[Hiring] Senior Director, AI Engineering @nexus IT group

Role Description

• Define and execute the organization's enterprise AI vision, strategy, and operating model.
• Develop a multi-year roadmap for AI adoption, platform investments, business enablement, and technology modernization.
• Establish governance, funding, prioritization, and success metrics for AI initiatives.
• Build and manage a balanced portfolio of AI programs that drive business value while maintaining appropriate operational, security, and risk controls.
• Evaluate emerging technologies and identify opportunities to improve business performance, customer experiences, operational efficiency, and employee productivity.
• Serve as a trusted advisor to executive leadership on AI strategy, opportunities, risks, and industry trends.
• Lead the development of enterprise AI platform capabilities that support scalable, secure, and reusable AI solutions.
• Define architectural standards for intelligent applications, automation platforms, digital assistants, enterprise knowledge solutions, and AI-enabled workflows.
• Establish foundational capabilities supporting:
  • Model access and orchestration
  • Knowledge retrieval and search
  • Enterprise data integration
  • Monitoring and observability
  • Security and governance controls
• Drive adoption of AI-assisted software development practices across the software delivery lifecycle.
• Partner with architecture, engineering, infrastructure, operations, security, and data teams to modernize technology delivery through AI-enabled capabilities.
• Collaborate with business leaders to identify and prioritize high-value AI use cases.
• Lead initiatives focused on:
  • Intelligent automation
  • Decision support systems
  • Document and knowledge management
  • Workflow optimization
  • Productivity enhancement
  • Customer and employee experience improvements
• Develop frameworks for evaluating, prioritizing, and scaling AI opportunities across the organization.
• Establish adoption strategies, change management programs, and success measurements for enterprise AI initiatives.
• Build organizational AI literacy through education, enablement programs, and communities of practice.
• Partner with risk, security, legal, compliance, and data governance stakeholders to ensure responsible AI adoption.
• Embed security, privacy, transparency, human oversight, and operational controls into AI platforms and business solutions.
• Support the development and operationalization of enterprise AI governance frameworks.
• Balance innovation and experimentation with appropriate governance and risk management practices.
• Promote ethical and responsible use of AI technologies across the organization.
• Lead delivery of enterprise AI initiatives from strategy through implementation and adoption.
• Establish delivery frameworks, operating models, and performance measures that ensure successful execution.
• Manage technology investments, budgets, vendor relationships, and strategic partnerships.
• Drive accountability for scope, timelines, quality, adoption, and business outcomes.
• Ensure AI initiatives are scalable, supportable, and aligned with enterprise architecture and operational standards.
• Build and lead a high-performing team of AI, engineering, architecture, automation, and technology professionals.
• Foster a culture of innovation, experimentation, accountability, and continuous learning.
• Mentor leaders and technical teams while establishing clear goals, priorities, and performance expectations.
• Serve as a catalyst for organizational change and technology transformation.
• Promote collaboration across business and technology functions to accelerate enterprise adoption.

Qualifications

• 15+ years of progressive leadership experience in technology, digital transformation, software engineering, architecture, data, automation, or emerging technologies.
• Significant experience leading enterprise-scale AI, automation, analytics, or digital transformation initiatives.
• Demonstrated success building and executing technology strategies that deliver measurable business outcomes.
• Experience operating within highly regulated or complex enterprise environments preferred.
• Strong understanding of modern AI and Generative AI technologies, including:
  • Large language models and foundation models
  • AI orchestration and workflow automation
  • Retrieval and knowledge-based architectures
  • Prompt engineering and evaluation methodologies
  • AI application development patterns
• Experience with intelligent automation, AI-enabled software development, and enterprise AI platforms.
• Familiarity with responsible AI principles, governance frameworks, model lifecycle management, and operational monitoring.
• Strong technical foundation across cloud platforms, APIs, distributed systems, data architecture, cybersecurity, identity, and modern engineering practices.
• Proven ability to align technology investments with strategic business objectives.
• Strong executive communication and stakeholder management skills.
• Experience influencing senior leadership and driving enterprise-wide change initiatives.
• Demonstrated success managing teams, vendors, consulting partners, and complex delivery portfolios.
• Strong financial acumen, including budgeting, investment planning, vendor management, and value realization.

Education

• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related discipline required.
• Advanced degree preferred.

Leadership Characteristics

• Strategic thinker with a passion for innovation and emerging technologies.
• Hands-on leader who balances vision with execution.
• Strong business acumen combined with deep technical credibility.
• Collaborative influencer who builds alignment across diverse stakeholder groups.
• Results-oriented operator focused on measurable outcomes and sustainable transformation.
• Coach and mentor committed to developing talent and building high-performing teams.