AI Transformation Engineer (Hybrid) - Senior Consultant

Infinitive Inc; McLean (VA); Hybrid; USD 90,000 - 154,000; Full time

Job summary

Infinitive Inc in McLean, VA is seeking an AI Transformation Engineer to lead AI-enabled business process redesign, from discovery with executives to detailed workflow design and governance. The role blends business analysis, AI engineering, data, and human-centered transformation to deliver reliable outcomes.

The successful candidate will translate requirements into explicit prompts, manage context and tools, and collaborate across client teams and engineering stakeholders to ensure scalable

Qualifications

• Strong analytical and critical thinking skills.
• Ability to break complex problems into understandable components.
• Hands-on experience with generative AI and modern AI development tools.
• Ability to translate business concepts into technical instructions and workflows.
• Excellent Markdown, documentation, and written communication skills.

Responsibilities

• Lead business process transformation with executives and teams.
• Decompose complex processes into steps, decisions, inputs, outputs, rules, dependencies, and exceptions.
• Identify bottlenecks and inefficiencies in handoffs and workflows.
• Design AI-enabled future state workflows and roadmaps linking prototypes to operating models.
• Develop system prompts, workflows, and reusable instructions for AI agents and MCP tools.
• Plan permissions, governance, logging, and error handling for AI applications.

Skills

Analytical thinking

Critical thinking

AI engineering

Problem decomposition

Documentation

Collaboration

Tools

Python

SQL

JSON

YAML

Markdown

Git

Job description

Infinitive Inc in McLean, VA is seeking an AI Transformation Engineer to lead AI-enabled business process redesign, from discovery with executives to detailed workflow design and governance. The role blends business analysis, AI engineering, data, and human-centered transformation to deliver reliable outcomes.

The successful candidate will translate requirements into explicit prompts, manage context and tools, and collaborate across client teams and engineering stakeholders to ensure scalable