Data & AI Technical Lead
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Sparta Global are hiring an AI/Data Lead to provide technical leadership across the design, delivery, and operation of scalable Data and AI solutions within an enterprise cloud environment.
The successful candidate will act as the technical authority across Data Engineering, Analytics, AI/ML, and LLM-enabled solutions, while helping establish best practices across cloud platforms, data pipelines, model deployment, and operational governance.
What You'll Do
- Lead the technical design and delivery of enterprise-scale Data and AI solutions across analytics, machine learning, and AI-enabled use cases.
- Translate business and functional requirements into scalable technical architectures, engineering patterns, and implementation roadmaps.
- Provide hands-on technical leadership across Data Engineering, AI/ML, analytics, and platform engineering activities.
- Design and implement robust ETL/ELT pipelines.
- Lead the development of scalable data platforms.
- Define and maintain best practices for data modelling, schema design, data governance, and engineering quality standards.
- Architect and implement AI-enabled solutions including Retrieval-Augmented Generation (RAG), Graph RAG, AI Search, and Vector Search capabilities.
- Design and optimise vector stores, search architectures, and knowledge graph solutions to support enterprise AI use cases.
- Lead the deployment, operationalisation, and monitoring of machine learning and LLM-based solutions using MLOps/LLMOps practices.
- Implement scalable AI orchestration patterns, model deployment pipelines, and observability frameworks for AI services.
- Establish engineering standards across CI/CD, testing, security, monitoring, and infrastructure automation.
- Act as the primary technical point of contact for senior stakeholders, delivery managers, and cross-functional engineering teams.
- Provide leadership, mentoring, and day-to-day management for the Sparta engineering team, supporting capability growth and delivery excellence.
What You'll Need To Succeed
- Strong experience designing and delivering enterprise-scale Data Engineering and AI solutions within cloud-based environments.
- Strong SQL skills and experience building scalable ETL/ELT pipelines and distributed data processing solutions.
- Experience with data modelling, schema design, and modern data architecture principles.
- Experience working with Cosmos DB and modern NoSQL/database technologies.
- Strong understanding of AI/ML engineering practices including MLOps and LLMOps.
- Commercial experience implementing RAG, Graph RAG, AI Search, Vector Search, and knowledge graph solutions.
- Experience working with vector databases/stores, semantic search technologies, BM25 ranking, and ElasticSearch.
- Experience deploying and managing ML models.
- Understanding of model optimisation and deployment technologies such as ONNX.
- Experience implementing CI/CD pipelines and engineering best practices for data and AI platforms.
- Strong understanding of cloud architecture, scalability, security, and operational support models.
- Experience providing technical leadership across multidisciplinary engineering teams.
- Strong stakeholder management and communication skills, with the ability to engage effectively with both technical and non-technical audiences.
- Previous experience mentoring or managing engineers within delivery-focused environments.