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Design and deploy AI-powered copilots and agentic solutions using Microsoft’s AI stack (Copilot Studio, Azure AI Foundry) and Python, integrating LLMs and RAG for enterprise clients.
Senior AI Engineer at PwC’s India Acceleration Center, designing and running experiments with LLMs and AI agents to evaluate tools and produce client-ready insights using Python and cloud platforms.
Build and deploy AI solutions for PwC’s Deals Advisory practice using Python, FastAPI/Streamlit, and cloud AI services like Azure OpenAI to solve client challenges in forensic accounting and compliance.
AI engineer in PwC’s Deals Advisory team applies forensic tech and data analytics to detect fraud, analyze financial records, and support regulatory investigations for global clients.
Build and deploy GenAI applications using Python, LLM frameworks (LangChain/Semantic Kernel), and cloud-native tools (Kubernetes, Azure/AWS) to create scalable AI solutions for clients.
Builds and deploys scalable machine-learning solutions for enterprise clients, working with MLOps platforms, cloud tools, and AI frameworks like TensorFlow and PyTorch.
Build and deploy scalable machine-learning solutions on Google Cloud for enterprise clients, collaborating with data scientists and engineers to implement MLOps pipelines and AI observability tools using Python and SQL.
Build production-grade AI agents that automate high-stakes workflows in education, such as drafting university shortlists and triaging applications, using Python, orchestration frameworks, and evaluation infrastructure.
Build and maintain Java-based microservices and autonomous AI agents using Spring Boot and frameworks like LangChain4j, integrating LLMs via REST APIs.
Applied AI Scientist Location: London We're looking for a hands-on Applied AI Scientist to design, build and deploy real-world AI solutions in complex, constrained environments. This is a senior technical role…
Design and build AI-driven security automation (SOAR playbooks, detection-as-code, CI/CD integrations) to streamline threat detection, incident response, and vulnerability management for a global medtech manufacturer.
Leads AI strategy and business planning for HP’s Applied AI org, translating technical work into executive narratives, managing budgets, and coordinating cross-functional initiatives.
Designs and documents AI and automation opportunities for Amgen’s enterprise AI studio, translating business needs into structured, value-driven use cases ready for technical delivery.
Lead a team to design, build, and deploy AI-first tools—LLMs, NLP, and agentic systems—that automate dealmaking workflows in investment, corporate, and commercial banking.
Design and implement enterprise-scale GenAI and Agentic AI solutions using Azure OpenAI, RAG pipelines, and frameworks like AutoGen; lead MLOps/LLMOps and productionize AI applications.
Build and deploy AI systems (LLMs, agentic workflows, RAG) on Azure to power internal knowledge discovery and decision-making at a global nonprofit.
Build production-grade generative AI applications (RAG, agents, APIs) in Python on AWS, collaborating with data scientists and engineers to power Robert Half’s recruiting and sales workflows.
Pre-sales architect advising large enterprises on integrating Claude into their tech stack, designing LLM solutions, and ensuring safe, scalable AI deployments.
Build and deploy production-grade LLM and generative AI solutions, including RAG pipelines and AI agents, using Python, cloud-native tools, and frameworks like LangChain and AWS Bedrock.
Leads strategy, planning, and executive communications for HP’s Applied AI team, translating technical AI work into business narratives and driving organizational alignment and operational discipline.
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