Development, Automation and AI Manager
Role Overview
We are seeking an exceptional Development, Automation and AI Manager to lead our development team whilst driving automation initiatives and AI/ML integration across our technology organisation. This is a strategic leadership role for someone who can bridge cutting-edge technology with tangible business outcomes.
Key Responsibilities
Lead and mentor a development team of 8-15+ engineers (staff and 3rd-party), fostering a culture of innovation and continuous improvement
Drive automation initiatives across the organisation, identifying opportunities for efficiency gains through intelligent automation
Integrate AI/ML capabilities into existing systems and develop new AI-powered solutions
Establish and maintain coding standards, architectural decision-making processes, and technical debt management
Create and execute technical roadmaps aligned with business objectives
Implement DevOps and SRE best practices across distributed systems
Manage stakeholder relationships and translate complex technical concepts into business value
Essential Experience & Skills
Technical Leadership
Proven track record leading development teams of 8-15+ engineers
Experience with code reviews, architectural decision-making, and technical debt management
Ability to establish coding standards and best practices across teams
AI/ML Expertise
Strong understanding of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
Experience with LLM integration (OpenAI, Anthropic, open-source models)
Knowledge of RAG architectures, prompt engineering, and vector databases (Pinecone, Weaviate)
Experience with MLOps tools and monitoring model performance in production
Automation Architecture
Deep knowledge of automation tools including GitHub Actions, Terraform, and Ansible
Experience with business process automation (RPA) tools like Appian
Workflow orchestration experience (Airflow, Prefect)
Ability to build custom automation frameworks using Python or similar languages
Full-Stack Development
Solid software engineering background with proficiency in Python, JavaScript/TypeScript, Java, or Go
Experience with modern frameworks (React, Node.js, Django, FastAPI)
Knowledge of microservices architecture, API design (REST, GraphQL)
Experience with containerization (Docker, Kubernetes) and cloud-native development patterns
DevOps & SRE Practices
Experience implementing CI/CD pipelines and DevOps methodologies
Knowledge of infrastructure monitoring (Datadog), log aggregation, and incident management
Understanding of SLO/SLA definition and observability best practices
Strategic & Business Acumen
Ability to align technical initiatives with business objectives and articulate ROI
Experience creating technical roadmaps and conducting cost-benefit analyses
Track record presenting to C-suite executives with data-backed recommendations
Strong project delivery experience managing complex initiatives on time and within budget
Soft Skills
Excellent stakeholder management and communication skills
Ability to bridge technical and non-technical teams
Experience facilitating cross-functional workshops and building consensus
Skilled at driving organizational change and managing adoption of new technologies
Additional Valued Experience
Vendor and tool evaluation expertise
Data-driven decision making using metrics, KPIs, and analytics
Change management experience including training programme development
Innovation mindset with experience running proof-of-concepts and hackathons
Understanding of build-vs-buy decisions and total cost of ownership analysis
Please do apply via email in the first instance.