Senior AI Engineer

Responsibilities

Implementing AI solutions through people, processes, and technology

Facilitate customer education and ideation workshops focused on developing use cases and implementing modern AI/ML solutions.

Consulting with stakeholders to identify opportunities for AI integration, advising on best practices, and tailoring AI strategies to meet business objectives

Defining project requirements clearly, designing robust solution architectures, and ensuring alignment with business goals and technical capabilities

Leading the development and implementation of AI-driven solutions, managing the entire AI project lifecycle, including data collection, model training, deployment, and monitoring. Demonstrated expertise in Microsoft Azure AI services and proficiency in leveraging OpenAI technologies is essential

Facilitating cross-functional collaboration, working closely with technical and non-technical teams to deliver outstanding service to customers and ensure the successful integration of AI solutions into business processes

Staying updated on the latest advancements in AI and Generative AI, and advising teams on integrating cutting-edge techniques, to enhance project outcomes and drive innovation

Minimum Requirements

Bachelor’s degree in computer science, artificial intelligence, data science, or a related field

Proven client facing experience, translating complex requirements into actionable AI solutions that meet business objectives

5 years of professional software engineering experience in Azure and Python

3 years of experience with relational and nonrelational databases such as SQL Server, PostgreSQL, Cosmos DB, MongoDB, etc.

2 years demonstratable experience with Azure AI solution design and production delivery,highlighting proficiency in natural language processing (NLP), retrieval augmented generation (RAG), and Azure AI Services (OpenAI, Speech, Vision, etc.) using tools like Azure AI Foundry, prompt flow, and Copilot Studio.

Production experience with Azure AI platform, and the implementation of enterprise solutions

Experience with open-source models, fine-tuning, advanced prompt engineering, responsible AI practices, and managing an organization’s models

Preferred Qualifications

Professional software engineering experience in C#.net

Full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

Developing cloud software services and an understanding of design for scalability,performance, and reliability in Azure

Ability to support go-to-market content with technical support and present AI related research to customers and at events

Experience with DevOps tools and processes such as Azure DevOps, GitHub, Docker and Kubernetes