Early-Career Artificial Intelligence Engineer

Role Overview

• Design and lead AI-based/digital solutions and services, selecting optimal architectures aligned with the company’s cloud, data, and security standards.
• Design, develop, test, deploy, support and enhance new or off-the-shelf secure AI and ML models, including Retrieval-Augmented Generation (RAG), tailored to domain-specific deliverables and company initiatives.
• Build the Generative AI platforms, systems and infrastructure and apply general knowledge of software development and infrastructure as code practices
• Automate engineering data analysis processes using Python, VBA, Microsoft PowerAutomate, Microsoft Copilot, Azure AI, and other similar scripting languages/platforms.
• Design, develop, and maintain interactive and responsive data visualization components using React, TypeScript, or similar frameworks/libraries.
• Develop Python scripts for data analysis and automation of engineering analysis.
• Integrate front-end components with back-end APIs and services for seamless data interactions.
• Ensure UI/UX best practices to improve user experience and workflow efficiency.
• Develop, manage, and maintain relational database applications for data storage and retrieval, ensuring performance, scalability, and security.
• Implement and maintain RESTful APIs and backend services to support frontend applications.
• Lead solution architecture for priority AI use cases, including hands-on design, technical decision-making, and architecture reviews.
• Identify technical, security, data, and delivery risks associated with AI solutions and implement appropriate mitigation strategies.
• Embed Responsible AI principles into solution designs, including privacy, security, transparency, and model risk management.
• Maintain a strong awareness of the latest trends in AI/ML and their applications to engineering consulting and related industries, ensuring that the company remains at the forefront of technological advancements.
• Provide training and support to internal teams on AI/ML technologies and best practices, fostering a culture of continuous learning and innovation.
• Maintain comprehensive documentation for all AI/ML projects, including design specifications, solution diagrams, implementation plans, and user guides.
• Responsible for coordinating transportation to and from the office; and local travel or driving to project sites as needed.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Science or related field. (required)
• Proven experience in developing and deploying AI/ML models, with a strong understanding of RAG models and its implementation using LLMs. (required)
• Proficiency with vector stores, semantic search, and related technologies. (required)
• Knowledge of fine-tuning techniques for LLMs to adapt them to specific tasks and domains is required. (required)
• Familiarity with other AI and ML technologies such as reinforcement learning, computer vision, or recommendation systems. (preferred)
• Experience with or ability to learn and work with Microsoft Azure services, Microsoft Foundry, Azure OpenAI, Copilot Studio, Power Platform, cognitive search, vector databases, and API integrations (preferred).
• Strong understanding of identity, networking, data governance, and security within cloud-based environments. (required)
• Demonstrated ability to lead technical design discussions, manage stakeholders, and discuss with engineering teams. (required)
• Valid U.S. driver’s license and a satisfactory driving record for business travel.(required)
• Health & Safety training, medical monitoring, and client-driven drug and background testing may be required by clients for specific project needs.

Tech Stack

• Azure
• Cloud
• Python
• React
• TypeScript
• VBA

Benefits

• Competitive pay and benefits
• Well-being programs to support you and your family