Job Title

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data securing and protecting private information more effectively Elastics complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: At Elastic, we dont 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 ElasticGPTtransforming it from a conversational assistant into a proactive, taskoriented agentic ecosystem that removes friction from every Elastician''s day. Your Mission: From Chat to Action You will lead the IT GenAI roadmap, moving beyond simple chat interfaces to build intuitive, action-oriented agentic workflows. Your goal is to mature our internal GPT tools (ElasticGPT) capabilities so it doesn''t just answer questionsit executes tasks, automates complex processes, and serves as the primary driver of workforce productivity. This role requires experience building and operating real-world GenAI systems under constraints of scale, cost, latency, and enterprise governancenot just prototype or experimental workflows. What You Will Be Doing: AI Agent Strategy & Development: Lead the evolution of ElasticGPT into a task-oriented agent. Design sophisticated workflows (both agentic and deterministic) using LangGraph/LangChain/Elastic Agent Builder/n8n (or equivalent frameworks) to automate enterprisewide productivity. 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 to improve answer quality. Infrastructure & MLOps: Oversee the full model lifecyclefrom finetuning to deploying scalable APIs on Kubernetesacross major cloud providers (AWS, Azure, GCP). Optimization & Observability: Own token efficiency, latency, and cost management. Implement endtoend tracing (OpenTelemetry) and evaluation pipelines to measure performance. MultiModel Orchestration: Design and operate LLM gateway architectures for routing, fallback, spend control, and governance across multiple model providers. Protocol & Tool Architecture: Define multiagent patterns, state management, tool contracts, and handoff logic for enterprise workflows. Demonstrate working knowledge of MCPs and modern agent tooldiscovery patterns. Governance & Reliability: Design robust agents with retries, scoped permissions, and audit trails to ensure secure, reliable execution in a business tech stack. What You Bring: Advanced Agentic Expertise: Proven track record of building productiongrade agents and RAG systems using frameworks like LangGraph/LangSmith. Technical Proficiency: Mastery of Python and TypeScript; deep experience with PyTorch, TensorFlow, or Hugging Face. Elasticsearch Mastery: Deep knowledge of ESRE, vector indexing (HNSW), and relevance tuning. System Design Intuition: Strong ability to balance the tradeoffs between latency, cost, and response quality across multimodel environments (OpenAI, Anthropic, Vertex AI). Cloud & Scaling: Extensive experience with Kubernetes and managing highconcurrency cloud infrastructure. Strategic Ownership: A ''builder'' mindset with the ability to translate complex business needs into technical roadmaps and influence senior stakeholders. Education & Qualifications 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 problemsolving skills and the ability to work in a dynamic and fastpaced environment. Excellent communication and collaboration skills. A commitment to Ethical AI and responsible development practices. Additional Information - We Take Care of Our People: As a distributed company, diversity drives our identity. Whether youre looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesnt matter if youre just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do. 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 Increase your impact - 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 Embracing parenthood with a minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email . We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws and can view the following posters linked below: Family and Medical Leave Act (FMLA) Poster Employee Polygraph Protection Act (EPPA) Poster Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk Peoples Republic (DNR), The Luhansk Peoples Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee''s position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic''s stock program. Our total rewards package also includes a companymatched Registered Retirement Savings Plan (RRSP) with dollarfordollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee wellbeing. The typical starting salary range for this role is: $101,900$151,900 CAD #LI-JM5 #J-18808-Ljbffr