AI Transformation Engineer — Hybrid

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

Job summary

Infinitive, a data and AI consultancy in the United States, seeks an AI Transformation Engineer in a hybrid role. You will blend business process understanding with AI engineering, data access, and human-centered transformation to deliver reliable AI-enabled solutions.

You will start from ambiguity, define outcomes, prompts, and context, and create roadmaps that scale prototypes into operating models. Collaboration and strong analytical thinking are essential.

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.
• Understanding of APIs, tools, integrations, structured data, and testing.
• Ability to collaborate across business and technology teams.
• Comfort operating in ambiguity and continuously learning.

Responsibilities

• Lead discovery with executives, business teams, subject matter experts, analysts, and engineers.
• Decompose complex processes into steps, decisions, inputs, outputs, rules, dependencies, and exceptions.
• Identify bottlenecks, repetitive work, knowledge gaps, and inefficient handoffs.
• Challenge legacy process assumptions and design future state workflows around AI enabled capabilities.
• Create practical roadmaps that connect prototypes to scalable operating models.
• Design system prompts, task prompts, reusable instructions, and multi step prompt workflows.

Skills

Analytical thinking

Critical thinking

AI engineering

Prompt engineering

Process transformation

Tools

APIs

Databases

Python

SQL

JSON

Markdown

Git

Job description

Infinitive, a data and AI consultancy in the United States, seeks an AI Transformation Engineer in a hybrid role. You will blend business process understanding with AI engineering, data access, and human-centered transformation to deliver reliable AI-enabled solutions.

You will start from ambiguity, define outcomes, prompts, and context, and create roadmaps that scale prototypes into operating models. Collaboration and strong analytical thinking are essential.