AI and Data Engineer

Accenture Federal Services supports the U.S. federal government across defense, national security, public safety, civilian, and military health organizations. The company is seeking an AI and Data Engineer to build and maintain scalable computer vision data pipelines for image, video, and metadata processing, while collaborating with computer vision, MLOps, and platform teams to ensure reliable data services.

Responsibilities

Design, build, and maintain end‑to‑end data pipelines for computer vision workloads, including ingestion, transformation, and delivery of image, video, and metadata assets

Implement and manage automated workflow orchestration using NiFi and Prefect

Develop high‑performance media processing services and tools using Java, FFmpeg, and OpenCV

Containerize and deploy data services using Docker

Collaborate closely with computer vision engineers, MLOps, and platform teams to ensure data readiness and pipeline reliability

Optimize processing steps for speed, accuracy, and cost efficiency

Establish monitoring, logging, and testing strategies to ensure pipeline stability and data quality

Preferred

Experience withJava (core development)

Experience with KLV metadata extraction (e.g., 0903, 0601)

Familiarity with computer vision model deployment, training workflows, or deep learning frameworks

Exposure to streaming media systems or real‑time video processing

Knowledge of cloud environments and orchestration platforms (AWS, Azure, GCP, Kubernetes)

Detail‑oriented, curious, and comfortable working in fast‑moving technical environments

Strong communicator with the ability to partner across engineering, data science, and product teams

Someone who enjoys building reliable, high‑impact systems that enable computer vision capabilities at scale

Java Development

KLV Metadata Extraction

Computer Vision Deployment

Model Training Workflows

Deep Learning Frameworks

Streaming Media Systems

Real-Time Video Processing

Cloud Environments

AWS

Azure

GCP

Kubernetes

Reliable Systems Engineering

Scalable Systems

Attention to Detail

Curiosity

Adaptability

Communication

Cross-Functional Collaboration

Benefits

A collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

Company

Technology and AI consulting for U.S. federal agencies

Arlington, Virginia, USA

https://www.afs.com/

Founded in 1989

10001+ employees

Qualifications

Proven experience building and maintaining computer vision or media‑centric data pipelines

Strong ETL background involving complex transformations, metadata generation, and media normalization

Hands‑on experience with: – NiFi (data flow management) – Prefect (workflow orchestration) – Docker (containerization) – FFmpeg (video and audio processing) – OpenCV (image processing and analysis)

Experience working with images, videos, and related metadata structures

Familiarity with distributed systems and scalable data processing patterns

An active TS/SCI federal security clearance is required

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States

Experience withJava (core development)

Experience with KLV metadata extraction (e.g., 0903, 0601)

Familiarity with computer vision model deployment, training workflows, or deep learning frameworks

Exposure to streaming media systems or real‑time video processing

Knowledge of cloud environments and orchestration platforms (AWS, Azure, GCP, Kubernetes)

Detail‑oriented, curious, and comfortable working in fast‑moving technical environments

Strong communicator with the ability to partner across engineering, data science, and product teams

Someone who enjoys building reliable, high‑impact systems that enable computer vision capabilities at scale

Required skills

Computer Vision Data Pipelines, ETL, NiFi, Prefect, Docker, FFmpeg, OpenCV, Java, KLV Metadata Extraction, Distributed Systems, Scalable Data Processing, Streaming Media Systems, AWS, Azure, GCP, Kubernetes, TS/SCI Security Clearance

Preferred skills

Experience withJava (core development), Experience with KLV metadata extraction (e.g., 0903, 0601)

Experience

Mid level