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# Lead Specialist, Federal Artificial Intelligence (AI) Engineering

- **Company:** Kpmg LLP
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Command-Line Interface, Cloud Computing, Cloudera Impala, Software Code 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, Software Engineering, Teradata SQL, Unstructured Data, Scripting, Google Cloud, Cloud Platform System, Netezza, Apache Spark, Model Validation, Parallel Computation, Pyspark, Information Technology, Code Restructuring, Microservices
- **Published:** October 19, 2026
- **Apply:** https://diversityjobs.com/career/18680345/Lead-Specialist-Federal-Artificial-Intelligence-Ai-Engineering-D-C-Washington

## About the Role

* 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 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