Job Description
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
A leading global professional services organization is seeking an AI Engineering Manager to lead the design, development, and operation of scalable, secure, and intelligent technology platforms. The role focuses on combining cloud infrastructure, conversational AI, data, and enterprise systems to create AI-powered employee and client experiences.
Leadership and Professional Expectations
- Analyze and identify relationships and interactions between the components of complex systems.
- Take ownership of projects, ensuring effective planning, budgeting, execution, and completion.
- Partner with team leadership to maintain collective ownership of quality, timelines, and deliverables.
- Develop skills outside existing areas of expertise and encourage team members to do the same.
- Effectively mentor and develop other professionals.
- Use work reviews as opportunities to strengthen team members’ expertise.
- Address conflicts and issues constructively with clients, team members, and stakeholders.
- Uphold professional and technical standards, organizational codes of conduct, and applicable independence requirements.
The Opportunity
As part of the People Tech & AI team, the AI Engineering Manager will lead the design, development, and operation of scalable, secure, and intelligent platforms that enable AI-powered employee and client experiences.
The role combines engineering expertise with people leadership to deliver resilient platforms integrating cloud infrastructure, conversational AI, data, and enterprise systems. The manager will also mentor engineers, promote technical excellence, and contribute to the strategic direction of AI solutions.
Key Responsibilities
- Mentor junior engineers and foster their professional and technical growth.
- Maintain the security, scalability, and reliability of AI-powered solutions.
- Collaborate with cross-functional teams to achieve technical and business objectives.
- Stay current with emerging AI technologies and engineering practices.
- Lead the development of cloud-native services and AI-enabled platforms.
- Manage delivery plans, dependencies, risks, and project execution.
- Operate production platforms with a strong focus on reliability and security.
- Collaborate with product owners, UX professionals, data scientists, and security teams to translate People Tech & AI use cases into scalable platform capabilities.
- Define and enforce automated testing strategies.
- Design, build, and deploy conversational bots using Azure Bot Framework SDK and Composer.
- Integrate Azure Cognitive Services, including LUIS and Orchestrator, with enterprise communication channels such as Microsoft Teams, Web Chat, and Direct Line.
- Lead platform engineering teams delivering cloud-native and AI-enabled services aligned with organizational technology strategies.
Required Qualifications
- Bachelor’s degree.
- At least 6 years of experience in software, platform, or cloud engineering, including people leadership.
- In lieu of a Bachelor’s degree, three years of specialized training and/or progressively responsible technology work experience may be demonstrated for each missing year of college, in addition to the minimum experience required for the role.
Preferred Qualifications
- Master’s degree preferred.
- Proven experience leading cloud and platform engineering teams.
- Hands-on experience with Azure, DevOps, and enterprise integration patterns.
- Strong systems-thinking capabilities for designing end-to-end platforms.
- Experience coaching and mentoring engineers while fostering a culture of technical excellence.
- Experience managing delivery plans, dependencies, and risks effectively.
- Experience operating production platforms with a focus on reliability and security.
- Experience collaborating with product owners, UX, data science, and security teams.
- Experience translating AI use cases into scalable platform capabilities.
- Experience defining and enforcing automated testing strategies.
- Experience architecting and deploying conversational AI solutions using Azure Bot Framework SDK and Composer.
- Experience integrating Azure Cognitive Services and enterprise communication channels.
- Experience leading engineering teams responsible for cloud-native services and AI-enabled platforms.
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals globally.
- No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
- No Client Relationship: This company is not a client of SpringCube unless stated.
- To Apply: Click the Apply button to be redirected to the hiring company’s application page for this job.
- No Liability: SpringCube is not liable for inaccuracies.
