Senior GenAI Engineer AWS & SageMaker

Job Title:

Senior GenAI Engineer -

AWS & SageMaker Location:

Reston, VA (Onsite - No Relocation)

Duration:

6+

Months Visa:

Only Job Summary:

We are seeking a highly skilled Senior GenAI Engineer with strong expertise in AWS, Python, SageMaker, and Large Language Models (LLMs) to support enterprise AI initiatives within a fast-paced financial services environment. The ideal candidate will have experience designing and deploying AI/ML solutions, building scalable data pipelines, and developing GenAI-powered applications using modern AWS cloud services. This role requires someone who can work independently, communicate confidently with cross-functional teams, and contribute to building production-ready AI systems focused on financial reporting, summarization, analytics, and intelligent automation.

Key Responsibilities:

Design, develop, and deploy Generative AI and machine learning solutions using AWS SageMaker and related AWS services. Build and optimize prompt engineering strategies for LLM-based financial reporting, summarization, and communication workflows. Develop scalable ETL/data pipelines using Python and SQL to process structured and unstructured financial datasets. Work with Large Language Models (LLMs) including Anthropic Claude/Sonnet and other foundation models. Implement Retrieval-Augmented Generation (RAG) workflows and vector-based retrieval systems where applicable. Collaborate with business stakeholders, analysts, and engineering teams to translate business needs into AI-driven solutions. Monitor model performance, improve prompt quality, and optimize inference workflows for accuracy and efficiency. Build reusable AI/ML components and maintain documentation for workflows, models, and deployment strategies. Support model deployment, experimentation, and lifecycle management within AWS cloud environments.

Required Skills:

8+ years of overall software engineering experience 2+ years of hands-on AI/ML or Generative AI engineering experience Strong expertise in Python and SQL Hands-on experience with AWS services including SageMaker, S3, Lambda, and Redshift Experience working with LLMs, prompt engineering, and GenAI applications Strong understanding of machine learning workflows and model deployment Experience developing scalable data processing pipelines Excellent communication and collaboration skills Ability to work independently in a fast-paced environment

Preferred Skills:

Experience with AWS Bedrock Experience with RAG architectures and vector databases such as FAISS or Pinecone Exposure to MLOps and model lifecycle management Experience in financial services or fintech environments Familiarity with data visualization tools such as

Tableau or Power BI Education:

Bachelor s degree in Computer Science, Data Science, Engineering, Finance, or related field.