Artificial Intelligence (AI) Engineer
Responsibilities:
• 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.
Qualifications:
• 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.
Compensation
$180,000.00-$220,000.00 YearlyAbout Us
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