Solutions Engineer / Senior Solutions Engineer, Sinequa

$150-185k

OTE

React

AWS

Docker

Kubernetes

TypeScript

GCP

Python

Java

Azure

Git

Angular 14+

Senior and Expert level

New York

Enterprise search & analytics solutions

Be an early applicant

Enterprise search & analytics solutions

101-200 employees

B2BArtificial IntelligenceEnterpriseBig dataMachine LearningSaaS

Be an early applicant

$150-185k

OTE

React

AWS

Docker

Kubernetes

TypeScript

GCP

Python

Java

Azure

Git

Angular 14+

Senior and Expert level

New York

101-200 employees

B2BArtificial IntelligenceEnterpriseBig dataMachine LearningSaaS

Company mission

Sinequa's mission is to bring meaning to your data and turn it into information that enables more informed decisions, to accelerate innovation and increase efficiency.

Job

Company

Role

Who you are

Bachelor’s or Master’s Degree in Computer Science, Information Systems, Engineering, or related field
5+ years of experience in technical consulting, professional services, or customer-facing engineering roles
Hands-on experience with at least one programming language (Python, Java, C#, or similar)
1+ year of frontend experience using Angular, TypeScript, or React
Experience with REST APIs, backend integration, Git, and CI/CD pipelines
Familiarity with enterprise architecture, identity/security protocols, and Microsoft environments
Strong communication and problem-solving skills; ability to engage technical and non-technical audiences

Desirable

Experience implementing enterprise search platforms
Familiarity with Generative AI, large language models (LLMs), prompt engineering, or RAG
Experience with cloud infrastructure (Azure, AWS, GCP) and containerized deployments (Docker, Kubernetes)
Knowledge of machine learning, NLP, or knowledge graphs
Experience in regulated industries or with data governance/compliance frameworks

What the job involves

We are looking for a Solutions Engineer / Senior Solutions Engineer to join our growing team
This is a hybrid technical and client-facing role responsible for architecting, customizing, and deploying Sinequa’s enterprise AI search platform in complex customer environments
Depending on your experience, you will either serve as a key contributor or a senior technical lead on strategic implementations—designing solutions, guiding clients through the integration process, and contributing to long-term success
Design, deploy, and customize secure, scalable search solutions tailored to client requirements
Build and configure data ingestion pipelines, APIs, and backend integrations
Implement AI-powered assistants, RAG workflows, and prompt engineering strategies
Customize and extend the search platform UX and UI based on customer needs
Act as a trusted technical advisor during all phases of the implementation lifecycle
Present technical solutions to executive and stakeholder audiences
Lead workshops, training sessions, and technical deep dives with client teams
Provide ongoing support, troubleshooting, and enablement
Work cross-functionally with product, engineering, and customer success to ensure high-impact delivery
As a senior-level candidate, mentor junior engineers and contribute to internal technical best practices
Participate in roadmap planning and knowledge-sharing initiatives

Application process

We usually respond within a week

Our take

As the quantity of content and data scattered across organisations grows, businesses are struggling more and more to leverage this hidden, diffused and therefore often untapped knowledge. This is a problem; without this knowledge, businesses will struggle to do crucial things like highlight trends, reinforce learning, and build new strategies. It is no wonder, then, that the Global Enterprise Search market is booming, being expected to grow as large as $8 billion by the end of the decade.

Founded in 2002, Sinequa has established itself as a recognised leader in this market. In a nutshell, its AI technology enables users to find enterprise information quickly and effectively, driving innovation, efficiency, and productivity for businesses. With a focus on giving professionally relevant insights, it works with major international businesses such as GSK and EDF, as well as a host of other big names.

More recently, Sinequa's focus has been on its product offering and differentiating itself through the use of deep learning. An example if this is the 2022 addition of a neural search function in collaboration with Microsoft Azure and Nvidia teams. The company has also developed Workplace Search, a solution that equips its users with fast, effortless retrieval of company knowledge - allowing organizations to bring business-critical information straight to their employees.

Freddie

Company Specialist at Welcome to the Jungle

Insights

14% employee growth in 12 months

Glassdoor (4.4)

Company

Funding (last 2 of 3 rounds)

Jul 2019

$23m

SERIES B

Mar 2010

$0.3m

GRANT

Total funding: $29m

Company HQ

L'Europe, Paris, France

Leadership

Alexandre Bilger

(CEO)

Co-founded and was Chief Technology Officer of eFront, a data-processing software vendor.

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