Prompt Orchestration Engineer Jobs

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Today

AI Engineer

ICF Reston, VA 🇺🇸 Remote

Reston, VA

Today

$108k - $184k/yr Full time Agentic Ai Artificial Intelligence Artificial Intelligence Engineer

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Job Description

ICF is seeking an AI Engineer to help develop and operationalize AI and machine learning capabilities for a cloud-based federal enterprise data and analytics platform. In this role, you will build reusable AI/ML and NLP solutions, support MLOps pipelines for deployment, and help deliver governed, production-ready generative AI at scale.

Role Focus

Develop NLP and text analytics capabilities, including prompt orchestration, guardrails, content-filtering approaches, and human-in-the-loop workflows using VA-approved AI/ML tools and data environments.
Operationalize unstructured-data use cases into repeatable technical patterns covering privacy, provenance, evaluation, monitoring, and operational integration.
Enable trustworthy generative AI by partnering with Trustworthy AI, Security, Data Governance, and Customer Experience personnel to ensure capabilities are safe, useful, and governed.
Apply LLM and GenAI patterns such as retrieval and evaluation approaches, guardrails, content filters, and human-in-the-loop workflows, leveraging Azure AI and Azure OpenAI to support delivery.

Collaboration and Documentation

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.

Required Qualifications

U.S. Citizenship is required due to federal contract requirements.
Candidate must reside in the U.S., be authorized to work in the U.S., and perform all work 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, Artificial Intelligence, Machine Learning, Software Engineering, or a related field; Master’s degree may substitute for two (2) years of relevant experience.
6+ years designing, developing, and deploying AI/ML solutions in enterprise cloud environments.

Preferred Qualifications

Hands-on experience with LLMs, generative AI, NLP, retrieval-augmented generation (RAG), semantic search, vector databases, and prompt engineering techniques.
Experience building AI applications and agentic workflows using Azure AI Services, Azure OpenAI, Databricks AI/ML, MLflow, LangChain, Semantic Kernel, or similar frameworks.
Experience developing prompt orchestration and evaluation frameworks, including model testing and AI application monitoring solutions.
Experience implementing AI safety controls such as content filtering, guardrails, human-in-the-loop review processes, and Trustworthy AI practices.
Experience creating and maintaining MLOps pipelines, model deployment and versioning, performance monitoring, and automated retraining processes.
Experience integrating AI solutions with cloud-native data pipelines, analytics platforms, APIs, and operational business applications.
Experience supporting predictive analytics and generative AI use cases including document intelligence, text analytics, classification, summarization, recommendation.
Familiarity with enterprise data governance, metadata management, data lineage, privacy controls, and role-based access models in regulated environments.
Experience optimizing AI/ML workloads for performance, scalability, reliability, and cloud cost management.
Experience with CI/CD practices using GitHub.
Experience working in Agile, cross-functional teams across engineering, architecture, data science, product, governance, and business users.
Experience supporting Federal government, healthcare, or other highly regulated environments is preferred.

Technologies

Databricks ML, Azure Machine Learning, MLflow, Python, NLP
Generative AI, LLM, GenAI, prompt orchestration, agentic workflows
MLOps pipelines, VA-approved AI/ML tools, Azure AI, Azure OpenAI
LangChain, Semantic Kernel, retrieval-augmented generation (RAG), semantic search
Vector databases, Databricks AI/ML, Delta Lake
Cloud-scale data platforms, text analytics, retrieval/evaluation patterns
Guardrails, content filtering, human-in-the-loop workflows, model monitoring
Performance evaluation, cost optimization, GitHub, CI/CD, SQL

Location

Remote (strong preference for candidates living in the Washington DC Metro Area)
Occasional onsite meetings on the client site in Washington, DC

Compensation

$108,476 - $184,409 per year (based on full-time employment)
Nationwide Remote Office (US99)

Additional Information

Reasonable accommodations are available. To request an accommodation, email Candidateaccommodation@icf.com.
AI tools may not be used to generate or assist with responses during interviews (in-person or virtual). Accommodation requests involving AI should be coordinated in advance with Candidateaccommodation@icf.com.
This application must be submitted directly by the applicant for consideration.

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