26-5019: Engineering & Artificial Intelligence Talent – General Interest

26-5019:
Engineering & Artificial Intelligence Talent – General Interest

Engineering & Artificial Intelligence Talent – General Interest
Job #: 26-5019
Clearance:
Any

Who We Are
:
Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we’ve served as trusted advisors supporting our client base within the commercial, federal, and state and local markets.

What We Do
:
At our very core, we’re a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting‑edge transformative solutions.

What you'll do: Navitas is seeking talented and motivated Engineering and Artificial Intelligence professionals to join our growing technology team. We are interested in connecting with experienced engineers, technologists, and emerging technology professionals who are passionate about developing innovative solutions, solving complex technical challenges, and applying modern technologies to real‑world problems. Successful candidates may contribute to projects involving software engineering, artificial intelligence, machine learning, data engineering, cloud computing, cybersecurity, Dev Sec Ops , systems engineering, automation, and enterprise technology modernization.

Navitas offers opportunities for professionals who enjoy working in collaborative, technically challenging environments and want to contribute to the development of secure, scalable, and innovative technology solutions supporting mission‑critical initiatives.

Areas of Opportunity:

• Artificial Intelligence & Machine Learning
  • Generative AI and Large Language Models (LLMs)
  • Machine Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Predictive Analytics
  • AI/ML model development and deployment
  • Prompt engineering and AI application development
  • Retrieval-Augmented Generation (RAG)
  • AI agents and intelligent automation
  • Responsible AI and AI governance
• Software Engineering
  • Full‑Stack Development
  • Backend and Frontend Development
  • Java, Python, C#, C++, JavaScript, Type Script, or similar languages
  • RESTful APIs and microservices
  • Enterprise application development
  • Application modernization
• Data Engineering & Analytics
  • Data Engineering
  • Data Architecture
  • ETL/ELT
  • Data Pipelines
  • Data Warehousing
  • Big Data
  • SQL and No
    
    SQL databases
  • Data Analytics and Visualization
• Cloud & Dev Sec Ops
  • Microsoft Azure
  • Amazon Web Services (AWS)
  • Google Cloud Platform (GCP)
  • Kubernetes and Docker
  • CI/CD
  • Infrastructure as Code
  • Terraform
  • Git Hub/Git Lab/Jenkins
  • Cloud architecture and modernization
• Systems & Solutions Engineering
  • Systems Engineering
  • Solutions Architecture
  • Enterprise Architecture
  • Integration Architecture
  • API Architecture
  • Distributed Systems
  • Systems integration
  • Technical requirements and solution design
• Cybersecurity & Emerging Technology
  • Cloud Security
  • Application Security
  • Dev Sec Ops
  • Identity and Access Management
  • Security Engineering
  • Zero Trust
  • Automation
  • Emerging technology evaluation and implementation

Depending on the position and project assignment, responsibilities may include:

• Design, develop, integrate, test, deploy, and maintain enterprise technology solutions.
• Apply engineering principles and modern development practices to solve complex technical challenges.
• Design and implement AI/ML solutions that improve automation, decision‑making, data analysis, and operational efficiency.
• Develop scalable software applications, APIs, services, and data pipelines.
• Analyze business and technical requirements and translate them into effective technology solutions.
• Design and implement cloud‑based, distributed, and highly available systems.
• Develop and maintain CI/CD pipelines and automated testing processes.
• Integrate AI, data, applications, and enterprise systems across complex technology environments.
• Evaluate emerging technologies and recommend solutions that improve performance, scalability, security, and maintainability.
• Develop technical documentation, architecture diagrams, system designs, and engineering specifications.
• Troub…