Job Title: Artificial Intelligence (AI) Expert
Engagement Type: Consultant Project Management & Consulting (PMC) and Technical Support
Project Phase: Phase 3 Implementation PMC and Technical Support
Reporting To: Project Director / Client Representative
Job Summary
The Artificial Intelligence (AI) Expert will provide specialized consulting technical leadership and project management support during Phase 3 of the project. The role is responsible for overseeing the implementation integration validation and operationalization of AI and machine learning solutions ensuring alignment with approved architectures ethical standards performance requirements and project timelines through to the issuance of the Final Acceptance Certificate (FAC).
The consultant will work closely with system integrators data scientists engineers and business stakeholders to ensure AI solutions are delivered tested and production-ready.
Key Responsibilities
Project Management & Oversight
Monitor and oversee AI solution implementation activities to ensure adherence to the approved project plan scope timelines and milestones.
Support the client in tracking progress risks issues and dependencies related to AI deliverables.
Ensure compliance with contractual architectural data governance and ethical AI requirements.
AI Architecture & Solution Design
Provide expert guidance on AI/ML architecture model selection training pipelines and deployment strategies.
Review and validate AI solution designs algorithms and implementation approaches.
Ensure AI models are scalable reliable explainable and aligned with business objectives.
Model Development Validation & Performance
Oversee data preparation feature engineering model training testing and validation processes.
Review model performance metrics bias assessments and accuracy benchmarks.
Ensure continuous improvement optimization and retraining strategies are defined and implemented.
Integration & Deployment
Oversee integration of AI solutions with existing enterprise systems data platforms and applications.
Support deployment of AI models into production environments (MLOps).
Ensure monitoring version control and lifecycle management of AI models.
Governance Security & Compliance
Ensure AI solutions comply with data privacy security and regulatory requirements.
Support implementation of responsible AI practices including transparency fairness and auditability.
Review documentation related to AI governance risk management and controls.
Stakeholder Coordination
Facilitate coordination between system integrators data science teams cloud/platform teams and business stakeholders.
Participate in project meetings technical workshops design reviews and status reporting.
Act as a trusted advisor to the client on AI-related matters.
Technical Support & Issue Resolution
Identify analyze and resolve technical or operational challenges related to AI development deployment and performance.
Provide expert technical support in specialized AI domains as required during the implementation phase.
Project Completion & Acceptance
Support AI solution readiness for go-live and operational handover.
Review and validate final AI models documentation and operational procedures.
Provide guidance and oversight until successful project completion and issuance of the Completion Certificate / Final Acceptance Certificate (FAC).
Required Qualifications
Bachelors degree in Computer Science Artificial Intelligence Data Science Engineering or a related field.
Masters degree or PhD in AI Machine Learning or Data Science is highly desirable.
Relevant AI or cloud certifications are an advantage.
Experience Requirements
Minimum 6 years of experience in AI machine learning or advanced analytics roles.
Proven experience delivering enterprise-scale AI or ML solutions.
Experience working in PMC or consulting roles during implementation phases.
Strong experience with AI/ML frameworks tools and platforms.
Demonstrated experience supporting projects through go-live and Final Acceptance Certificate (FAC) stages.
Key Skills & Competencies
Strong expertise in machine learning deep learning and AI solution architecture.
Experience with MLOps model deployment and lifecycle management.
Strong understanding of data governance security and responsible AI principles.
Excellent stakeholder management communication and documentation skills.
Strong analytical problem-solving and decision-making abilities.
Deliverables
Oversight and progress reports on AI solution implementation.
Technical reviews and recommendations for AI architectures and models.
Validation of model performance compliance and operational readiness.
Support through project completion and issuance of the Final Acceptance Certificate (FAC).
Job Title: Artificial Intelligence (AI) ExpertEngagement Type: Consultant Project Management & Consulting (PMC) and Technical Support Project Phase: Phase 3 Implementation PMC and Technical Support Reporting To: Project Director / Client RepresentativeJob SummaryThe Artificial Intelligence (AI) Ex...
Job Title: Artificial Intelligence (AI) Expert
Engagement Type: Consultant Project Management & Consulting (PMC) and Technical Support
Project Phase: Phase 3 Implementation PMC and Technical Support
Reporting To: Project Director / Client Representative
Job Summary
The Artificial Intelligence (AI) Expert will provide specialized consulting technical leadership and project management support during Phase 3 of the project. The role is responsible for overseeing the implementation integration validation and operationalization of AI and machine learning solutions ensuring alignment with approved architectures ethical standards performance requirements and project timelines through to the issuance of the Final Acceptance Certificate (FAC).
The consultant will work closely with system integrators data scientists engineers and business stakeholders to ensure AI solutions are delivered tested and production-ready.
Key Responsibilities
Project Management & Oversight
Monitor and oversee AI solution implementation activities to ensure adherence to the approved project plan scope timelines and milestones.
Support the client in tracking progress risks issues and dependencies related to AI deliverables.
Ensure compliance with contractual architectural data governance and ethical AI requirements.
AI Architecture & Solution Design
Provide expert guidance on AI/ML architecture model selection training pipelines and deployment strategies.
Review and validate AI solution designs algorithms and implementation approaches.
Ensure AI models are scalable reliable explainable and aligned with business objectives.
Model Development Validation & Performance
Oversee data preparation feature engineering model training testing and validation processes.
Review model performance metrics bias assessments and accuracy benchmarks.
Ensure continuous improvement optimization and retraining strategies are defined and implemented.
Integration & Deployment
Oversee integration of AI solutions with existing enterprise systems data platforms and applications.
Support deployment of AI models into production environments (MLOps).
Ensure monitoring version control and lifecycle management of AI models.
Governance Security & Compliance
Ensure AI solutions comply with data privacy security and regulatory requirements.
Support implementation of responsible AI practices including transparency fairness and auditability.
Review documentation related to AI governance risk management and controls.
Stakeholder Coordination
Facilitate coordination between system integrators data science teams cloud/platform teams and business stakeholders.
Participate in project meetings technical workshops design reviews and status reporting.
Act as a trusted advisor to the client on AI-related matters.
Technical Support & Issue Resolution
Identify analyze and resolve technical or operational challenges related to AI development deployment and performance.
Provide expert technical support in specialized AI domains as required during the implementation phase.
Project Completion & Acceptance
Support AI solution readiness for go-live and operational handover.
Review and validate final AI models documentation and operational procedures.
Provide guidance and oversight until successful project completion and issuance of the Completion Certificate / Final Acceptance Certificate (FAC).
Required Qualifications
Bachelors degree in Computer Science Artificial Intelligence Data Science Engineering or a related field.
Masters degree or PhD in AI Machine Learning or Data Science is highly desirable.
Relevant AI or cloud certifications are an advantage.
Experience Requirements
Minimum 6 years of experience in AI machine learning or advanced analytics roles.
Proven experience delivering enterprise-scale AI or ML solutions.
Experience working in PMC or consulting roles during implementation phases.
Strong experience with AI/ML frameworks tools and platforms.
Demonstrated experience supporting projects through go-live and Final Acceptance Certificate (FAC) stages.
Key Skills & Competencies
Strong expertise in machine learning deep learning and AI solution architecture.
Experience with MLOps model deployment and lifecycle management.
Strong understanding of data governance security and responsible AI principles.
Excellent stakeholder management communication and documentation skills.
Strong analytical problem-solving and decision-making abilities.
Deliverables
Oversight and progress reports on AI solution implementation.
Technical reviews and recommendations for AI architectures and models.
Validation of model performance compliance and operational readiness.
Support through project completion and issuance of the Final Acceptance Certificate (FAC).
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