AI Engineer

About the Role We are seeking a visionary AI Engineer to spearhead our AI and advanced analytics initiatives within the Customer & Agency domain. While this role contributes to strategic impact, it is first and foremost a hands on engineering position. This opportunity is ideal for a seasoned professional who thrives at the intersection of cutting edge technology, ethical AI, and real-world implementation. You will personally design, build, test, deploy, and optimize high-impact AI systems ranging from Generative AI, Agentic AI, LLM-driven conversational solutions, and intelligent document Processing that transforms customer servicing and agency workflows. Key Responsibilities Conversational AI Ownership: Lead the architecture, development and optimization of, Intelligent Document Processing, intelligent chatbots and conversational agents, including RAG pipelines, tool/function calling, memory, and multi agent workflows (e.g., LangChain/LangGraph/Hugging Face). Application & Platform Engineering: Build production grade microservices/APIs (FastAPI/Flask); integrate with enterprise systems (CRM, claims, knowledge bases) and manage channel integrations (web, mobile, contact center). Cloud Native Deployments: Deploy to Azure , GCP (Container Apps/Functions/Cloud Run); manage secrets (Key Vault/KMS), configuration, autoscaling, and reliability. CI/CD & Release Practices: Establish automated tests, canary/blue green deployments, rollback strategies, and artifact versioning (models/prompts/flows) with MLflow/Azure ML. Model Development & Deployment: Build, test, deliver, and maintain robust AI systems and services that solve complex business challenges spanning LLM applications, retrieval, and inference APIs. Business Alignment: Influence and translate strategic business objectives into actionable technical requirements, system design, and success metrics. Health Pillar Support: Drive ideation and delivery of AI solutions within the health vertical especially AI based conversational chatbots and agentic assistants. Responsible AI Leadership: Embed the highest standards of AI ethics and Responsible AI in all phases of solution design, deployment, and operations. Collaboration & Cross Functional Delivery: Partner closely with Data Science, Engineering, Product, UX, Risk/Compliance, and Operations to plan, ship, and iterate LLM systems; coordinate with channel teams; co create runbooks and ensure smooth handoffs to operations. Innovation & Thought Leadership: Continuously explore and implement best in class solutions in Generative and Agentic AI, platform components, and reusable accelerators. Security & Responsible AI Guardrails: Enforce PII redaction, content moderation, red teaming, policy compliance, and audits aligned to enterprise governance and APAC regulations. Performance & UX: Tune for low latency, high reliability, and high quality conversational UX, including handoffs, feedback loops, and continuous evaluations. Qualifications & Skills Qualification Details Education Bachelors or masters in data science, Computer Science, AI, or related quantitative field Experience 5+ years (Bachelors) or 3+ years post-Masters in AI/Data Science Programming (must)Expert in Python, SQL, LangChain, LangGraph, Hugging Face(similar) Good to have FastAPI/Flask, Docker, and Git-based CI/CD Use-Case Experience Preferably with conversational chatbots utilizing LLMs for intent detection, AI based routing, LLM based OCR and Intelligent Document Processing (mandatory to have hands-on on at least one) Cloud Platforms Hands-on experience with Azure or Google Cloud MLOps/LLMOps Experience in prompt/version registries, observability, canary releases, and rollback. Prior experience in managing ML artifacts, LLM cost optimization is a strong plus Security & RAI Guardrails Experience implementing PII protection, content filters, safety policies, red teaming, and compliance audits Observability & Cost Controls Hands-on with telemetry, SLOs, alerting, and token/latency optimization strategies Leadership Experience in leading delivery teams of AI engineers, LLM application standards and reusable components is a plus Communication Exceptional ability to communicate across technical and non-technical audiences Collaboration Strong team player with cross-functional and cross-geography collaboration skills Problem Solving Demonstrated critical thinking and analytical capabilities ",