Senior Consultant – Generative AI

BTI Executive Search are advertising this role on behalf of our client, EXL Service Australia Pty Ltd, a global analytics and digital solutions company delivering tailored AI and data-driven solutions across multiple industries. EXL partners with leading organisations across insurance, healthcare, banking and capital markets, retail, media and communications, and energy and infrastructure to help reimagine business models, deliver measurable outcomes, and accelerate innovation. Senior Consultant specialising in Generative AI & MLOps to support key client within the Banking and Financial Services sector. This is a full-time, permanent position based in Melbourne, Victoria. Key Responsibilities Establish and deploy AI-driven solutions tailored to internal audit, compliance, and risk control functions, focusing on automation of manual processes through Generative AI, Retrieval-Augmented Generation (RAG), and LLM orchestration frameworks. Design, develop, and manage scalable ML pipelines using Google Cloud Vertex AI, enabling secure, reproducible model deployment across UAT and production environments under SOC2-compliant frameworks. Build and operationalize real-time model monitoring and drift detection systems using Prometheus and custom alerting logic, ensuring regulatory-grade reliability of deployed models. Lead the implementation of containerized CI/CD pipelines (Docker, Kubernetes, Cloud Build) for secure model versioning, auditability, and enterprise DevOps compliance. Optimize training and inference workflows on GPU infrastructure (e.g., NVIDIA A10G), applying TensorFlow and CUDA to meet performance SLAs for high-volume risk and control use cases. Collaborate with risk, data governance, and compliance stakeholders to integrate AI solutions with enterprise-wide audit protocols, reduce manual oversight, and align with internal review policies. Deliver end-to-end MLOps lifecycle management—from structured/semi-structured data ingestion (Pandas, Spark) through to model tuning, evaluation, retraining, and audit traceability. Drive internal research pilots focused on multi-agent LLM orchestration (LangChain, Pinecone) including memory management, agentic task planning, and secure enterprise knowledge retrieval. Support the development of benchmarking frameworks to assess control maturity, RCA quality, and AI/ML performance across internal divisions and business units. Required Qualification and Experience 6–10 years of experience across AI/ML systems, enterprise IT, and risk/regulatory environments (financial services preferred). Post-Graduation in Data Science, Information Systems, or Business Analytics. Domain exposure in Governance, Risk, and Compliance (GRC), MLOps, and regulatory reporting (e.g., Basel, APRA). Required Skills and Attributes Strong ability to design and present technical solutions aligned with internal risk frameworks, security protocols, and regulatory controls. Demonstrated stakeholder engagement experience across compliance, audit, and IT leadership functions. Broad expertise in AI system architecture, CI/CD workflows, and observability tooling (e.g., Prometheus, MLflow). Advanced knowledge of Python-based data and ML stacks including TensorFlow, Pandas, NumPy, Spark. Working experience in programming secure LLM workflows and vector-based retrieval systems using LangChain, Pinecone, and GPT APIs. Hands‑on knowledge of GCP components (Vertex AI, BigQuery, Cloud Build, GKE). Analytical thinking, problem‑solving, and ability to work autonomously in high‑accountability environments. How to apply If you meet the requirements, you can apply directly via LinkedIn or email your CV to Closing date for applications 13 February 2026 #J-18808-Ljbffr