AI/ML Engineer

Position Description We're looking for an AI/ML Engineer who enjoys building practical, scalable AI solutions and working closely with business teams to bring ideas to life. In this role, you'll design and deploy machine learning models—especially those involving large language models (LLMs) and generative AI—while leveraging AWS cloud services. We partner with 15 of the top 20 banks globally, and our top 10 banking clients have worked with us for an average of 26 years!. This role is located at a client site in Reston, VA or Plano, TX. A hybrid working model is acceptable. Your future duties and

We're looking for an AI/ML Engineer who enjoys building practical, scalable AI solutions and working closely with business teams to bring ideas to life. In this role, you'll design and deploy machine learning models—especially those involving large language models (LLMs) and generative AI—while leveraging AWS cloud services. You'll play a key part in shaping intelligent systems, from early-stage experimentation and prompt engineering to production deployment and performance optimization. The ideal candidate is comfortable working across the full ML lifecycle and stays current with evolving AI technologies.

To Be Successful In This Role • 4+ years of relevant experience in machine learning, data science, or AI engineering • Solid experience building and deploying machine learning models in real-world environments • Hands-on work with large language models (OpenAI, Anthropic, Cohere, etc.) and prompt engineering techniques • Strong Python skills, along with familiarity with libraries like TensorFlow, PyTorch, or scikit-learn • Comfortable working within AWS—particularly services like Bedrock, S3, EC2, Lambda, and SageMaker • Experience setting up data pipelines and APIs to support ML workflows • Good understanding of MLOps practices, including model deployment, monitoring, and iteration • Ability to translate business needs into technical solutions without overcomplicating things • Familiarity with data analysis tools such as Pandas, R, or similar • Exposure to building or deploying AI agents or generative AI-based solutions • Strong problem-solving mindset and the ability to explain technical ideas clearly Desired Skillset: • Experience fine-tuning or customizing foundation models • Working knowledge of Docker or container orchestration tools • Awareness of data privacy and security considerations in cloud environments