Our client is a leading US enterprise AI startup. They are seeking an exceptional Senior Solutions Consultant (Presales) based in EMEA to join their growing team. This role will report to the Global VP of Solutions Consulting EMEA and will play an integral role in creating a vision for our customers.
In order to be successful in this role, you must be able to articulate technology and communicate the value of products to prospective business and technical users and buyers with a focus on enterprise applications. You will also help shape the product and direction of the company by communicating market needs to the Product Management team.
Role Overview
As a Senior Solutions Consultant, you will be part of the Presales Team and Architecture community, and you will own the technical alignment with the customer during the pre-sales lifecycle through workshops and interactions that will define the customer’s future state for AI and Agentics.
This is a remote role based in Europe, but proximity to London/Berlin/Amsterdam is preferred.
Requirements
- Bachelor's Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent hands-on experience in AI development.
- Proven track record as an AI Engineer, with portfolio examples of successful machine learning or AI projects.
- 8+ years of pre-sales experience in a SaaS/iPass organization.
- Familiarity with LLMs and has directly interacted with the development or support of chat-based AI applications.
- Strong understanding of prompt engineering, RAG, vector databases, function calling, chain of prompt reasoning, and other state-of-the-art techniques to improve LLM behavior and performance.
- Hands-on experience using OpenAI, Azure OpenAI, Google Gemini, Amazon Bedrock, and Anthropic.
- Hands-on experience with iPaaS technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and Databases.
- Knowledge of Python programming (or understanding/familiarity with object-oriented programming).
- Ability to learn new concepts, and technologies to solve problems.
- Excellent presentation abilities and composure in front of all levels of technical and business audiences.
- Ability to lead architectural discussions.
- A passion for technology and translating that passion into business impact for customers.
- Excellent verbal communication, written communication, and presentation skills in front of all audiences.
- Ability to travel as needed and to work flexible hours throughout the sales territory.
Responsibilities
- Collaborate with cross-functional customer teams, including data scientists and software engineers, AI leaders, and Architects, to show how Agentic can change their work.
- Effectively team with Sales AEs, Solution Architects, and other functions to evangelize our Agentic and AI capabilities, our approach to delivering Agent solutions and AI-infused use cases, and architecture tailored to the customer’s AI use cases.
- Articulate and educate on AI, Generative AI and Agentics architectural concepts to a variety of audiences, including digital leaders, AI engineer, prompt developers, data architects, enterprise architects, IT ops, line of business, marketing Ops, Finance Ops, People Ops etc.
- Assist sales teams with technical discovery with customer prospects and be able to architect/build AI blueprint solutions using products.
- Create and deliver custom product demonstrations and AI Agentic use cases.
- Support solution accounts to execute technical workshops and proof of concepts (POCs), on-site or remote.
- Able to respond to functional and technical elements of RFIs/RFPs.
- Collect feedback from the field, synthesize, analyze, and channel it to product management and engineering for the AI agentic product roadmap.
- Support Marketing with developer marketing and evangelism activities, including writing blogs, participating in demo-driven webinars, and speaking at industry events.
- Stay updated on the latest Agentics, AI, and machine learning advancements, research papers, and tools, incorporating them into AI development projects.
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