AI Principal Engineer

What You’ll Do   Embed with business teams to deeply understand workflows, pain points, and opportunities for automation and optimization  Design and build AI-powered tools that improve internal productivity across functions such as finance, HR, operations, sales, and marketing  Rapidly prototype and iterate using modern AI/ML technologies (e.g., LLMs, Copilots, automation pipelines)  Deploy solutions in production, ensuring reliability, usability, and measurable impact  Bridge technical and non-technical teams, translating business problems into scalable engineering solutions  Drive end-to-end delivery from problem discovery to implementation, rollout, and adoption  Create reusable frameworks and platforms to accelerate future AI deployments across the organization  Operate globally, collaborating with distributed teams and delivering solutions that scale across regions  What We’re Looking For  Core Skills  7–10+ years of experience in software engineering, machine learning, or applied AI  Strong experience designing and deploying production-grade systems in cloud environments  Experience building and deploying AI/ML systems, ideally with LLMs or generative AI  Experience in building, orchestrating, monitoring agentic/multi-agentic AI workflows  Ability to work across the stack (APIs, data pipelines, front-end interfaces when needed)  Deep understanding of system design, distributed systems, and scalable architectures  Solid system design skills with a focus on scalability, reliability, and security  Knowledge of data engineering and analytics workflows  Experience working in global, cross-functional teams  Familiarity with governance, security, and compliance considerations for enterprise AI  Problem-Solving & Mindset  Proven ability to navigate ambiguity and move quickly in fast-paced environments  Strong product and user mindset focused on delivering practical, impactful solutions  Excellent communication skills; able to work directly with stakeholders across all levels  High ownership and bias for action, ability to support multiple workstreams in parallel  String experience in mentoring and guiding team members to make good decisions  Nice to Have  Familiarity with enterprise systems (ERP, CRM, workflow tools)  Experience across Azure AI, Microsoft Copilot, and the broader Microsoft ecosystem  Experience implementing AI tools, GenAI services, building and orchestrating agentic AI workflows in real-world business processes  Experience in forward-deployed, solutions engineering, or consulting-style roles  Background in process optimization, automation, or digital transformation initiatives c