Applications Developer - III

Solutions Technology Inc. (STI); Arlington (VA); On-site; USD 100,000 - 130,000; Full time

Job summary

Solutions Technology Inc. (STI) is looking for a talented AI/ML Engineer in Arlington, VA. You will design, develop, and deploy machine learning models, working in a fast-paced environment alongside a multidisciplinary team.

The ideal candidate has a strong technical background and excellent problem-solving skills, focusing on automation solutions that improve workflows and data quality.

Applicants should hold a BS in a related field and have over 5 years of relevant experience.

Qualifications

• 5+ years of experience in automation engineering, data engineering, or software development.
• Strong programming skills in Python, with experience in data manipulation libraries.
• Active Secret clearance; TS/SCI preferred.

Responsibilities

• Develop automated data pipelines for machine learning technology integration initiatives.
• Implement AI/LLM integrations with Databricks and other cloud services.
• Create automation workflows for malware sample collection and analysis.

Skills

Automation engineering

Data engineering

Software development

AWS data ingestion pipeline design

Python programming

Machine Learning (ML) pipelines

Automation frameworks

APIs and integration technologies

Education

BS in Computer Science, Data Science, or related degree

HS Diploma and 7+ years of directly relevant experience

Tools

Databricks

Docker

Kubernetes

Git

CI/CD tools

Job description

Solutions Technology Inc. (STI) is seeking a talented and driven AI/ML Engineer to join our team in Arlington, VA. In this role, you will play a vital part in designing, developing, and deploying machine learning models that support our critical customer mission. You will work closely with a multidisciplinary team to build scalable AI/ML solutions, streamline data pipelines, and drive forward data-driven innovations in a fast-paced, agile environment.

The ideal candidate will have a broad technical background, a solid understanding of applicable analytics, and a natural curiosity for producing effective solutions. This person is patient, has excellent time-management skills, and practices effective communication style.

The AI/ML Engineer will develop and implement automation solutions to support machine learning technology integration activities, focusing on agentic workflow development, automated analysis workflows, and integration automation. This role addresses manual workflow pain points and enables scaling of technology capabilities through intelligent automation.

Responsibilities

• Develop automated data pipelines for machine learning technology integration initiatives
• Create automation workflows for malware sample collection, detonation, and taxonomy
• Implement AI/LLM integrations with Databricks and other cloud services
• Implement data integration automation between pilot and production systems
• Support Automated Malware Analysis (AMA) platform development and enhancement
• Develop scripts and tools to automate repetitive technical tasks
• Create data transformation and normalization automation
• Support AI/ML data preparation and feature engineering automation
• Develop monitoring and alerting automation for integrated systems
• Implement API integrations for data sharing and workflow automationDocument automation solutions and maintain code repositories
• Support scaling automation from pilot to production environments
• Optimize automation performance and efficiency
• Collaborate with analysts to identify automation opportunities
• Ensure automation solutions maintain data quality and integrity
• Support continuous improvement of automated capabilities

Required Skills

• U.S. Citizenship
• Active Secret clearance; TS/SCI preferred
• Ability to obtain Department of Homeland Security (DHS) Entry on Duty (EOD) Suitability
• 5+ years of experience in automation engineering, data engineering, or software development
• Experience with data ingestion pipeline design on AWS
• Experience with AI/LLM configuration, tuning, and integration
• Experience with Machine Learning (ML) pipelines
• Strong programming skills in Python, with experience in data manipulation libraries
• Experience Amazon Bedrock (model access, endpoints, API Integration)
• Knowledge of automation frameworks and orchestration tools
• Experience with APIs and integration technologies
• Understanding of database systems and data modeling
• Familiarity with version control (Git) and CI/CD practices
• Strong problem-solving and analytical skills
• Ability to translate business requirements into automated solutions
• Excellent documentation and communication abilities

Desired Skills

• Experience with malware analysis automation or cybersecurity tools
• Knowledge of AI/ML pipelines and data preparation
• Experience with Databricks and Databricks AI
• Experience with workflow orchestration tools (Airflow, Prefect)
• Background in cybersecurity or threat intelligence automation
• Experience with containerization and orchestration (Docker, Kubernetes)
• Knowledge of streaming data platforms (Kafka, Kinesis)
• Familiarity with big data technologies (Spark, Hadoop)
• Experience supporting federal cybersecurity programs

Required Education

BS in Computer Science, Data Science, or related degree, or HS Diploma and 7+ years of directly relevant experience