AI Architect
Builds agentic and GenAI systems with heavy LLM work (LangChain, RAG, vector DBs) — hands-on with AI orchestration and production tooling.
About the Role
Lead the design and implementation of Agentic AI, Generative AI, and LLM-driven enterprise solutions, bridging research and production to define AI strategy, scalable model pipelines, and governance. The role provides technical leadership and mentors teams to operationalize AI into enterprise applications across cloud platforms.
Job Description
Role
TrueLedge is hiring an AI Architect to lead design and implementation of Agentic AI, Generative AI (GenAI), and Large Language Model (LLM) driven solutions for enterprise applications. The role focuses on defining AI strategy and architecture, building scalable model pipelines, and translating research into production-ready systems that deliver business outcomes.
Key Responsibilities
- Architect and design end-to-end AI systems leveraging LLMs, GenAI, and Agentic AI frameworks.
- Define AI/ML solution architecture covering data ingestion, model training, orchestration, and deployment across Azure, AWS, and GCP.
- Work on prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning of open-source and proprietary LLMs (GPT, Claude, Gemini, LLaMA, etc.).
- Collaborate with data scientists, MLOps engineers, and software developers to operationalize AI solutions in production.
- Design and implement AI agent workflows using frameworks such as LangChain, LlamaIndex, Haystack, or Semantic Kernel.
- Ensure responsible AI principles are applied, focusing on security, compliance, and ethical model usage.
- Define AI governance and observability frameworks for tracking model drift, bias, and performance.
- Provide technical leadership and mentorship, conduct architecture reviews, and promote best practices.
Requirements
- Minimum 10+ years of software development experience, with at least 4+ years in AI/ML/GenAI architecture.
- Strong proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.
- Experience with transformer-based architectures (BERT, GPT, T5) and LLM integration.
- Proven experience in prompt engineering, RAG, and use of vector databases like FAISS, Pinecone, Chroma, or Milvus.
- Hands-on experience with LangChain, LlamaIndex, OpenAI / Azure OpenAI, or similar orchestration tools.
- Solid understanding of MLOps pipelines, CI/CD, and model deployment using Azure Machine Learning, SageMaker, or Vertex AI.
- Knowledge of API orchestration, microservices, and containerization (Docker, Kubernetes).
- Strong analytical, communication, and solution design skills.
Experience & Qualifications
- Any UG/PG/Engineering graduate.
- 10+ years overall software development experience; 4+ years focused on AI/ML/GenAI architecture.
Location & Working Time
- Locations: Chennai / Bangalore / Coimbatore / Pune — Hybrid (listed). Working hours: 9:30 am to 6:30 pm. Saturday & Sunday off.
Compensation & Benefits
- Salary range: ₹1,800,000.00 - ₹3,300,000.00 per year.
- Benefits: Health insurance, Leave encashment, Paid sick time, Paid time off, Provident Fund.