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.

ELLIOTT MOSS CONSULTING PTE. LTD.

We at Elliott Moss Consultng inspire individuals and organisations to work more effectively and efficiently, and create greater choice in the work domain, for the benefit of all concerned. Our primary mission is to provide our clients with the best suitable employees who bring success to your organiza,on and allows us to grow together.