AVP Engineering, Products & Services (Generative AI)

A Fortune Top 50 financial services company is seeking a highly motivated Assistant Vice President (AVP) of Engineering, Products & Services (Generative AI) for a great opportunity with their team in Vienna, crease your chances of reaching the interview stage by reading the complete job description and applying promptly.***This is a Hybrid opportunity requiring the qualified professional to work onsite at least 3 days a week.***Responsibilities:Define and lead the strategic vision for Cognitive AI, Generative AI, Agentic AI, and Machine Learning capabilities, ensuring alignment with the enterprise goals and transformation initiativesProvide executive oversight for the AI Center for Enablement, ensuring its services, platforms, and talent strategy drive enterprise-wide AI adoption, innovation, and measurable business valueOversee the development and enterprise-scale implementation of AI platforms, including the AI Foundational Platform, in collaboration with Enterprise Architecture, Cloud Engineering, and external technology partnersPartners with senior leaders across business and IT to identify high-impact AI use cases, shape technology roadmaps, and accelerate the transition of AI solutions from incubation to productionChampion the establishment of governance frameworks that ensure the ethical, secure, and explainable use of AI technologies, working closely with Model Risk Management, Cybersecurity, and the AI Working GroupLead the evaluation and infusion of emerging technologies in Cognitive Sciences, LLMs, NLP, Generative AI and Agentic AI through structured research, prototyping, and enterprise roadmap developmentBuild and maintain strategic partnerships with leading AI vendors, cloud providers, and consulting firms to accelerate capability development and deliver tangible outcomes for members and internal stakeholders.Accelerate use of AI capabilities and toolset across the enterprise delivering productivity and driving process efficiencies for the workforceDeliver the AI Literacy program across all organization levels in collaboration with industry partners and the Talent Development teamDevelop and scale high-performing AI Engineering and Operations teams, fostering a culture of continuous learning, technical excellence, and cross-functional collaborationEnable federated AI development by supporting communities of practice and democratizing access to AI tools and services, driving process efficiencies and innovation across the organizationDrive execution excellence by overseeing project planning, resource allocation, and budget management for AI initiativesQualifications:15+ years of progressive experience in AI, Data Science and Advanced Analytics including leadership of enterprise-scale Generative and Agentic AI initiatives in complex, multi-functional environmentsBachelor's Degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related technical fieldProven track record in designing, deploying, and scaling AI solutions, including LLMs, Agentic AI, and prompt engineering-within cloud-native, production-grade environmentsDeep expertise in AI platforms and technologies, including Azure OpenAI, Cognitive Services, and operationalizing AI infrastructure such as Model Garden and Control PlaneDemonstrated ability to align AI strategy with enterprise transformation goals, delivering measurable business value through innovation, automation, and productivity accelerationStrong background in cloud architecture, system design, and building scalable, secure, and resilient AI platforms in service-oriented environmentsExperience in delivering AI augmented capabilities to generate productivity and process efficiencies (GitHub, CoPilot, IBM Watsonx, or similar)Demonstrated ability to drive an AI Literacy program covering stakeholders at all levels in the organization by tailoring and evolving the curriculum relevantlyExperience leading high-performing AI Engineering and Operations teams, fostering a culture of continuous learning, agile delivery, and technical excellenceExtensive experience with AIOps practices, including MLOps, building and managing end-to-end AI pipelines, etc.Practical experience applying Scaled Agile Framework (SAFe) and Agile delivery principles to manage complex AI programs, budgets, and cross-functional executionExceptional communication and executive presentation skillsDesired Skills:Master's or Ph.D. in computer science, Data Science, Data Analytics, Statistics, Mathematics or related technical fieldKnowledge of the client's instructions, standards, and proceduresExpert knowledge of banking/financial industry trends, products, and servicesExpert knowledge of the client's products, services, programs, policies and proceduresExperience leading an AI Center for EnablementExperience building and supporting Enterprise grade APIs

Created: 2025-10-01