AI Practice & Innovation Lead

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

Job summary

A technology services company in Dubai is looking for an AI Practice Lead to spearhead AI initiatives across various business lines. The ideal candidate will have over 10 years of experience in technology, including leadership roles in AI. This position is critical to shaping the overall AI strategy and innovation at the company, requiring strong skills in AI solution architecture and presales. Competitive salary and benefits included.

Qualifications

• 10 years in technology or consulting with 4 years in AI/ML leadership.
• Proven success in building AI/ML solutions from scratch.
• Hands-on proficiency in ML frameworks and LLMs.

Responsibilities

• Define and execute the vision and roadmap for AI adoption.
• Lead the AI Center of Excellence (CoE).
• Partner with teams to propose AI solutions.

Skills

AI presales

Solution architecture

Machine Learning (ML)

Computer Vision

Cloud and infrastructure knowledge

Excellent communication skills

Tools

TensorFlow

PyTorch

OpenCV

Docker

Kubernetes

MLflow

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 Intertec's 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, and 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