Self-described as the leading platform for search-powered solutions, Elastic helps organizations, their customers, and their employees find what they need faste
Lead GenAI Cloud Developer
Location
Canada
Posted
89 days ago
Salary
C$101.9K - C$151.9K / year
Seniority
Lead
Job Description
Lead GenAI Cloud Developer
Elastic
Role Description At Elastic, we don’t just connect dots; we power the future of work. As the creators of Elasticsearch, Kibana, and Logstash, we are uniquely positioned to turn vast data into actionable intelligence. We are looking for a visionary Lead GenAI Cloud Developer to spearhead the evolution of ElasticGPT—transforming it from a conversational assistant into a proactive, task-oriented agentic ecosystem that removes friction from every Elastician's day. Your Mission: From Chat to Action - Lead the IT GenAI roadmap, moving beyond simple chat interfaces to build intuitive, action-oriented agentic workflows. - Mature our internal GPT tool’s (ElasticGPT) capabilities to execute tasks, automate complex processes, and drive workforce productivity. - Experience building and operating real-world GenAI systems under constraints of scale, cost, latency, and enterprise governance. What You Will Be Doing - AI Agent Strategy & Development: Lead the evolution of ElasticGPT into a task-oriented agent. Design sophisticated workflows using LangGraph/LangChain/Elastic Agent Builder/n8n (or equivalent frameworks). - Production RAG & Retrieval: Architect hybrid retrieval systems (BM25, vector search, RRF) using ESRE and Jina AI. Build data ingestion pipelines across Confluence, Jira, GitHub, and ServiceNow. - Infrastructure & MLOps: Oversee the full model lifecycle—from fine-tuning to deploying scalable APIs on Kubernetes across major cloud providers (AWS, Azure, GCP). - Optimization & Observability: Own token efficiency, latency, and cost management. Implement end-to-end tracing (OpenTelemetry) and evaluation pipelines. - Multi-Model Orchestration: Design and operate LLM gateway architectures for routing, fallback, spend control, and governance. - Protocol & Tool Architecture: Define multi-agent patterns, state management, tool contracts, and handoff logic for enterprise workflows. - Governance & Reliability: Design robust agents with retries, scoped permissions, and audit trails to ensure secure, reliable execution. Qualifications - Proven track record of building production-grade agents and RAG systems using frameworks like LangGraph/LangSmith. - Mastery of Python and TypeScript; deep experience with PyTorch, TensorFlow, or Hugging Face. - Deep knowledge of ESRE, vector indexing (HNSW), and relevance tuning. - Strong ability to balance trade-offs between latency, cost, and response quality across multi-model environments. - Extensive experience with Kubernetes and managing high-concurrency cloud infrastructure. - A "builder" mindset with the ability to translate complex business needs into technical roadmaps. Requirements - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Proven experience in developing generative AI models, including Natural Language Processing (NLP) or computer vision models. - Proficiency in deep learning frameworks such as Microsoft Cognitive Services, TensorFlow, PyTorch, or Hugging Face Transformers. - Strong knowledge of cloud platforms and services (e.g., AWS, Azure, GCP). - Experience with containerization and orchestration (e.g., Docker, Kubernetes). - Knowledge of DevOps practices for model deployment and automation. - Strong problem-solving skills and the ability to work in a dynamic and fast-paced environment. - Excellent communication and collaboration skills. - A commitment to Ethical AI and responsible development practices. Benefits - Competitive pay based on the work you do here and not your previous salary. - Health coverage for you and your family in many locations. - Ability to craft your calendar with flexible locations and schedules for many roles. - Generous number of vacation days each year. - We match up to $2000 (or local currency equivalent) for financial donations and service. - Up to 40 hours each year to use toward volunteer projects you love. - Minimum of 16 weeks of parental leave.
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Title: SAP RISE Cloud Architect & Advisor Location: This is a hybrid role based out of one of the following locations. Newtown Square, PA - Plano, TX - Houston, TX - Chicago, IL - Alpharetta, GA - Atlanta, GA. Hybrid is 3 days a week on-site, 2 days a week remote. Employment Type: Regular Full Time Expected Travel: 0 - 10% Department: Sales Support Job Description: We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. 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