IT Systems Engineer

Booz Allen Hamilton•Arlington, VA

2d•Hybrid

About The Position

The Opportunity: Are you looking for an opportunity to combine your technical skills with big picture thinking to make an impact in aerospace and national defense? You understand your customer’s environment and how to develop the right systems for their mission. Your ability to translate real-world needs into technical specifications, makes you an integral part of delivering a customer-focused engineering solution. As a systems engineer on our team, you have the chance to shape the development and upgrades of aerospace systems across multiple defense, civilian, and space domains by leading digital engineering, and model-based systems engineering activities. Your customer will trust you to not only design and develop these systems but also evolve them with advanced technology solutions. On our team, you’ll be able to broaden your skillset into areas like model-based design, model-based systems engineering, digital engineering, and technical analyses. Grow your skills by merging technical engineering expertise and model-based engineering to create digital engineering solutions that drive client missions. This position is a hybrid role with a combination of working at a Booz Allen office or client site and working remotely. Join us. The world can't wait.

Requirements

5+ years of experience with IT Engineering and systems integration, including Digital Engineering Tool integrations and exploration of AI/ML solutions to improve integration workflows
Experience with AI/ML platforms such as TensorFlow, PyTorch, Keras, or scikit-learn to develop or deploy machine learning solutions for systems engineering or IT operations
Experience building, deploying, maintaining, and optimizing AI-based applications
Experience with both Linux and Windows operating systems
Experience applying AI techniques to improve system performance, predictive analytics, or anomaly detection
Experience with AWS, Azure, or GCP cloud ecosystems and cloud-based AI/ML services such as Amazon SageMaker, Azure ML, or Google AI Platform
Experience with networking and cybersecurity principles, including implementing AI-assisted threat detection and response mechanisms
Knowledge of AI-driven solutions in IT systems accreditation and compliance with SRG or STIG requirements
Secret clearance
Bachelor’s degree in Engineering, Data Science, Computer Science, or a STEM field

Nice To Haves

Experience applying AI/ML techniques to requirements and architecture development across the systems development lifecycle (SDLC)
Experience performing analysis studies using AI/ML in modeling and simulation environments, such as predictive simulations or behavior analysis
Experience supporting aerospace systems engineering activities, incorporating AI-based methodologies for design optimization and predictive maintenance
Experience with scripting languages, such as Python, R, and Bash or PowerShell, for developing or automating AI processes
Knowledge of AI-based tools for exploring big data analytics and automation platforms that integrate AI capabilities, such as Ansible, Terraform, or CloudFormation
Possession of excellent verbal and written communication skills, especially in translating technical AI/ML concepts for varied stakeholders
Master’s degree in AI, Machine Learning, Engineering, or related fields
Certified fluency in modeling languages, such as UML, SysML, and OMG Certified Systems Modelling Professional (OCSMP) Certification
Cloud+, AWS Solutions Architect Associate or Professional, Azure, or GCP Certification
CSEP or ASEP INCOSE Systems Engineering Professional Certification

Responsibilities

Leading digital engineering, and model-based systems engineering activities.
Designing and developing systems.
Evolving systems with advanced technology solutions.
Broadening skillset into areas like model-based design, model-based systems engineering, digital engineering, and technical analyses.
Merging technical engineering expertise and model-based engineering to create digital engineering solutions that drive client missions.