Agentic AI Engineer

Job Description Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As an Agentic AI Engineer , you will be responsible for designing, developing and deploying AI models, algorithms and systems to enhance productivity, decision-making and automation within the organization. Responsibilities Architect and implement production‑grade multi‑agent AI solutions with modern orchestration frameworks, enabling reliable, transparent, and secure agentic workflows Build and maintain end‑to‑end agentic AI pipelines, from data ingestion and embedding to deployment and continuous evaluation, optimized for reusability and scalability Develop, test, and deploy internal AI applications that enhance people‑powered, AI‑enabled productivity Provide unified observability with logging, metrics, and alerts and analyze agent runtime behavior to tune latency, accuracy, and cost in production Integrate agentic AI services with existing enterprise systems and uphold AIOps practices for consistent deployment and scaling Collaborate with cross‑functional teams including data scientists, software engineers, and product/service owners to align AI projects with business goals Must stay updated on emerging AI related technologies and recommend improvements to existing AI systems Qualifications Education: Bachelor’s Degree in Computer Science, Computer Engineering, Data Science or a related field 5+ years of experience in AI and machine learning, including hands‑on experience with designing, developing, and deploying AI models and systems 1+ years of experience developing products or functional prototypes using RAG and agentic AI technologies Must have designed and/or implemented a hands‑on agentic workflow solution (not just simple prompt engineering to LLMs) Proven track record of delivering end‑to‑end AI projects and successfully integrating AI solutions into business processes Proficiency in programming languages such as Python, R, or Java, and deep understanding of machine learning frameworks like TensorFlow or PyTorch Strong hands‑on experience with MCP, LangGraph, LlamaIndex or similar agentic frameworks Deep understanding of prompt or context engineering, tool definition, and state management for agents Experience with cloud computing platforms, such as Azure (Preferred), OCI, AWS, or Google Cloud, including AI services like Azure AI Foundry, Bedrock, or Vertex AI Strong background in working with large datasets and performing data preprocessing, feature engineering, and model evaluation Preferred Skills and Abilities: Masters degree; advanced coursework or a Certificate in AI, Machine Learning or related areas desirable Location: Hybrid, 3 days in Falls Church office US Persons required Compensation The likely salary range for this position is $195,500 - $264,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Work Details Scheduled Weekly Hours: 40 Travel Required: Less than 10% Telecommuting Options: Hybrid Work Location: USA VA Falls Church Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans #J-18808-Ljbffr