AI Technical Lead

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. Key Responsibilities • 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. Mandatory Technical Skills • 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. Qualifications & Experience • 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