GenAI Tech Lead at Elastic

, , United States -

Full Time

Start Date

Immediate

Expiry Date

09 Mar, 26

Salary

178900.0

Posted On

09 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, AI Solutions, Technical Direction, Model Lifecycle Management, Prompt Engineering, Python, TypeScript, Cloud Platforms, API Integration, Microservices, Data Governance, Responsible AI, Engineering Leadership, Cross-Functional Collaboration, AI Technologies, Security Compliance

Industry

Software Development

Description

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 — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Elastic IT team is on a mission to drive innovation through new Generative AI capabilities that elevate workforce productivity and efficiency. We’re building Elastic-powered solutions that transform how work gets done - are you inspired by this mission and eager to help lead the charge? We’re seeking an experienced GenAI Tech Lead with a proven record of delivering AI solutions that achieve measurable business results. You will guide the strategy and roadmap for impactful AI capabilities, applying your expertise to solve business challenges and enhance the employee experience. You will help design and scale AI systems that boost productivity, streamline operations, and open new opportunities for automation and intelligent tooling. Your leadership will ensure our GenAI roadmap is both visionary and executable, delivering tangible impact across the enterprise. The ideal candidate pairs deep technical expertise with the ability to forge strong cross-functional partnerships, set clear technical direction, and champion responsible AI adoption. What You Will Be Doing Define and maintain the IT GenAI vision and roadmap aligned with business goals. Partner with business and IT stakeholders to identify high-impact AI opportunities. Set technical direction by assessing emerging AI technologies, platforms, and tools and recommending adoption in adherence to business and security requirements. Establish best practices for model lifecycle management, prompt engineering, fine-tuning, and evaluation. Drive end-to-end delivery: discovery, prototyping, technical design, development, testing, deployment, and iteration. Serve as subject-matter expert for the latest AI technologies and emerging trends, advising leaders and teams on feasibility, impact, and risks. Communicate complex AI concepts in a clear, approachable manner to technical and non-technical partners. Be a key contributor to code reviews, architecture reviews, and technical documentation. Advocate for responsible, ethical, and compliant AI usage within the company. What You Bring 6+ years of experience implementing AI solutions in IT operations, enterprise applications, knowledge management, or employee-support workflows. Demonstrated success in defining and delivering a global strategy for GenAI adoption, ensuring alignment with business objectives. Deep understanding of and hands-on experience with modern AI/ML technologies: large language models (LLMs), foundation models, vector databases, RAG, fine-tuning, and orchestration frameworks (LangChain, OpenAI Agents SDK, etc.). Proficiency with Python/TypeScript or similar languages; experience with cloud platforms (AWS, GCP, or Azure). Solid understanding of API integration, microservices, and enterprise systems architecture. Experience designing secure, compliant AI solutions within corporate environments. Background in data governance, privacy, or responsible AI. Experience leading engineering teams or cross-functional technical programs. Experience working with onsite and remote internal customers across multiple business areas and disciplines Bonus Points Experience using the Elastic Stack and Kibana. Experience in Security, Observability or Search domains. 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. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified 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 company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $113,100—$178,900 USD The typical starting salary range for this role in the select locations listed above is: $135,900—$215,100 USD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re 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 doesn’t matter if you’re 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 minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity/affirmative action employer committed to diversity, equity, and inclusion. 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 candidate_accessibility@elastic.co We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes encryption software and technology that is subject to U.S. 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, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). 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.

Responsibilities

Define and maintain the IT GenAI vision and roadmap aligned with business goals while partnering with stakeholders to identify high-impact AI opportunities. Drive end-to-end delivery of AI solutions, ensuring responsible and ethical AI usage within the company.