What You'll Be Doing

· Lead and grow a high-performing AI Engineering team through hiring, coaching, mentoring, and capability development.

· Define technical direction, engineering standards, and delivery practices for AI-enabled applications and platforms.

· Design, build, and support secure, cloud-native AI and machine learning solutions in production environments.

· Partner with business stakeholders to identify AI adoption opportunities, define roadmaps, and prioritize initiatives with measurable business outcomes.

· Lead the development of document intelligence solutions, including document classification, information extraction, workflow automation, and retrieval-augmented generation (RAG).

· Establish governance processes for AI model evaluation, monitoring, responsible AI practices, and production risk management.

· Oversee the delivery of AI, machine learning, NLP, agent-based, and cloud-native solutions while ensuring scalability, security, and production readiness.

· Drive engineering excellence through quality standards, observability, automated testing, data quality controls, and continuous improvement initiatives.

· Lead sprint planning, capacity management, risk mitigation, and delivery commitments across the team.

· Collaborate closely with data scientists, data engineers, architects, security teams, and business stakeholders to deliver enterprise AI solutions.

· Evaluate emerging AI technologies, frameworks, and platforms, ensuring adoption aligns with organizational standards and governance requirements.

· Lead incident management, post-mortems, operational readiness, and platform resiliency initiatives.

• What You'll Need to Succeed