AI Practice & Innovation Lead

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

Job summary

A leading company in technology solutions is seeking an AI Practice Lead to spearhead their AI initiatives. This role involves creating innovative AI use cases and driving cross-functional collaboration while ensuring compliance and best practices. The ideal candidate will bring extensive experience in AI/ML leadership and possess strong engineering skills to influence AI solutions for diverse industries.

Qualifications

• 10+ years in technology/consulting and 4+ years in AI/ML leadership.
• Hands-on proficiency in Agentic AI tools.
• Strong understanding of cloud requirements for AI workloads.

Responsibilities

• Define and execute the vision and roadmap for AI adoption.
• Lead the AI Center of Excellence and drive collaboration.
• Evaluate AI use cases based on business impact.

Skills

AI presales

Solution architecture

Communication

Project risk prediction

Data governance

Tools

PyTorch

TensorFlow

MLflow

Azure ML

scikit-learn

OpenCV

Job description

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

• 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
• 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
• 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 :
• 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
• 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

Data & Ops : MLflow, Airflow, Hugging Face, Weights & Biases

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