[Hiring] AI Engineering Enablement & Adoption Coach @SmartLogic

Role Description

We are seeking an experienced AI engineering consultant or practitioner to help SmartLogic move from individual, ad hoc AI usage to a more intentional, repeatable, team-wide approach to AI-assisted software development.

• This is not a management role or an outsourced engineering leadership position.
• Work directly with our Staff Engineers and developers to assess current practices.
• Identify meaningful opportunities for improvement.
• Help our team build the skills, standards, and workflows needed to use AI effectively in production software development.

Qualifications

• 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 the bar for architecture, maintainability, testing, security, code review, and overall software quality.
• Experience helping engineering teams adopt AI, not simply using it personally.
• Experience developing practical workflows, standards, playbooks, or internal tooling that other engineers actually use.
• Strong understanding of the risks and limitations of AI-generated software.
• Experience evaluating the impact of AI on software delivery without relying solely on superficial adoption metrics.
• Strong coaching and communication skills.

Requirements

• Assess current AI usage, engineering workflows, skill levels, pain points, and opportunities across the team.
• Identify the highest-value use cases for AI-assisted development within our environment.
• Evaluate AI tools and practices and recommend standardization, experimentation, or avoidance of adoption.
• Develop a practical AI engineering enablement upskill strategy and prioritized roadmap.
• Establish repeatable practices, standards, playbooks, workflows, or reusable tooling.
• Upskill developers and Staff Engineers through hands-on application of AI in real development workflows.
• Help establish appropriate baselines and measures for assessing AI adoption impact.

Benefits

• Increase engineering capacity without increasing headcount at the same rate.
• Improve delivery efficiency and project margins.
• Reduce writedowns, rework, and avoidable delivery costs.
• Create consistent, responsible AI practices across project teams.

Expected Outcomes

• A clear understanding of our current AI maturity and highest-value opportunities.
• A prioritized AI adoption roadmap.
• Defined standards and practices for responsible AI-assisted software development.
• Developers and Staff Engineers who are more capable and confident using AI effectively.
• Repeatable workflows and practices that extend beyond individual power users.
• A practical approach for evaluating whether these changes are helping us build quality software faster and more efficiently.

Client Work Considerations

• Client contracts vary in how they permit AI tool usage.
• Some projects involve sensitive data, including health information.
• Recommended practices must account for client IP, confidentiality obligations, and differing permissions across projects.
• The selected partner will be required to sign an NDA.

Proposal Response

• Relevant experience helping software engineering teams adopt AI-assisted development.
• Examples of similar engagements and outcomes.
• Your proposed approach for SmartLogic.
• Who would perform the work and their relevant technical background.
• Recommended engagement structure and timeline.
• Pricing and payment structure.
• References or relevant case studies, if available.

Submission Details

Please submit proposals as a PDF to Bri Bellavati, [email protected] by October 23rd.