Software Engineer 2 - CoreAI at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Mar, 26

Salary

199000.0

Posted On

17 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C#, Java, Python, AI, ML, Generative AI, OpenAI GPT, Azure AI Services, Machine Learning Techniques, Full-Stack Development, Technical Delivery, Customer Engagement, Problem Solving, Cloud Infrastructure, Model Fine Tuning, Evaluations

Industry

Software Development

Description

Overview Are you looking for an opportunity to solve business-critical problems for both Fortune 500 companies and startups globally, using cutting-edge AI and ML technology? Do you enjoy tackling technical challenges and producing innovative solutions to real-world problems? Then come join Microsoft’s AI Applied Engineering team as a Software Engineer 2 - CoreAI. You will work alongside the industry’s best AI/ML engineering, data science, and product talent, engaging with some of the largest, most innovative customers and ISVs in the world. Artificial Intelligence (AI) and AI applications are explosive growth areas in technology, transforming every business in every industry. In this golden age of AI, Microsoft is committed to bringing state-of-the-art technologies to customers in a responsible, secure, and scalable manner. Innovations in AI are helping enterprises fundamentally reshape their business, and Microsoft is a key player and market leader in this space. The AI Applied Engineering team (part of Microsoft’s CoreAI organization) has the mission to co-innovate customer solutions and improve Microsoft’s AI platforms by applying them to real-world customer scenarios. We build and infuse AI technologies into end-to-end solutions for strategic enterprise customers and ISVs. Using Azure AI services like Agentic frameworks, LLMs, Speech, Search and advanced techniques like model Fine Tuning and Evaluations along with Azure’s cloud infrastructure, we deliver AI-powered APIs, models, services and solutions that solve business-critical problems. Insights from these projects directly inform and enhance Microsoft’s core AI platform, making our products more robust and scalable for all customers. We’re moving at startup speed but with the resources of one of the world’s largest companies – it's the best of both worlds. Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world. 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. Rapidly learn new concepts and technologies; apply to your solutions. 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 components that others can use. Keep teams moving through clarity and follow-through. Qualifications Required/Minimum Qualifications: Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C#, Java, 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. Preferred/Additional Qualifications: Master’s Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C#, Java, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C#, Java, or Python Experience with Generative AI, OpenAI GPT (Generative Pre-trained Transformer) models, Agentic workflows, prompt engineering, Azure AI Services, and Machine Learning techniques. Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

The role involves owning technical delivery across multiple deployments, from prototype to stable production, and building full-stack systems that deliver customer value. Additionally, the engineer will closely engage with customer teams to understand their needs and guide the adoption of solutions.