Note: Candidates with 8+ years of experience and above will only be preferred.

Job Summary

Seeking an experienced AI professional with over 8 years of expertise in Generative AI, Large Language Models (LLMs), and Data Science to lead and deliver cutting-edge VRM solutions. The ideal candidate will leverage cutting-edge GenAI technologies to enhance vendor risk assessment, compliance automation, and decision-making processes within financial services or similar domains.

Key Responsibilities

- Develop and implement advanced Generative AI solutions, including LLM-based summarization, Q&A; systems, and semantic search for vendor risk management.
- Design and deploy cloud-native ML infrastructure on AWS and GCP, ensuring scalable and secure VRM workflows.
- Automate vendor onboarding, risk assessment, and compliance reporting using NLP, document AI, and RAG techniques.
- Collaborate with cross-functional teams to integrate AI solutions into existing risk management frameworks.
- Optimize data pipelines,



preprocessing workflows, and storage solutions for efficiency and performance.
- Lead AI model testing, validation, deployment, and continuous improvement efforts.
- Mentor junior team members and drive innovation in AI-driven risk analytics.

Qualifications & Skills

- 8+ years of experience in Data Science, Machine Learning, and Generative AI.
- Proven expertise in LLMs (GPT-4, GPT-3.5), RAG, Prompt Engineering, and Vector Search.
- Strong background in cloud platforms: AWS (S3, Lambda, SageMaker) and GCP (Vertex AI, BigQuery).
- Proficient in Python, SQL, PySpark, and related data engineering tools.
- Experience with document AI, NLP, and big data processing (Spark, Hadoop).
- Knowledge of risk and compliance domains preferred.
- Excellent communication, leadership, and stakeholder management skills.

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📌 AI Cloud Solutions Engineer (Generative AI) (City of Sydney)
🏢 Synechron
📍 City of Sydney