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About the Role

Support the AI Enablement Technical Lead in delivering and coaching AI adoption across multiple client teams. Mentor technical client team members on the optimal use of AI tools and techniques to enhance the software delivery lifecycle, including skills, agents, and prompt engineering. Address AI interactions, code generation, testing, and PR reviews within an AI-enabled delivery framework. Escalate issues impeding AI adoption to the AI Enablement Technical Lead.

Responsibilities

Act as the primary contact for coaching and questions related to AI adoption and enablement in the software delivery lifecycle for multiple client teams.
Mentor technical client team members on validating AI-generated plans and code against intended outcomes.
Coach client team members on focusing on delivery and capturing friction for future AI skill iterations.
Support client team members in establishing a strong review ethic for AI-generated artifacts, focusing on content and alignment with acceptance criteria.
Help diagnose and address environmental friction in real-time AI usage, distinguishing it from AI-method friction.
Support the integration of tooling (scripting, MCP) to automate activities between AI and existing enterprise solutions.
Support the creation of the AI knowledge base and related AI-supported reverse-engineering activities.
Assist in setting up AI-enabled project environments, including repositories, skills, agents, and configuration files.
Coach client team technical staff on validating that AI-generated output adheres to engineering constraints, coding guidelines, and enterprise standards.
Collaborate with team members to capture and improve AI skills and agentic capabilities.
Escalate technical decisions, tooling blockers, access, or capacity issues outside the role's remit to the AI Enablement Technical Lead.
Surface recurring friction across assigned client teams rather than solving issues in isolation.

Requirements

Strong software delivery experience across various technology stacks using industry best practices (versioning, PR reviews, solution design, code).
Understanding of applying AI capabilities like Spec Driven development to enable the Software Delivery Lifecycle.
Ability to conduct practical, hands-on enablement sessions and support client team members in doing the same.
Familiarity with AI-assisted coding tools, agentic IDE workflows, skills, model behavior, and common AI failure modes.
Ability to diagnose friction across setup, workspace structure, command execution, dependencies, tests, and source-control flows.
Ability to distinguish environment friction from AI friction.
Working knowledge of AI-assisted Quality Engineering methods (e.g., test generation, execution, defect review).
Good communication skills and the ability to coach technical personnel skeptical of AI.
Sufficient architectural and code literacy to differentiate AI skill/prompting problems from specification quality, context, setup, or codebase problems.
Ability to help pods test and validate the story-development/quick-dev skill chain against realistic stories.
Working knowledge of the A.I.D.E Framework.
Comfort using AI tools to complete job functions.

Skills

AI adoption
AI enablement
Software delivery lifecycle
AI skills
Agents
Prompt engineering
Code generation
Test generation
PR reviews
Spec Driven development
AI-assisted coding tools
Agentic IDE workflows
AI failure modes
AI-assisted Quality Engineering
Scripting
Jira integration
Confluence integration
A.I.D.E Framework

Location

Remote

Work Type

Full-time

Experience Level

Senior

About the Company

Electric Mind is a fast-growing, AI-native advisory and digital engineering firm focused on shaping the future.
We blend premium strategy expertise with cutting-edge AI-centric engineering to solve complex, meaningful problems for industry-leading clients.
We pride ourselves on a high-touch delivery model and a culture that values diverse talent, innovation, and true client partnership.
We offer an environment where ideas matter and impact is visible.
We provide opportunities for rapid growth, collaboration with exceptional teammates, and the chance to scale capabilities and global footprint.
For more information, check our Careers Page and Instagram.

Equal Opportunity

Electric Mind is committed to diversity in the workplace.
We are an inclusive employer and welcome and encourage applications from all qualified candidates.
Applicants’ needs will be accommodated during our recruitment and selection process; please advise us if you require accommodation.