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Build and deploy GenAI-enabled ServiceNow solutions for enterprise clients, prototyping high-impact AI workflows and agentic platforms while collaborating with senior stakeholders.
Lead a team deploying enterprise-scale GenAI solutions on ServiceNow for Fortune 500 clients, setting technical direction, removing blockers, and mentoring engineers while translating trade-offs for C-suite stakeholders.
Lead a team deploying GenAI solutions on ServiceNow for government clients, setting technical direction, removing blockers, and mentoring engineers while traveling 50% to client sites.
Architect and deploy enterprise AI platforms on Google Cloud using Vertex AI and Gemini, optimizing for scalability, security, and cost while leading cloud-native development and MLOps.
Senior engineer embeds with government clients to prototype and deliver GenAI-enabled ServiceNow solutions, mentors teams, and drives enterprise-scale AI transformations with measurable impact.
Build and deploy GenAI-enabled solutions on ServiceNow for government clients, embedding with teams to prototype and deliver AI workflows with measurable impact.
Senior engineer embeds with clients to prototype and deliver GenAI-enabled ServiceNow solutions, mentors teams, and drives enterprise-scale AI transformations.
Job Number: R0246859 AI/ML Engineer, Senior The Opportunity: As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will design, build, and deploy advanced AI/ML solutions that modernize mission…
Build and deploy ML models end-to-end: train, optimize, and package solutions while setting up MLOps pipelines, monitoring, and data governance for production AI systems.
Lead the roadmap for Splunk’s AI Foundations platform, defining domain-specific models, agentic protocols, and orchestration tools to power enterprise-grade AI workflows for global customers.
Lead AI architecture for secure, scalable financial products, defining patterns for agentic workflows, MLOps, and production-ready AI systems at a global bank.
Lead the design and deployment of ML models for credit risk, collections, fraud detection, and customer segmentation in digital lending, using Python, SQL, and MLOps tools.
Senior SRE building and operating Kubernetes-based infrastructure for Splunk’s AI agent resilience platform, automating deployments, and ensuring reliability across cloud and air-gapped environments using Python, Go, and DevOps tools.
Build and integrate AI-enabled workflows, APIs, and cloud-native solutions to automate partnering operations and decision-making in Roche’s healthcare ecosystem using Python, AWS, and MLOps practices.
Lead the design and implementation of enterprise AI and data platforms on GCP, building scalable, secure cloud-native solutions with Vertex AI, BigQuery, and automation while mentoring engineers and enforcing governance.
Lead a team to design and implement end-to-end test automation for AI-powered healthcare systems, validating LLMs, RAG pipelines, and model outputs using frameworks like RAGAS and DeepEval.
Lead a team building enterprise-grade AI/ML solutions for financial data operations, including LLMs, RAG, and multimodal models, while driving MLOps/LLMOps and cloud deployments.
Design and deliver enterprise-grade AI systems using LLMs, RAG, agentic workflows, and cloud-native platforms while ensuring security, compliance, and scalability for Nordic customers.
Builds backend systems in Java/Python to integrate AI/ML models (LLMs, embeddings) into scalable, production-ready agentic AI workflows for ING’s digital platforms, ensuring reliability, security, and observability while collaborating with data scientists and product teams.
Build and deploy AI models and infrastructure to accelerate life-science research, bridging cutting-edge AI with experimental workflows at EMBL’s Heidelberg hub.
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