Senior Solutions Architect, Elastic
Open source platform powering search, observability, security, and more
Job no longer available
Open source platform powering search, observability, security, and more
1001+ employees
Job no longer available
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- 8+ years of experience in designing and architecting enterprise-level solutions
- An understanding of AI and semantic search technologies, with a focus on RAG, vector search, and NLP
- 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
What the job involves
- As a Solutions Architect at Elastic you will serve as a technical authority and trusted advisor to our sales team, customers, partners and community. You will understand and solve our customer’s business issues with the Elastic Stack, engage the regional Elastic community through events and programs, and enable sales through our Partners.
- A successful SA at Elastic will be focused on excellence; taking the initiative to improve both themselves and the team through continuous learning and questioning the status quo
- 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
Salary benchmarks
Our take
Organizations are dealing with exploding data volumes increasingly sophisticated cyber threats, and the growing expectation tha ttechnology should help act on problems, not just report them. Ai is moving from experimentation into real operations, especially in security and observability where speed and context are critical. So now, both enterprises and governments are looking for simpler, shared platforms that sale easily and reduce complexity rather than add to it.
And Elastic sits at the intersection of these needs with its Search AI Platform that helps organizations turn large amounts of structured and unstructured data into clear insights and actiontions across search, security, and observability. Elastic's strength lies in its open, flexible approach, which breaks down data silos and provides a context people and AI systems need to make daster, better decisions. The goal is straightforward: help teams see what's happening, understand it quickly, and respond confidently.
Recently, the company worked with CISA to deliver a unified, cloud-based SIEM for US federal agencies, this highlights strong trust in Elastic's security and scalability. Alongside this, its AWS Agentic AI Specialization also reflects leadership in making autonomous AI system practical and reliable. Together, these milestones position Elastic well for the future, as organizations increasingly rely on shared platforms and intelligent systems to manage ris, complexity, and growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jul 2016
$58m
SERIES D
Jun 2014
$70m
SERIES C
Total funding: $162m
Company benefits
- Toast to your health: Fully paid health coverage for you and your family, in many locations.
- Craft your calendar: Flexible location and schedule for most roles.
- Create space for you: Distributed by design workforce, plus generous number of vacation days each year.
- Embrace parenthood: Minimum of 16 weeks of parental leave, plus generous family formation benefits.
- Give back your time: 40 hours each year to use toward volunteering with organizations and causes you’re passionate about.
- Amplify your impact: Double your charitable giving — we match donations up to $1500 USD (or local currency equivalent).
Company HQ
Union Square, San Francisco, CA
Leadership
Ashutosh Kulkarni
(CEO)Ashutosh joined Elastic in 2021 as CPO, becoming CEO in 2022. Prior to this, he was an EVP and CPO of Enterprise at McAfee, a Senior VP and GM of Web Performance and Web Security at Akamai Technologies, and a Senior VP and GM of Informatica Cloud at Informatica.
Shay Banon
(Co-Founder & CTO)Shay co-founded Elastic in 2012 and has served as the CTO since.
Navam Welihinda
(CFO)Prior to joining Elastic in 2025, Navam was the CFO at Grammarly. He also spent nearly 8 years at HashiCorp as VP of Finance and CFO and was the Head of Finance, Compose at IBM for 1 year.
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