Senior AI Projects Delivery Manager

Amotion delivers AI solutions to enterprise clients across Middle East, India and Southeast Asia. This role owns the end-to-end delivery of AI projects by managing our vendor network, translating client business requirements into technical specifications, and ensuring projects ship on time, on scope, and on budget.

Beyond delivery management, this role is responsible for building our internal AI delivery capabilityprogressively reducing vendor dependency by hiring, training, and upskilling an in-house team that can take on increasingly complex project work directly.

You will sit at the intersection of client-facing pre-sales support, technical delivery execution, and organizational capability building.

Key Responsibilities

Client & Requirements Management

Engage directly with enterprise clients to understand business problems, use cases, and success criteria

Translate client requirements and expectations into structured technical specifications, solution architectures, and scoping documents that vendors and internal teams can execute against

Manage client expectations on timelines, deliverables, and technical feasibility

Support pre-sales activities by providing technical credibility and effort estimates during deal shaping

Vendor & Delivery Management

Own the selection, onboarding, and performance management of AX's AI delivery vendors

Define clear SOWs, acceptance criteria, and delivery milestones for each vendor engagement

Run project governancestandups, milestone reviews, escalation managementacross multiple concurrent projects

Ensure vendor output meets AX quality standards and client expectations before delivery

Technical Translation & Oversight

Maintain working knowledge of AI/ML solution patterns: conversational AI, document intelligence, predictive analytics, copilot/agent architectures, and data platform modernization etc.

Review vendor-proposed architectures and technical approaches for feasibility and alignment with client needs

Understand Hyperscaler AI services, LLM integrations, Copilot stack, and SAP AI capabilities sufficiently to bridge business and technical conversations

Identify technical risks early and drive mitigation with vendors and internal teams

Internal Capability Building

Assess current internal team skills against project demand patterns and identify critical capability gaps

Design and execute a structured upskilling roadmapcovering AI/ML fundamentals, Hyperscaler AI services, prompt engineering, and solution architectureto enable internal teams to progressively take over delivery from vendors

Define role profiles and hiring requirements for building a lean internal AI delivery bench

Create reusable delivery assets: project templates, technical spec frameworks, solution accelerators, and QA checklists that codify delivery knowledge internally

Establish a vendor-to-internal handoff modelwhere vendors initially lead, then co-deliver, then support while internal teams take the lead

Implement a train-the-trainer model where vendor engagements include explicit knowledge transfer to internal staff

Required Qualifications

5+ years in IT services delivery, solution delivery management, or technical project managementpreferably in AI, data, or cloud domains

Demonstrated ability to translate business requirements into technical specifications.

Experience managing third-party vendors or offshore/nearshore delivery teams

Working fluency in AI/ML concepts: LLMs, RAG, fine-tuning, embeddings, prompt engineering, data pipelines

Familiarity with Hyperscaler (Cloud) ecosystem

Strong client-facing communication skills in enterprise B2B contexts

Experience building or scaling delivery teamshiring, training, and mentoring technical staff in services environments

Track record of creating structured knowledge transfer or upskilling programs

Preferred Qualifications

Experience in the Microsoft partner ecosystem or working with Microsoft-sourced pipeline

Exposure to SAP integration projects or ERP modernization

Background in pre-sales or solution consulting alongside delivery

PMP, Prince2, or Agile certifications

What Success Looks LikeAt 90 Days

Independently managing 35 concurrent AI projects from requirements through delivery

Completed an internal skills audit and presented a capability-building roadmap with clear milestones for reducing vendor dependency

Client-facing without supervisionrunning status calls, managing escalations, presenting deliverables

Identified and begun onboarding at least 12 internal hires or upskilling candidates into AI delivery workflows

At 6 Months

Internal delivery playbooks and templates are operational and being used across projects

A functioning train-the-trainer model where vendor engagements include explicit knowledge transfer to internal staff

Vendor bench is curated and tieredstrategic partners for complex work, internal team handling standard implementations

Expected CTC - INR 25L to 30 L per annum