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AI Architect

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Onsite

AI Architect

Tata Consultancy Services

AI Architect

Skills

Google Cloud PlatformPythonJavaDevOps.NETMicroservicesAIAWSKubernetesCloud ArchitectRisk ManagementAzure

21 days ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

6 October 2026

What they need


Join Tata Consultancy Services, Asia Pacific and be part of an organization committed to sustainable development for our future. TCS follows the Tata group philosophy of building sustainable businesses that are rooted in the community and demonstrate care for the environment. Our unique values position us to combine a purpose-driven worldview with digital innovation, collaborating with customers, communities and governments to lead and shape innovative solutions for a sustainable future. TCS has been carbon neutral in its operations across 11 countries, 12 delivery centres and 18 offices in Asia Pacific since 2022. This is only the initial stage in TCS’ journey as we strive to achieve long-term net zero emissions by 2030.

Job Description:

Role: AI Architect

Years of Experiences: 12+ Years

Location: Singapore

  • Hands-on experience with Python preferred, plus Java or .NET; strong software engineering knowledge and familiarity with design patterns.

  • Experience building LLM solutions, including RAG pipelines, prompt engineering, agent frameworks such as LangChain or LlamaIndex, and evaluation using gold sets, metrics, and red-teaming.

  • Proven experience training or fine-tuning custom LLMs, not only consuming managed APIs.

  • Expertise with vector databases and embeddings, such as FAISS, Pinecone, and pgvector; feature stores; and modern data platforms such as Delta Lake or Lakehouse.

  • Hands-on experience with multi-turn dialogue systems, conversational state handling, and intent orchestration at scale.

  • Exposure to cloud AI services, including Azure OpenAI, Azure AI Search, AWS Bedrock, SageMaker, and Google Vertex AI; experience with containerization and Kubernetes.

  • Knowledge of LLMOps and MLOps practices, including MLflow or Kubeflow, CI/CD, model registries, deployment strategies, monitoring for drift and toxicity, and observability.

  • Strong understanding of enterprise integration patterns, including SOA, ESB, EAI, ETL, API-first design, event streaming, and microservices.

  • Knowledge of security and governance, including Responsible AI, data privacy (PII and PCI), model risk management, access controls, secrets management, and threat modeling.

  • Experience documenting conceptual, logical, and physical architectures; capability and process inventories; and clear architectural blueprints.

  • Preferred certifications include TOGAF, Azure/AWS/GCP Cloud Architect, or Responsible AI certifications; exposure to Agile, Scrum, and DevSecOps is beneficial.

Thank you for your interest in applying for this position with TCS. All applicants who meet the requirements will be considered equally and fairly for employment. We will review your application and will get back to you if we are considering your interest in this opportunity.

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