Senior Software Engineer - Forward Deployment Engineer
Microsoft
Senior Software Engineer - Forward Deployment Engineer
Job Description
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 CultureMicrosoft’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.
Locations
- Redmond, Washington, United States, Redmond, Washington, United States
- San Francisco, California, United States, San Francisco, California, United States
- Boston, Massachusetts, United States, Boston, Massachusetts, United States
- New York, New York, United States, New York, New York, United States
Salary
Estimated Salary Rangehigh confidence
180,000 - 260,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Required Qualifications
- 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. (degree)
- OR equivalent experience. (degree)
- 4+ years of experience in engineering, solution architecture, customer engineering or related roles in the AI, Machine Learning (ML), cloud or enterprise software space. (degree)
- Deep understanding of large language models (LLMs), agentic AI frameworks and modern AI infrastructure. (degree)
- Deep familiarity with LLM models, cloud platforms (Azure preferred) API security deployment best practices and data architectures. (degree)
- Experience working with enterprises or digital native customers to deploy complex scalable and responsible AI solutions. (degree)
- Demonstrated ability to operate in fast-paced ambiguous and cross functional environments. (degree)
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. (degree)
- 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. (degree)
- OR equivalent experience. (degree)
- 5+ years of engineering or technical deployment experience that includes customer-facing work (degree)
- Exceptional stakeholder management and communication skills (degree)
- Have scoped and delivered complex systems in fast-moving or ambiguous environments (degree)
- Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks (degree)
- Have built or deployed systems powered by LLMs or generative models and understand how model behavior affects product experience (degree)
- Simplify complexity and make fast, sound decisions under pressure (degree)
- Communicate clearly with engineers, product teams, and customer stakeholders (degree)
- Spot risks early and adjust without slowing down (degree)
- Model calm and judgment when the stakes are high (degree)
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. (degree)
- OR equivalent experience. (degree)
- 5+ years of engineering or technical deployment experience that includes customer-facing work (degree)
- Exceptional stakeholder management and communication skills (degree)
- Have scoped and delivered complex systems in fast-moving or ambiguous environments (degree)
- Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks (degree)
- Have built or deployed systems powered by LLMs or generative models and understand how model behavior affects product experience (degree)
- Simplify complexity and make fast, sound decisions under pressure (degree)
- Communicate clearly with engineers, product teams, and customer stakeholders (degree)
- Spot risks early and adjust without slowing down (degree)
- Model calm and judgment when the stakes are high (degree)
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 and Values.
Travel Requirements
3 days / week in-office
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Senior Software Engineer - Forward Deployment Engineer
Microsoft
Senior Software Engineer - Forward Deployment Engineer
Job Description
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 CultureMicrosoft’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.
Locations
- Redmond, Washington, United States, Redmond, Washington, United States
- San Francisco, California, United States, San Francisco, California, United States
- Boston, Massachusetts, United States, Boston, Massachusetts, United States
- New York, New York, United States, New York, New York, United States
Salary
Estimated Salary Rangehigh confidence
180,000 - 260,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Required Qualifications
- 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. (degree)
- OR equivalent experience. (degree)
- 4+ years of experience in engineering, solution architecture, customer engineering or related roles in the AI, Machine Learning (ML), cloud or enterprise software space. (degree)
- Deep understanding of large language models (LLMs), agentic AI frameworks and modern AI infrastructure. (degree)
- Deep familiarity with LLM models, cloud platforms (Azure preferred) API security deployment best practices and data architectures. (degree)
- Experience working with enterprises or digital native customers to deploy complex scalable and responsible AI solutions. (degree)
- Demonstrated ability to operate in fast-paced ambiguous and cross functional environments. (degree)
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. (degree)
- 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. (degree)
- OR equivalent experience. (degree)
- 5+ years of engineering or technical deployment experience that includes customer-facing work (degree)
- Exceptional stakeholder management and communication skills (degree)
- Have scoped and delivered complex systems in fast-moving or ambiguous environments (degree)
- Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks (degree)
- Have built or deployed systems powered by LLMs or generative models and understand how model behavior affects product experience (degree)
- Simplify complexity and make fast, sound decisions under pressure (degree)
- Communicate clearly with engineers, product teams, and customer stakeholders (degree)
- Spot risks early and adjust without slowing down (degree)
- Model calm and judgment when the stakes are high (degree)
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. (degree)
- OR equivalent experience. (degree)
- 5+ years of engineering or technical deployment experience that includes customer-facing work (degree)
- Exceptional stakeholder management and communication skills (degree)
- Have scoped and delivered complex systems in fast-moving or ambiguous environments (degree)
- Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks (degree)
- Have built or deployed systems powered by LLMs or generative models and understand how model behavior affects product experience (degree)
- Simplify complexity and make fast, sound decisions under pressure (degree)
- Communicate clearly with engineers, product teams, and customer stakeholders (degree)
- Spot risks early and adjust without slowing down (degree)
- Model calm and judgment when the stakes are high (degree)
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 and Values.
Travel Requirements
3 days / week in-office
Answer 10 quick questions to check your fit for Senior Software Engineer - Forward Deployment Engineer @ Microsoft.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs