-
Imbibe Consultancy Services Pvt Ltd

AI Solutions Lead

Imbibe Consultancy Services Pvt Ltd
United Arab Emirates · Full-time · Mid-Senior

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 leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy & architecture, digital transformation, data engineering & analytics, AI/ML, cloud & infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet’s marquee clients include Tier-1 and Tier-2 banking & financial services, asset & wealth management, healthcare, consumer retail, eCommerce & logistics, engineering, government & public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon & Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.

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.

Role Requirements And Qualifications

  • 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.

Preferred Experience

  • 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)

Why Join Us

  • 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.

How To Apply

If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.

Key Skills

Ranked by relevance

ai machine learning cloud containerization computer vision microservices deep learning restful apis salesforce tensorflow kubeflow pytorch docker mlflow kafka hipaa spark mlops gdpr cicd etl crm c
Login to Apply
Posted
Dec 08, 2025
Type
Full-time
Level
Mid-Senior
Location
Abu Dhabi

Industries

IT Services IT Consulting

Categories

Sales Business Development

Related Jobs

3 roles aligned with this opportunity

View all jobs
View Job Details
Imbibe Consultancy Services Pvt Ltd
Related

AI Engineer

2026-01-14

Full-time
Entry
United Arab Emirates
IT Services
Engineering
View Job Details
Imbibe Consultancy Services Pvt Ltd
Related

Full Stack Developer

2026-02-11

Full-time
Entry
United Arab Emirates
IT Services
Engineering
View Job Details
Imbibe Consultancy Services Pvt Ltd
Related

Azure AI/ML Architect

2025-11-04

Full-time
Mid-Senior
United Arab Emirates
IT Services
Design