Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Lead end-to-end AI implementation lifecycle for enterprise clients including technical discovery, architecture design, and deployment of autonomous AI agents.
Engage with Director- and VP-level executives to translate complex revenue and incentive workflows into scalable AI solutions and provide technical advisement.
Collaborate with Product and Engineering teams to incorporate deployment insights into the core AI product roadmap and establish technical best practices including mentorship.
Minimum Requirements
Bachelor’s degree in Computer Science, Engineering, or equivalent technical field.
2+ years of hands-on experience in AI/ML Engineering, Technical Solutions Architecture, or Technology Consulting in enterprise SaaS.
Advanced proficiency with LLM orchestration frameworks, Retrieval-Augmented Generation architectures, prompt engineering, and deep SQL development.
Experience engaging with Director- and VP-level client stakeholders and strong knowledge of SDLC, REST APIs, webhooks, microservices, and enterprise data integration.
Ideal Candidate Profile
Technical leader with proven ability to lead complex AI projects and manage senior executive relationships in enterprise environments.
Strong background in deploying production-grade AI solutions with expertise in autonomous agents and data orchestration.
Experience mentoring technical peers and driving technical excellence within customer-facing consulting teams.