Solutions Engineer - Contract at 10a Labs

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

0.0

Posted On

16 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Solutions Engineering, Software Engineering, Technical Consulting, AI APIs, Vector Stores, Message Queues, Distributed Event Streaming, Kafka, Vector Databases, RAG Architectures, IT Security, B2B SaaS, Communication, Problem Solving, Documentation, Customer Success

Industry

Research Services

Description

About 10a Labs: 10a Labs is an applied research and AI security company trusted by AI unicorns, Fortune 10 companies, and U.S. tech leaders. We combine proprietary technology, deep expertise, and multilingual threat intelligence to detect abuse at scale. We also deliver state-of-the-art red teaming across high-impact security and safety challenges. Role overview: 10a Labs is seeking an experienced Solutions Engineer for a four month contract (potential to extend) to partner closely with enterprise customers, developers, and internal teams to design and implement cutting-edge AI solutions. You’ll bridge the gap between engineering and customer success — helping organizations integrate language models into real-world applications that are scalable, secure, and transformative. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. This role blends technical depth, product sense, and customer empathy. You’ll design architectures, prototype integrations, and advise on best practices. This is a remote-first, contract position. In this role, you will: Design and deliver exceptional pre-sales customer experience. Provide expertise and implement solution architectures leveraging AI APIs, vector stores, and message queues to enable scalable, low-latency applications. Serve as technical expert to customers integrating AI APIs and platform capabilities across various products and solutions. Collaborate with engineering teams to troubleshoot, optimize, and harden customer deployments. Provide technical feedback to product and engineering teams to improve the developer experience. Create and maintain clear documentation, guides, FAQs, architecture diagrams, and reference implementations related to common questions and requirements. We're looking for someone who: Has experience in solutions engineering, software engineering, or technical consulting roles. Understands data privacy, model evaluations, managing relationships with large, global and complex organizations, preferably working with a technical enterprise product. Operates with autonomy and has strong problem solving skills, and has the ability to effectively manage working on multiple projects at once with frequent updates. Communicates well cross-functionally to both technical and non-technical audiences. Is collaborative, detailed-oriented, and thrives in fast-moving, high-impact environments. Requirements: 3-5+ years of experience in solutions engineering, software engineering, or similar technical consulting roles. Proven experience integrating or building with AI APIs, vector stores, message queues, distributed event streaming platforms (Kafka), or durable execution platforms (Temporal). Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus) and retrieval-augmented generation (RAG) architectures, message queues (e.g., RabbitMQ, SQS) and distributed streaming platforms (e.g., Kafka, Pulsar). Experience providing higher level security and compliance support as well as a thorough understanding and knowledge of IT security principles and customer requirements for similar technical B2B SaaS projects and solutions. Excellent communication skills and the ability to translate between technical and business stakeholders.

Responsibilities

The Solutions Engineer will design and implement AI solutions for enterprise customers, bridging the gap between engineering and customer success. Responsibilities include delivering pre-sales experiences, providing technical expertise, and collaborating with engineering teams to optimize deployments.