ME00634-Software Engineer 4

Momentum Engineering, Inc; Annapolis (MD); On-site; USD 170,000 - 210,000; Full time

Benefits offered by this job

Paid holidays

3 weeks PTO

Group medical plan

Dental, vision, life insurance

STD/LTD plans

Job summary

Momentum Engineering, Inc. is seeking a senior software engineer to help integrate AI-enabled capabilities into analyst workflows and mission systems to accelerate cyber data triage, decision support, and operational effectiveness.

The role requires standing up and guiding modern AI platforms in secure government settings, with familiarity in cloud ecosystems such as Microsoft Azure and AWS. The team supports DoD cybersecurity, data privacy, and secure cloud deployments.

Qualifications

• Active TS/SCI clearance with NSA Full Scope Polygraph.
• BS in Computer Science, Cybersecurity, Information Systems, or related field; 10+ years of relevant experience.
• Familiarity with machine learning concepts, including model training, evaluation, tuning, and performance measurement.
• Ability to assess model effectiveness using quantitative metrics and communicate tradeoffs.
• Depth of experience with prompt engineering.
• Proficiency in Python and experience developing RESTful APIs and backend services.
• Experience supporting AI/ML, data, cloud, or platform engineering in government/defense environments.
• Understanding of modern AI concepts including LLMs, embeddings, RAG, vector search, and agentic workflows.
• Familiarity with Microsoft and/or AWS platform ecosystems.
• Proficient with command-line interfaces (PowerShell/Command Prompt).
• Knowledge of cloud architecture, containers, APIs, data services, IAM, and secure system integration.
• Experience with relational databases, SQL, backups, and security/performance practices.
• Experience with configuration management tools like Ansible, Puppet, Chef, Terraform.
• Strong written and verbal communication skills.
• Passionate about AI and platform modernization.
• Ability to prototype quickly and operate in ambiguous problem spaces.

Responsibilities

• Develop full stack applications and services leveraging LLMs, RAG, and AI workflows.
• Design, develop, and deploy AI/ML models for data mining, predictive modeling, and knowledge discovery.
• Integrate AI/ML capabilities into secure, cloud-based data architecture with standardized APIs.
• Monitor model performance, data drift, and trigger retraining as needed.
• Collaborate with data engineers, software developers, and stakeholders to define requirements and deliverables.
• Ensure AI/ML workflows comply with DoD cybersecurity, data privacy, and access control within isolated cloud environments.
• Assist in knowledge transfer, tutorials, and best practices for AI/ML usage.
• Educate stakeholders on AI platform concepts and emerging patterns in government contexts.
• Assess data patterns and support vulnerability information work with cyber analysts.
• Conduct AoAs comparing internal vs. commercial/open-source approaches.
• Develop experiments to evaluate model performance with representative datasets.

Skills

Python

RESTful APIs

AI/ML prototyping

Cloud platforms

Prompt engineering

Secure gov engineering

Team collaboration

Education

Bachelor of Science in Computer Science or related field

Tools

Microsoft Azure

Amazon Web Services (AWS)

Git

Docker

Kubernetes

Job description

Momentum Engineering, Inc. fosters an employee‑centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full‑scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry‑leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication—ensuring long‑term stability and expertise for our customers’ critical needs.

Job Summary

• Seeking a senior software engineer to help integrate AI‑enabled capabilities into analyst workflows and mission systems to accelerate cyber data triage, improve decision support, and enhance operational effectiveness
• This role is ideal for a technically strong engineer who understands how to stand up, assess, and guide modern AI platforms in secure government settings, with familiarity in cloud and enterprise ecosystems such as Microsoft Azure and Amazon Web Services (AWS)

Primary Responsibilities

• Develop full stack applications and services that leverage large language models (LLMs), retrieval‑augmented generation (RAG), agentic workflows, and other emerging AI capabilities
• Designing, developing, and deploying AI/ML models and tools for data mining, predictive modeling, and knowledge discovery
• Integrate AI/ML‑enabled capabilities into a secure, cloud‑based data architecture, ensuring interoperability with existing systems via standardized APIs
• Implement and monitor model performance, data/concept drift, and key metrics in real time; support model retraining and fine‑tuning as new data becomes available
• Collaborate with data engineers, software developers, and stakeholders to define requirements, validate outputs, and support mission deliverables
• Ensure all AI/ML workflows comply with DoW cybersecurity, data privacy, and access control requirements, including operation within isolated cloud environments
• Assist in knowledge transfer and training activities, including the development of tutorials and best practices for AI/ML usage
• Educate stakeholders on AI platform concepts, emerging patterns, and implementation best practices in government environments
• Assessing data patterns in systems and network misconfiguration
• Working with a team of Cyber Analysts to support quick turn requests for vulnerability information by continually improving LLMs
• Conduct analyses of alternatives (AoAs) to compare internally developed approaches against commercial, open‑source, and industry‑standard techniques
• Develop and execute experiments to assess model performance using appropriate evaluation metrics and representative datasets

Required Qualifications

• Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph
• Must have a Bachelor of Science in Computer Science, Cybersecurity, Information Systems, or related field and 10+ years of relevant experience
• Familiarity with machine learning concepts, including model training, evaluation, tuning, and performance measurement
• Ability to assess model effectiveness using quantitative metrics and communicate tradeoffs
• Depth of experience with prompt engineering
• Proficiency in Python and experience developing RESTful APIs and backend services
• Experience supporting AI/ML, data, cloud, or platform engineering efforts in government, defense, or enterprise environments
• Understanding of modern AI concepts, including LLMs, embeddings, RAG, vector search, and agentic workflows
• Demonstrated familiarity with Microsoft and/or AWS platform ecosystems
• Demonstrated proficiency using command‑line interfaces such as Windows PowerShell/Command Prompt for routine development, troubleshooting, scripting, and automation tasks
• Working knowledge of cloud architecture, containers, APIs, data services, identity/access management, and secure system integration
• Ability to understand how AI applications depend on underlying platform components such as model hosting, pipelines, storage, orchestration, and monitoring
• Demonstrated experience in database management, including designing and maintaining relational databases, writing and optimizing SQL queries, implementing backup and recovery procedures, and applying database security and performance best practices
• Demonstrated experience with configuration management, including defining and maintaining configuration baselines, using configuration management tools e.g., Ansible, Puppet, Chef, Terraform to manage infrastructure and application settings
• Strong written and verbal communication skills
• Passionate about AI and platform modernization
• Ability to rapidly prototype solutions, iterate based on user feedback, and operate effectively in ambiguous problem spaces
• Able to translate complex technical issues into actionable guidance for mixed technical and non‑technical audiences
• Mission‑oriented, collaborative, and proactive

Desired Qualifications

• No desired qualifications listed at this time

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate’s experience and qualifications.