AI Architect
HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion.
Hybrid role: 3 days working from onsite.
We are looking for a highly skilled AI Architect to lead the design and implementation of AI/GenAI solutions, including LLM-based systems, RAG pipelines, vector search, and cloud-based AI deployments.
Key Responsibilities:
- Architect LLM-driven applications, GenAI platforms, and AI microservices.
- Build and optimize Retrieval-Augmented Generation (RAG) architectures.
- Integrate AI models using OpenAI GPT APIs, Hugging Face, and custom model endpoints.
- Lead vector database adoption (MongoDB Atlas Vector Search, FAISS, Pinecone).
- Design end-to-end AI pipelines using LangChain or LlamaIndex.
- Ensure AI solutions meet enterprise-grade security, compliance, and performance.
- Collaborate with backend, cloud, and data teams on scalable deployments.
Mandatory Skills:
- Expertise in Generative AI, embeddings, vector search, and model orchestration.
- Strong programming skills in Python and Java.
- Experience with LangChain, LlamaIndex, Hugging Face.
- Knowledge of cloud AI platforms (Azure AI Services, AWS Bedrock, GCP Vertex AI).
- Hands-on experience with Docker, Kubernetes, GitLab CI/CD.
- Understanding of event-driven architectures (Kafka/RabbitMQ).
Preferred Skills:
- Experience with fine-tuning, prompt engineering, multi-agent architectures.
- Exposure to fraud detection, risk systems, or NLP-heavy enterprise workloads.
- Familiarity with microservices patterns and latency optimization.