Senior Software Engineer - CoreAI

• Leads by example and mentors’ others to produce extensible and maintainable code used across the company.
• Leverages deep subject-matter expertise of cross-product features with appropriate stakeholders (e.g., project managers) to lead multiple product’s project plans, release plans, and work items.
• Own and define end-to-end data and analytics architecture for CoreAI and Foundry platforms, setting long-term technical direction for scalable, reliable, and cost-effective analytics supporting AI workloads.
• Design, build, andoptimizelarge-scale, robust data pipelines and architectures that supportCoreAI’sanalytics initiatives.
• Data Governance & Trust:followbest practices for data quality, lineage, security, and compliance.
• Collaborate with stakeholders to define trustworthy data sets and implement rigorous data validation protocols, ensuring CoreAI’s analytics are both accurate and auditable.
• Analytics Enablement: Partner with data scientists, analysts, and business leaders to translate business needs into technical solutions.
• Enable self-service analytics and empower teams by building data models, semantic layers, and tools that streamline access to trusted information.
• Cross-Functional Collaboration: Work closely with product managers, software engineers, AI researchers, and business stakeholders to align data solutions with business goals.
• Contribute actively to the infrastructure and culture needed to scale quantity and quality of data insights across CoreAI.
• Mentor other software engineers, engineers, and PMs.
• Leverage AI to accelerate workflows and amplify team productivity.

We’re looking for a Senior Software Engineer - CoreAI with a track record of cross-team partnership, effective communication with engineering, executive leadership and sales, the ability to translate product questions into targeted data science investigations, and the ability to independently identify/execute/automate insightful analysis that improves Microsoft’s developer-focused AI suite and drives product growth., Required/Minimum 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.

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., * 6+ years of experience leading software engineering and analytics projects that delivered measurable product and growth wins.
• Deep experience architecting and operating large scale data pipelines in cloud environment, preferably Azure.
• Ability to write clean, working code using core algorithms, data structures, and analyticsoriented problemsolving.
• Understanding of data governance, privacy, lineage, and security best practices, especially within highly regulated or enterprise environments.
• Communication skills to convey complex technical concepts to both technical and non-technical audiences.
• Experience using AI tools in software engineering, data science, and analytics workflows.
• Experience both prototyping and deploying data products.

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 $160,200 - $261,000 per year.