Lead / Manager - AI Engineering

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com . We are seeking GenAI and Agentic AI Engineering Hands-on Lead or a Manager with a focus on delivery, client excellence and innovation. As an experienced Agentic AI Engineer with deep expertise in LLM, Azure AI, Snowflake, and Machine Learning ecosystems, you are responsible to design and implement enterprise-grade AI solutions. The ideal will have hands-on experience architecting end-to-end AI/ML systems—from data readiness pipeline through Agentic Solutions deployment— leveraging cloud-native architecture. Test Driven Agentic AI Engineering, evaluation strategy, metric selection, ground-truth creation, and decisioning on model and prompting approaches. You’ll build and validate GenAI/agentic solutions, define what “good” means, and ensure solutions are measurably effective and safe before and after launch. You will build the GenAI solution in a production (model choice, RAG/agent behaviour, prompts, and evaluation). Key Responsibilities: Translate business needs into testable GenAI and Agentic Engineering solutions, clear outputs, and measurable success criteria; define scope boundaries (what the system should not attempt), including risks. Run feasibility assessments to choose the right approach: prompting vs RAG vs fine-tuning vs classical ML. Select and develop models based on task requirements (reasoning vs extraction