Senior AI Engineer

Hybrid Schedule: 1 day in office per week minimumOverviewWe are seeking a Senior AI Engineer to serve as a senior technical expert in the architecture, development, administration, and support of enterprise AI solutions. This role will work across a multi-cloud AI environment, leveraging technologies from Microsoft, AWS, Google Cloud, and other major AI and foundation-model providers.The Senior AI Engineer will help organizations use AI to automate workflows, improve business processes, and increase operational efficiency. This position combines hands-on AI engineering with platform administration, security, governance, and integration. The ideal candidate can work independently, translate business needs into practical technical solutions, and stay current with rapidly evolving AI technologies.DutiesDesign, implement, administer, and optimize enterprise AI platforms and services across multiple cloud providers.Develop AI-powered workflow automation and business process solutions using platforms such as Microsoft Copilot, Copilot Studio, Power Platform, AWS Bedrock, SageMaker, and similar technologies.Partner with business and technical stakeholders to identify opportunities for AI-driven automation and translate requirements into scalable solutions.Build integrations between AI services, cloud platforms, APIs, automation tools, and approved third-party applications.Establish technical standards, governance practices, development processes, and lifecycle management strategies for enterprise AI.Implement security, information governance, data protection, and compliance controls for AI-enabled environments.Provide advanced troubleshooting and technical support for complex AI platform and integration issues.Research emerging AI technologies, models, and platform capabilities and recommend opportunities for adoption.Develop technical documentation and provide guidance and knowledge sharing to other IT professionals.Required SkillsBachelor's degree in Computer Science, Information Technology, or a related field and 3+ years of relevant experience, or an equivalent combination of education, certifications, and technical experience.Strong experience engineering or administering enterprise AI platforms and cloud technologies.Experience developing AI solutions, workflow automation, and business process improvements.Knowledge of AI security, information governance, authentication, and data protection practices.Strong scripting and automation skills.Experience integrating cloud services and applications through APIs or other integration technologies.Ability to independently research, evaluate, design, and implement complex technical solutions.Strong communication skills, including the ability to explain technical concepts to business stakeholders and leadership.Preferred SkillsExperience with enterprise AI assistants and agent development, such as Microsoft Copilot Studio, Amazon Bedrock Agents, or comparable platforms.Experience with Microsoft Foundry, AWS Bedrock, SageMaker, Google Vertex AI, or similar enterprise AI services.Advanced experience with low-code and enterprise automation platforms, including environment strategy, connectors, data platforms, governance, and application lifecycle management.Experience with APIs and cloud development technologies such as Microsoft Graph API, Azure Functions, AWS Lambda, or comparable services.Familiarity with foundation models and providers such as OpenAI, Anthropic, and Meta Llama.Experience developing secure, governed AI solutions across multiple cloud environments.