Microsoft · 20 hours ago
Senior Software Engineer (AI/ML)
United States
Full-time
Remote
Mid, Senior Level
$120K/yr - $235K/yr
4+ years expMicrosoft is dedicated to revolutionizing the management and optimization of global fleet resources. As a Senior Software Engineer (AI/ML), you will support the onboarding of new hardware into the Azure cloud and drive the integration of intelligence into tools, processes, and resources across the organization.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Collaborates with stakeholders to identify user requirements, create design documents, and develop scalable systems and services. Works with product managers, engineers, and infrastructure teams to deliver impactful solutions
Utilizes strong software engineering fundamentals, including clean architecture, modular design, thorough testing, and peer reviews for reliable codebases. Develops and optimizes code to enhance performance, maintainability, effectiveness, and return on investment (ROI)
Develops and deploys scalable Artificial Intelligence (AI)-driven tools, algorithms, and machine learning (ML) models to enhance efficiency, reliability, and productivity
Collaborates with data scientists and product teams to align solutions with business objectives and deliver measurable value. Optimizes AI/ML models for performance and ensures seamless production integration
Breaks down larger features into work items and supports planning, ensuring alignment with business priorities. Estimates engineering effort and tracks progress to ensure that all tasks are completed efficiently and effectively
Serves as the Designated Responsible Individual (DRI) for monitoring, troubleshooting, and restoring production systems during on-call rotations. Leads live-site incident response, conducts root cause analysis, and implements long-term improvements to enhance system reliability and operational readiness
Demonstrates a commitment to continuous learning, staying up to date with evolving technologies and best practices. Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns to improve product availability, reliability, efficiency, observability, and performance. Actively shares knowledge and contributes to a team culture that values technical excellence and growth
Follows organizational policies to ensure security, privacy, safety, and accessibility standards. Demonstrates ownership and promotes a learning-oriented, inclusive team environment. Practices secure coding, data governance, and respectful collaboration within a mission-driven workplace
Qualification
Required
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
1+ years of experience in designing, deploying, and scaling AI/ML solutions on cloud platforms (Azure, AWS, GCP)
1+ years of experience in robust production operations, reliability engineering, and lifecycle management of AI/ML systems using MLOps/LLMOps best practices
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Preferred
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 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 equivalent experience
Proven experience in designing and implementing end-to-end AI/ML solutions, integrating them seamlessly into both new and existing products and services across the full technology stack
Demonstrated expertise in compliance requirements, data governance, security best practices, and responsible AI principles
Strong foundation in core machine learning principles and algorithms, along with knowledge of deep learning architectures, natural language processing (NLP), and generative AI techniques
Experience with frameworks and libraries for ML (PyTorch, TensorFlow, Scikit-learn, Keras) and multi-agent AI applications (AutoGen, LangChain)
Experience with containers (Docker) and orchestration tools like Kubernetes
Experience in handling large datasets and working with data processing frameworks (Apache Spark, Hadoop)
Excellent computer science fundamentals in algorithmic design, data structures, and complexity analysis
Experience mentoring engineers and data scientists, providing technical guidance and code reviews
Excellent cross-functional and interpersonal skills, with the ability to articulate solutions clearly and effectively
Ability to balance competing demands and adapt to changing priorities
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
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
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