AI Architect

About the role

Tata Consultancy Services (TCS) Asia Pacific is hiring an AI Architect based in Singapore. The role calls for 12+ years of experience and focuses on designing and delivering large language model (LLM) solutions, from RAG pipelines and fine-tuned models to conversational systems and enterprise architecture.

Required profile

• 12+ years of experience.
• Hands-on experience with Python preferred, plus Java or .NET; strong software engineering knowledge and familiarity with design patterns.
• Proven experience training or fine-tuning custom LLMs, not only consuming managed APIs.
• Experience documenting conceptual, logical and physical architectures, capability and process inventories, and architectural blueprints.

Required skills

• Building LLM solutions: RAG pipelines, prompt engineering, agent frameworks such as LangChain or LlamaIndex, evaluation with gold sets, metrics and red-teaming.
• Vector databases and embeddings (FAISS, Pinecone, pgvector), feature stores and modern data platforms such as Delta Lake or Lakehouse.
• Multi-turn dialogue systems, conversational state handling and intent orchestration at scale.
• Cloud AI services such as Azure OpenAI, Azure AI Search, AWS Bedrock, SageMaker and Google Vertex AI, plus containerization and Kubernetes.
• LLMOps and MLOps: MLflow or Kubeflow, CI/CD, model registries, deployment strategies, drift and toxicity monitoring, observability.
• Enterprise integration patterns: SOA, ESB, EAI, ETL, API-first design, event streaming and microservices.
• Security and governance: Responsible AI, data privacy (PII and PCI), model risk management, access controls, secrets management and threat modeling.
• Preferred: TOGAF, Azure/AWS/GCP Cloud Architect or Responsible AI certifications; Agile, Scrum and DevSecOps exposure is beneficial.