AI/ML Engineer (R-00194)

22 days ago

Arlington, VA, USAMid Level

Responsibilities

Build, integrate, deploy, evaluate, monitor, and optimize AI/ML capabilities supporting mission and business workflows in AWS GovCloud.
Design scalable AI/ML architectures and translate operational use cases into services, APIs, integration patterns, and production applications.
Develop reusable Python modules, services, utilities, and automation for data processing, inference, evaluation, and system integration.
Design and implement Generative AI and RAG workflows covering document ingestion, parsing, chunking, embeddings, indexing, retrieval, prompting, and inference.
Integrate foundation models and approved large language model services with enterprise applications and mission data sources.
Evaluate model and retrieval quality, response relevance, groundedness, hallucination risk, and overall solution effectiveness.
Implement prompt management, model routing, orchestration, safeguards, and validation mechanisms for reliable and authorized outputs.
Collaborate with application, data, cloud, cybersecurity, and mission teams while documenting architecture, model behavior, interfaces, dependencies, deployment, and operations.

Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, Information Systems, or a related technical discipline.
Experience with Generative AI, foundation models, RAG architectures, embeddings, vector search, semantic retrieval, prompt engineering, and LLM evaluation.
Experience with supervised or unsupervised machine learning, feature engineering, model training, and model selection when traditional ML is in scope.
Familiarity with MLOps or LLMOps lifecycle-management practices and 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.
Preferred certifications include AWS Certified AI Practitioner and AWS Certified Machine Learning Specialty.

Competitive salary paid twice per month.
Best-in-class medical coverage with 100% of medical premiums covered by True Zero.
Company-wide new business incentive programs and contribution incentives for white papers, blog posts, and internal webinars.
Three weeks of PTO starting and 11 paid holidays annually.
401(k) program with 100% company match on the first 4%.
Monthly reimbursement for cell phone and home internet costs.
Paternity and maternity leave.
Training and certification investment to broaden and deepen technical skills.

51-200 employees