Required/Minimum Qualifications
- Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
OR equivalent experience.
- years experienceworking on technical projects in Data & AI in an enterprise cloud environment.
Other Requirements:
Citizenship & Citizenship Verification: This position requires verification of U.S citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local United States government agency customers and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizenship will be verified via a valid passport.
Citizenship & Citizenship Verification: This role will require access to information that is controlled for export under U.S. export control regulations, potentially under the International Traffic in Arms Regulations or the Export Administration Regulations. As a condition of employment, the successful candidate will be required to provide proof of citizenship, for assessment of eligibility to access the export-controlled information. To meet this legal requirement, citizenship will be verified via a valid passport.
Cloud Screening:
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications
- Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 8+years experiencein cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
- Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 6+years experiencein cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting
- OR equivalent experience.
- yearsexperienceworking in a customer-facing role (e.g.,internaland/or external).
- years experienceworking on technical projects.
- Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications).
- 4+ Years of experience in designing, prototyping, and operationalizing AI/ML solutions for enterprise and/or large U.S. Public Sector customer environments, including successful implementations of computer vision, natural language processing, and predictive analytics systems.
- 4+ Years experience in proof of concept (POC) development, solution design, and production implementation of AI/ML solutions, withdemonstratedability to bridge the gap between research prototypes and scalable, resilient production systems.
- 4+ Years working withMLOpsworkflows,MLFlow, and deep learning frameworks such asPyTorchand TensorFlow in cloud environments, includingexpertisein model versioning, automated testing, continuous integration/deployment of ML models, and performance monitoring at scale.
- 2+ Years of experience briefing executive-level customers with a proventrack recordof creating impactful presentations for senior leadership and successfully persuading, educating, or informing audiences while navigating complex business and technical environments, resulting in significant contract wins or solution adoptions.
- 2+ Years of experience with cloud-native architectures on major platforms (Azure, AWS, GCP), particularly in designing and implementing secure, compliant solutions for regulated industries or government agencies.
- 2+ Years of hands-on experience translating business requirements into scalable technical solutions, including cost estimation, resource planning, and implementation roadmaps for AI/ML initiatives.
- 1+ Years of experience in deploying and fine-tuning generative AI and large language models (LLMs), implementing efficient prompt engineering practices, orchestrating multi-model inference pipelines, and developing retrieval-augmented generation (RAG) solutions for enterprise knowledge systems.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Microsoft will accept applications for the role until April 7th, 2025.