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

Navitas Business Consulting, Inc.; Herndon (VA); On-site; USD 50,000 - 200,000; Full time

Job summary

Navitas is seeking highly qualified engineers and AI professionals to join our team. You will contribute to projects spanning AI/ML, data engineering, cloud computing, cybersecurity, and DevSecOps, delivering secure, scalable technology solutions for mission-critical environments.

We value collaboration, continuous learning, and the application of modern technologies to real-world problems, with opportunities across commercial, federal, and state/local markets.

Qualifications

• Bachelor's degree in a technical field or equivalent professional experience.
• Experience in software engineering, AI/ML, data engineering, cloud, cybersecurity, or related discipline.
• Ability to learn and apply new technologies in fast-paced environments.

Responsibilities

• Design, develop, integrate, test, deploy, and maintain enterprise technology solutions.
• Apply engineering principles and modern practices to solve complex technical challenges.
• Develop AI/ML solutions that improve automation and decision-making.
• Develop scalable software, APIs, services, and data pipelines.
• Collaborate with engineers, data scientists, cybersecurity professionals, and stakeholders.

Skills

Analytical thinking

Problem solving

Technical communication

Independent & collaborative work

Python

Education

Bachelor's degree or equivalent

Tools

Python

APIs & microservices

Job description

Engineering & Artificial Intelligence Talent – General Interest

Job ID#: 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, DevSecOps, 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, TypeScript, 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 NoSQL databases
  • Data Analytics and Visualization
• Cloud & DevSecOps
  • Microsoft Azure
  • Amazon Web Services (AWS)
  • Google Cloud Platform (GCP)
  • Kubernetes and Docker
  • CI/CD
  • Infrastructure as Code
  • Terraform
  • GitHub/GitLab/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
  • DevSecOps
  • 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.
• Troubleshoot complex technical issues and perform root‑cause analysis.
• Collaborate with engineers, architects, data scientists, cybersecurity professionals, project managers, and business stakeholders.
• Participate in Agile/Scrum development activities and contribute to continuous improvement.
• Ensure solutions follow applicable security, quality, compliance, and engineering standards.
• Mentor team members and contribute to engineering best practices and knowledge sharing.

What You’ll Need

• Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, Artificial Intelligence, Mathematics, or a related technical field, or equivalent professional experience.
• Professional experience in software engineering, systems engineering, AI/ML, data engineering, cloud engineering, cybersecurity, or a related technical discipline.
• Strong analytical, problem‑solving, and technical communication skills.
• Experience working with modern software development, engineering, cloud, data, or AI technologies.
• Ability to work independently and collaboratively in a fast‑paced, team‑oriented environment.
• Demonstrated ability to learn and apply new technologies to complex technical problems.

Security Clearance Requirements

Because Navitas supports opportunities that may involve federal government systems, sensitive information, and mission‑critical environments, security clearance requirements vary by position and assignment. Candidates with one or more of the following are encouraged to apply:

• Public Trust
• Suitability or federal background investigation
• Secret
• Interim Secret
• Top Secret
• Interim Top Secret
• Top Secret/SCI (TS/SCI)
• SCI eligibility
• Other federal security clearances or adjudicated investigations

Some positions may require candidates to obtain and maintain a specific security clearance as a condition of employment. Clearance requirements, eligibility standards, and investigation levels will vary based on the specific position. Candidates should clearly identify their current clearance level, clearance status, and eligibility for additional clearance requirements on their resume.

Set Yourself Apart with

• Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field.
• Experience developing or deploying Generative AI, LLM, RAG, machine learning, or AI agent solutions.
• Experience with Python and AI/ML frameworks such as PyTorch, TensorFlow, Scikit‑learn, or similar technologies.
• Experience with cloud AI/ML services from Azure, AWS, or GCP.
• Experience with APIs, microservices, containers, Kubernetes, and cloud‑native architectures.
• Experience with data platforms, data pipelines, and large‑scale data processing.
• Experience with DevSecOps, CI/CD, Infrastructure as Code, and automated testing.
• Experience working in Agile/Scrum environments.
• Relevant professional certifications in cloud, AI/ML, cybersecurity, software engineering, or systems architecture.
• Active federal security clearance or current federal clearance eligibility.

What We Look For

• Technically curious and excited about emerging technologies.
• Problem solvers who can tackle complex engineering challenges.
• Innovative and able to identify practical applications for AI and automation.
• Collaborative and comfortable working across technical disciplines.
• Adaptable and willing to continuously learn new technologies.
• Security‑minded with an understanding of developing reliable, secure, and responsible technology.
• Outcome‑focused, with the ability to turn ideas and requirements into working solutions.

General Interest / Talent Community

This opportunity may be used to identify candidates for current and future engineering, AI, data, cloud, cybersecurity, and emerging technology opportunities with Navitas. Specific responsibilities, qualifications, technologies, security clearance requirements, and experience requirements may vary based on the position and project.

We encourage experienced professionals and emerging technology specialists with strong engineering, AI, or technical backgrounds—and candidates who currently hold or are eligible for federal security clearances—to submit their information for consideration.

Salary: $50,000 - $200,000