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Build and own AI-powered products for healthcare workflows, using LLMs, RAG, and cloud platforms to automate decisions and deliver scalable solutions that drive measurable business value.
Build and deploy AI solutions (copilots, agents, RAG apps) on Azure OpenAI and related platforms, partnering with business teams to solve real problems end-to-end in a regulated healthcare setting.
Lead the design and deployment of cloud-native AI platforms, AIOps, and semantic tooling using GCP, Azure, and generative AI frameworks like Google Gemini Enterprise.
Lead a team building cloud-native microservices and generative AI/LLM features for JPMorganChase’s Commercial & Investment Bank, focusing on secure, scalable solutions in Java, AWS, and Postgres.
Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level Associate Job Description & Summary The Opportunity As an AI Engineer, you will be at the forefront of transforming raw…
Designs, executes, and maintains manual and automated tests for software quality, using GenAI tools like GitHub Copilot to accelerate test case generation, data creation, and script development while collaborating with product and engineering teams.
Design and deploy autonomous AI agents using LangChain/Crew.ai and optimize RAG systems to deliver scalable, safe agentic solutions for enterprise clients.
Lead a portfolio of applied AI, generative AI, and retrieval systems for an insurance company, setting technical direction, governance, and evaluation standards to drive profitable growth in specialty markets.
Builds and orchestrates LLM-powered AI agents for Zoom’s products, integrating RAG, speech, and multi-agent workflows to improve customer and workplace experiences across healthcare, education, and finance.
Lead AI-augmented optimisation for global shipping networks, setting technical direction for agentic decision systems and hybrid AI+OR methods to improve planning and execution in logistics.
Build and deploy secure, scalable LLM-powered AI agents and Custom GPTs for Amgen’s enterprise, integrating RAG pipelines, APIs, and cloud-native AWS services to support patient-focused drug discovery and operations.
Lead the design and implementation of a multi-agent AI platform for pharmacovigilance using AWS Bedrock, Anthropic Claude, and LangGraph to automate adverse event data processing while ensuring regulatory compliance.
Build and refine AI agents for pharmacovigilance that extract adverse-event data, apply MedDRA coding, and generate regulatory reports using LLMs, prompt chains, and rule engines.
Builds and maintains AI-ready data pipelines, retrieval systems, and semantic layers for enterprise analytics and generative AI applications (e.g., RAG, vector stores) using Python, SQL, dbt, Snowflake, and cloud tools in a federated financial services environment.
Build and deploy AI-native systems for regulated industries, leading end-to-end AI projects from scoping to production while mentoring peers on modern AI patterns and software engineering best practices.
Lead AI transformation initiatives for Finance Global Business Services, bridging technical teams and senior leadership to drive adoption of AI-powered solutions.
We are seeking an AI Engineer, Agent/Platform Tracks to join our team. As an AI Engineer focused on agent development, you will drive the design and implementation of specialized pharmacovigilance agents that transform…
About Mozn MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence. We’re a diverse,…
ERP Suites is seeking AI Software Engineers to join our growing team and contribute to the development of innovative AI solutions, both productized and custom. This role is ideal for individuals who thrive in a…
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