Artificial Intelligence Engineer

Qorali; Washington, Baltimore (District of Columbia, MD); On-site; USD 130,000 - 180,000; Full time

Job summary

Qorali is partnering with a leading consulting organization to design, develop, and deploy cutting-edge AI capabilities across the enterprise. The role focuses on generative AI, large language models, and intelligent automation to transform business processes.

You will build scalable AI components, integrate with enterprise systems, and ensure governance and responsible AI practices while collaborating with stakeholders across the business.

Qualifications

• Experience deploying generative AI and LLM solutions.
• Strong Python development for enterprise apps.
• Hands-on with AI agents and automation workflows.
• Designing RAG architectures and embeddings.
• Familiar with AI orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel).
• Experience with Azure/AWS/GCP AI platforms.
• Understanding of prompt engineering and responsible AI.
• Integrating AI with REST APIs and enterprise systems.
• Knowledge of vector databases and embeddings.
• MLOps/LLMOps tooling for deployment and monitoring.
• Strong SQL and data analysis across data environments.
• Cloud experience in Azure, AWS, or Google Cloud.
• Excellent analytical and stakeholder management skills.

Skills

Generative AI

LLM development

Python

AI agents

RAG architectures

Prompt engineering

REST APIs

Vector databases

MLOps/LLMOps

SQL

Cloud platforms

Data analysis

Tools

LangChain

LlamaIndex

Semantic Kernel

Azure OpenAI

Azure AI Foundry

Databricks

AWS Bedrock

SageMaker

Vertex AI

Gemini

Job description

We are partnering with a highly respected consulting organization that specializes in delivering complex analytical, technology, and data driven solutions to clients across multiple industries. As they continue to expand their AI capabilities, they are seeking an experienced AI Engineer to help design, develop, and scale innovative generative AI and intelligent automation solutions across the enterprise.

You will join a growing technology team as an AI Engineer, helping to develop and scale innovative artificial intelligence solutions across the business. This position combines software engineering, cloud technologies, and generative AI development, with a focus on creating intelligent applications, automation tools, and knowledge driven systems. Working alongside business and technical stakeholders, you will build solutions that transform complex business challenges into practical, production ready AI capabilities.

Key Responsibilities

• Design, develop, and deploy AI solutions using large language models, generative AI technologies, and intelligent automation frameworks.
• Build and support autonomous AI agents and workflow solutions that interact with internal systems, business applications, and external tools.
• Develop RAG solutions using vector search, embeddings, and enterprise data sources.
• Work closely with business stakeholders to identify opportunities where AI can improve productivity, efficiency, and decision making.
• Create scalable and reusable AI components, frameworks, and development standards to support future initiatives.
• Implement security, data governance, privacy, and responsible AI practices across all solutions.
• Monitor and optimize deployed AI applications to improve accuracy, performance, reliability, and cost efficiency.
• Support testing, deployment, release management, and ongoing maintenance of production AI environments.
• Integrate AI capabilities with enterprise platforms, APIs, databases, and cloud services.
• Evaluate emerging AI tools, models, and technologies and provide recommendations on their business applications.

Technical Skills

• Strong experience developing and deploying generative AI and large language model solutions.
• Advanced Python development skills with experience building enterprise applications.
• Hands on experience with AI agents, agent workflows, and intelligent automation solutions.
• Experience designing and implementing RAG architectures, semantic search solutions, embeddings, and knowledge retrieval systems.
• Knowledge of AI orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar technologies.
• Experience working with Azure OpenAI, Azure AI Foundry, Databricks, AWS Bedrock, Amazon SageMaker, Google Vertex AI, Gemini, or related AI platforms.
• Strong understanding of prompt engineering, model evaluation, AI guardrails, and responsible AI practices.
• Experience integrating AI applications with REST APIs, enterprise systems, business workflows, and data sources.
• Knowledge of vector databases, embedding models, and modern AI infrastructure.
• Experience with MLOps or LLMOps tools for deployment, monitoring, testing, and lifecycle management.
• Strong SQL and data analysis skills across structured and unstructured data environments.
• Experience working within Azure, AWS, or Google Cloud environments.
• Excellent analytical, communication, problem solving, and stakeholder management skills.