Project / Delivery Manager - AI Agents

About Lucidya

Lucidya is building the next generation of AI-powered customer experience solutions for enterprises across the MENA region. Our new AI Agents business line focuses on deploying intelligent, enterprise-grade AI agents that automate, assist, and augment customer-facing and operational workflows - securely, reliably, and at scale.
This role sits at the heart of turning AI agent concepts into live, business-impacting solutions.
About the Role
The Project / Delivery Manager owns one critical question:
“How do we execute what we promised?”
You take the Solution Consultant’s vision and turn it into a clear execution plan, structured backlog, and predictable delivery rhythm - from initial scoping through go-live and stabilization.
You are the operational backbone of AI agent pilots and enterprise deployments, ensuring alignment across clients, engineering, data, and AI teams while keeping delivery on track.
Key Responsibilities
1. Scoping & Handover from Solution Consultant
You step in once a pilot or project is conceptually approved.
Formal Handover

Receive full delivery context, including:

Discovery findings

Workflow maps and agent logic

Success criteria and KPIs

Pilot narrative and client expectations

Clarify:

Scope, constraints, dependencies, and assumptions

Technical and operational boundaries

Scope Confirmation

Translate high-level workflows into clear delivery components:

AI Agent versions (v0, v1, v2…)

Integrations, channels, and data sources

Dashboards, reporting, and monitoring

Training, enablement, and documentation

Align internally and with the client on:

What is in scope vs out of scope for each phase

2. Detailed Planning & Backlog Management
This is where ideas become execution.
You own:

Building the delivery plan and timeline:

Milestones, sprints, and go-live checkpoints

Cross-team dependencies (AI, backend, integrations, data, CX ops)

Creating and maintaining the delivery backlog:

Break down deliverables into tasks and subtasks

Assign clear owners (AI Agent Engineers, Backend, Frontend, Data, Solutions)

Keeping tools accurate and trusted:

Trello / Jira / Notion as the single source of truth

Task status, blockers, due dates, and changes

3. Coordination & Day-to-Day Execution
You are the operational heartbeat of each pilot or project.
Responsibilities include:

Running regular execution cadences:

Standups and check-ins

Progress reviews and decision syncs

Ensuring tight collaboration between:

Solution Consultants (business & workflows)

Engineering and AI teams (implementation)

Client stakeholders (CX, IT, Operations, Compliance)

Driving execution discipline:

Clear meeting notes

Action items with owners and deadlines

Relentless follow-up until closure

4. Risk, Change & Stakeholder Management
AI agent delivery comes with moving parts - you own visibility and control.
You will:

Maintain a risk & issues log covering:

Technical risks (data access, integrations, latency, environments)

Business risks (scope creep, stakeholder shifts, external dependencies)

Manage change transparently:

Assess impact on scope, timelines, and delivery

Align with stakeholders before execution

Provide clear, consistent communication:

Status updates

Escalations when needed

Expectation management throughout the lifecycle

5. UAT, Go-Live & Post-Go-Live Stabilization

Plan and coordinate:

UAT cycles and acceptance criteria

Go-live readiness and rollout plans

Ensure smooth transition:

Monitor early performance and issues

Coordinate fixes and optimizations

Own final handover:

Documentation

Support transition

Clear ownership post-delivery

Requirements

5-8 years in:

SaaS implementation

Technical project management

Digital or platform delivery

3+ years delivering enterprise projects with multiple stakeholders (business & IT)

Proven experience with:

Integrations, APIs, and data-driven workflows

Background in CX, contact centers, CRM, or customer-facing platforms is a strong plus

Experience working closely with product and engineering teams in Agile/Scrum environments

Must-Have Skills
Project & Delivery Excellence

Strong command of:

Scoping, timelines, milestones

RAID (Risks, Assumptions, Issues, Dependencies)

Confident running:

Standups, execution reviews, steering meetings

Technical Literacy (Non-Coding)

Comfortable with:

API-based integrations and webhooks

Data flows between systems

Able to:

Read basic API documentation and JSON payloads

Translate technical constraints into delivery decisions

Solid conceptual understanding of:

SaaS platforms

LLMs and AI agent workflows

Stakeholder Management & Communication

Can confidently manage:

CX leadership

IT and engineering teams

Internal product and AI stakeholders

Produces:

Clear documentation

Actionable recaps

Concise, honest status updates

Execution Mindset

Turns ideas into:

Tasks, owners, and deadlines

Keeps delivery tools always current and reliable

Strong sense of ownership and follow-through

AI Project Awareness

Comfortable with:

Iterative AI delivery (experiments, versions, evaluation cycles)

Data privacy, guardrails, and quality metrics

Understands that AI delivery is adaptive, not linear

Why Join Lucidya’s AI Agents Team

Work at the intersection of AI, CX, and enterprise delivery

Shape how AI agents are deployed in real-world, high-impact environments

Partner with strong product, AI, and engineering teams

Own delivery end-to-end - not just coordination

Help define delivery standards for a brand-new AI business line

Apply Now and help us redefine the future of Customer Experience with AI Agents.
Originally posted on Himalayas