About the role
Apply generative AI and ML techniques to deliver intelligent, personalized experiences that help customers understand and accelerate their AI transformation. Act as an embedded engineer for government cloud environments (GCC‑High / DoD), executing onboarding, deployments, troubleshooting, and operational activities with the same ownership and rigor as Core Services full‑time engineers. Build, manage, and maintain Azure infrastructure across environments, including compute, networking, storage, identity, certificates, and service dependencies, while adapting engineering practices to security‑ and compliance‑constrained environments. Collaborate across disciplines (product, platform, infrastructure, security, monitoring, compliance) to define technical
requirements, design robust APIs, and unblock cross‑service dependencies—particularly in government cloud scenarios. Drive engineering excellence and service reliability through strong design, testing, observability, proactive monitoring, and deep diagnostics using logs, metrics, telemetry, and Kusto (KQL). Contribute to team culture by mentoring peers, sharing knowledge, and fostering an inclusive, growth-oriented environment. Continuously learn and adapt to new technologies, patterns, and best practices in AI, distributed systems, and cloud-native development. 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, C++, C#, Java, JavaScript, or Python OR equivalent experience. 3+ years of hands-on software design and coding experience Experience applying AI/ML techniques or working with generative AI systems in production environments. Familiarity with modern version control systems like Git and agile development methodologies. Hands‑on experience with Azure cloud services, including compute, networking, storage, identity, and resource governance. Experience designing and maintaining infrastructure‑as‑code (e.g., ARM/Bicep or equivalent) and CI/CD pipelines, including YAML‑based build and release definitions, deployment automation, and troubleshooting deployment failures. Experience supporting live‑site operations, including incident triage, root cause analysis, and driving issues to resolution. These
