A company operating in the HR services and talent-transformation sector, building AI-driven workforce intelligence, automation and enterprise talent-matching solutions for clients across India and global markets. We design and ship scalable production AI/ML systems that power decisioning, search and automation across HR workflows.
We are hiring an AI Solution Architect to lead architecture, design and delivery of high-impact AI solutions in a hybrid India-based role. You will translate product and business goals into reliable, secure and cost-effective AI platforms.
Role & Responsibilities
- Lead architecture and technical strategy for end-to-end AI solutions—data ingestion, model training, deployment, serving and monitoring.
- Design cloud-native, scalable and secure solutions for LLMs and ML services across AWS/Azure/GCP, ensuring low-latency inference and cost efficiency.
- Define solution patterns for retrieval-augmented generation: vector search, embedding pipelines, prompt design and LangChain-based orchestration.
- Establish MLOps practices: CI/CD for models, automated retraining, observability, model governance and performance SLAs.
- Collaborate with product, data science and engineering teams to translate requirements into designs, run PoCs and drive production rollouts; conduct architecture and code reviews.
- Evaluate vendors, select vector DBs and inference providers, and drive optimization for throughput, scaling and cost.
Skills & Qualifications Must-Have
- Large Language Models
- Prompt engineering
- Vector Databases
- LangChain
- MLOps
- Cloud architecture (AWS, Azure or GCP)
Preferred
- PyTorch or TensorFlow
- MLflow or model lifecycle tooling
- ONNX and inference optimisation
Benefits & Culture Highlights
- Hybrid work model (India) with flexible remote days and collaborative engineering culture.
- Opportunity to lead end-to-end AI programs, influence product direction and work with cross-functional leaders.
- Competitive compensation, learning budget for AI tools/certifications and focused career growth paths.
Skills: agentic ai,rag,gcp,aws,azure,natural language processing,docker,tensorflow,chatbot,microservices,gen ai,machine learning,deep learning,llm,pytorch,kubernetes
