AI Practice & Innovation Lead

دبي - الإمارات

الراتب شهرياً: لم يكشف

تاريخ النشر: نُشرت قبل 5 ساعة

عدد الوظائف الشاغرة: 1 عدد الوظائف الشاغرة

سجل للتقديم

ملخص الوظيفة

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(link removed)>

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

Role OverviewIntertec 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(link removed)>This role will own the charter to define build and scal...