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. Stay current with emerging AI technologies and frameworks, and assess their applicability to client use cases. 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.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees