• Lead the design and implementation of scalable AI architectures that align with client business objectives and industry best practices • Collaborate with account leadership to identify and shape AI opportunities, contributing to business development efforts including RFP responses, white papers, and client presentations • Architect and build AI platforms and pipelines leveraging cloud-native services (AWS, Azure, GCP, Palantir, Databricks) to support model development, deployment, and monitoring • Apply deep knowledge of AI/ML lifecycle, including data preparation, model training, evaluation, and operationalization, with a focus on performance, scalability, and maintainability • Drive hands-on development of AI solutions, including Generative AI and Agentic AI systems, ensuring robust integration with enterprise systems and data sources • Collaborate with cross-functional teams (data engineering, software development, DevOps) to ensure seamless delivery of AI solutions • Provide technical leadership and mentorship to junior AI engineers and data scientists • Ensure AI solutions comply with commercial and public sector standards for responsible AI, data governance, and security.