Who We Are Simpplr is the AI-powered platform that unifies the digital workplace - bringing together engagement enablement and services to transform the employee experience It streamlines communication simplifies interactions automates workflows and elevates the everyday experience of work The platform is intuitive highly extensible and built to integrate seamlessly with your existing technology More than 1 000 leading organizations - including AAA the NHS Penske and Moderna - trust Simpplr to foster a more aligned and productive workforce Headquartered in Silicon Valley with global offices Simpplr is backed by Norwest Ventures Sapphire Ventures Salesforce Ventures and Tola Capital Learn more at simpplr com JOB DESCRIPTION LEAD AI ENGINEER About the Role As Principal Lead AI Engineer at Simpplr you will spearhead the transformation of our platform from AI-enabled to AI-native architecting and delivering Simpplr s native AI platform from the ground up This platform will power Simpplr s Agentic universe driving next-gen agentic workflow automation along with personalization and recommendations at enterprise scale You will lead architecture development and operationalization of core AI capabilities including MCP RAG multimodal processing LLMs SLMs and fine-tuned custom ML models with traceability explainability auditing and observability built in by design Your work will blend hands-on engineering with strategic leadership fostering a culture of Responsible AI while enabling agentic workflows that deliver measurable business impact Key Responsibilities Design code and lead the build of Simpplr s AI-native platform embedding explainability traceability observability and auditing as core capabilities Deliver enterprise-scale AI capabilities using MCP RAG multimodal LLMs SLMs fine-tuned custom ML models and agentic workflow automation Define technical strategy and roadmap align with product and engineering leaders to deliver customer value at speed and scale Establish and champion Responsible AI principles like bias detection privacy-by-design compliance with security and governance standards Build robust AIOps and MLOps pipelines with versioning CI CD monitoring rollback and drift detection Mentor engineers and data scientists to build high-trust and high-performance AI teams Partner with cross-functional teams to integrate AI into core product experiences and ensure measurable impact on user engagement and productivity What We Are Looking For 8 years in applied AI ML engineering with proven leadership in building complex high-scale AI platforms or products Experience in designing and delivering advanced AI solutions using LLMs SLMs MCP architecture RAG pipelines Vector DBs Agentic AI workflows and automations Experience in building AI solutions with native observability explainability and compliance features Robust background in AIOps MLOps data engineering and large-scale inference optimization Track record of translating product goals into technical execution with measurable business outcomes Ability to build and nurture high performing AI teams and foster a culture of innovation accountability and trust Curiosity and eagerness to learn about next generations of agentic AI workflows personalization and LLM-based solutions Technical Skill Sets AI ML LLMs MCP Model Context Protocol RAG multimodal generation SLMs prompt engineering Programming Python PyTorch TensorFlow scikit-learn full-stack engineering experience is a plus Data Engineering SQL NoSQL Snowflake BigQuery Databricks Vector databases such as FAISS Milvus Pinecone Redis MLOps AIOps CI CD model versioning monitoring observability anomaly detection Docker Kubernetes Kafka Spark Triton TorchServe MLFlow Cloud Infrastructure AWS GCP Azure Terraform Ansible for secure and scalable deployments Responsible AI Governance Bias detection interpretability audit trails privacy-by-design and compliance frameworks Our Ideal Candidate A builder-leader who can design enterprise grade systems ship production code and mentor a high-performance team Hands-on with AI-native platform design not just consuming AI APIs but building the foundational components Relentlessly focused on Responsible AI and the operational realities of running agentic AI in enterprise environments Excited by the challenge of creating the backbone of Simpplr s Agentic universe from scratch Simpplr s Hub-Hybrid-Remote Model At Simpplr we believe that when work is good life is better and that belief guides all we do Including how we approach our flexible work model Simpplr operates with a Hub-Hybrid-Remote model This model is role-based with exceptions and provides employees with the flexibility that many have told us they want Hub - 100 work from Simpplr office Role requires Simpplifier to be in the office full-time Hybrid - Hybrid work from home and office Role dictates the ability to work from home plus benefit from in-person collaboration on a regular basis Remote - 100 remote Role can be done anywhere within your country of hire as long as the requirements of the role are met

📌 Lead Ai Engineer (Haryana)
🏢 Simpplr
📍 Haryana