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This 1-year contract role involves leading enterprise application development and integrating AI capabilities like LLMs, RAG, and AI agents. The engineer will manage the full SDLC, implement DevOps practices, and collaborate with stakeholders to deliver secure, scalable cloud-based solutions.
The Associate Solution Architect will assist in designing end-to-end enterprise solutions, including cloud-based systems and AI-enabled applications. The role involves translating business requirements into technical designs, creating architecture documentation, and collaborating with engineering teams to ensure security and scalability.
The Technology Engineer will build and maintain the company's investment platform while driving the adoption of AI-assisted development tools. The role involves full-stack development, managing vendor integrations, and implementing generative AI solutions within a regulated financial environment.
Design and implement GenAI and Agentic AI solutions across UOB's banking business units, translating AI platform capabilities into practical banking use cases while ensuring security, compliance, and value realization.
Lead the architecture and deployment of production-grade ML solutions for geospatial applications, focusing on Python-based model development, API services, and MLOps practices.
Designs and implements AI-driven solutions for financial systems, focusing on GenAI, LLMs, and agentic architectures to solve business problems and optimize workflows.
Build NVIDIA NIM's model customization and deployment lifecycle platform—designing fine-tuning pipelines (LoRA, quantization), evaluation harnesses, and compliance/attestation layers on top of LLM serving infrastructure.
Build a scalable RAG infrastructure powering enterprise search and AI assistants at Zoom, using backend/distributed systems, cloud-native tools (Docker, Kubernetes, AWS), and databases like Cassandra, Postgres, ElasticSearch, Kafka, and Redis.
Establish MLOps practices and productionize machine learning models within the Databricks ecosystem, defining how models are built, tracked, deployed, and monitored in collaboration with data science teams.
Westpac is seeking AI Engineers to build and operationalize secure, production-ready AI applications, agents, and platforms within their banking environment. The role focuses on integrating LLMs, RAG, and ML models while ensuring compliance, safety, and scalability.
The Applied AI Scientist builds and deploys generative AI and agentic systems to automate regulatory submissions and R&D processes within a GxP-regulated environment. The role focuses on leveraging LLMs, NLP, and Databricks to analyze scientific documentation and improve cycle times for pharmaceutical product development.
Leads AI/ML engineering initiatives, designing and deploying enterprise-scale LLM and RAG applications while defining technical architecture and driving cross-functional delivery for business impact.
The Senior AI/ML Scientist will design and build agentic AI systems, LLM applications, and machine learning models to solve complex business problems at Vanguard. The role focuses on integrating structured and unstructured data to create scalable, reliable, and explainable AI solutions within an enterprise environment.
Oversee AI risk for a major bank, designing controls for GenAI/LLM safety, agent autonomy, and model validation while aligning with regulatory and security standards.
Builds production-grade AI/Generative AI solutions (LLMs, RAG, agentic workflows) by designing Python microservices, APIs, and cloud-integrated systems for Thermo Fisher’s scientific and healthcare applications.
The AI and Automation Analyst will identify, test, and implement AI-driven solutions to improve operational efficiency and project delivery within the Professional Services team. The role involves building AI-enabled workflows, managing prompt libraries, and supporting the adoption of emerging AI technologies.
On-site Senior Data Engineering Manager at a healthcare company building and owning a modern semantic data platform and knowledge graph, while hands-on developing agentic AI solutions (LLMs, RAG, multi-agent orchestration) across enterprise business systems.
The AI Engineer will design and deploy agentic AI systems that utilize LLMs to automate clinical and operational workflows. This role involves building scalable, production-grade AI agents that integrate with medical data and operate within regulated healthcare environments.
Design and lead the migration of large federal systems from AWS to Google Cloud, modernizing infrastructure, implementing AI-enabled solutions, and ensuring compliance with federal SDLC/SELC standards.
Lead a national benchmarking program evaluating Indian AI models for agricultural advisory, coordinating government, academic, and technical partners to produce decision-ready evidence for integration into live advisory systems.
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