Senior AI Engineer - Enterprise LLMs & Agent Workflows

DataJobs; Washington (District of Columbia); Hybrid; USD 160,000 - 190,000; Full time

Benefits offered by this job

Hybrid work environment

Tuition reimbursement or training stip

Career development support

Job summary

Bates White Economic Consulting is seeking an AI Engineer to design, develop, and deploy AI-driven workflows and autonomous agents using LLMs and other AI systems across the firm's enterprise AI platforms.

You will design, build, and deploy AI workflows leveraging Azure AI Foundry, Azure OpenAI, Databricks, Bedrock, SageMaker AI, Vertex AI, Gemini, and more, with emphasis on scalable pipelines and governance.

Qualifications

• Bachelor’s degree in computer science, data science, engineering, or related field.
• 7+ years in software/data engineering or related technical field.
• 3+ years building AI solutions with LLMs and agent-based systems.
• Proficient in Python and modern AI/ML frameworks.

Responsibilities

• Design, build, and deploy AI workflows and agentic solutions using LLMs across enterprise platforms.
• Develop multi-step agent workflows with tool use, function calling, and retrieval-augmented generation.
• Apply understanding of LLMs, prompt design, embeddings, and vector stores for use cases.
• Partner with stakeholders to translate requirements into production AI solutions.
• Build reusable frameworks and pipelines to scale AI across cloud platforms.
• Establish responsible AI practices including data privacy, prompt safety, and governance.
• Monitor and improve accuracy, performance, cost, and reliability of AI systems.
• Maintain CI/CD pipelines and manage model lifecycles and migrations.

Skills

LLM workflows

Python

REST APIs

MLOps/LLMOps

Cloud platforms

Communication

Team collaboration

Education

Bachelor’s degree in CS/data science/engineering

Tools

LangChain

LlamaIndex

Semantic Kernel

MLflow

Weights & Biases

LangSmith

Job description

Bates White Economic Consulting is seeking an AI Engineer to design, develop, and deploy AI-driven workflows and autonomous agents using LLMs and other AI systems across the firm's enterprise AI platforms.

You will design, build, and deploy AI workflows leveraging Azure AI Foundry, Azure OpenAI, Databricks, Bedrock, SageMaker AI, Vertex AI, Gemini, and more, with emphasis on scalable pipelines and governance.