Senior AI Engineer - Enterprise ML & NLP (Remote)

ICF; Reston (VA); Remote; USD 108,000 - 184,000; Full time

Job summary

ICF is seeking an AI Engineer to design and operationalize AI/ML capabilities across enterprise data platforms in a remote role with Washington DC area preference. The team focuses on modernizing data ecosystems for federal clients, leveraging cloud-scale platforms, governance, and responsible AI practices to enable trusted decision making.

The position emphasizes model deployment, human-in-the-loop workflows, and continuous improvement, with collaboration across governance, security, and

Qualifications

• U.S. citizenship required due to federal contract.
• Must reside in the U.S., authorized to work in the U.S., and all work must be performed in the U.S.
• Must have lived in the U.S. for three (3) full years out of the last five (5) years.
• Bachelor's degree in Computer Science, Data Science, AI, ML, Software Engineering; Master's may substitute for 2 years of experience.
• 6+ years designing, developing, and deploying AI/ML solutions in enterprise cloud environments.

Responsibilities

• Develop NLP, text analytics, prompt orchestration, guardrails, and human-in-the-loop workflows using VA-approved AI/ML tools and data environments.
• Translate unstructured-data use cases into repeatable technical patterns addressing privacy, provenance, evaluation, monitoring, and operational integration.
• Collaborate with Trustworthy AI, Security, Data Governance, and Customer Experience to ensure generative-AI capabilities are safe, useful, and governed.
• Apply NLP, LLM/GenAI patterns, prompt orchestration, retrieval/evaluation patterns, guardrails, content filters, human-in-the-loop workflows, and Azure AI.
• Collaborate with product, engineering, security, governance, quality, and customer-facing stakeholders as required by the role.
• Document work products, decisions, risks, and delivery evidence to support traceability and continuous improvement.

Skills

Python

SQL

CI/CD with GitHub

Agile

Cross-functional collaboration

Education

Bachelor's degree in CS/DS/AI/ML/SE

Master's degree may substitute for 2 years of experience

Tools

Databricks

Azure Machine Learning

MLflow

LangChain

Semantic Kernel

Azure OpenAI

Delta Lake

Job description

ICF is seeking an AI Engineer to design and operationalize AI/ML capabilities across enterprise data platforms in a remote role with Washington DC area preference. The team focuses on modernizing data ecosystems for federal clients, leveraging cloud-scale platforms, governance, and responsible AI practices to enable trusted decision making.

The position emphasizes model deployment, human-in-the-loop workflows, and continuous improvement, with collaboration across governance, security, and