Senior AI Engineer – Commercial, Pricing, Marketing & Operations AI

Location: Lahore / Full Time / Project Based Company: Go Airport Parking (Multi-Airport, Multi-Franchise Network)

About The Role

We are building one of the most advanced AI-driven commercial, pricing, marketing, and operations platforms in the airport services industry — fully embedded inside our PHP backend system.

This is not a research role and not a chatbot-only role. This is a hands-on, production engineering role where you will build real-time:

• ✅ Dynamic pricing & demand forecasting

• ✅ Competitor price & market intelligence

• ✅ Multi-channel marketing optimisation

• ✅ Franchisee performance & risk detection

• ✅ Website conversion & behavioural AI

• ✅ AI-based Call Centre (DRT & CRS) automation

You will be responsible for turning 10+ years of live booking, pricing, marketing, behavioural, and operational data into a fully autonomous AI decision system.

This is a career-defining role for the right candidate.

Core Responsibilities1. Commercial & Pricing AI (Core Revenue Engine)

• Build airport-level demand forecasting models

• Implement safe dynamic pricing automation with:

• Seasonal break-even floors

• CPC-based price protection

• Competitor price response logic

• Design price elasticity models per airport & service

• Create price A/B test engines and revenue optimisation loops

(References: Dynamic Pricing & Commercial AI Roadmap)

2. Marketing & Multi-Channel Budget Optimisation

• Integrate and analyse:

• Google Ads

• Meta (Facebook/Instagram)

• Bing & Yahoo Ads

• Email (Mailchimp)

• SMS & Affiliates

• Build AI-driven budget allocation models per airport

• Link pricing ↔ CPC ↔ conversion rate ↔ occupancy

• Predict ROAS per date, per airport

(References: Marketing & Commercial Intelligence Roadmap)

3. Competitor & Market Intelligence

• Build automated competitor price monitoring

• Track:

• Ad copy changes

• Landing page prices

• Promotions & discount cycles

• Detect price shocks & undercut risks

• Support new airport & new city expansion modelling

(References: Competitor & Market Intelligence Systems)

4. Franchisee Performance, Risk & Fraud Detection

• Implement Franchisee Performance Scoring Engine (FPS)

• Build:

• Driver risk prediction

• Complaint spike detection

• SLA decline detection

• Refund & late-fee leakage analysis

• Support automated franchisee intervention systems

(References: Franchisee AI & Risk Systems)

5. Website Behaviour, Conversion & Personalisation AI

• Build real-time:

• Price sensitivity detection

• Abandonment prediction

• Dynamic UX personalisation

• Funnel optimisation AI

• Integrate:

• GA4

• Google Tag Manager

• Custom behavioural event streams

• Power live layout reordering & CTA optimisation

(References: Advanced Website Conversion AI System)

6. AI Call Centre (DRT & CRS Automation)

• Lead AI implementation for:

• Real-time arrival & return call handling

• Late fee calculation & secure collection

• Booking modifications

• Refunds & complaints intake

• Integrate:

• Voice AI

• Telephony APIs

• Payment gateways

• Support 70–90% automated call resolution

(References: AI Call Centre Roadmap)

Technical Stack You Will Work With

• Primary Backend: PHP (embedded AI integration)

• AI / ML: Python, forecasting models, optimisation systems

• Databases: MySQL / PostgreSQL

• Marketing APIs:

• Google Ads API

• Meta Ads API

• Bing Ads API

• Mailchimp API

• SMS Gateways

• Tracking & Behaviour:

• GA4

• GTM

• Custom JS event streams

• Voice & Payments:

• Realtime Voice APIs

• Twilio / SIP / VoIP

• Stripe / Opayo

✅ Required Experience

We are not looking for juniors.

You must have:

• ✅ 2+ years in production AI / data engineering

• ✅ Strong Python for data modelling & automation

• ✅ Proven experience with:

• Time-series forecasting

• Pricing optimisation

• Marketing attribution models

• Fraud / anomaly detection

• ✅ API integration experience with:

• Advertising platforms

• Analytics platforms

• Payment systems

• ✅ Ability to design safe AI automation with hard business constraints

• ✅ Experience working alongside traditional backend teams (PHP, MySQL)

✅ Absolutely Essential

• You must understand business, not just models

• You must be comfortable owning systems end-to-end

• You must be able to explain AI decisions to non-technical management

• You must design with safety, logging, overrides, and compliance

Package & Incentives

• Highly competitive salary (based on experience)

• Long-term role in a scaling international infrastructure

• Direct influence on pricing, revenue, margin & expansionm

Why This Role Is Different

• You are not building a demo

• You are building a live commercial brain controlling revenue, pricing, marketing, operations & support

• You will influence:

• How much customers pay

• Where the company expands next

• How franchisees are ranked and controlled

• How support is automated across the network

This is a real AI leadership role, not a research sandbox.

Job Type: Full-time

Pay: Rs150,000.00 - Rs200,000.00 per month

Work Location: In person