Jobs via Dice
AVP Cognitive Engineering (Generative AI)
Jobs via Dice, Vienna, Virginia, United States, 22184
Overview
Title: AVP Cognitive Engineering (Generative AI). Location: Vienna, VA, hybrid. Duration: Direct Placement. Work Requirements: Holders or Authorized to Work in the U.S. Join to apply for the AVP Cognitive Engineering (Generative AI) role at Jobs via Dice. Dice is the leading career destination for tech experts at every stage of their careers. Our client, INSPYR Solutions, is seeking the following. Apply via Dice today! Job Summary:
The Assistant Vice President (AVP) of Cognitive Engineering is a senior leader within the Enterprise Data and Information Management (EDIM) organization, responsible for shaping and executing strategy for data science, advanced analytics, and applied artificial intelligence (AI). This key role leads the AI Center for Enablement, driving innovation, operational excellence, and the development of scalable AI capabilities. The AVP fosters a culture of AI-as-a-service, enabling business units to harness AI technologies effectively and realize measurable value from AI investments. The AVP collaborates with business stakeholders, technology partners, and cross-functional teams to design and implement an enterprise AI platform aligned with strategic goals and governance standards. The role requires expertise in cognitive technologies including Machine Learning, Natural Language Processing, Generative AI, and Agentic AI, and involves identifying emerging trends, guiding technology adoption, and transitioning AI solutions from incubation to enterprise-wide deployment. It also serves as a catalyst for innovation, talent development, and cross-functional collaboration across the organization. Responsibilities
Define and lead the strategic vision for Cognitive AI, Generative AI, Agentic AI, and Machine Learning capabilities, ensuring alignment with enterprise goals and transformation initiatives. Provide executive oversight for the AI Center for Enablement, ensuring services, platforms, and talent strategy drive enterprise-wide AI adoption, innovation, and measurable business value. Oversee the development and enterprise-scale implementation of AI platforms, including the AI Foundational Platform, in collaboration with Enterprise Architecture, Cloud Engineering, and external technology partners. Partner 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 production. Champion governance frameworks for ethical, secure, and explainable use of AI technologies, working with Model Risk Management, Cybersecurity, and the AI Working Group. Lead evaluation and infusion of emerging technologies in Cognitive Sciences, LLMs, NLP, Generative AI, and Agentic AI through research, prototyping, and enterprise roadmap development. Build 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 across the enterprise to deliver productivity and drive process efficiencies for the workforce. Deliver the AI Literacy program across all organizational levels in collaboration with industry partners and the Talent Development team. Develop and scale high-performing AI Engineering and Operations teams, fostering a culture of continuous learning, technical excellence, and cross-functional collaboration. Establish enterprise-level success metrics for AI initiatives, ensuring measurable impact, high adoption, and alignment with EDIM and enterprise architecture standards. Enable federated AI development by supporting communities of practice and democratizing access to AI tools and services, driving process efficiencies and innovation. Drive execution excellence by overseeing project planning, resource allocation, and budget management for AI initiatives. Apply Scaled Agile principles to ensure timely delivery, iterative value realization, and alignment with enterprise priorities. Qualifications and Education Requirements
Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related technical field – advanced degree preferred. 15+ years of progressive experience in AI, Data Science and Advanced Analytics including leadership of enterprise-scale Generative and Agentic AI initiatives. Proven track record in designing, deploying, and scaling AI solutions including LLMs, Agentic AI, and prompt engineering within cloud-native, production-grade environments. Deep expertise in AI platforms and technologies, including Azure OpenAI, Cognitive Services, and operationalizing AI infrastructure (e.g., Model Garden and Control Plane). Demonstrated ability to align AI strategy with enterprise transformation goals, delivering measurable business value through innovation, automation, and productivity acceleration. Strong background in cloud architecture, system design, and building scalable, secure, and resilient AI platforms in service-oriented environments. Experience 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. Experience leading high-performing AI Engineering and Operations teams, fostering a culture of continuous learning, agile delivery, and technical excellence. Extensive experience with AIOps practices including MLOps, building and managing end-to-end AI pipelines, observability, model monitoring, incident management, and automated remediation for reliability and compliance. Practical experience applying SAFe and Agile delivery principles to manage complex AI programs, budgets, and cross-functional execution. Exceptional communication and executive presentation skills, able to translate complex AI concepts into strategic insights for technical and non-technical stakeholders. Desired Qualifications and Education
Master’s or Ph.D. in Computer Science, Data Science, Data Analytics, Statistics, Mathematics, or related technical field. Knowledge of instructions, standards, and procedures. Expert knowledge of banking/financial industry trends, products, and services. Expert knowledge of products, services, programs, policies and procedures. Experience Leading an AI Center for Enablement. Experience building and supporting Enterprise-grade APIs. About INSPYR Solutions
INSPYR Solutions is a leading technology solutions company that connects top IT talent with clients to provide innovative business solutions through IT Staffing, Professional Services, and Infrastructure Solutions divisions. Our philosophy centers on Quality, Expertise, People, and Relationships. Learn more at inspyrsolutions.com. INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, or genetics, and complies with applicable state and local nondiscrimination laws. Additional Details
Seniority level: Executive Employment type: Full-time Job function: Management
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Title: AVP Cognitive Engineering (Generative AI). Location: Vienna, VA, hybrid. Duration: Direct Placement. Work Requirements: Holders or Authorized to Work in the U.S. Join to apply for the AVP Cognitive Engineering (Generative AI) role at Jobs via Dice. Dice is the leading career destination for tech experts at every stage of their careers. Our client, INSPYR Solutions, is seeking the following. Apply via Dice today! Job Summary:
The Assistant Vice President (AVP) of Cognitive Engineering is a senior leader within the Enterprise Data and Information Management (EDIM) organization, responsible for shaping and executing strategy for data science, advanced analytics, and applied artificial intelligence (AI). This key role leads the AI Center for Enablement, driving innovation, operational excellence, and the development of scalable AI capabilities. The AVP fosters a culture of AI-as-a-service, enabling business units to harness AI technologies effectively and realize measurable value from AI investments. The AVP collaborates with business stakeholders, technology partners, and cross-functional teams to design and implement an enterprise AI platform aligned with strategic goals and governance standards. The role requires expertise in cognitive technologies including Machine Learning, Natural Language Processing, Generative AI, and Agentic AI, and involves identifying emerging trends, guiding technology adoption, and transitioning AI solutions from incubation to enterprise-wide deployment. It also serves as a catalyst for innovation, talent development, and cross-functional collaboration across the organization. Responsibilities
Define and lead the strategic vision for Cognitive AI, Generative AI, Agentic AI, and Machine Learning capabilities, ensuring alignment with enterprise goals and transformation initiatives. Provide executive oversight for the AI Center for Enablement, ensuring services, platforms, and talent strategy drive enterprise-wide AI adoption, innovation, and measurable business value. Oversee the development and enterprise-scale implementation of AI platforms, including the AI Foundational Platform, in collaboration with Enterprise Architecture, Cloud Engineering, and external technology partners. Partner 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 production. Champion governance frameworks for ethical, secure, and explainable use of AI technologies, working with Model Risk Management, Cybersecurity, and the AI Working Group. Lead evaluation and infusion of emerging technologies in Cognitive Sciences, LLMs, NLP, Generative AI, and Agentic AI through research, prototyping, and enterprise roadmap development. Build 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 across the enterprise to deliver productivity and drive process efficiencies for the workforce. Deliver the AI Literacy program across all organizational levels in collaboration with industry partners and the Talent Development team. Develop and scale high-performing AI Engineering and Operations teams, fostering a culture of continuous learning, technical excellence, and cross-functional collaboration. Establish enterprise-level success metrics for AI initiatives, ensuring measurable impact, high adoption, and alignment with EDIM and enterprise architecture standards. Enable federated AI development by supporting communities of practice and democratizing access to AI tools and services, driving process efficiencies and innovation. Drive execution excellence by overseeing project planning, resource allocation, and budget management for AI initiatives. Apply Scaled Agile principles to ensure timely delivery, iterative value realization, and alignment with enterprise priorities. Qualifications and Education Requirements
Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related technical field – advanced degree preferred. 15+ years of progressive experience in AI, Data Science and Advanced Analytics including leadership of enterprise-scale Generative and Agentic AI initiatives. Proven track record in designing, deploying, and scaling AI solutions including LLMs, Agentic AI, and prompt engineering within cloud-native, production-grade environments. Deep expertise in AI platforms and technologies, including Azure OpenAI, Cognitive Services, and operationalizing AI infrastructure (e.g., Model Garden and Control Plane). Demonstrated ability to align AI strategy with enterprise transformation goals, delivering measurable business value through innovation, automation, and productivity acceleration. Strong background in cloud architecture, system design, and building scalable, secure, and resilient AI platforms in service-oriented environments. Experience 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. Experience leading high-performing AI Engineering and Operations teams, fostering a culture of continuous learning, agile delivery, and technical excellence. Extensive experience with AIOps practices including MLOps, building and managing end-to-end AI pipelines, observability, model monitoring, incident management, and automated remediation for reliability and compliance. Practical experience applying SAFe and Agile delivery principles to manage complex AI programs, budgets, and cross-functional execution. Exceptional communication and executive presentation skills, able to translate complex AI concepts into strategic insights for technical and non-technical stakeholders. Desired Qualifications and Education
Master’s or Ph.D. in Computer Science, Data Science, Data Analytics, Statistics, Mathematics, or related technical field. Knowledge of instructions, standards, and procedures. Expert knowledge of banking/financial industry trends, products, and services. Expert knowledge of products, services, programs, policies and procedures. Experience Leading an AI Center for Enablement. Experience building and supporting Enterprise-grade APIs. About INSPYR Solutions
INSPYR Solutions is a leading technology solutions company that connects top IT talent with clients to provide innovative business solutions through IT Staffing, Professional Services, and Infrastructure Solutions divisions. Our philosophy centers on Quality, Expertise, People, and Relationships. Learn more at inspyrsolutions.com. INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, or genetics, and complies with applicable state and local nondiscrimination laws. Additional Details
Seniority level: Executive Employment type: Full-time Job function: Management
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