Director - Engineering
Director - Engineering
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Job Description
Wood Mackenzie is the global data and analytics business for the renewables energy and natural resources industries. Enhanced by technology. Enriched by human intelligence. In an ever-changing world companies and governments need reliable and actionable insight to lead the transition to a sustainable future. Thats why we cover the entire supply chain with unparalleled breadth and depth backed by over 50 years experience. Our team of over 2400 experts operating across 30 global locations are enabling customers decisions through real-time analytics consultancy events and thought leadership. Together we deliver the insight they need to separate risk from opportunity and make confident decisions when it matters most.
Wood Mackenzie Values
- Inclusive we succeed together
- Trusting we choose to trust each other
- Customer committed we put customers at the heart of our decisions
- Future Focused we accelerate change
- Curious we turn knowledge into action
Position Overview
Were looking for a visionary and execution-focused Director of Engineering AI to spearhead our enterprise-wide Artificial Intelligence initiatives particularly the ground-up development of our core agentic framework. This is a key leadership position in building scalable modern and AI-enriched platforms driving innovation through applied machine learning generative AI (GenAI) and intelligent automation that will redefine our product landscape.
Youll be responsible for the end-to-end architecture engineering and operations of our cutting-edge AI platforms with a laser focus on modern cloud-native practices robust CI/CD automation and real-world Large Language Model (LLM) deployments. This isnt just a leadership role; its a deeply hands-on position where your expertise will directly shape our foundational AI capabilities.
Key Responsibilities:
Leadership & Strategy
- Define and drive the strategic roadmap for our AI initiatives ensuring tight alignment with core business priorities and our evolving product vision.
- Lead a high-performing team of AI and data engineers across geographically distributed teams (US UK and India) fostering a culture of rapid innovation accountability and delivery excellence.
- Develop comprehensive staffing and resourcing plans actively helping the team grow and evolve.
- Champion a product-centric and platform-driven mindset across our AI and data domains always bringing innovative ideas to the table including the very latest technology trends to solve complex real-world problems.
AI Architecture & Agentic Framework Development
- Architect and deliver our agentic framework from the ground up leveraging your deep knowledge of AI frameworks and workflows.
- Design and evolve enterprise AI architecture including scalable cloud-native data lakes Snowflake-based data warehouses and real-time streaming infrastructure all designed to power advanced AI applications.
- Lead the development and implementation of LLM-powered applications and intelligent agents including advanced search generative agents and conversational AI.
- Utilize and implement specialized AI techniques including but not limited to:
- Embedding and Vectorization strategies for efficient data representation.
- Advanced RAG (Retrieval Augmented Generation) and ReACT RAG patterns for enhanced model performance and factual grounding.
- Model Context Protocol for managing complex conversational states.
- A2A (Agent-to-Agent) frameworks for sophisticated multi-agent orchestration.
- Techniques for grounding and synthesizing data to improve AI reliability.
- Developing and integrating Snowflake connectors and other similar data integration techniques crucial for AI data pipelines.
- Establish and enforce best practices for CI/CD IaC (Infrastructure as Code) and automated testing for all AI and data pipelines ensuring rapid and reliable deployment.
- Maintain a deeply hands-on approach with our core technology stack: Python and Java applying various key architecture principles to build robust and scalable systems.
Cloud & Infrastructure
- Lead the operationalization of our AI platforms on AWS including the effective use of services like S3 Lambda Step Functions SageMaker Bedrock and AppFlow.
- Optimize AI workloads for peak performance cost efficiency and scalability with considerations for multi-region deployment.
AI Platform Management & Responsible AI
- Oversee data ingestion transformation and orchestration utilizing tools like Apache Airflow dbt Glue and Kafka/Kinesis to feed our AI systems.
- Drive responsible AI practices model governance and ensure auditability of all AI solutions.
- Build secure scalable AI agentic frameworks for complex task automation human-in-the-loop decision-making and orchestration of multi-agent systems.
Collaboration & Delivery
- Act as a critical bridge between business stakeholders data science and engineering teams ensuring alignment and enabling rapid prototyping of AI solutions.
- Deliver high-quality production-grade AI capabilities within deadlines and with measurable business impact.
- Cultivate a strong working relationship with our Product and UX teams ensuring seamless integration and user-centric AI solutions.
- Present architectural decisions and progress to executive leadership with exceptional clarity and influence.
- Possess strong communication and presentation skills articulating complex AI concepts effectively to diverse audiences.
Agile & Innovation
- Implement agile methodologies to ensure iterative development and continuous improvement within the AI development lifecycle.
- Utilize feature flags to enable experimentation and rapid deployment of new AI features and models.
- Foster a culture of experimentation and innovation encouraging teams to test hypotheses and learn from failures in the AI space.
- Ensure that feature flags are used responsibly to manage risk and maintain system stability for AI deployments.
- Willingness to travel as needed to collaborate with our globally distributed teams.
Qualifications
Required Qualifications
- 15 years in technology leadership roles with 5 years in a Director of Architecture or Engineering or higher capacity specifically within the AI or advanced data domains.
- Proven experience managing large-scale cloud data platforms and modern AI architectures.
- Deep expertise in AWS cloud architecture and cloud-native services.
- Extensive hands-on experience with Python and Java in a production environment.
- Advanced knowledge and hands-on experience with LLMs GenAI frameworks and AI orchestration platforms including RAG ReACT RAG Model Context Protocol A2A frameworks embedding vectorization grounding and synthesizing data.
- Solid foundation in enterprise architecture platform engineering and data governance for AI systems.
- Strong understanding of ML Ops model lifecycle management and real-time AI integration.
- Demonstrated experience with CI/CD pipelines and API-first design principles.
- Exceptional communication skills executive presence and a clear sense of urgency to execute AI initiatives at scale.
Preferred Qualifications
- Direct experience with advanced agentic AI frameworks and multi-agent orchestration.
- Familiarity with compliance standards AI ethics and data privacy regulations (e.g. GDPR SOC2) as they pertain to AI systems.
- Experience with Snowflake connectors or similar enterprise data integration tools for AI workloads.
What Success Looks Like
- A unified high-performance AI and data platform enabling self-service analytics and rapid innovation for the business.
- Delivered real-time AI-driven features deeply embedded in key business applications significantly impacting user experience and operational efficiency.
- A world-class AI engineering team executing at speed with exceptional quality and fostering continuous growth.
- Tangible cost efficiencies enhanced data usability and a clear measurable ROI from our AI investments.
Equal Opportunities
We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race colour religion age sex national origin disability or protected veteran status. You can find out more about your rights under the law at
If you are applying for a role and have a physical or mental disability we will support you with your application or through the hiring process.
Required Experience:
Director
Employment Type
Full-Time
