AI/ML Engineer – GovCloud, Generative AI & RAG

Socket.dev; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Best in class medical coverage

Medical premiums covered

Incentive programs

Training and certifications

PTO and holidays

401k match

Cell phone/home internet reimbursement

Parental leave

Job summary

True Zero Technologies is seeking an AI/ML Engineer to design, build, deploy, and operate AI/ML capabilities across secure government cloud environments. You will work on data preparation, model development, evaluation, and deployment, leveraging FedRAMP-authorized AWS GovCloud services aligned to security and Zero Trust standards.

The role emphasizes strong Python development, modern AI/ML architectures, and production-grade pipelines, with collaboration across cybersecurity, data, cloud, and

Qualifications

• Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, Information Systems, or a related technical discipline.
• Experience with Generative AI, foundation models, and RAG architectures, where applicable to the program scope.
• Experience with embeddings, vector search, semantic retrieval, prompt engineering, and LLM evaluation.
• Experience with supervised or unsupervised machine learning, feature engineering, model training, and model selection where traditional ML is in scope.
• Familiarity with MLOps or LLMOps practices for model and application lifecycle management.
• Experience developing automated model and application evaluation frameworks.
• Familiarity with responsible AI concepts, including model limitations, bias evaluation, explainability, traceability, and human oversight.
• Experience deploying containerized workloads and microservices.
• Experience working in government, defense, regulated, or other security-sensitive environments.

Responsibilities

• Build and integrate AI/ML capabilities supporting mission workflows using FedRAMP-authorized services available in AWS GovCloud, from data preparation through deployment, evaluation, and monitoring.
• Design, develop, test, and operationalize AI/ML solutions aligned to defined mission and business requirements.
• Translate operational use cases into scalable AI/ML architectures, services, and integration patterns.
• Develop APIs, services, and application integrations that expose AI/ML capabilities to mission applications and enterprise platforms.
• Collaborate with application engineers, data engineers, cloud engineers, cybersecurity teams, and mission stakeholders throughout the solution lifecycle.
• Conduct technical evaluations and proof-of-concept implementations to determine whether proposed AI/ML technologies are appropriate for the mission, security environment, and available GovCloud services.
• Maintain technical documentation covering architecture, model behavior, interfaces, dependencies, deployment procedures, and operational requirements.
• Develop production-quality AI/ML applications and supporting services using Python.
• Build reusable Python modules, services, utilities, and automation supporting data processing, inference, evaluation, and system integration.
• Apply standard software engineering practices including source control, automated testing, code review, dependency management, and CI/CD.
• Develop and integrate machine learning models, foundation models, or AI services based on approved use cases and architecture.
• Optimize AI/ML application performance, reliability, scalability, and resource utilization.
• Troubleshoot issues involving model behavior, data quality, application integration, cloud services, and runtime environments.
• Design and implement Generative AI and Retrieval-Augmented Generation (RAG) patterns when included within the approved solution scope.
• Develop workflows for document ingestion, parsing, chunking, embedding generation, indexing, retrieval, prompt construction, and model inference.
• Integrate approved large language models and foundation-model services with enterprise applications and mission data sources.
• Evaluate retrieval quality, response relevance, groundedness, hallucination risk, and overall solution effectiveness.
• Develop prompt-management, model-routing, and orchestration patterns where appropriate.
• Implement safeguards and validation mechanisms to reduce the risk of inappropriate, inaccurate, or unauthorized model outputs.
• Support secure integration of vector stores, search services, knowledge repositories, and other components required by RAG architectures.

Skills

Python development

AI/ML architectures

Data pipelines

FedRAMP/GovCloud

Education

Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, Information Systems, or a related technical discipline

Tools

AWS GovCloud

Docker

CI/CD

Job description

True Zero Technologies is seeking an AI/ML Engineer to design, build, deploy, and operate AI/ML capabilities across secure government cloud environments. You will work on data preparation, model development, evaluation, and deployment, leveraging FedRAMP-authorized AWS GovCloud services aligned to security and Zero Trust standards.

The role emphasizes strong Python development, modern AI/ML architectures, and production-grade pipelines, with collaboration across cybersecurity, data, cloud, and