AI Engineer

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. 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.