Key responsibilities:Work with clients to design, develop, and deploy new architectures to support machine learning & automation applicationsLeverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologiesDesign and lead development on scalable, high-performance data architecture solutions that supports both the client business as well as AI/GenAI use casesSupport and enhance data architecture, and data pipelines, and define database schemas (Graph, SQL, NoSQL) to develop algorithm scalability and deployment based on agile business priorities and initiativesParticipate in architectural and deployment discussions to ensure solutions are designed for successful scale, security, and high availability in the cloud or on premAdopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patternsDefine and lead technology proof of concepts to ensure feasibility of new data and cloud technology solutionsDisplay strong thought leadership and execution in pursuit of modern data architecture principles and technology modernizationMentor, motivate, and coach junior members on technical best practices and inspire professional developmentThe TeamOur Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation. QualificationsRequired:Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience4+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment4+ years of experience in designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents)4+ years of programming experience with Linux Shell/CLI, Python, SQL, PowerShell, etc.2+ years of experience managing teams in technical delivery and delivering complex and critical projects2+ years of experience in DevOps and leveraging CI/CD services: Puppet, Ansible, Chef, Airflow, Terraform, Jenkins2+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL, Neo4j)2+ years of experience with deployment and optimization: Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc.