Architect and implement core features for the Task and Work Management platform.
Responsibilities
Solve complex challenges in distributed systems and help shape the vision for agentic, AI-powered work management. Ensure secure, high-quality product delivery, overseeing system architecture and code quality. Lead end-to-end delivery of complex projects with AI-powered solutions that are scalable, robust, and aligned with customer needs as well as business outcomes that support millions of customers and requests per second. Embed AI-first mindset into design, development, testing, and developer tooling to streamline SDLC delivery workflows, leveraging automation and agent orchestration. Drive engineering excellence through reusable components, accelerators, code generators, and scalable architecture. Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and security & privacy compliance requirements. Collaborate with internal stakeholders and external partner teams to define architecture, integration points, delivery plans, milestones, and risk mitigation approaches. Ensure delivery models are optimized for modern AI-native execution, including integration.
Required Qualifications
Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. These requirements include but are not limited to the following specialized security screenings: Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. OR equivalent experience. Design and implement agentic AI workflows that assist in data discovery, preparation, profiling, validation, and performance optimization. 5+ years of experience designing and implementing hyperscale distributed platforms and cloud services. Experience in high-scale service architecture, Azure technologies (Azure Kubernetes Service, Cosmos DB, Blob Storage), and modern cloud patterns. Actively adopt and promote use Large Language Models and apply Machine Learning algorithms to automate engineering tasks, schema inference, pipeline generation, metadata enrichment, documentation, and tuning recommendations. Expertise in building solutions using Azure Machine Learning, Azure OpenAI, and Azure AI Services including RAG pipelines and inference workloads (OR equivalent technologies in AWS or GCP or OCI).
Original Posting
This role is sourced from Microsoft. Apply on Microsoft careers page