AI Engineer

4 weeks ago

Downers Grove, United States CareerBuilder Full time

Responsibilities:

Utilize Azure AI Services to build and optimize OpenAI solutions and advocate for the strategic use of OpenAI technologies in solution designs.

Develop and manage data ingestion and transformation pipelines using Azure Semantic Kernel and other AI services, enhancing data utility for AI processing.

Craft and evaluate efficient prompt engineering solutions to improve the performance and effectiveness of Azure OpenAI models.

Design and deploy AI solutions involving Large Language Models (LLMs) beyond Azure OpenAI, integrating multiple AI technologies to meet complex project requirements.

Serve as a technical lead on projects, ensuring alignment with business goals and seamless integration of AI technologies.

Provide technical consultation and support to the sales team during pre-sales engagements, including crafting technical proposals and conducting demonstrations.

Mentor junior consultants and engineers, elevating team capabilities through knowledge sharing and targeted training.

Requirements

Bachelors degree in computer science, Artificial Intelligence, Information Technology, or a related field.

At least 1 year of professional experience in AI solution development, preferably in a consulting environment.

Proven ability to communicate complex AI concepts to stakeholders at all levels, including non-technical audiences.

Proficient in developing advanced AI solutions using Azure Cognitive Search and familiar with integrating Cognitive Search with OpenAI.

Demonstrated capability in building data pipelines and orchestrating AI processes using Azure Semantic Kernel and related technologies.

Expertise in Python programming, with a strong emphasis on writing efficient, declarative code using advanced techniques such as comprehensions and object-oriented programming.

In-depth knowledge and hands-on experience in prompt engineering, retrieval-augmented generation, and Azure ML including Prompt Flow.

Experience with Vector Databases, Microsoft AI Builder, and familiarity with Azure Bot Services.

Knowledge of building and deploying bots using Microsoft Copilot Studio.

Experience in developing solutions with Azure AI Services including Decision, Languages, Speech, Vision, and Document Intelligence is a plus.

Knowledge of relational and dimensional database structures, theories, principles, and practice, as well as data engineering skills and experience is a plus.

Experience with Data Science tools, technologies, and techniques (R, Python, algorithms) and Azure Machine Learning is a plus.

Ability to learn new concepts and software and a driving passion to learn new technologies.

Ability to communicate effectively in both a technical and non-technical manner.

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