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 join its People Tech & AI team. The team focuses on designing, building, and operating scalable, secure, and intelligent platforms that enable AI-powered employee and client experiences.
Leadership and Professional Expectations
- Analyze and identify linkages and interactions between the component parts of complex systems.
- Take ownership of projects, ensuring successful planning, execution, and completion.
- Partner with team leadership to maintain collective ownership of quality, timelines, and deliverables.
- Develop skills outside areas of existing expertise and encourage others to do the same.
- Effectively mentor and develop team members.
- Use work reviews as opportunities to deepen the expertise of engineers.
- Address conflicts and issues effectively, including engaging in difficult conversations with clients, team members, and stakeholders when appropriate.
- Uphold professional and technical standards, organizational codes of conduct, and applicable independence requirements.
- Lead with integrity and authenticity while promoting technology, innovation, and continuous improvement.
Key Responsibilities
- Mentor junior engineers and foster their professional and technical growth.
- Lead engineering teams responsible for cloud-native services and AI-enabled platforms.
- Maintain the security, scalability, reliability, and performance of AI-powered solutions.
- Collaborate with cross-functional teams to achieve strategic technology and project objectives.
- Work with product owners, UX, data science, and security teams to translate People Tech & AI use cases into scalable platform capabilities.
- Manage delivery plans, project dependencies, risks, timelines, and technical deliverables effectively.
- Operate production platforms with a strong focus on reliability, security, and operational excellence.
- Define and enforce automated testing strategies across engineering solutions.
- Apply systems thinking to design and deliver comprehensive end-to-end platforms.
- Stay current with emerging AI technologies and incorporate relevant innovations into platform development.
- Architect, 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 the development of cloud-native services and AI-enabled platforms aligned with organizational technology strategies.
- Foster a culture of engineering excellence, collaboration, innovation, and continuous learning.
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 experience may be substituted for each missing year of college, in addition to the minimum required years of experience.
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, risks, and project execution.
- 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 and technology use cases into scalable platform capabilities.
- Experience defining and enforcing automated testing strategies.
- Hands-on experience architecting, building, and deploying conversational bots using Azure Bot Framework SDK and Composer.
- Experience integrating Azure Cognitive Services, including LUIS and Orchestrator.
- Experience integrating conversational AI solutions with enterprise channels such as Microsoft Teams, Web Chat, and Direct Line.
- Experience leading platform engineering teams delivering 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.
