Solutions Architect - GenAI Search Specialist
Solutions Architect - GenAI Search Specialist

Solutions Architect - GenAI Search Specialist

Vollzeit 72000 - 84000 € / Jahr (geschätzt) Kein Home Office möglich
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Auf einen Blick

  • Aufgaben: Design and implement cutting-edge search solutions using AI and semantic technologies.
  • Arbeitgeber: Join Elastic, a leader in AI-powered search, transforming data analytics for Fortune 500 companies.
  • Mitarbeitervorteile: Enjoy competitive pay, growth opportunities, and a collaborative environment with passionate experts.
  • Warum dieser Job: Be at the forefront of innovation, making a real impact on organizations worldwide.
  • Gewünschte Qualifikationen: 10+ years in enterprise-level search solutions; deep knowledge of AI, vector search, and NLP required.
  • Andere Informationen: Fluency in German & English is essential; continuous learning is encouraged.

Das voraussichtliche Gehalt liegt zwischen 72000 - 84000 € pro Jahr.

Solutions Architect – GenAI Search Specialist

Germany

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.

At Elastic, we’re revolutionizing the search and data analytics space. We’re pioneers in the integration of Gen AI, powerful retrieval models like ELSER, and cutting-edge semantic search technologies like vector search, empowering businesses to unlock unprecedented insights and experiences.

As a Search Solutions Architect, you’ll be at the forefront of this transformative journey. You’ll play a pivotal role in designing and deploying innovative solutions that leverage the combined power of these technologies, helping organizations unlock the full potential of their data.

Your Responsibilities:

  • 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.

To Succeed in This Role, You’ll Need:

  • 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.
  • 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.
  • Fluency in German & English.

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.

Are you ready to join the Elastic Revolution and be a pioneer in the next generation of Search powered AI?

Apply now and embark on this exciting journey with us!

We’re eager to welcome you to a team that’s shaping the future and helping organizations unlock the full potential of their data.

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Solutions Architect - GenAI Search Specialist Arbeitgeber: Tbwa Chiat/Day Inc

At Elastic, we pride ourselves on being an exceptional employer that empowers our employees to make a significant impact in the world of AI and search technology. Our collaborative work culture fosters innovation and continuous learning, providing unparalleled growth opportunities through access to cutting-edge training programs and a diverse team of passionate professionals. Located in Germany, we offer a competitive compensation package and a supportive environment where your contributions are recognized and rewarded, making it an ideal place for those looking to advance their careers while shaping the future of data analytics.
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Kontaktperson:

Tbwa Chiat/Day Inc HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: Solutions Architect - GenAI Search Specialist

✨Tip Number 1

Familiarize yourself with the latest advancements in AI and semantic search technologies. Understanding concepts like RAG, vector search, and ELSER will not only boost your confidence but also demonstrate your commitment to staying ahead in this rapidly evolving field.

✨Tip Number 2

Engage with the Elastic community through forums, webinars, and social media. Networking with current employees and industry experts can provide valuable insights into the company culture and the specific challenges they face, which you can address in your discussions during the interview.

✨Tip Number 3

Prepare to discuss your experience with proof-of-concept (POC) projects. Be ready to share specific examples of how you've successfully implemented innovative solutions in the past, as this will showcase your ability to deliver results that align with Elastic's mission.

✨Tip Number 4

Highlight your collaborative spirit and passion for knowledge sharing. Elastic values teamwork and continuous learning, so be sure to convey your enthusiasm for working with diverse teams and contributing to a culture of innovation.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Solutions Architect - GenAI Search Specialist

Enterprise-level Search Solution Architecture
AI and Semantic Search Technologies
RAG (Retrieval-Augmented Generation)
Vector Search Algorithms
NLP (Natural Language Processing)
Familiarity with Hugging Face and Langchain
Knowledge of ELSER Architecture
Experience with Vector Databases
Data Storage Solutions
Excellent Communication Skills
Presentation Skills
Collaborative Spirit
Continuous Learning Mindset
Fluency in German and English

Tipps für deine Bewerbung 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Solutions Architect - GenAI Search Specialist position. Tailor your application to highlight relevant experience in AI, semantic search, and vector search technologies.

Highlight Relevant Experience: In your CV and cover letter, emphasize your 10+ years of experience in designing enterprise-level search solutions. Provide specific examples of projects where you've utilized AI and semantic search technologies, particularly focusing on RAG and vector search.

Showcase Communication Skills: Since excellent communication skills are crucial for this role, include examples of how you've effectively engaged with both technical and non-technical audiences. Mention any presentations or publications that demonstrate your thought leadership in the field.

Express Continuous Learning: Convey your commitment to continuous learning and staying updated with emerging technologies. Mention any relevant courses, certifications, or self-study initiatives that showcase your proactive approach to professional development.

Wie du dich auf ein Vorstellungsgespräch bei Tbwa Chiat/Day Inc vorbereitest

✨Showcase Your Technical Expertise

Be prepared to discuss your experience with AI, semantic search technologies, and vector databases. Highlight specific projects where you've designed and implemented enterprise-level search solutions, especially those utilizing ELSER or similar models.

✨Demonstrate Your Problem-Solving Skills

During the interview, present examples of how you've tackled complex challenges in search architecture. Discuss your approach to creating proof-of-concept projects and how they improved search relevance and user experience.

✨Communicate Effectively

Since you'll be engaging with both technical and non-technical audiences, practice explaining complex concepts in simple terms. Prepare to share your thoughts on the future of AI-powered search and how it can benefit organizations.

✨Emphasize Collaboration and Continuous Learning

Elastic values a collaborative spirit, so share experiences where you've fostered teamwork and knowledge sharing. Also, express your commitment to staying updated on emerging technologies and trends in AI and search solutions.

Solutions Architect - GenAI Search Specialist
Tbwa Chiat/Day Inc
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