Senior AI Solutions Engineer

ACENET TECHNOLOGIES; Abu Dhabi; On-site; AED 441,000 - 661,000; Full time

Benefits offered by this job

ESOPs

International assignments

Competitive compensation

Job summary

AceNet Consulting is seeking a Senior AI Solutions Engineer in Abu Dhabi to design, develop, and deploy enterprise-grade AI solutions. You will work with cross-functional teams to deliver scalable and secure AI applications, adhering to architecture governance and coding standards.

The role requires 6-8 years of AI/ML and solution architecture experience, strong coding skills in Python/Java/C++, and hands-on Azure cloud expertise.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, or a related field.
• 6-8 years of experience in AI, Machine Learning and Solution Architecture.
• Strong programming expertise in Python, Java, or C++.
• Hands-on experience with Microsoft Azure and AI cloud services.
• Experience with AI frameworks and platforms including OpenAI APIs, LangChain, Hugging Face and Foundry.
• Knowledge of data architecture, ETL pipelines, and enterprise data integration.
• Experience integrating AI solutions with Salesforce CRM, CMS platforms, data lakes and RESTful APIs.
• Strong understanding of AI security, governance, privacy and architecture best practices.

Responsibilities

• Design, architect and implement scalable AI and ML solutions for enterprise applications.
• Develop AI-powered applications using modern AI frameworks and cloud technologies.
• Build and integrate AI solutions with enterprise platforms, data lakes, APIs and business apps.
• Collaborate with stakeholders to understand requirements and deliver AI solutions.
• Ensure scalability, security, reliability and performance through governance and best practices.
• Design data pipelines supporting AI/ML workloads.
• Integrate AI models with enterprise systems via REST APIs and middleware.
• Leverage cloud platforms, containers and DevOps for AI deployment.
• Mentor teams and contribute to architecture reviews and coding standards.
• Stay updated with emerging AI technologies and recommend innovations for transformation.

Skills

Python

Java

C

AI & ML

Solution Architecture

REST APIs

DevOps

Leadership

Education

Bachelor's or Master's in CS/AI/Engineering

Tools

Azure Cloud Services

Docker

Kubernetes

LangChain

Hugging Face

Foundry

Salesforce CRM

CMS platforms

Job description

AceNet Consulting is looking for a highly skilled Senior AI Solutions Engineer with 6 8 years of experience in Artificial Intelligence Machine Learning and Solution Architecture The ideal candidate will be responsible for designing developing and deploying enterprise-grade AI solutions that address complex business challenges You will work closely with cross-functional teams to build scalable secure and high-performing AI applications while ensuring adherence to architecture governance coding standards and best practices.

Key Responsibilities

• Design architect and implement scalable AI and Machine Learning solutions for enterprise applications
• Develop AI-powered applications using modern AI frameworks and cloud technologies
• Build and integrate AI solutions with enterprise platforms data lakes APIs and business applications
• Collaborate with business stakeholders architects data engineers and development teams to understand requirements and deliver innovative AI solutions
• Ensure solution scalability security reliability and performance through architecture governance and technical best practices
• Design and implement data pipelines supporting AI and machine learning workloads
• Integrate AI models with enterprise systems using REST APIs and middleware technologies
• Leverage cloud platforms containerization and DevOps practices for AI solution deployment
• Mentor technical teams and contribute to architecture reviews code quality and engineering standards
• Stay updated with emerging AI technologies and recommend innovative approaches for business transformation

Required Skills

• Bachelor s or Master s degree in Computer Science Artificial Intelligence Engineering or a related field
• 6 8 years of experience in AI Machine Learning and Solution Architecture
• Strong programming expertise in Python Java or C
• Hands-on experience with Microsoft Azure and AI cloud services
• Experience with AI frameworks and platforms including OpenAI APIs LangChain Hugging Face and Foundry
• Strong understanding of Machine Learning algorithms Deep Learning data processing and enterprise AI solutions
• Experience with cloud infrastructure Docker Kubernetes and DevOps practices
• Knowledge of data architecture ETL pipelines Microsoft Fabric Data Lakehouse concepts and enterprise data integration
• Experience integrating AI solutions with Salesforce CRM CMS platforms data lakes and RESTful APIs
• Strong understanding of AI security governance privacy and architecture best practices
• Excellent analytical problem-solving communication and stakeholder management skills
• Good to HaveExperience with Reinforcement Learning Natural Language Processing NLP or Computer Vision
• Knowledge of AI ethics responsible AI and bias mitigation strategies
• Experience working in enterprise-scale digital transformation initiatives
• Leadership experience mentoring technical teams and driving architectural decisions

Why Join Us

• Opportunities to work on transformative projects and cutting-edge technologies with leading global organizations
• Continuous investment in learning upskilling and professional development
• Competitive compensation benefits ESOPs and international assignment opportunities
• Supportive work environment with a strong focus on work-life balance and employee well-being
• Open and collaborative culture that values innovation diversity and individual contributions

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, or a related field. 6 8 years of experience in AI, Machine Learning, and Solution Architecture. Strong programming expertise in Python, Java, or C++. Hands-on experience with Microsoft Azure and AI cloud services. Experience with AI frameworks and platforms including OpenAI APIs, LangChain, Hugging Face, and Foundry. Strong understanding of Machine Learning algorithms, Deep Learning, data processing, and enterprise AI solutions. Experience with cloud infrastructure, Docker, Kubernetes, and DevOps practices. Knowledge of data architecture, ETL pipelines, Microsoft Fabric/Data Lakehouse concepts, and enterprise data integration. Experience integrating AI solutions with Salesforce CRM, CMS platforms, data lakes, and RESTful APIs. Strong understanding of AI security, governance, privacy, and architecture best practices. Excellent analytical, problem-solving, communication, and stakeholder management skills. Good to HaveExperience with Reinforcement Learning, Natural Language Processing (NLP), or Computer Vision. Knowledge of AI ethics, responsible AI, and bias mitigation strategies. Experience working in enterprise-scale digital transformation initiatives. Leadership experience mentoring technical teams and driving architectural decisions.