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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Specialist, Federal Artificial Intelligence (AI) Engineering - **Company:** Kpmg LLP - **Location:** San Antonio, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, HTML5, Microsoft Azure, Big Data, Command-Line Interface, Cloud Computing, Cloudera Impala, Program Optimization, Data Cleansing, Data Discovery, Extract Transform Load (ETL), Data Structures, Linux, Distributed Systems, Apache Hadoop, Hadoop Distributed File System, MapReduce, Apache Hive, Information Retrieval, Machine Learning, MongoDB, Natural Language Processing, Operational Data Store, Object-Oriented Software Development, Service Development Studio, Software Engineering, Teradata SQL, Unstructured Data, Scripting, Google Cloud, Cloud Platform System, Netezza, ReactJS, Apache Spark, Model Validation, Parallel Computation, AngularJS, Pyspark, Information Technology, React Redux, Restful APIs, Code Restructuring, Microservices - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a991ddb76b1bea0f ## About the Role The KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward we don't anticipate that slowing down. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory., * A minimum of five years of Artificial Intelligence, Information Technology, and/or Data Science experience; U.S. Federal government consulting experience preferred * Bachelor's degree from an accredited college/university * Experience utilizing analytics / software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval * Deep technical understanding of data preparation approaches and machine learning algorithms * Knowledge / experience preforming data science from data discovery, cleaning, model selection, validation, to deployment * Experience coding artificial intelligence methods using object-oriented programming in software development processes (ability to restructure, refactor, and optimize code for efficiency) * Hands-on experience and knowledge in distributed computing architecture, massive-parallel processing big data platforms (Hadoop, MapReduce, HDFS, Spark, PySpark, Hive/Impala, H-Base / MongoDB / Casandra, and Teradata / Netezza / Redshift), mainstream cloud infrastructure (AWS, MS Azure, GCP, and their D&A related microservices) * Experience with Web/RESTful service development, HTML5, JavaScript / Angular / React / Redux * Experience with command-line scripting, data structures, and algorithms; ability to work in Linux and/or cloud environments; ability to write production level code * Ability to travel as required to support firm engagements * Applicant must possess or be eligible for U.S. Government clearance ## Description * Plan, lead, and execute delivery of data / AI engagements (including definition of objectives, key deliverables, mitigating risk in data, modeling, validation, delivery) * Lead workshops and innovation sessions with clients, multi-disciplinary, and cross-functional teams to identify business opportunities, define problem statements, and design high level analytical solutions * Work with clients to discover data sources and create date requests; lead data discovery, ETL/ELT processes to ingest structured data / annotation processes to enrich unstructured data leveraging a variety of data sources (social media, news, internal / external documents, images, video, voice, emails, financial data, and operational data) * Oversee the creation of analytics and machine learning models through all phases of development, from design through training, evaluation, validation, implementation, to delivery * Lead in a fast-paced / dynamic environment utilizing virtual and face-to-face interactions; manage complex work streams, expectations, budgets, and deliverables * Define, monitor, and report key business metrics to management; design, implement, and manage various reporting processes / dashboards * Ability to travel as required to support firm engagements ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [40 Minutes to Build a Serverless COVID-19 REST and GraphQL APIs](https://www.wearedevelopers.com/videos/208-40-minutes-to-build-a-serverless-covid-19-rest-and-graphql-apis) - [The Resilience of the World Wide Web](https://www.wearedevelopers.com/videos/1281-the-resilience-of-the-world-wide-web) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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