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
Bachelor's or Master's 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