Responsibilities:

Application Development & AI Integration:

• Lead the technical architecture and development of applications, incorporating generative AI features where beneficial
• Design and implement robust AI pipelines for text, image, and code generation capabilities
• Develop and maintain prompt engineering frameworks and best practices
• Oversee the integration of multiple AI models and APIs while ensuring optimal performance and cost efficiency
• Establish technical standards for responsible AI development, including bias detection and mitigation strategies

Technical Leadership:

• Guide development teams in building and maintaining applications with AI capabilities
• Evaluate and recommend appropriate AI models, frameworks, and tools
• Implement AI governance frameworks and ethical guidelines
• Ensure applications meet security requirements, performance standards, and compliance guidelines
• Lead AI model evaluation, fine-tuning, and deployment processes

Project Management:

• Manage the full application development lifecycle, from requirements gathering to deployment and maintenance
• Coordinate with cross-functional teams to deliver projects on schedule and within budget
• Implement agile methodologies and MLOps practices to improve development efficiency

Innovation & Technical Strategy:

• Identify opportunities to enhance applications through generative AI features
• Develop technical roadmaps for application modernisation and AI integration
• Research and evaluate emerging AI technologies and their potential applications
• Design strategies for AI model versioning, monitoring, and maintenance

Stakeholder Management:

• Collaborate with business units to understand requirements and translate them into technical specifications
• Communicate technical concepts and project progress to various stakeholders
• Work with vendors and partners to ensure successful implementation of solutions

Requirements:

Educational Background:

• Degree in Computer Science, Software Engineering, Artificial Intelligence, or related technical field
• Professional certifications in AI/ML technologies are advantageous

Technical Expertise:

• 5+ years of experience in application development and technical team management
• Minimum 2 years of hands-on experience with generative AI technologies
• Demonstrated expertise in:
  • Large Language Models (LLMs) and their applications
  • Prompt engineering and chain-of-thought implementations
  • Vector databases and embedding technologies
  • AI model fine-tuning and deployment
  • RAG (Retrieval-Augmented Generation) architectures
• Strong background in software architecture and system design
• Proficiency in Python and modern development frameworks
• Experience with AI/ML platforms (e.g., OpenAI, Anthropic, Hugging Face)
• Knowledge of cloud platforms (AWS, GCP, Azure) and containerisation technologies
• Understanding of API design, microservices architecture, and system integration

Leadership & Professional Skills:

• Proven track record of leading technical teams and managing complex AI projects
• Strong problem-solving abilities and analytical thinking
• Experience in AI governance and ethical considerations
• Excellent communication skills and ability to work with diverse stakeholders
• Experience in agile methodologies and MLOps practices
• Understanding of government digital services is preferred

Additional AI Experience:

• Experience with multimodal AI systems (text, image, audio)
• Knowledge of AI safety and security best practices
• Familiarity with AI model evaluation metrics and performance optimization
• Understanding of AI infrastructure scaling and cost management
• Experience with AI-specific testing and quality assurance methodologies

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