Top AI & Machine Learning Jobs

Build and improve production-oriented enterprise AI solutions using prompts, LLMs, RAG, workflow automation, APIs, governed data, and evaluation frameworks. Integrate systems such as Salesforce, Slack, Snowflake, and AWS using n8n, Python, JavaScript, or TypeScript. Apply context engineering, observability, security, privacy, testing, and reliability controls while partnering with business, product, data, security, and engineering stakeholders.

Design, build, and deploy AI-powered observability solutions using LLMs, NLP, generative AI, RAG, semantic search, and AI-driven analytics. Develop incident reports, root-cause explanations, remediation suggestions, and context-aware retrieval capabilities. Optimize models for scalable cloud-native deployment and collaborate with product, infrastructure, platform engineering, and data science teams.

Customer-facing engineering role building and deploying AI-powered observability solutions. Design, implement, and support integrations, backend services, telemetry pipelines, and full-stack artifacts using Python, Java, and JavaScript/TypeScript. Drive production rollouts, troubleshooting, and codify repeatable templates and playbooks to improve adoption and product feedback.

Own success for a portfolio of strategic enterprise customers by driving AI adoption, developing AI Success Plans, measuring ROI, managing customer health, engaging executives, identifying expansion use cases, leading cross-functional recovery plans, mentoring peers, and providing product feedback to improve value realization and Autonomous IT maturity.

Own customer success for strategic enterprise accounts, guiding deployment to operational adoption, value realization, and Autonomous IT maturity. Develop and execute AI Success Plans, deliver executive reviews, identify and remediate adoption risks, lead cross-functional initiatives, drive expansion, represent customer feedback to product and GTM, and mentor other AI Growth Strategists.