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AI Lead - 6 Months Contract

HaysDubai, UAE3 days agoMid-Seniorcontract
AWSAzureGitGoScala
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Via LinkedIn·

About This Role

As an AI Solution Lead , you will own the end‑to‑end solution design of a next‑generation agentic AI platform , defining how AI agents, multi‑modal models (text, vision, voice), and digital health services come together into a scalable, compliant product across multiple markets and jurisdictions.

This role sits at the intersection of product strategy and technical execution . You will set architectural direction, lead an external delivery team, challenge design decisions, prototype solutions, and present technical trade‑offs to senior leadership. This is not a pure strategy role —you are expected to go deep technically to ensure feasibility and architectural coherence while aligning with business OKRs.

Key Responsibilities

Solution Architecture & Agentic AI Design

  • Own the end‑to‑end solution design covering:
  • Agent orchestration and multi‑agent workflows
  • RAG pipelines and tool‑use patterns
  • Agent memory management (short‑term context, long‑term retrieval, episodic memory, and memory lifecycle policies)
  • Design scalable, maintainable architectures that balance cost, latency, accuracy, and relevance .

Model Strategy & Build‑vs‑Buy Decisions

  • Evaluate and select foundation models across:
  • Cloud‑hosted platforms (e.g., Azure AI Foundry, AWS Bedrock)
  • Locally hosted deployments (e.g., vLLMs)
  • Make informed build‑vs‑buy decisions , considering:
  • Performance and cost
  • Deployment constraints
  • Data sovereignty and regulatory needs
  • Drive adoption of Vision Language Models (VLMs) for document understanding, image analysis, and visual reasoning.

Voice & Multi‑Modal AI Design

  • Define the voice AI strategy , selecting and integrating STT/TTS solutions (e.g., OpenAI Whisper, Chatterbox, Vibe Voice, or equivalent).
  • Ensure voice is treated as a first‑class interaction modality , deeply integrated into agent workflows.
  • Design multi‑modal experiences that combine text, vision, and voice within a unified product.

Compliance, Privacy & Multi‑Jurisdiction Design

  • Embed regulatory requirements by design (GDPR, PDPA, and local data regulations).
  • Ensure solution designs support multi‑market deployments without retrofitting compliance later.
  • Evaluate and apply privacy‑preserving techniques as appropriate.

Integration & Interoperability

  • Define and align the integration architecture with group standards.
  • Enable coordination between:
  • Specialist agents (e.g., insurance resolution, health services, triage)
  • External partner systems and third‑party tools
  • Evaluate emerging agent interoperability standards (A2A, MCP, open tool‑use protocols) and sequence adoption based on delivery capacity and regulatory constraints.

Technical Leadership & Delivery

  • Provide hands‑on technical leadership to external/vendor delivery teams.
  • Translate product strategy and business OKRs into sequenced technical roadmaps .
  • Review agent workflows, challenge assumptions, and catch architectural risks early.
  • Balance innovation with BAU delivery.

Stakeholder Management

  • Lead and present technical strategy, progress, and trade‑offs to CXOs and senior leadership.
  • Drive alignment and decision‑making across product, engineering, and data teams.
  • Proactively remove dependencies and delivery bottlenecks across squads.

Technical Requirements

  • 5–7+ years in solution design, technical product ownership, or senior applied AI roles.
  • Production experience with agentic AI frameworks (e.g., AutoGen, CrewAI, PydanticAI, LangChain/LangGraph).
  • Proven experience designing and shipping multi‑agent systems (beyond prototypes).
  • Strong applied AI foundation:
  • Traditional ML (model evaluation, feature design)
  • Modern LLM patterns (RAG, prompt engineering, agent orchestration, agent memory design)
  • Working knowledge of:
  • Vision Language Models (VLMs)
  • Voice AI models and integration patterns (STT/TTS)
  • AI observability and evaluation tools (e.g., Langfuse, LangSmith)
  • Familiarity with agent interoperability protocols (A2A, MCP, or equivalent).
  • Experience designing multi‑modal AI solutions .
  • Proven ability to lead external or vendor teams .
  • Strong executive communication skills with the ability to explain technical trade‑offs to non‑technical stakeholders.
  • Immediate Joiner - Required

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