Manager, IT Service Delivery (AI/ML Platform Services)

Entergy Corporation
New Orleans, LA, United States
7 days ago
Apply on www.techcareers.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Computing Platforms Cloud Computing Cloud Engineering Cyber Security Information Systems Knowledge Management Software Product Management Azure Machine Learning System Availability Information Technology Cloud Optimization

Job description

The Manager, AI/ML Platform Services is a key technical leadership role within the IT Platform organization, providing support to the AI organization and other internal users of the AI/ML platform. This position is responsible for leading a team of platform engineers and software engineers who maintain, operate, and enhance the enterprise AI/ML platform infrastructure and own the production environment for products running on the platform. The manager ensures the platform is reliable, predictable, cost effective and secure while supporting the AI products built by the AI organization.

Operating within a traditional IT support model, the manager will establish and maintain effective handoff processes with the AI organization, ensuring seamless transition of AI products from development to operational support. The manager will collaborate with AI product teams to understand platform requirements and ensure the infrastructure meets the needs of AI solutions deployed across the enterprise.

The primary responsibility of the Manager, AI/ML Platform Team is to lead and develop a team of engineers focused on platform operations, maintenance, and continuous improvement. The manager will ensure service level agreements are met, incidents are resolved efficiently, and the platform remains stable and secure. This role requires strong technical expertise in cloud infrastructure and AI/ML platforms combined with excellent operational and people management skills.

Job Duties/Responsibilities

1.

Platform Operations and Maintenance: Oversee the day-to-day operations of the AI/ML platform, ensuring high availability, reliability, and performance of all platform services. Monitor platform health, manage capacity planning, and ensure systems meet established service level agreements. Coordinate scheduled maintenance windows and platform updates with minimal disruption to AI product operations.

2.

Support and Incident Management: Establish and manage incident response processes for platform-related issues. Define escalation paths and ensure timely resolution of support tickets. Maintain on-call rotations and ensure 24/7 coverage for critical platform issues. Track and report on support metrics including response times, resolution rates, and customer satisfaction.

3.

Team Leadership and Development: Lead, mentor, and develop a team of platform and software engineers. Foster a culture of operational excellence, continuous learning, and customer service. Conduct regular performance reviews, identify training needs, and support career development for team members. Build a collaborative team environment that values quality and responsiveness.

4.

AI Organization Partnership: Serve as the primary point of contact between the IT Platform organization and the AI organization for platform-related matters. Participate in AI product planning discussions to understand upcoming platform requirements. Establish and maintain effective handoff processes for transitioning AI products from development to operational support.

5.

Cloud Cost Management: Monitor and optimize cloud infrastructure costs associated with the AI/ML platform. Implement cost controls and resource optimization strategies. Provide regular reporting on cloud spend and identify opportunities for cost reduction while maintaining platform performance and reliability.

6.

Security and Compliance: Ensure the AI/ML platform meets security requirements and compliance standards. Collaborate with IT security, internal audit, and cyber security teams to maintain security controls. Support security audits and implement remediation actions as needed. Ensure platform configurations align with enterprise security policies.

7.

Documentation and Knowledge Management: Maintain comprehensive documentation for platform configurations, operational procedures, and troubleshooting guides. Ensure knowledge transfer processes are in place for onboarding new team members and supporting AI organization users. Create and maintain runbooks for common operational tasks and incident response.

8.

Continuous Improvement: Identify and implement improvements to platform stability, performance, and operational efficiency. Automate routine operational tasks where possible. Stay current with platform technologies and recommend upgrades or enhancements that improve supportability and reliability.

Requirements

Bachelor’s Degree in Computer Science, Information Systems, or related technical field. Master’s degree preferred.

Minimum experience required of the position

7+ years of experience in IT infrastructure, cloud platforms, or platform engineering.

3+ years of experience leading and mentoring technical teams.

Experience with cloud-based AI/ML platforms and infrastructure strongly preferred.

Utility industry experience is a plus.

Minimum knowledge, skills and abilities required of the position

General Capabilities

Excellent written and verbal communication skills.

Strong customer service orientation and stakeholder management skills.

Ability to manage multiple priorities in a fast-paced environment.

Strong analytical and problem-solving skills.

Mentoring and coaching capabilities with focus on team development.

Experience managing operational budgets and vendor relationships.

Skills and Abilities

Functional Knowledge

Understanding of IT service management frameworks (ITIL or similar).

Experience operating in a shared services or support model.

Ability to translate technical concepts for non-technical stakeholders.

Leadership

Demonstrated ability to lead and develop high-performing technical teams.

Experience establishing operational processes and standards.

Willingness to be hands-on when needed while developing team capabilities.

Problem Solving

Strong troubleshooting skills for complex technical issues.

Ability to perform root cause analysis and implement preventive measures.

Experience managing incidents and driving timely resolution.

Interpersonal Skills

Strong collaboration skills with ability to work effectively across organizational boundaries.

Customer-focused mindset with commitment to service excellence.

Ability to build and maintain productive working relationships with AI organization partners.

About the company

Additional Responsibilities: As a provider of essential services, Entergy expects its employees to be available to work additional hours, to work in alternate locations, and/or to perform additional duties in connection with storms, outages, emergencies, or other situations as deemed necessary by the company. Exempt employees may not be paid overtime associated with such duties., As a provider of essential services, Entergy expects its employees to be available to work additional hours, to work in alternate locations, and/or to perform additional duties in connection with storms, outages, emergencies, or other situations as deemed necessary by the company. Exempt employees may not be paid overtime associated with such duties.

Please note: Authorization to work in the United States is a precondition to employment in this position. Entergy will not sponsor candidates for work visas for this position.

Job Segment: Service Manager, Cloud, Cyber Security, Internal Audit, Computer Science, Customer Service, Technology, Security, Finance

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.techcareers.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

4:11 min

Introduction to cloud-native application developer security

Micah Silverman · World Congress 2022

2:27 min

Introduction to WebAssembly in a cloud computing context

Edo Edo · World Congress 2024

1:23 min

Closing thoughts and educational resources for edge network engineering

Austin Gil · LIVE

2:11 min

Designing comprehensive service layers for artificial intelligence adoption

Alexander Birke Alexander Birke +1 · World Congress 2024

3:44 min

Current industry adoption and future security initiatives

Alexander Allmendinger · LIVE

Videos

See all

Related articles

See all