering, solution architecture, customer engineering or related roles in the AI, Machine Learning (ML), cloud or enterprise software space.
Deep understanding of large language models (LLMs), agentic AI frameworks and modern AI infrastructure.
Deep familiarity with LLM models, cloud platforms (Azure preferred) API security deployment best practices and data architectures.
Experience working with enterprises or digital native customers to deploy complex scalable and responsible AI solutions.
Demonstrated ability to operate in fast-paced ambiguous and cross functional environments.
Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
5+ years of engineering or technical deployment experience that includes customer-facing work
Exceptional stakeholder management and communication skills
Have scoped and delivered complex systems in fast-moving or ambiguous environments
Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks
Have built or deployed systems powered by LLMs or generative models and understand how model behavior affects product experience
Simplify complexity and make fast, sound decisions under pressure
Communicate clearly with engineers, product teams, and customer stakeholders
Spot risks early and adjust without slowing down
Model calm and judgment when the stakes are high
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
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Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .