Elastic GenAI Search Solutions Architect 

United States, New York, New York 

280258711

• Architect next-generation search solutions: Design and implement cutting-edge solutions utilizing Elastic's latest advancements in AI, semantic search, and vector search, including RAG, vector databases, and other emerging technologies.
• Harness the power of ELSER: Enable organizations to achieve unparalleled accuracy and efficiency in their search queries and data retrieval processes, leveraging the capabilities of the Elastic Learned Sparse Encoder.
• Unlock the potential of vector search: Implement powerful vector search algorithms and create high-dimensional vector representations of data, allowing users to find the information they need even with imprecise queries.
• Deliver compelling proof-of-concept (POC) projects: Showcase the combined value of AI, semantic search, vector search, and ELSER through successful POCs, demonstrating the potential for improved search relevance, user experience, and decision-making.
• Become a thought leader and evangelize our vision: Share your expertise through presentations, blog posts, and other channels, positioning Elastic as the leader in AI-powered search and semantic data exploration.
• Foster collaboration and knowledge sharing: Cultivate a collaborative environment within the Solutions Architecture team and across departments, promoting knowledge sharing and driving continuous improvement.
• Stay ahead of the curve: Continuously learn and explore the ever-evolving landscapes of AI, semantic search, vector search, and related technologies, ensuring your solutions are always at the forefront of innovation.

• 10+ years of experience in designing and architecting enterprise-level search solutions.
• Deep understanding of AI and semantic search technologies, with a focus on RAG, vector search, and NLP.
• Familiarity with emerging ecosystem technologies and how they interoperate like Hugging Face, Langchain, etc.
• Solid knowledge of ELSER's architecture and other models within the Hugging Face ecosystem.
• Experience with vector databases and other emerging data storage solutions.
• Excellent communication and presentation skills, able to engage both technical and non-technical audiences. We think of it like this, “ You may be speaking to a developer in the morning, an architect in the afternoon and an executive buyer in the evening.”
• Collaborative spirit and a passion for sharing knowledge and expertise.
• Unwavering commitment to continuous learning and staying ahead of the curve in technology and emerging trends.

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

Applicants have rights under Federal Employment Laws, view posters linked below: Poster; Poster; Poster and (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.

Compensation for this role is in the form of base salary plus a variable component, that together comprise the On-Target Earnings (OTE). On-Target Earnings (OTE) are based on a 70/30 pay mix (base salary / target variable).

The typical starting OTE range for new hires in this role is listed below. This range represents the lowest to highest OTE 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 range may be modified in the future.

An employee's position within the OTE 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.

The typical starting salary range for this role is:$129,000—$196,000 USDThe typical starting Target Variable range for this role is:$55,200—$84,000 USDThe typical starting On-Target Earnings (OTE) range for this role is:$184,200—$280,000 USD

Joining Elastic Means Joining a Company That:

• Empowers you to make a real impact: Your work will directly influence the success of organizations worldwide, helping them unlock new opportunities and make insightful decisions.
• Offers unparalleled growth opportunities: We cultivate a culture of learning and provide access to world-class training programs and cutting-edge technology.
• Connects you with passionate individuals: Collaborate with a diverse team of engineers, data scientists, and industry experts who are passionate about pushing the boundaries of search and AI-powered solutions.
• Rewards you for your contributions: Enjoy a competitive compensation and benefits package that reflects your talent and dedication.