AI Solutions Pre-Sales Engineer at Baidu USA

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

08 Apr, 26

Salary

170000.0

Posted On

08 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Technologies, Solution Consulting, Technical Support, Machine Learning, Natural Language Processing, Computer Vision, Presentation Skills, Communication Skills, Technical Architecture Design, Proposal Writing, Proof of Concept Delivery, Project Management, Client Engagement, Cross-Functional Collaboration, Technical Evangelism, RFP/RFI Processes

Industry

technology;Information and Internet

Description

Job Title: AI Solutions Pre-Sales Engineer Location: Mountain View, CA Type: Full Time, Onsite, Monday - Friday About Baidu AI Solution Baidu AI Solution is Baidu’s global enterprise technology platform, empowering businesses worldwide with battle-tested AI, cloud infrastructure, and data intelligence solutions proven at Baidu Search Engine’s massive scale. Originating from Baidu's deep investments in AI starting in 2011 and bolstered by pioneering research in Silicon Valley, Baidu AI Solution transforms cutting-edge technologies from Baidu’s ecosystem into customizable, scalable tools that embrace AI technology, drive digital growth, enhance user engagement, and optimize operations for enterprises across industries such as AI-Agent, education, e-commerce, healthcare, manufacturing, finance, and intelligent transportation. With initiatives like the 2020 "Integration of Cloud and AI" strategy, it continues to lead in generative AI, serving over 5 million enterprise customers and developers while holding a significant market share in AI public cloud services for four consecutive years. Join a fast-growing, AI-passionate, and vision-driven team at the forefront of technological innovation. Our global engineering and research groups—spanning Silicon Valley, Beijing, Shenzhen, Tokyo, and Singapore—are united by a shared mission to democratize AI and shape the future of intelligent industries. Fueled by curiosity, collaboration, and relentless execution, we attract top talent from leading tech firms and academia, rapidly expanding to meet surging demand for enterprise AI solutions. Here, you’ll work alongside world-class AI scientists, cloud architects, and product leaders who are not just building tools—they’re redefining how businesses evolve in the AI era. About the Role Baidu AI Solution is seeking an AI Solutions Pre-Sales Engineer to partner with enterprise clients and sales teams to design and deliver tailored AI solutions. You will engage with clients to understand business needs, lead product demonstrations and proof-of-concepts, and translate technical capabilities into actionable business value. This role is ideal for a technically skilled, client-facing professional with a strong understanding of AI technologies, excellent communication skills, and a proven ability to support sales success through innovative, solution-driven approaches. Job Responsibilities 1. Solution Consultation & Requirement Analysis Engage with enterprise clients to understand their business processes, technical requirements, and pain points. Work closely with the sales team to identify opportunities where AI solutions can deliver business value. 2. Technical Solution Design Collaborate with product and R&D teams to design tailored AI solutions that meet client needs. Prepare technical proposals, architecture diagrams, and solution presentations. 3. Product Demonstration & Proof of Concept (PoC) Conduct product demonstrations, workshops, and technical presentations for clients. Plan and execute Proof of Concept projects, ensuring alignment with client expectations and success criteria. 4. Tender & Proposal Support Support the preparation of RFP/RFI responses, technical documentation, and pricing proposals. Ensure all solution designs comply with technical standards and client requirements. 5. Cross-Functional Collaboration Liaise with internal teams (sales, product, engineering, delivery) to ensure seamless handover from pre-sales to delivery phase. Provide feedback from client interactions to improve product features and solution offerings. 6.Technical Evangelism Stay updated on AI industry trends, competitor products, and emerging technologies. Represent the company at industry events, exhibitions, and technical forums when required. Qualifications Bachelor’s degree or above in Computer Science, Artificial Intelligence, Data Science, Information Technology, or related fields. 3–5 years of experience in pre-sales, solution consulting, or technical support for AI, Big Data, Cloud, or SaaS products. Solid understanding of AI concepts (e.g., machine learning, natural language processing, computer vision) and their business applications. Strong presentation and communication skills, with the ability to explain complex technical concepts to non-technical audiences. Ability to design technical architectures and solution roadmaps that align with client objectives. Experience with RFP/RFI processes, technical proposal writing, and Proof of Concept delivery. Self-motivated, detail-oriented, and able to manage multiple projects under tight deadlines. Ability to work on-site 5 days a week in our Mountain View office Culture Fit Integrity – Act ethically and transparently, even when no one is watching. Customer Focus – Prioritize understanding and exceeding partner needs to build strong, lasting relationships. Business Expertise – Continuously deepen your knowledge of programmatic advertising to deliver high-quality, impactful solutions. Results Driven – Consistently pursue meaningful outcomes, exceed goals, and push the business forward. Estimated Base Salary Range: $100,000-$170,000 USD

Responsibilities

The AI Solutions Pre-Sales Engineer will engage with enterprise clients to understand their business needs and design tailored AI solutions. Responsibilities include conducting product demonstrations, supporting proposal preparation, and collaborating with internal teams to ensure successful project delivery.