Remote Senior Manager - AI Platform Delivery at Jobgether

Prior Lake, Minnesota, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

0.0

Posted On

11 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure AI Foundry, Cloud-Native Development, DevOps, AI Governance, Data Privacy, Regulatory Compliance, Infrastructure-As-Code, Terraform, LLM Models, Prompt Engineering, Technical Communication, Mentoring, Cross-Functional Collaboration, Automation, Platform Performance Monitoring, Cost Optimization

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Delivery Platform Manager - REMOTE. In this crucial role, you will drive the AI strategy by ensuring the successful delivery and operational excellence of enterprise AI platforms. Your focus will be on managing platform lifecycles, governance, and adoption, while collaborating with AI Architects, Product Managers, and various stakeholders. You will oversee the delivery of scalable, secure, and compliant AI solutions, directly impacting a global healthcare organization. \n Accountabilities Own end-to-end delivery of AI platform capabilities using Azure AI Foundry and related AI services. Define and enforce delivery standards, SLAs, and compliance requirements. Oversee implementation of AI governance policies, including risk assessments for data privacy and regulatory compliance. Collaborate with AI Architects, ML engineers, and internal stakeholders to ensure successful deployments. Mentor engineers and coordinate cross-functional squads to foster innovation. Partner with AI delivery leaders to define priorities, success metrics, and delivery timelines. Monitor platform performance, reliability, and cost optimization. Drive automation for deployment, scaling, and incident response. Contribute to AIPS strategic planning, sprint execution, and release management. Promote platform adoption through training, documentation, and stakeholder engagement. Requirements Bachelor’s degree in Computer Science, Engineering, Data Science, or related field. 5+ years of experience in platform or application solution delivery, with at least 2 years in a leadership role. Proven experience in cloud-native development (Azure preferred) and DevOps. Strong understanding of AI governance and responsible AI practices. Familiarity with infrastructure-as-code tools such as Terraform. Experience with Azure AI Foundry, LLM models, and prompt engineering. Ability to communicate technical concepts effectively in a fast-paced environment. Benefits Competitive salary and benefits package. Support for emotional, financial, and social wellness. Training programs and professional development resources. Paid parental leave and caregiver leave. Opportunities for mentorship and volunteer activities. A highly inclusive culture that encourages personal growth. \n Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Responsibilities

The Senior Manager will drive the AI strategy by ensuring the successful delivery and operational excellence of enterprise AI platforms. This includes managing platform lifecycles, governance, and adoption while collaborating with various stakeholders.