AI Lead (Hindi Speaking)

Confidential Company; Dubai; On-site; AED 400,000 - 800,000; Full time

Job summary

Confidential Company is seeking an experienced AI Product Leader to own the roadmap across our multi-model platform, deciding what to build next based on user needs and business impact.

You will develop internal tools and productized AI solutions for existing clients while expanding to the broader market. This role requires 10+ years in product leadership, with strong emphasis on governance, data residency, and enterprise sales.

Qualifications

• 10+ years in software/AI product roles with leadership experience.
• Experience owning AI products from concept to enterprise adoption.
• Proven ability to manage multi-provider AI platforms and cost budgets.
• Strong understanding of compliance, data residency and audit trails.

Responsibilities

• Owns the product roadmap across the platform and decides what gets built next based on real user needs.
• Builds solutions for internal tools and productized AI offerings for clients and broader market.
• Partners with account teams to ensure AI solutions are deployed in client accounts.
• Builds and maintains the multi-model routing layer and agentic tooling.
• Manages data pipelines, scraping, and data acquisition sources.
• Sets compliance bar for source-cited data and grounding before client delivery.

Skills

Multi-model systems

Applied LLM

Cost budgeting

Agentic/tool calls

Data scraping

Compliance knowledge

Data residency

Product ownership

Enterprise sales

Portfolio management

Tools

API integration

Scraping pipelines

Proxied data collection

Job description

Key Responsibilities

Owns the product roadmap across the platform and decides what gets built next based on real usagerather than matching whatever competitors are advertising Works closely with the team the team responsible for product development for clients and Radix sinternal processes to translate their requirements into working built solutions Builds solutions for two parallel tracks a internal tools and processes used by Radix teams on the floor and b productized AI solutions delivered to existing clients and positioned for the broader market Partners with account client teams to ensure AI solutions built for internal use are successfully adaptedand deployed for existing client accounts where relevant Builds and maintains the multi-model routing layer and agentic tooling directly especially in the earlystage before there s a team to hand it to Builds and maintains the scraping and data acquisition pipelines that feed the platform sourcing fromthe open web structuring it and keeping it running as sites change and break things Manages API keys and provider relationships across LLM platforms and data sources provisioning rotation cost tracking and knowing when a provider needs to be swapped out Sets the compliance bar audit trail humanin-the-loop data residency as a build requirement fromday one not something added later for a specific deal Personally checks that anything described as source-cited or grounded actually is before it reaches aclient especially in banking or healthcare Hires and grows the team as the platform

Reporting

No direct reports on day one this person is expected to build and hire underneath themselves as theworkload justifies it Not responsible for day-to-day client account management or campaign execution

Job Requirements

Multi-model systems8+ years in software or AI product/engineering, at least 3 of those hands on with applied LLM systems.Has actually been on call for a multi provider system when something broke a provider updated amodel and behavior drifted, output schemas stopped matching across providers, a primary providerwent down and fallback logic had to kick in. Fixed it themselves, not just filed a ticket.Has owned or been directly accountable for an inference cost budget, not just aware that costs exist.3+ years working hands-on with agentic or tool calling setups (MCP or similar), has debugged abroken agent step or a failed tool call personally.Data acquisition and scrapingCan build and maintain scrapers against sites that don't want to be scraped handling rate limits,rotating proxies/headers, structural changes that break selectors, and the general maintenanceburden of scraping at all.Understands the legal and compliance edges here robots.txt, ToS, copyright, and what changes whenpersonal data is involved (this matters more in the GCC given PDPL/SDAIA), and knows when to flagsomething rather than just building it.Has built a data pipeline end to end: scrape or pull from an API, clean it, store it, and get it into a formthe product actually uses , not just a one-off script that ran once.Product ownership10+ years total in product, including 4+ years at Head of Product, VP Product or CPO level.Has taken an AI product from nothing to real paying customers or enterprise logos not a prototype,not an internal tool.5+ years selling into or building for enterprise buyers, long sales cycles, procurement, security review.Consumer or SMB backgrounds don't map well here.Has run a multi product portfolio (5+ live products) on shared infrastructure and knows how to say noto half of it.Compliance and grounding5+ years working inside enterprise compliance constraints, audit logs, human-in-the-loop approval