Senior Artificial Intelligence Solutions Engineer

The Senior AI Solutions Engineer is a recognized technical subject matter expert who leads large complex AI/ML initiatives across the enterprise with limited oversight. This role combines deep technical expertise in AI systems engineering with the ability to manage major cross-functional projects shape technical strategy and develop the capabilities of the broader AI Solutions team. The Senior AISE contributes to the definition of departmental goals and technical direction influences AI practices and standards across the organization and serves as the most senior individual contributor within the AI Solutions Engineer career ladder. Working across the full AI/ML lifecyclefrom discovery and data architecture through production delivery and sustained impact measurementthe Senior AISE is accountable for major impact on business and departmental results.

• Lead discovery and strategic scoping. Serve as the primary technical authority partnering with senior business stakeholders to define high-value AI opportunities establish success metrics and create delivery roadmaps; set the standard for how AI projects are structured and executed across the team.
• Architect advanced AI and data science solutions. Design and oversee implementation of complex AI/ML systemsincluding LLM applications multi-modal AI agentic frameworks and statistical modelingat an architectural level ensuring scalability reliability and measurable enterprise impact.
• Drive production AI quality and standards. Establish and maintain evaluation frameworks guardrails human-in-the-loop processes and quality standards for AI systems across the team. Define best practices for prompt engineering model fine-tuning and AI system monitoring.
• Lead enterprise data and AI platform integration. Own the architecture and delivery of complex data pipelines integrations and AI platform connections across enterprise systems; define data governance standards and lineage requirements for AI at scale.
• Deliver full-stack AI applications. Implement or oversee delivery of production-grade backend services and user interfaces; maintain high engineering standards and actively drive code quality across team deliverables through architecture reviews and technical guidance.
• Champion cloud-native AI operations. Establish cloud architecture patterns (AWS/Azure/GCP) and best practices for AI workloads; own the design of scalable deployment orchestration monitoring and observability infrastructure for the teams AI systems.
• Advance AI safety trust and governance. Lead the definition and adoption of secure-by-design AI practices: privacy-preserving design access control models responsible AI principles bias mitigation incident response protocols and compliance with regulatory requirements.
• Contribute to technical strategy and goal development. Collaborate with the Director of AI Solutions and cross-functional leaders to shape the technical roadmap; contribute to departmental goal-setting tool and platform selection decisions and the evolution of AI engineering capabilities.
• Manage major AI projects and programs. Lead large complex technical projects or programs spanning multiple teams or business units; define project structure delegate work manage technical risks and ensure delivery of high-quality outcomes with limited management oversight.
• Develop team capabilities. Serve as senior mentor and technical coach across the AI Solutions team; conduct architecture and design reviews lead internal knowledge-sharing sessions and actively invest in the growth of AISE 1 and AISE 2 engineers.
• Communicate AI value to leadership. Translate complex technical outcomes into clear business narratives for executive and cross-functional audiences; lead change management efforts drive adoption of AI tools and represent the AI Solutions function in strategic conversations.