TL;DR

Senior Solution Consultant (AI): Collaborating with cross-functional teams to show how %hirify_global% Agentic can change their work, evangelizing AI capabilities, and architecting AI blueprint solutions using %hirify_global% products with an accent on prompt engineering, RAG, and vector databases. Focus on improving LLM behavior and performance, leading architectural discussions, and translating passion for technology into business impact.

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

Salary: $110,000 - $140,000

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 to show how %hirify_global% Agentic can change their work.
Evangelize AI capabilities and tailor architecture to customer's AI use cases.
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.
Collect feedback from the field and channel it to product management and engineering for the AI agentic product roadmap.
Support Marketing with developer marketing and evangelism activities.

Requirements

Bachelor's Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
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 direct interaction with the development or support of chat-based AI applications.
Strong understanding of prompt engineering, RAG, vector databases, function calling, and chain of prompt reasoning.
Hands-on experience using OpenAI, Azure OpenAI, Google Gemini, Amazon Bedrock, and Anthropic.

Nice to have

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.

Culture & Benefits

Flexible, trust-oriented culture that empowers everyone to take full ownership of their roles.
Vibrant and dynamic work environment.
Driven by innovation and looking for team players who want to actively build our company.
Balancing productivity with self-care.