AI Delivery manager

Role Summary

The Delivery Head will lead end-to-end delivery of enterprise AI solutions and software products,

encompassing client consulting, solutioning, and presales. This leadership role combines business

consulting, AI solution architecture, software engineering, delivery management, and commercial

ownership to translate enterprise business challenges into scalable, secure, AI solutions that deliver

measurable business value.

The ideal candidate will have a strong track record of engaging senior client stakeholders, leading

multidisciplinary technology teams, shaping AI-led transformation initiatives, and successfully

delivering complex enterprise software and AI programs.

Key Responsibilities Could Include

• Enterprise AI & Software Delivery: Own the end-to-end delivery lifecycle, from ideation and

solution design through development, testing, deployment, and production operations,

ensuring quality, scalability, security, and predictable execution.

• AI & Product Engineering: Oversee solutions involving generative AI, LLMs, RAG, AI agents,

machine learning, intelligent automation, and enterprise software products. Drive engineering

excellence, reusable accelerators, and scalable product capabilities.

• Delivery & Commercial Management: Manage delivery roadmaps, budgets, resource

allocation, timelines, risks, dependencies, and profitability while ensuring alignment with client

commitments and business objectives.

• Client Consulting & Business Discovery: Lead client workshops, stakeholder consultations, and

discovery sessions to understand business challenges, identify AI opportunities, define

requirements, and establish transformation roadmaps and success metrics.

• Solutioning & Presales: Translate business requirements into scalable AI and software

solutions, solution architectures, implementation roadmaps, effort estimates, proposals, and

statements of work. Lead solution presentations, proof-of-concept initiatives, and RFP/RFI

responses.

• Client & Stakeholder Leadership: Build trusted relationships with senior business and

technology leaders, manage executive reviews and escalations, and align cross-functional

teams on priorities and outcomes.

• Governance & Business Value: Ensure compliance with enterprise security, data privacy,

responsible AI, and quality standards. Track customer satisfaction, adoption, ROI, productivity

improvements, and cost optimization.

• People & Capability Development: Lead and mentor consulting, architecture, engineering,

AI/ML, and delivery teams while building organizational capabilities, best practices, and a

culture of innovation and accountability.

Required Skills & Experience

• Proven leadership experience in enterprise technology delivery, consulting, solutioning,

software product engineering.

• Strong understanding of enterprise AI, generative AI, LLMs, RAG, AI agents, cloud platforms,

software architecture, and enterprise integration.

• Demonstrated expertise in client workshops, business discovery, solution design, presales,

proposal development, and effort estimation.

• Experience managing complex programs, multidisciplinary teams, delivery governance,

budgets, and commercial outcomes.

• Excellent executive communication, stakeholder management, problem solving, and people

leadership skills.

Skills: llms,enterprise ai,rag,ai delivery,generative ai