Artificial Intelligence (AI) Engineer

• Create, implement, and launch enterprise AI applications using Amazon Web Services and related cloud technologies.
• Develop scalable AI infrastructure with services such as Amazon Bedrock, SageMaker, EC2, S3, Lambda, API management tools, orchestration services, and monitoring platforms.
• Architect AI environments that prioritize security, resilience, performance, and cost control for enterprise use cases.
• Build and support reusable AI capabilities that can be adopted across multiple business applications and future informatics efforts.
• Engineer solutions powered by large language models, retrieval-augmented generation, AI agents, and contemporary AI development frameworks.
• Deliver intelligent assistants, enterprise and semantic search tools, knowledge management capabilities, and document understanding solutions.
• Design AI-driven automation that improves workflows and streamlines day-to-day business operations.
• Integrate AI platforms with Microsoft and enterprise technologies, including Azure OpenAI, Microsoft 365 Copilot, Copilot Studio, SharePoint Online, Microsoft Teams, and Microsoft Graph.
• Develop APIs and connected services that link AI platforms with scientific applications, cloud ecosystems, and business systems.

• Contribute to AI governance, lifecycle management, observability, and the evaluation of emerging technologies while helping define enterprise standards and best practices. Requirements - Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related technical field.
• At least 5 years of experience delivering enterprise AI, machine learning, or cloud-based solutions.
• Proven background building production applications that use modern large language models and related AI frameworks.
• Hands-on experience designing and deploying AI solutions across AWS and Microsoft technology environments.
• Ability to integrate AI applications with enterprise platforms and, preferably, scientific software systems.
• Strong analytical thinking, system design capability, communication skills, and troubleshooting ability.
• Demonstrated success collaborating with technical teams, business stakeholders, and organizational leadership.
• Familiarity with machine learning technologies such as TensorFlow, computer vision, detection models, and broader AI engineering practices. Technology Doesn’t Change the World, People Do., All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

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