AI Solutions Lead

Experience: 10 to 15 years

Location: Abu Dhabi

Job code: 101384

Posted on: Dec 08, 2025

About Us

AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking & financial services, healthcare, supply chain & logistics, consumer retail, manufacturing, eGovernance and other industry sectors.

We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you’re passionate about technology and thrive in a fast-paced environment, we want to hear from you.

Job Summary

We are looking for an AI Solutions Lead to support our ongoing critical project activities. The ideal candidate is responsible for lead the architecture, design, and end-to-end delivery of complex AI/ML solutions and translate business requirements into scalable and secure AI system architectures.

Key Responsibilities

• Lead the architecture, design, and end-to-end delivery of complex AI/ML solutions.
• Define and implement AI strategy in alignment with enterprise goals and digital transformation initiatives.
• Translate business requirements into scalable and secure AI system architectures.
• Oversee the development and deployment of AI/ML models in production environments.
• Guide data scientists, engineers, and developers in adopting AI best practices and technologies.
• Drive MLOps and AI lifecycle automation including model training, versioning, testing, deployment, and monitoring.
• Design AI solutions integrated with enterprise platforms (Microsoft, Salesforce, ERP, CRM, data lakes, APIs).
• Ensure responsible AI practices, including ethical considerations, bias mitigation, and regulatory compliance.
• Collaborate with C-level stakeholders and business units to assess use cases, prioritize projects, and define success metrics.
• Mentor and lead technical teams; influence architectural decisions across business units.
  
  

• AI/ML Expertise:
• Strong knowledge of machine learning, deep learning, NLP, computer vision, and generative AI.
• Hands-on experience with frameworks like TensorFlow, PyTorch, Scikit-learn, Hugging Face, OpenAI APIs.
• Architecture & System Design:
• Proven experience in designing scalable and secure cloud-native AI solutions.
• Deep understanding of microservices, APIs, event-driven architectures, and real-time inference systems.
• MLOps & DevOps:
• Experience with tools like MLflow, Kubeflow, Airflow, SageMaker Pipelines, Vertex AI Pipelines.
• Knowledge of CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).
• Data & Integration:
• Familiarity with data engineering tools (Spark, Kafka), data lakehouses (Delta Lake, Snowflake), and ETL pipelines.
• Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.
• Strong leadership experience managing multidisciplinary AI/ML teams.
• Ability to drive architecture governance, code quality, and technical standards.
• Excellent communication and presentation skills to influence technical and non-technical stakeholders.
• Strategic thinker with a passion for AI innovation and enterprise transformation.
  
  

• 10+ years of experience in software or data architecture roles, with 4–5 years focused on AI/ML.
• Track record of delivering AI projects at scale in one or more of the following domains: financial services, healthcare, government, telecom, or retail.
• Familiarity with regulatory frameworks for data and AI (e.g., GDPR, HIPAA, ISO 42001).
• Preferred Certifications:
• AWS Certified Machine Learning – Specialty
• Microsoft Azure AI Engineer Associate
• Google Professional Machine Learning Engineer
• TOGAF or other architecture frameworks (optional but valuable)
• Responsible AI or ethical AI certifications (optional)
  
  

• Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.
• Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.
• Competitive compensation & benefits, ESOPs and international assignments.
• Supportive environment with healthy work-life balance and a focus on employee well-being.
• Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.