Senior Delivery Consultant - AI & Data, Professional Services

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to Basic qualifications: - 5+ years of experience designing and implementing data lakes, data warehouses, or lakehouse solutions, including hands-on experience with open table formats (e.g., Apache Iceberg, Delta Lake, Apache Hudi) - Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience - Proficiency in SQL and at least two programming languages (e.g., Python, Java, Scala), with experience building ETL/ELT pipelines and managing large-scale data - Hands-on experience with distributed data processing frameworks such as Apache Spark (including Spark SQL), Hive, or similar technologies - Experience with MPP data warehouse technologies (e.g., Amazon Redshift, Teradata, Snowflake) and data modeling - Experience with streaming and messaging platforms such as Apache Kafka, Amazon Kinesis, or Amazon MSK - Hands-on experience building generative AI solutions, including LLMs, Retrieval-Augmented Generation (RAG), and vector databases, with experience taking solutions to production - Experience with infrastructure-as-code and workflow automation tools (e.g., Terraform, AWS CDK, CloudFormation, Airflow, CI/CD pipelines) - Experience in a customer-facing role, with excellent written and verbal communication skills and the ability to present technical solutions to both technical and executive audiences Preferred: - Experience with AWS data and AI services such as Amazon S3, AWS Glue, Amazon EMR, Amazon Athena, AWS Lake Formation, Amazon Redshift, Amazon Kinesis, Amazon Bedrock, Amazon SageMaker, and Amazon OpenSearch - Experience with the Hadoop ecosystem (e.g., HDFS, Hive, YARN) and migrating on-premises Hadoop or legacy data warehouse workloads to AWS (e.g., Amazon EMR, S3, Glue, Athena) - Experience with agentic architectures and frameworks (e.g., Strands Agents, LangChain, LangGraph) and with the Model Context Protocol (MCP) - Experience with LLM evaluation, fine-tuning or customization, guardrails, and LLMOps/MLOps - PhD or Master's degree in Computer Science, Engineering, Mathematics, or related field Amazon est un employeur engagé pour l'égalité des chances. Nous sommes convaincus qu'une main d'oeuvre diversifée est essentielle à notre réussite. Nous prenons nos décisions de recrutement en fonction de votre expérience et de vos compétences. Nous apprécions votre envie de découvrir, d'inventer, de simplifier et de construire. La protection de votre vie privée et la sécurité de vos données constituent depuis longtemps une priorité absolue pour Amazon. Veuillez consulter notre Politique de Confidentialité pour en savoir plus sur la façon dont nous collectons, utilisons et traitons les données personnelles de nos candidats. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.