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AI Solution Engineering Lead
2 months ago
Skills and Capabilities
Have deep expertise in data science techniques and technologiesStrong understanding of the software development lifecycle and engineering best practicesExperience architecting, building and deploying AI solutionsExperience architecting AI solutions that use well-managed core APIs and SDKs to access LLMs and foundational modelsSolutioning and engineering skills in one of the primary Cloud hyper-scalers with a preference for AWS or Azure skillsCloud engineering skills including security and disaster recovery, storage, networking, virtualization, containerization, orchestration, Linux, web services, APIs, and DevOpsWorking understanding of the primary services leveraged in building and deploying, at scale, Cloud-native applications and platformsWork with clients in a consultative wayDefine AI solutions with product managementThink innovatively and design and deliver client oriented digital AI solutionsLead conversations on digital AI solutions with CIOs/CTOs and their staffsBe the trusted advisor to clients on the technical details of our AI solutionsProven influencing and collaboration skillsHave an innovative and disruptive mindset, constantly looking forwardRelentlessly pursues excellenceStructured leadership communication and presentation skills with strong executive presenceExperience12+ yrs of proven track record in leading AI engineering teamsAt least 8 years of experience programming with Python, Go, Scala, or C++Solution architecture (features, functionalities, upstream & downstream impact on the AI workflow)Technical architecture (data flow, technologies, how they interact and integrate, technology selection, scalability, security)Strong expertise in AWS or AzureShould have led 20+ team of multi-disciplinary skills including solution architects, data scientists, technical architects, and developersDemonstrated experience in working with both senior business and technology stakeholdersFamiliarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users.