AI Delivery Manager

We are seeking a high-impact AI Delivery Manager to lead the end-to-end execution of advanced AI initiatives including Generative AI Computer Vision Digital Twin platforms and real-time behavioral intelligence systems.

This role is responsible for translating AI strategy into production-grade deployments ensuring alignment between business objectives data pipelines model lifecycle and operational delivery. The ideal candidate will bring a strong blend of technical depth program leadership and stakeholder management with experience delivering mission-critical AI solutions in regulated or high-security environments.

Key Responsibilities

Lead end-to-end delivery of AI/ML programs from concept POC to production deployment

• Manage cross-functional teams including Data Scientists ML Engineers Software Developers and DevOps

• Define project scope timelines milestones and ensure delivery within budget and SLAs

• Translate business requirements into scalable AI solutions (Generative AI Computer Vision Digital Twin RAG pipelines)

• Oversee full AI lifecycle management: data ingestion model development validation deployment and monitoring

• Ensure alignment with MLOps practices including CI/CD model versioning and performance tracking

• Drive deployment across cloud (Azure preferred) on-prem and edge environments

• Establish and monitor KPIs such as model accuracy latency system uptime and adoption metrics

• Implement AI governance and compliance frameworks (NIST AI RMF data privacy security standards)

• Act as primary liaison between business stakeholders technical teams and leadership

• Identify risks manage escalations and ensure timely issue resolution

• Support innovation initiatives client demos and proposal development

Required Qualifications

• Bachelors or Masters degree in Computer Science Data Science AI/ML or related field

• 10 years of IT delivery/program management experience with at least 5 years in AI/ML projects

• Proven track record of delivering AI solutions into production environments

• Strong understanding of:

  • Machine Learning and Deep Learning concepts

  • Generative AI / LLM ecosystems

  • Computer Vision systems

• Experience with cloud platforms (Azure preferred AWS/GCP acceptable)

• Hands-on familiarity with MLOps tools and practices (CI/CD model deployment monitoring)

• Strong knowledge of data pipelines APIs and system integration

• Experience managing agile delivery (Scrum/SAFe)

• Excellent stakeholder management and communication skills

• Ability to translate complex AI concepts into business value