AI Practice & Innovation Lead

Intertec Softwares; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading tech company in Dubai is seeking an AI Practice Lead to spearhead AI initiatives across various sectors. The ideal candidate will define and implement the AI strategy, work with diverse teams, and drive innovative solutions to transform client engagements and internal processes, ensuring cutting-edge practices are adopted. This is a strategic role that offers an opportunity to influence AI operations in a robust and growing environment.

Qualifications

• 10+ years in technology, 4+ years in AI/ML leadership.
• Hands-on experience with ML and AI frameworks.
• Excellent at client engagement and solution development.

Responsibilities

• Define and execute AI vision and roadmap.
• Lead AI Center of Excellence and development teams.
• Partner with teams to propose innovative AI solutions.

Skills

AI presales

Solution architecture

Communication

Cloud requirements for AI

Tools

TensorFlow

PyTorch

OpenCV

Azure AI

AWS Sagemaker

Docker

Kubernetes

Job description

Role Overview

Intertec Systems is seeking a visionary and execution-focused AI Practice Lead to lead our AI initiatives across all lines of business including Digital Managed Services Cloud EAM Cybersecurity and Microsoft solutions.

This role will own the charter to define build and scale innovative AI use cases leveraging Machine Learning (ML) Computer Vision Agentic AI and AI Agents for:

• Client solutions (presales PoCs proposals)
• Internal business transformation
• Product roadmap acceleration

This individual will lead the AI Center of Excellence (CoE) and work closely with Business Units Technology Teams and Clients.

Key Responsibilities

Strategy & Leadership

• Define and execute the vision and roadmap for AI adoption at Intertec across functions
• Lead the AI CoE and drive cross-functional collaboration with presales delivery product and marketing teams
• Evaluate and prioritize AI use cases based on business impact and feasibility

Solution Development & Presales

• Partner with sales and account teams to ideate and propose AI solutions in RFPs and client engagements
• Build PoCs reference architectures and solution accelerators using ML Computer Vision NLP and Generative AI
• Translate business problems into AI opportunities across verticals like Government Healthcare Utilities BFSI and Real Estate

Use Case Design & Development

• Identify AI opportunities within Intertecs products and client platforms (e.g. service desk automation asset intelligence anomaly detection fraud detection)
• Drive implementation of Agentic AI (LLM-based task automation) multi-agent frameworks (e.g. CrewAI LangGraph) and intelligent workflows
• Leverage cloud-native AI tools (Azure AI AWS Sagemaker Google Vertex AI)

Innovation & R&D

• Evaluate emerging AI technologies LLMs vector databases and open-source models
• Pilot AI use cases internally (finance automation talent intelligence project risk prediction etc.)
• Keep the organization at the forefront of GenAI multi-modal AI and enterprise AI trends

Governance & Enablement

• Define best practices MLOps standards data governance frameworks
• Train and upskill teams in AI tooling and architecture
• Ensure responsible AI practices ethical design and regulatory compliance

Required Skills & Experience

Must-Have Skills

• 10 years in technology or consulting with 4 years in AI/ML leadership
• Strong experience in AI presales and solution architecture (client-facing)
• Hands-on proficiency in:
• ML frameworks (TensorFlow PyTorch scikit-learn)
• LLMs (OpenAI Mistral Claude open-source transformers)
• Computer Vision (YOLO OpenCV segmentation models)
• Agentic AI tools (LangChain CrewAI AutoGen RAG LlamaIndex)
• Proven success building AI/ML PoCs solutions or products from scratch
• Familiar with vector databases RAG architecture prompt engineering and LLM orchestration
• Excellent communication skills with the ability to influence both technical and non-technical stakeholders
• Strong understanding of cloud and infrastructure requirements for AI workloads including:
• GPU types and capacity planning (e.g. A100 H100 T4)
• AI-optimized storage and high-throughput systems
• Deployment environments (Docker Kubernetes VM instances)
• Cost/performance analysis across Azure AWS GCP
• MLOps tools and scalable model deployment architectures

Preferred/Bonus

• Experience with enterprise platforms (Microsoft Oracle ServiceNow Salesforce) and integrating AI
• Knowledge of MLOps and deployment pipelines (MLflow Kubeflow Azure ML Sagemaker)
• Experience leading AI practices in mid-sized or regional IT services companies
• Exposure to AI compliance and Responsible AI frameworks

Tools & Technologies

ML & CV: PyTorch TensorFlow scikit-learn OpenCV YOLO Detectron2

LLMs & Agents: OpenAI Anthropic LangChain CrewAI LlamaIndex Haystack

Deployment: Azure AI AWS Sagemaker Vertex AI Docker Kubernetes

Data & Ops: MLflow Airflow Hugging Face Weights & Biases

Vector DBs: FAISS Pinecone Chroma Qdrant

What Youll Influence

• Shape the AI GTM strategy for Intertec
• Elevate client conversations from solutioning to innovation
• Help Intertec become an AI-first systems integrator