Position Details: Director _ AI Technology Leader Digital : Artificial Intelligen

Description:

Job Description:

• We are seeking an experienced and visionary AI Technical Leader to drive the design, development, and deployment of AI, GenAI and machine learning solutions within our LSHCERU business group. This role bridges the gap between advanced AI technologies and business objectives, ensuring practical, scalable, and secure implementations that align with enterprise strategy.
• The ideal candidate combines deep technical expertise with strategic thinking, strong leadership capabilities, and the ability to influence cross-functional teams including senior customer stakeholders at CxO level.

 

Key Responsibilities

AI Strategy and Architecture

• Define and lead the AI technology roadmap aligned with organizational goals.
• Evaluate and select appropriate AI/ML frameworks, platforms, and tools.
• Design scalable architectures for AI model training, deployment, monitoring, and governance.
• Develop AI/GenAI use cases specifically to cater for business problems within the Life science, Healthcare, Energy & Resources, Utilities business domains
• Establish GTM initiatives based on market specific needs and business domain problems

 

Technical Leadership

• In-depth knowledge of the AI/GenAI/ML technology landscape and various solutions
• Guide teams of data scientists, ML engineers, software developers, and IT professionals.
• Ensure best practices in AI/ML development including code quality, MLOps, data security, and ethical AI.
• Lead POCs (proof of concept) and pilot projects to test and validate AI solutions. 

Cross-Functional Collaboration

• Partner with account stakeholders, customer teams, third party technology vendors to ensure alignment and integration of AI initiatives.
• Collaborate with DevOps and cloud teams to deploy AI services on platforms such as AWS, Azure, or GCP. 

Solutions Oversight 

• Oversee AI project lifecycles, ensuring timely delivery, budget alignment, and value realization. 
• Manage risks associated with AI systems including bias, compliance, data privacy, and performance. 

Innovation and R&D 

• Stay abreast of the latest AI trends and research to identify opportunities for innovation. 
• Promote a culture of continuous learning and experimentation within the AI team 

Required Skills and Qualifications 

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field (Ph.D. a plus). 
• 15+ years of experience in software engineering or IT roles, with at least 5 years in AI/ML leadership. 
• Strong hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn. 
• Proficiency in Python, and knowledge of data engineering tools like Spark, Airflow, or Kafka. 
• Experience with cloud-native AI solutions (AWS SageMaker, Azure ML, GCP Vertex AI). 
• Solid understanding of data governance, security, and MLOps best practices. 
• Strong problem-solving, communication, and stakeholder management skills. 
• Experience mentoring and managing technical teams.

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