AI Engineering Enablement & Adoption Coach
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Job Description
AI engineering coach helping SmartLogic, a U.S. custom software consultancy, adopt responsible AI-assisted development. Assessing workflows, coaching engineers, and establishing scalable standards and practices.
Responsibilities:
- 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
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