Senior AI/ML Engineer

Zolon Tech • Aberdeen, MD

54d • Onsite

About The Position

The Senior AI/ML Engineer will lead the design, development, and deployment of advanced AI solutions leveraging Retrieval-Augmented Generation (RAG) architectures, AWS Bedrock, Anthropic Claude, and other LLM ecosystems to modernize legacy federal systems. The role involves building scalable, secure, and explainable AI pipelines to support intelligent search, forms processing, and decision automation in compliance with federal data governance and security standards.

Requirements

• Bachelor's or Master's degree in Computer Science, AI/ML, or related field.
• 5+ years of hands-on experience in AI/ML solution design and development.
• Strong proficiency in Python, PyTorch/TensorFlow, and LLM frameworks (LangChain, Bedrock SDKs).
• Experience building RAG-based applications with vector search, embeddings, and retrieval models.
• Deep familiarity with AWS AI services (Bedrock, SageMaker, Textract, Comprehend, Lambda, IAM).
• Experience with Claude, GPT-4/5, or Titan models and knowledge of prompt engineering and few-shot learning.
• Working knowledge of API orchestration, MLOps, and CI/CD pipelines for model lifecycle management.
• Understanding of federal data privacy, FISMA/NIST compliance, and secure cloud AI deployments.

Nice To Haves

• Experience integrating LLMs with enterprise search or document management systems (e.g., SharePoint, ElasticSearch).
• Certification in AWS Machine Learning Specialty or equivalent

Responsibilities

• Design and implement RAG pipelines that integrate document embeddings, vector databases (e.g., Pgvector, Pinecone, OpenSearch, FAISS), and LLM orchestration frameworks such as LangChain and Bedrock SDKs.
• Leverage AWS Bedrock, SageMaker, and Textract for fine-tuning and deployment of foundation models in secure federal environments.
• Develop and optimize LLM-based agents using Titan models for natural language understanding, summarization, and question answering over structured/unstructured data.
• Architect AI microservices using Python (FastAPI), containerized with Docker and deployed on AWS (ECS/EKS/Lambda).
• Contribute to AI governance documentation, including model cards, bias evaluation, and explainability reports per NIST and federal guidelines.
• Mentor junior engineers in applied AI design patterns, data preprocessing, and secure ML deployment best practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 251-500 employees