Artificial Intelligence Engineering Manager

Description

Position Summary

The AI Engineering Manager (Productivity Intelligence) leads solution onboarding of 3rd party AI solutions, engineering and integration into existing productivity productions, model use development/registration, and performance metrics/reporting aligned to AI responsible use. This role involves guiding teams, collaborating with stakeholders, and ensuring the successful implementation of AI models using on-premise and cloud environments. Key responsibilities include providing technical expertise, managing projects, and staying abreast of the latest advancements in AI and cloud technologies.

This role requires an experienced manager, who is responsible for building and leading a team to deliver technology products and services that meet business outcomes. Their primary responsibility is to the people they manage, ensuring they are developing through coaching, mentoring, feedback, and hands on career development. Other key responsibilities may include developing a technology strategy and ensuring technology solutions comply with applicable standards. This role advocates and advances modern, Agile solution delivery practices and evangelizes great design, engineering, and organizational practices.

This includes:

• Responsible for 3rd party (i.e., Microsoft, Google, AWS, Adobe) infrastructure and control engineering, management, and support of global services with careful regard to availability, connectivity, performance, compliance, and security.

• Provide expert guidance on AI\LM, including architecture, development, and deployment best practices.

• Responsible for 3rd level model development and design registration for Productivity products containing AI and LMs.

• Participate and oversee efforts in audits related to global AI/LM + machine learning products and services.

• Have deep understanding of Microsoft and Azure AI/LMs services, including Copilot Studio, Copilot Chat, M365 Copilot, MS Defender, MS Purview, Enterprise Data Protection, Azure Responsible AI.

• Support business and client group requirements for access, and solution administration.

• Help define test strategies for migrations and translations of configurations to mitigate outages and loss of service.

• Monitor and optimize the performance of AI solutions, ensuring they meet business requirements and SLAs.

• Help define and develop project plans (Define, roughly create, status and update).

• Work with a project team (Project Managers, Product Manager, System Administrators, Architects, and Stakeholders) in a high communication standard manner.

• Write technical documents, and alter existing technical documents

• Will be working in detailed change management processes and configuration processes.

• Identify and mitigate potential risks associated with AI projects, including data privacy, security, and ethical considerations.

Required Qualifications

• 5+ years of experience with managing high output data science or solution engineering team.

• 7+ years of experience with AI/LLM and machine learning design, testing, implementing, evaluating regulatory requirements, and maintaining robotics/automation services.

• 3+ years of knowledge with Microsoft, AWS, Google AI\LM technologies.

• Strong proficiency in engineering solutions for global highly regulated financial or healthcare industry platforms.

• Knowledge of enterprise-wide design concepts, test plan development, and implementation processes.

• Knowledge of the Microsoft 365 Cloud ecosystems, incl. services and technologies such as Azure, Purview, Defender, M365 Admin Center, etc.

• Working networking knowledge, DHCP, TCP/IP, WINS, subnetting, firewalls.

• Experience with creating engineering blueprints, detailed designs and author documents and test plans.

• Self-starter, critical thinker with proven ability to deal with granular requirements yet see things holistically and strategically.

• Effectively contribute to design and development of solutions through the entire product lifecycle.

• Effective at time management so as to deliver quality solutions on time.

• Strong troubleshooting and problem-solving skills.

• Ability to shift and pivot with changing responsibilities.

• Strong interpersonal skills with excellent verbal and written communication, able to communicate effectively to senior leadership.

• Comfortable sharing ideas and concepts in a highly collaborative team.

• Have experience with ITIL foundational and Agile process methodologies.

• English Speaking/Writing.

• Excellent written and verbal skills.

• Strong dedication to quality customer service.

• Excellent analytical and problem-solving skills.

• Exceptional organizational and analytical skills with high attention to detail.

• Possess a personal sense of urgency and the ability to handle a fast-paced environment.

• Ability to work with business and technical teams to build requirements and technical artifacts.

Desired Qualifications

• Knowledge and application of controls to meet regulatory requirements including responsible use of AI/LMs.

• Expert in Copilot Studio, including agent onboarding and compliance, supervision, security controls.

• Expert in Copilot Chat, M365 Copilot, including compliance, supervision, and security controls.

• Knowledge of Azure Open AI, Chat-GPT, and Microsoft LM Orchestration Engine.

• Knowledge of Adobe Firefly capabilities and controls.

Shift:

1st shift (United States of America)

Hours Per Week:

40