Squirro Logo

Squirro

Solutions Engineer

Posted 9 Days Ago
Be an Early Applicant
Hybrid
New York, NY, USA
Senior level
Hybrid
New York, NY, USA
Senior level
Implement, customize, and operate enterprise AI-driven search and insights solutions. Engage customers through qualification, deployment, and support; design scalable architectures; extend the platform using Python/Bash; integrate LLMs, Elasticsearch, and APIs; manage deployments on Linux and hybrid infrastructures; document solutions and collaborate across teams.
The summary above was generated by AI

We are looking for a Senior Solutions Engineer specialising in Search and GenAI to join our global Delivery team, supporting enterprise customers in deploying, customizing, and operating Squirro’s AI-powered search and insights platform.

What You’ll Do

As a Solutions Engineer, you will work closely with customers, partners, and internal teams to implement and support AI-driven search and insights solutions across enterprise environments. In this role, you will combine technical expertise, customer interaction, and solution engineering to deliver scalable AI and search solutions that create measurable business value.

  • Client Engagement & Solution Delivery: Work with customers and partners throughout solution qualification, implementation, deployment, and support phases, ensuring successful delivery and adoption of Squirro solutions.
  • Solution Design & Technical Consulting: Collaborate with business and engineering stakeholders to translate customer requirements into scalable technical solutions that meet business expectations.
  • Platform Customization & Development: Extend the Squirro platform with custom backend components using Python and Bash, develop integrations, and support REST API implementations.
  • Search, AI & Data Engineering: Implement and optimize enterprise search solutions using Elasticsearch, AI/LLM integrations, Agentic Workflows, and modern AI tooling to improve relevance, automation, and insights generation.
  • Infrastructure & Deployment: Deploy and manage solutions within Linux and hybrid infrastructure environments, using tools such as Ansible and microservices-based architectures.
  • Documentation & Cross-functional Collaboration: Maintain technical documentation, contribute to knowledge sharing, and collaborate with engineering teams on product improvements and customer-driven feature requirements.

What You Bring

As our customer base continues to grow, we're looking for a hands-on Solutions Engineer who is comfortable operating at both strategic and technical levels. You will support the Delivery team in implementing scalable AI, search, and data solutions for enterprise customers.

  • Strong Python experience
  • Experience working in technical consulting, software engineering, or DevOps roles
  • Experience in customer-facing technical environments
  • Experience deploying and supporting Linux-based systems
  • Experience with Elasticsearch in production environments, including relevancy tuning and search optimization
  • Familiarity with LLMs, Agentic Workflows, and AI integration patterns
  • Experience with REST APIs, backend development, and third-party integrations
  • Experience with databases such as Postgres, MySQL/MariaDB, or Redis
  • Familiarity with microservices architectures and hybrid infrastructure deployments
  • Strong communication skills and ability to explain technical concepts to technical and non-technical audiences

Nice to have:

  • NLP and Machine Learning experience
  • Experience with Flask, FastAPI, React, or NGINX
  • Experience with infrastructure automation tools such as Ansible
  • Experience with project delivery in Agile or Waterfall environments

Tools You’ll Use

You’ll work with a modern engineering stack supporting AI, search, deployment, and enterprise integrations. Key technologies include:

  • Programming & Infrastructure: Python, JavaScript, GNU/Linux, Bash
  • AI & LLMs: OpenAI, Claude, Azure AI tooling, Agentic AI frameworks
  • Search & Data: Elasticsearch, Redis, Postgres/MySQL/MariaDB
  • Backend & Web: Flask, FastAPI, NGINX, REST APIs
  • Frontend: React
  • Collaboration & Delivery: Jira, Confluence, Git

Experience with these technologies is preferred but not mandatory — we value engineers who are curious, adaptable, and eager to learn.

Why Join Us

  • Drive growth in a dynamic, high-potential tech environment
  • Enjoy autonomy with our “freedom and responsibility” work approach
  • Collaborate with exceptional talent solving extraordinary challenges
  • Drive customer success and retention while working in a flexible, growth-focused environment
  • Make a strategic impact while having fun with awesome colleagues


About Squirro

Squirro is the enterprise AI platform built for regulated industries, streamlining enterprise search and automating complex, custom workflows. Secure, private, scalable, permissions-aware, and fully auditable, the platform ensures that every result is accurate and verifiable. Squirro powers agentic AI applications that are grounded in the organization’s unique enterprise ontology.

Further information about AI-driven business insights can be found at:
https://squirro.com/


Squirro New York, New York, USA Office

33 Irving Pl, New York, NY, United States, 10003

Similar Jobs

Yesterday
Remote or Hybrid
United States
182K-227K Annually
Senior level
182K-227K Annually
Senior level
Healthtech • Information Technology • Security • Software • Cybersecurity
Senior Solutions Engineer provides pre-sales technical leadership: discovery, customized demos, and proof-of-concept evaluations; authors SOWs, responds to RFI/RFPs, enables channel partners, and transitions accounts to services. Works with sales teams to meet territory revenue goals and requires up to 50% travel.
Top Skills: Active DirectoryAzureAzure Virtual DesktopCitrixDnsEnterprise Saas SecurityEntra IdGCPHTTPIdentity ManagementLdapMicrosoft Terminal ServicesWindowsMtireNistSingle Sign-OnSmtpVmware ViewVmware Workstation
5 Days Ago
Hybrid
New York City, NY, USA
120K-150K Annually
Senior level
120K-150K Annually
Senior level
Artificial Intelligence • Information Technology • Marketing Tech • Software • SEO
Act as a technical advisor for enterprise customers, lead complex pre-sales cycles (discovery, PoCs, demos, proposals), design integrations and architectures, handle security/compliance/procurement during deals, collaborate with Product/Engineering/Legal/CS, and support onboarding and expansion to drive adoption and upsell.
Top Skills: Ai SearchChatgptClaudeGeminiLlmsSitecore
6 Days Ago
Remote or Hybrid
United States
234K-292K Annually
Senior level
234K-292K Annually
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Customer-facing senior solutions engineer in pre-sales who maps customer initiatives to Cloudflare solutions, delivers technical presentations, demos and POCs, builds technical champions, advises on networking and security architecture, creates thought leadership content, and collaborates with sales while managing multiple projects and traveling up to 50%.
Top Skills: AWSAzureCdnDdosGCPLog AnalyticsNetworkingSaaSSd-WanSecuritySIEMVpn

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account