The role
0401Define and lead the applied AI deployment strategy, execution roadmap and business integration model across enterprise business units.
02Act as a forward-deployed AI engineering leader, partnering directly with business teams to translate strategic priorities into deployable products, intelligent workflows and redesigned processes.
03Lead technical solution architecture for complex AI deployments, making hands-on decisions on application architecture, system integration patterns, model orchestration, APIs, security controls and production infrastructure.
04Lead end-to-end implementation, customization, integration and scaling of generative AI, agentic systems and workflow automation solutions in production environments.
05Build, lead and coach a small, globally distributed team of forward deployed AI engineers, establishing engineering excellence through technical review processes, coding standards and career development while actively guiding delivery on critical engagements.
06Establish delivery frameworks and engineering standards that support scalability, reliability, security, maintainability and sustained operational adoption.
07Create reusable AI services, accelerators, evaluation frameworks, blueprints and integration patterns that reduce time to value across business domains.
08Partner with data, infrastructure, information security, architecture, compliance and business teams to align solutions with enterprise priorities and regulated-environment requirements.
09Track solution performance, adoption and business value through monitoring, feedback loops, user analysis and continuous service optimization.
10Guide modernization of existing systems and processes so they can integrate with agentic AI products, applied AI models and enterprise technology platforms.
11Communicate business impact, technical transformation vision, delivery progress, risks and investment needs to senior executives and key stakeholders.
