AI Strategist

smartcatplatforminc; United States; Remote; USD 110,000 - 170,000; Full time

Benefits offered by this job

Remote-friendly team

Global distributed workforce

Job summary

SmartCat Platform is seeking a customer-facing AI solutions lead who can turn strategic challenges into deployable AI workflows and agents. You will work with senior stakeholders on discovery, design tailored solutions, and guide delivery, adoption, and measurement in day-to-day operations.

You will enable customers to use the solutions, support onboarding and change management, and share lessons with product teams to create reusable patterns.

Qualifications

• Fluency with modern AI tools; software engineering experience is not required.
• Translate unclear business problems into scoped AI use cases and measurable outcomes.
• Comfort with structured and unstructured data and with vector tech (e.g., vector databases, RAG).
• Ability to engage senior customer stakeholders and collaborate across teams.
• Willingness to travel for customer engagements.

Responsibilities

• Identify AI use cases with leaders, define success metrics, and build a case for impact.
• Design, build, test, and deploy tailored agents and workflows.
• Manage engagements from discovery through delivery, adoption, and measurement.
• Support onboarding and change management for customer teams.
• Share lessons with product teams and create reusable playbooks.

Skills

AI tool fluency

Stakeholder engagement

Data handling

Experimentation in AI

Cross-team communication

Tools

Vector databases

RAG

Semantic search

MCP

Job description

Role overview

Turn strategic customers' business challenges into custom AI workflows and agents that can be deployed, adopted, and measured in day-to-day operations. The role spans discovery with senior stakeholders, solution design and delivery, customer enablement, and feeding customer needs back into product development.

Responsibilities

• Work with customer business leaders and technical teams to identify valuable AI use cases, agree on success measures, and build a case for their impact.
• Design, build, test, and deploy tailored agents and workflows, including solutions that draw on structured and unstructured customer knowledge.
• Manage engagements from initial exploration through delivery, adoption, and measurement, coordinating with account and technical teammates.
• Help customer teams learn to use and improve the solutions; support onboarding and change management.
• Share recurring needs and lessons from customer work with product teams, and contribute reusable solution patterns, playbooks, and case studies.

Requirements

• Practical fluency with modern AI tools and the ability to experiment quickly and build working solutions. The source says software engineering experience is not required.
• Ability to translate unclear business problems into scoped AI use cases, solutions, and measurable outcomes.
• Comfort working with structured and unstructured data and with techniques and tools such as vector databases, MCP, RAG, and combined semantic and keyword search.
• Ability to engage senior customer stakeholders and collaborate across business, account, and technical teams.
• Flexibility to travel for customer engagements.

Nice to have

• Experience leading cross-functional initiatives or teams.

Benefits and work setup

The source describes a globally distributed, remote-friendly team, with customer-facing work shaped by proximity to customers.