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Lead the design and delivery of enterprise-grade generative AI systems using agentic architectures, RAG pipelines, and cloud-native tooling to solve complex business problems for global clients.
Embed with Sales & Marketing teams to rapidly prototype LLM tools (CRM intelligence, analytics) using Python and AWS, then hand off viable solutions to engineering for production.
Build and shape the company’s AI strategy by designing RAG solutions, workflow automation, and AI assistants using Python, PostgreSQL, and cloud tools to improve operations and decision-making.
Lead a team of ML engineers and AI strategists to architect and deliver enterprise AI solutions, engaging directly with C-suite executives and embedding with customers to drive transformation.
Build and ship AI-powered features to automate internal workflows and enhance physician/employer-facing tools, using LLMs, retrieval, and agentic patterns with rigorous evaluation.
Build and structure an internal AI services catalog, integrating NLP pipelines and RAG-based Gen-AI services using Python, Azure OpenAI, and cloud-native tools.
Build and refine conversational AI tools and autonomous agents to help supply-chain teams query data in plain language using Python, SQL, and LLM APIs.
Build and scale IQVIA’s Orion GenAI platform, designing architectures for transformer models, RAG, and AI agents while shielding teams from low-level complexity.
Build and scale IQVIA’s Orion GenAI platform, designing robust architectures for transformer models, RAG, and AI agents while abstracting complexity for application teams.
Build and deploy agentic and generative AI systems for banking workflows, integrating LLMs and AI coding tools into production-grade applications.
Build and deploy enterprise-grade generative AI systems (LLMs, RAG, agents) for Citi’s operations, integrating models like GPT-5 and Claude into Python services and APIs.
Lead AI agent development and enterprise AI adoption at a large clean-energy developer, building low-code solutions and training teams to integrate AI responsibly.
Design and advise customers on AI/ML solutions using AWS services like SageMaker and Bedrock, building GenAI pipelines and ML architectures for enterprise adoption.
Lead AI adoption at a large clean-energy firm: design, build, and deploy low-code AI agents and solutions, train teams, and ensure responsible use across workflows.
Build and deploy AI/ML models and DevOps pipelines to automate cybersecurity workflows, using Python, Elasticsearch, and cloud tools to speed up threat detection and national security tooling.
Lead the design and scaling of agentic AI workflows for financial advisors, integrating vendor and internal agents with governance and rapid experimentation.
Are you curious about how generative AI is reshaping teaching in today’s upper secondary schools? The Department of Culture and Communication at Aalborg University invites applications for a 2,5 year postdoctoral…
Build and deploy generative AI, LLM-powered, and agentic AI systems for federal clients, using TypeScript/Python and cloud-native tooling to deliver secure, scalable solutions.
Build and orchestrate autonomous AI agents in Python to automate multi-step engineering tasks and collaborate within intelligent networks.
Design and deploy scalable AI systems on AWS Bedrock, integrating managed foundation models into cloud applications and optimizing ML workloads for performance and cost.
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