AI Technical Lead

Job Description

. 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.