Ai Engineer Jobs

About The Position

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Data Science, or a related field; an equivalent combination of education and relevant experience may be considered.
• At least 3 years of experience in software development, systems architecture, cloud architecture, data engineering, or related technology roles.
• Proven experience designing and implementing cloud-based solutions.
• Experience designing, implementing, or supporting Artificial Intelligence, Machine Learning, Generative AI, Copilot, or Large Language Model solutions.
• Demonstrated experience leading technical projects and providing architectural guidance across cross-functional teams.
• Experience with one or more major cloud platforms; Microsoft Azure is preferred.
• Experience with AI and generative AI technologies, including LLMs, RAG, AI agents, prompt engineering, and vector databases.
• Experience integrating enterprise applications using APIs, web services, and cloud services.
• Experience with relational and non-relational databases and data platforms.
• Experience with modern programming languages such as C#, Python, Java, or similar; C# is preferred.
• Understanding of cybersecurity, identity management, data protection, privacy, and compliance requirements.
• Experience building solutions using Microsoft Copilot and Azure Foundry.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to translate business objectives into technical solutions.
• Ability to present recommendations and architectural designs to technical and executive audiences.
• Proven ability to lead technical discussions, influence stakeholders, and drive technology adoption.
• Ability to sit in front of a computer for extended periods.

Nice To Haves

• Experience with Microsoft Azure.
• Experience with C#.

Responsibilities

• Partner with business and technology leaders to identify, assess, and prioritize AI opportunities that improve efficiency, productivity, and business results.
• Lead the architecture, design, and delivery of enterprise AI solutions using large language models, AI agents, generative AI, machine learning, Microsoft Copilot, Azure AI services, and related technologies.
• Analyze business processes and workflows to determine where AI, automation, agents, predictive analytics, or traditional software solutions can deliver value.
• Work with software engineering teams to integrate AI capabilities into existing applications, APIs, mobile solutions, and business systems.
• Design and oversee RAG solutions, intelligent search platforms, and AI-powered assistants built on enterprise data sources.

Benefits

• 401(k) match
• Performance Rewards and Profit Sharing
• Health care, including medical, dental, and vision coverage
• Discounted worldwide flight benefits and free available open seating for employees and their families on Delta, United, Alaska, and American