AI Technical Lead
hace 23 horas
Saint Austell
We are looking for an experienced Technical Lead to provide end-to-end technical leadership across AI-powered system integration projects. The role combines full-stack engineering, Google Cloud Platform, AI/GenAI, system integration, and technical leadership. You will work closely with clients, architects, project managers, developers, and partners to design and deliver scalable, secure, cloud-native and AI-enabled solutions. • Lead technical architecture and solution design across applications, cloud, data, AI and integrations., • Translate business requirements into scalable technical solutions and architecture., • Lead end-to-end SDLC delivery covering design, development, testing, deployment and support., • Design and implement cloud-native, microservices and event-driven architectures., • Architect production-grade multi-agent and agentic AI systems using suitable orchestration frameworks., • Establish LLMOps, AI evaluation and model governance frameworks., • Lead foundation model selection, fine-tuning strategy, data requirements and AI governance., • Define standards and guardrails for AI-assisted development, including prompt libraries and review of AI-generated code., • Provide technical guidance across full-stack development, AI/ML integration and cloud engineering., • Review architecture and code for quality, security, scalability and performance., • Lead troubleshooting and resolution of complex technical issues., • Act as the key technical interface with clients and stakeholders., • Mentor engineers and lead technical capability development., • Prepare and review technical documentation including HLD, LLD, ADRs, runbooks and AI model documentation., • Ensure adherence to enterprise architecture, security, compliance and responsible AI standards., • Support RFP/RFI responses, proposals, estimations and client presentations in an SI/consulting environment., • Strong hands-on programming experience in Python, Java, Golang or Node.js., • Strong expertise in REST/GraphQL APIs, microservices, middleware and system integration., • Experience with message queues, asynchronous processing and event-driven architectures., • Hands-on experience with React, Angular or Vue.js., • Good understanding of frontend architecture, state management, API integration and performance optimisation., • AI-Assisted Development, • Hands-on experience with AI-assisted development tools such as:, • GitHub Copilot, • Cursor, • ChatGPT / Claude, • Google Cloud Code Assist / Gemini, • Experience with prompt engineering, rapid prototyping and AI-generated code., • Strong understanding of validating, testing and securing AI-generated code., • Google Cloud Platform, • Strong hands-on experience with GCP services including:, • Compute Engine, Cloud Run, Cloud Functions, GKE, • Cloud Storage, Filestore, • Cloud SQL, Firestore, Bigtable, • BigQuery, Dataflow, Pub/Sub, • VPC, Load Balancing, Cloud CDN, • IAM, Secret Manager, Cloud Armor, • Experience with Docker, Kubernetes/GKE and CI/CD., • Experience with Cloud Build and Artifact Registry., • Terraform experience is an advantage., • Google Cloud AI / GenAI, • Proven hands-on experience with Vertex AI., • Experience with model training, deployment, monitoring, versioning and fine-tuning., • Strong experience with Gemini/LLMs, prompt engineering and RAG., • Experience with embeddings and vector search, preferably Vertex AI Vector Search., • Exposure to Vision AI, Speech AI and Natural Language AI services., • Understanding of AI model evaluation, monitoring, responsible AI and governance., • Data & Analytics, • Strong experience with BigQuery and data warehousing., • Understanding of ETL/ELT, data integration and data pipelines., • Experience with SQL and NoSQL databases., • Experience with Pub/Sub and Dataflow., • Good understanding of data privacy, governance and security., • DevOps & Security - Strong understanding of DevOps practices and CI/CD., • Experience with monitoring and observability, including Cloud Monitoring and Cloud Logging., • Good understanding of cloud security, secure AI practices, data privacy and compliance., • 8+ years of hands-on experience in full-stack software engineering, system integration or solution delivery., • At least 3 years in a Technical Lead, • Minimum 3 years of experience leading technical teams on medium to large-scale cloud and AI projects., • Experience in System Integration (SI) or consulting environments is highly preferred., • Strong client-facing and stakeholder management experience., • Excellent communication, analytical and problem-solving skills. #J-18808-Ljbffr