Bachelor's degree in Computer Science, Engineering, Data Science, or related field 8+ years of hands-on software engineering experience in deploying distributed systems and cloud-native solutions 7+ years of experience operating in a consulting or advisory capacity, including structuring ambiguous problems, developing solution recommendations, and delivering against client or business objectives Experience working in client-facing engagements, including partnering directly with stakeholders to understand needs, communicate solutions, and support delivery in real-world environments Experience building and deploying AI/ML solutions, including familiarity with LLMs, prompt engineering, and model deployment patterns Experience structuring ambiguous problems and driving them to clear, actionable solutions Experience working in cloud environments (e.g., Azure, AWS, GCP) Proficiency in modern development frameworks, APIs, and data integration approaches Advanced user capability on CodeX, Claude, etc. and other AI productivity tools Proven ability to lead client engagements, including discovery, solution design, and delivery Proven solid stakeholder management skills, with the ability to influence both technical and executive audiences Proven excellent communication and storytelling skills, with the ability to adapt messaging to different audiences
