Enterprise Generative AI engineer

Job Description:

Must have

Generative AI experience

Machine Learning experience

Python

RAG (retrieval augmented generation)

LLM (large language models

the client looking for a resource to help them build out their AI environment.

They currently use Copilot and ChatGPT as their “off the shelf” AI tools but are looking for someone that can build specific proprietary AI workflows to help address needs that their off the shelf tools cannot. They will be using the Azure AI Studio to build out these workflows which uses Python as the programming language. They are looking for someone that is very forward thinking and can build out an AI environment to support the specific needs of Scientists and other internal employees.

They will be doing requirements gathering through scientists and stakeholders, so they will need to have excellent communication skills in order to translate technical knowledge to non-technical employees. They need to have previous knowledge and experience with RAG (retrieval augmented generation) and LLM (large language models). They are going to prefer candidates with data engineering and cloud solutions experience. Please reach out with any questions!

Responsibilities:

1. Design, develop, and deploy private end-to-end AI chatbots and solutions leveraging GenAI / LLM models and RAG pipelines through cloud AI environments, such as Microsoft Azure AI (Copilot) Studio, OpenAI GPT, AWS SageMaker and other platforms.
2. Work closely with senior director of enterprise systems and employees to identify and define business use cases for tailored Gen AI / Copilot solutions, involving RAG, prompt engineering and document/content specification. Architect, implement and support innovative solutions to meet the business need objectives.
3. Ensure the performance, quality, and responsiveness of applications (chatbots/copilots).
4. Establish design principles, architecture standards and best practices in alignment with IT strategy. Uphold high standards for cloud security and data privacy.
5. Collaborate with cross-functional teams to identify opportunities for LLMs to enhance productivity and effectiveness to solve business needs. Propose and implement end-to-end solutions.
6. Implement feedback mechanisms to address architectural challenges and enhance utility of custom application builds.
7. Stay abreast of emerging trends and advancements in GenAI technologies and support solutions for enterprise to improve offerings and tailored solutions for business needs.

Qualifications:

1.  
   1. Bachelor’s or master’s degree in computer science, machine learning, data science, software engineering, or a related field.
   2. 5+ years experience in data science, AI/machine learning, enterprise software development, or related roles to create, implement and support advanced data science (AI/ML) and IT solutions for enterprise needs.
   3. Proven experience in AI and machine learning, including familiarity with LLMs, RAG (retrieval augmented generation) pipelines, and NLP (natural language processing) techniques.
   4. Experience with RAG (retrieval augmented generation), neural networks, Natural Language Processing (NLP), knowledge graphs (KPs) and other AI/ML approaches.
      1. Experience with API / API Management.
   5. Preference for programming skills in Python and associated ML packages.
   6. Knowledge of cloud computing concepts and experience with enterprise cloud management systems, preferably Microsoft Azure.
   7. Excellent problem-solving skills and the ability to work in a fast-paced environment.
   8. Strong communication and teamwork skills.
   9. Prior experience in biotech/healthcare enterprise data science/IT needs is preferred