Vice President, Artificial Intelligence (AI)

Bridgenext, Inc-posted 15 days ago

Full-time • Executive

Jacksonville, FL

1,001-5,000 employees

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We are seeking a visionary in the application of Aritificial Intelligence (AI) to be our US Vice President of AI Solutions as part of our Global Enterprise AI Practice. This role requires a deep understanding of how to apply modern AI technologies to solve business problems, high business acumen, and the ability to inspire cross-functional teams. The US VP of AI Solutions will be responsible for supporting the go-to-market strategy for AI, identifying and facilitating innovative ideas, and establishing our company as both a thought leader and proven execution partner in the application of artificial intelligence.

Define and maintain the enterprise AI architecture blueprint, including preferred models for specific use cases, integration patterns, and data flows
Design modern AI platforms (Agentic and non-Agentic driven experiences) on cloud and/or hybrid environments
Ensure AI solutions follow principles of security, scalability, cost optimization, high availability and ethical AI governance practices
Translate business requirements into technical designs and implementation roadmaps
Lead end-to-end solution architecture for AI integration with Enterprise Data and Digital platforms
Guide engineering teams in implementing governance, quality, and safety in AI integrated solutions
Select and recommend AI technologies, tools, and frameworks based on business priorities and technology roadmaps
Ensure architecture adheres to enterprise IT standards and cloud architecture frameworks
Act as a trusted advisor to business and technical teams for AI-related initiatives and projects
Work with Pre-Sales, Consulting, practice and delivery teams at various stages of life cycle
Mentor and guide AI engineers, analysts, and developers on best practices
Engage in RFP/RFI processes, providing solution proposals and architecture diagrams
Build strategic partnerships with AI vendors, academic institutions, and industry groups

Experience: 15+ years in architecture, engineering, or related roles, with at least 5 years as a Solution Architect and 3 years leading an AI Practice
Expertise in foundational AI technologies such as NLP, computer vision, deep learning, reinforcement learning, generative adversarial learning and data engineering as well as expertise in modern AI architecture patterns using LLMs such as RAG, Agents, MCP, and A2A
Strong expertise in AI platforms (OpenAI, Anthropic, AWS Bedrock, Google Gemini, Databricks Genie, Snowflake Cortex, Salesforce Agentforce)
Implemented at least 2 – 3 Enterprise AI projects leveraging any of the Industry leading products/vendors (OpenAI / Azure / AWS / Databricks / Snowflake)
Strong experience with Python for AI implementation
Data Governance & Security: Deep understanding of IAM, RBAC, data encryption, PII handling, and compliance frameworks (e.g., GDPR, HIPAA)
Experience in Agile methodologies and AIOps
Solid written, verbal, and presentation communication skills
Strong team and individual player
Maintains composure during all types of situations and is collaborative by nature
High standards of professionalism, consistently producing high quality results
Self-sufficient, independent requiring very little supervision or intervention
Demonstrate flexibility and openness to bring creative solutions to address issues

Advanced Artificial Intelligence or Machine Learning Degree and/or Certifications
Prior experience with hybrid and multi-cloud AI environments

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