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Build and optimize generative AI systems, focusing on RAG pipelines, LLM evaluation, and enterprise-scale deployments to improve retrieval quality and reduce hallucinations.
Build and run Absa’s multi-cloud AI platform, deploying and scaling services on AWS Bedrock, Databricks, Azure AI Foundry, Hugging Face, and Kubernetes to power enterprise AI use cases across the bank.
Design and run Absa’s multi-cloud AI platform (AWS Bedrock, Databricks, Azure AI Foundry) that powers 43 live AI projects across ten African countries, focusing on FinOps, zero-trust security, and agentic AI infrastructure.
Build AI/ML systems to optimize clinical trial design using GenAI, agentic frameworks, and scientific data to cut drug development time and costs.
Lead a team building AI models for document understanding, including image classification and text extraction from scanned healthcare documents using PyTorch, TensorFlow, and AWS SageMaker.
Define and govern the Agentic Trust Layer’s four-plane architecture (Identity, Authority, Execution, Assurance) to ensure cryptographic assurance, interoperability, and governance for AI-driven systems across Entrust’s product lines.
Would you like to shape the future of cloud computing by identifying and working with the most promising early-stage startups and venture capital firms? Do you have the technical depth, business acumen, and investment…
Build cloud-native life-sciences apps with AI at their core, leading full-stack React/Django development, AI integrations, and DevOps on AWS/Azure/GCP.
Lead generative AI and LLM projects for JPMorgan Chase, building retrieval-augmented systems, evaluations, and production pipelines using Amazon Bedrock and Cortex to improve banking operations.
Builds and maintains AI/GenAI-powered financial applications using LLMs, RAG, and agentic frameworks like LangChain, integrated with cloud services and enterprise systems.
Principal AI Solution Architect designs and scales enterprise-grade generative and agentic AI systems, leading PoCs, architecture reviews, and responsible AI governance for clients across industries.
Lead incident response and forensic investigations across Windows, macOS, Linux, and AWS while automating security operations with AI-driven playbooks and AWS-native tools.
Build and deploy generative AI solutions (LLMs, agents, RAG) for enterprise clients using Python, LangChain, and cloud AI services like Azure OpenAI.
Build and ship AI-powered document intelligence features using Python, React/TypeScript, and AWS Serverless, integrating LLMs via Amazon Bedrock for OCR, classification, and data extraction.
Lead the engineering and evolution of Precisely AI Studio, a developer portal and AI asset marketplace, while mentoring a team to build scalable agent workflows and integrations with LLM ecosystems.
Build and deploy LLM-powered assistants, RAG apps, and AI agents on enterprise platforms like ChatGPT Enterprise and AWS, using Python, TypeScript, and cloud-native tools.
Secure multi-cloud infrastructure across GCP and AWS, automate security guardrails, and govern enterprise AI services like Amazon Bedrock and Google Gemini Enterprise using Terraform, CrowdStrike CSPM, and Prowler.
Build and deploy AI-powered solutions on AWS for a fintech company, focusing on generative AI, agentic AI, and document intelligence using services like Bedrock, Lambda, and OpenSearch.
Job Description Is Collapsed. Activate To Read Full Description. Hungry, Humble, Honest, with Heart. The Opportunity Are you a driven sales professional with a strong background in generative AI technologies and…
We are looking for an experienced Software Engineer with a strong background and a passion for Generative AI to join our growing technology team in our GenAI team. In this role, you will be instrumental in building a…
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