Lead Engineer (AI, Platforms & Integration)

Meegaan Consulting; Dubai; On-site; AED 260,000 - 600,000; Full time

Job summary

A consulting firm in UAE is seeking a skilled engineer to lead the design and delivery of enterprise solutions. Ideal candidates should have a strong background in software engineering with a focus on AI-enabled solutions and platform integrations. They will work closely with clients, guiding them through technical discussions and overseeing the implementation of scalable, secure solutions. This is a unique opportunity for those who thrive in client-facing roles and possess solid communication skills.

Qualifications

• 6–10 years of overall software engineering or solution engineering experience.
• Hands-on experience with APIs, webhooks, and event-driven architectures.
• Proven ability to lead technical discussions and present solutions.
• Hands-on experience with platforms like Microsoft Power Platform, Copilot, or Workato.
• Experience building/integrating solutions using APIs, webhooks, and event-driven architectures.
• Working knowledge of AI concepts and LLMs.
• Proven ability to lead technical discussions with clients and stakeholders.
• Strong communication, problem-solving, and ownership mindset.

Responsibilities

• Lead end-to-end solution design and implementation across applications.
• Guide teams on best practices for design, performance, and security.
• Contribute to technical roadmaps and long-term platform strategy.
• Guide teams on design, performance, security, and maintainability best practices.
• Apply AI/LLMs to enhance workflows and decision-making.
• Oversee integrations across SaaS apps, APIs, and enterprise systems.
• Contribute to technical roadmaps and long-term platform strategy.

Skills

Strong engineering background

Client engagement

Solution delivery

System design

AI concepts

Problem-solving

Ownership mindset

Education

Bachelor’s and/or Master’s degree in Computer Science, Engineering, or related field

Tools

Microsoft Power Platform

Copilot

Workato

Azure

AWS

Job description

This position requires a strong engineering background combined with experience in AI-enabled solutions, platform integrations, and direct client engagement.

Job Description

The ideal candidate will lead the design and delivery of enterprise solutions that combine software engineering, AI capabilities, system integrations, and platform-based implementations. You will work closely with clients, product teams, and engineers to translate business requirements into
scalable, secure, and maintainable solutions.

The Ideal Candidate Will

• Lead end-to-end solution design and implementation across applications, integrations, and platforms
• Architect and develop solutions using a mix of custom engineering, automation tools, and AI services
• Work directly with clients to understand requirements, propose technical solutions, and drive delivery
• Guide teams on best practices for design, performance, security, and maintainability
• Apply AI and LLM capabilities to enhance workflows, decision-making, and user experiences
• Oversee integrations across SaaS applications, APIs, and enterprise systems
• Contribute to technical roadmaps and long-term platform strategy

Requirements

• Bachelor’s and/or Master’s degree in Computer Science, Engineering, or a related field
• 6–10 years of overall software engineering or solution engineering experience
• Strong fundamentals in system design, object-oriented concepts, and integration patterns
• Hands-on experience with one or more platforms such as Microsoft Power Platform, Copilot, Workato, or similar tools
• Experience building and integrating solutions using APIs, webhooks, and event-driven architectures
• Working knowledge of AI concepts and large language models (LLMs)
• Proven ability to lead technical discussions and present solutions to clients and stakeholders
• Strong communication, problem-solving, and ownership mindset

Nice to Have

• Experience with cloud platforms such as Azure or AWS
• Exposure to Azure OpenAI, Copilot Studio, or similar AI platforms
• Background in consulting or client-facing delivery roles
• Experience mentoring engineers or leading small technical teams

If you are a well-rounded engineer who enjoys owning solutions, working with clients,
and applying modern platforms and AI to real-world problems, this is the right opportunity for you.

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