TL;DR

Senior Solutions Consultant (AI): Collaborating with cross-functional customer teams to showcase how %hirify_global%'s Agentic platform can change their work, empowering employees and building AI Agent solutions for their business with an accent on evangelizing AI capabilities and architectures tailored to customer's AI use cases. Focus on architecting/building AI blue print solutions, delivering custom product demonstrations, and collecting feedback for the AI agentic product roadmap.

Location: Proximity to Palo Alto / NYC / Austin / Boston / Denver is preferred.

Salary: $110,000 - $140,000 plus variable, benefits, perks, and equity.

Company

%hirify_global% helps businesses globally streamline operations by connecting data, processes, applications, and experiences.

What you will do

Collaborate with cross-functional customer teams, including data scientists and software engineers, AI leaders, and Architects, to show how %hirify_global% Agentic can change their work.
Team with Sales AEs, Solution Architects, and other functions to evangelize our Agentic and AI capabilities.
Articulate and educate on AI, Generative AI and Agentics architectural concepts to a variety of audiences.
Assist sales teams with technical discovery with customer prospects and be able to architect/build AI blue print solutions using %hirify_global% products.
Create and deliver custom product demonstrations, AI Agentic use cases.
Collect feedback from the field, synthesize, analyze, and channel it to product management and engineering for the AI agentic product roadmap.

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.
6-10 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.

Culture & Benefits

Fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles.
Driven by innovation and looking for team players who want to actively build our company.
Balancing productivity with self-care.
Vibrant and dynamic work environment they can enjoy inside and outside of their work lives.