Senior AI Engineer

Hybrid Schedule: 1 day in office per week minimum

Overview

We 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.

Duties

• Design, 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 Skills

• Bachelor'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 Skills

• Experience 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.