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Lead the strategy and delivery of an AI platform for healthcare, building LLM/SLM-powered automation, RAG pipelines, and trustworthy AI workflows to reduce administrative burden and improve clinical decision-making.
Line of Service Advisory Industry/Sector Not Applicable Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing…
Build and deploy AI models and APIs to support Merck’s R&D, manufacturing, and supply chain teams using Python, cloud services, and modern ML practices.
Builds and deploys AI/ML and GenAI systems for healthcare, focusing on scalable data pipelines, model serving, and advanced GenAI patterns to solve health-related problems across Asia.
Designs and deploys AI/ML and LLM-based systems for fintech applications, integrating models into scalable cloud-native solutions using Python and AWS.
Leads AI architecture and development of agentic/Generative AI systems, including LLM-powered agents, RAG pipelines, and multi-agent workflows, while mentoring engineers and collaborating cross-functionally to deliver scalable, production-grade solutions.
Builds and maintains automated evaluation suites to test AI trustworthiness (bias, explainability, safety) for Gemini-based agents, ensuring compliance and blocking releases with failing checks.
Research and deploy LLM-based solutions (e.g., RAG, fine-tuning) to optimize industrial processes, analyze technical documents, and mine scientific knowledge for Air Liquide’s energy and healthcare operations.
Build and maintain a Python/PostgreSQL platform with LLM agents and data pipelines to automate risk oversight workflows at a major bank.
Principal Solution Engineer designs and secures scalable application delivery architectures using F5 BIG-IP, NGINX, and Distributed Cloud, with a focus on modern AI workloads and cloud-native deployments.
Develops AI/ML-driven analytics and data pipelines to strengthen IAM controls, governance, and risk reduction in fintech. Focuses on access anomaly detection, entitlement mining, and control effectiveness using Python, R, SQL, Neo4j, and Tableau.
Architect and deploy AI-driven customer workflows using LLMs and automation for global enterprises, advising C-suites on technical strategy and scalable integrations.
Designs, builds, and maintains scalable data platforms and production-grade data systems, owning end-to-end pipelines and architectures for operational, analytical, and AI-driven use cases.
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for…
Builds and maintains automated evaluation suites for AI trustworthiness checks (e.g., explainability, bias, safety) across Gemini-based agents, ensuring compliance and audit readiness via CI/CD pipelines.
The Senior AI Engineer designs and deploys scalable, production-ready AI solutions using Python, LLMs, RAG, and Azure cloud infrastructure. This role involves leading technical initiatives, implementing MLOps practices, and collaborating with cross-functional teams to deliver measurable business value.
The ML Ops & LLM Ops Engineer will design and manage deployment architectures for AI solutions on AWS, focusing on CI/CD, infrastructure as code, and production-grade LLM/agentic application scaling. This role involves working as a forward-deployed engineer within enterprise client environments to ensure secure, observable, and efficient AI service delivery.
The Senior AI Engineer will design, develop, and deploy AI and machine learning solutions, including LLMs and RAG applications, for global clients. The role requires strong Python skills and experience managing the full ML lifecycle within a consulting environment.
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