layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Principal AI Software Engineering Lead at Diversified Services Network, Inc. | LAYIQ

Evaluate and benchmark AI software engineering platforms, including Cursor, Claude Code, GitHub Copilot, and emerging agentic development tools
Define and implement AI-assisted software engineering best practices, standards, governance, and adoption frameworks
Partner with engineering teams to identify and execute high-value AI pilot initiatives across enterprise software development
Design and promote agentic development workflows, specification-driven development, and autonomous engineering practices
Measure and analyze developer productivity, software quality, SDLC efficiency, and engineering outcomes using data-driven metrics
Create reference architectures, implementation patterns, and engineering guidance for AI-native software development
Collaborate with software architects, engineering managers, product teams, and platform teams to integrate AI capabilities into the development lifecycle
Evaluate security, compliance, and governance considerations related to AI coding tools and developer workflows
Mentor engineering teams on effective use of AI-powered development tools and modern software engineering practices
Drive continuous improvement initiatives focused on accelerating delivery velocity, improving code quality, reducing technical debt, and enhancing developer experience
Collaborate with vendors, strategic partners, and internal stakeholders to assess emerging AI engineering capabilities and industry best practices
Contribute to engineering strategy, roadmap planning, technology selection, and long-term AI transformation initiatives
Team Interaction & Collaboration
Partner closely with Engineering Directors, Engineering Managers, Principal Engineers, Architects, and Technical Leads to define and execute AI software engineering strategy
Work with Product Owners, Product Managers, and business stakeholders to identify high-value engineering productivity opportunities and prioritize adoption initiatives
Partner with DevOps, Platform Engineering, Cybersecurity, and Enterprise Architecture teams to establish governance, security, compliance, and operational standards for AI coding platforms
Engage with engineering leadership to define success metrics, measure outcomes, and communicate the impact of AI-assisted software development initiatives
Lead technical workshops, architecture discussions, proof-of-concepts, and engineering enablement activities across multiple organizations
Present recommendations, findings, pilot results, and strategic roadmaps to senior leadership and executive stakeholders

Principal AI Software Engineering Lead

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