AI Engineering Enablement & Adoption Coach

Job not on LinkedIn

🕒 October 3

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SmartLogic

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2005

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

SmartLogic is a company that specializes in building custom web and mobile applications. Since its inception in 2005, the company has catered to a wide range of clients, from startups to Fortune 500 companies, aiming to empower organizations through tailored software solutions. SmartLogic utilizes advanced technologies and agile methodologies to deliver scalable and responsive projects, such as the text-to-order food relief program for World Central Kitchen and enhanced usability for the Baltimore City Health Department's CHARMCare. The company is recognized for its technical expertise and partnership approach, working closely with clients to meet their business goals efficiently. SmartLogic is based in Baltimore and has been honored with awards like the Maryland Inno Fire Awards for its contributions to the tech community.

📋 Description

• Assess current AI usage, engineering workflows, skill levels, pain points, and opportunities across the team • Identify highest-value use cases for AI-assisted development • Evaluate AI tools and practices and recommend where to standardize, experiment, or avoid adoption • Develop an AI engineering enablement upskill strategy and prioritized roadmap • Establish repeatable practices, standards, playbooks, workflows, or reusable tooling across project teams • Upskill developers and Staff Engineers through hands-on application of AI in real development workflows • Ensure AI-assisted development maintains standards for architecture, maintainability, testing, code review, security, privacy, and quality • Establish baselines and measures for whether AI adoption improves software delivery profit margin • Help SmartLogic build software faster and better through responsible AI-assisted development • Account for client IP, confidentiality obligations, sensitive health information, and varying AI permissions across client projects

🎯 Requirements

• Experienced AI engineering consultant or practitioner • Staff Engineer-level software engineering depth and judgment • Deep, hands-on experience using AI-assisted development and agentic coding tools in real production codebases • Demonstrated ability to help engineers use AI without lowering standards for architecture, maintainability, testing, security, code review, and software quality • Experience helping engineering teams adopt AI • Experience developing practical workflows, standards, playbooks, or internal tooling used by other engineers • Strong understanding of the risks and limitations of AI-generated software, including when AI assistance should not be used • Experience evaluating AI's impact on software delivery without relying solely on superficial adoption metrics • Strong coaching and communication skills • Ability to sign an NDA • Proposal must include relevant experience, similar engagements and outcomes, proposed approach, performing personnel and technical background, engagement structure and timeline, pricing and payment structure, and references or case studies if available