Principal AI and Engineering Productivity Lead

• Deliver measurable Improvement in engineering productivity by designing and operationalizing AI-enabled workflows

• Drive successful adoption of enterprise AI tools or equivalent AI coding/ productivity tools (e.g., Claude, Kiro, GitHub, Copilot, agent-based systems) to

• Build and scale internal Al assistants that reduce development effort across code generation, refactoring, documentation, test creation, and debugging

• Achieve sustained improvements in:
• Code quality and maintainability standards
• Automated test coverage and defect reduction
• Documentation accuracy and accessibility
• API design consistency and reusability
• Deployment efficiency and release reliability

• Establish governance frameworks and best practices that ensure secure, responsible, and scalable Al adoption

• Enable engineers to confidently integrate Al into daily workflows through structured coaching, practical playbooks, and hands-on guidance

• Identify and prioritize high-impact opportunities to embed Al into Strato product features that enhance customer value and competitive differentiation

• Rapidly prototype and validate Al-driven capabilities, converting viable concepts into production-ready solutions

• Partner cross-functionally with Product, UX, and Engineering to accelerate the commercialization of validated Al innovations

• Deliver Al features that are practical, scalable, secure, and commercially viable—driving measurable customer adoption and business growth

• Define and operationalize a long-term Al architecture strategy that supports scalable, secure, and enterprise-grade Al adoption across Strato

• Architect and validate robust Al patterns, including LLM integrations, agent-based systems, retrieval-augmented generation (RAG), internal knowledge systems, and vector database strategies where appropriate

• Establish governance frameworks that ensure secure, compliant, and responsible Al usage aligned with data privacy and enterprise standards

• Ensure Al-enabled components are scalable, maintainable, observable, and production-ready-supporting long-term sustainability and technical resilience

• Build and institutionalize Al capability across engineering through structured education initiatives and practical enablement programs

• Deliver high-impact workshops and hands-on sessions that accelerate confident, effective Al adoption in daily engineering workflows

• Foster a culture of experimentation, continuous learning, and responsible Al usage grounded in governance and best practices

• Establish yourself as the trusted Al thought leader within Strato Engineering, providing strategic guidance and technical direction on Al initiatives

• 10+ years of software development experience, with strong expertise in Java; familiarity with modern frontend frameworks (React, etc.) is a plus

• Hands-on experience with SaaS product development and building production ready Al systems

• Proven experience with LLMs, Al agents, and tools like Claude, Kiro, GitHub Copilot, or similar

• Strong understanding of modern software architecture, scalable systems, and Al integration in real-world workflows

• Implemented Al-driven solutions in production systems, including LLM orchestration, prompt engineering, retrieval-augmented systems, and agent-based workflows

• Skilled in evaluating new Al technologies pragmatically and translating prototypes into scalable solutions

• Strong research and experimentation mindset with focus on delivering measurable impact

• Principal Engineer-level thinking with strong architectural vision

• Highly hands-on, experimental, and comfortable working independently in early stage or R&D-focused setups

• Pragmatic, business-oriented, and passionate about improving engineering productivity

• Ability to influence and mentor senior engineers without formal authority

• Clear and effective communicator, translating complex Al concepts into actionable engineering impact

• Strong software development background (10+ years preferred)

• Experience with:
• Java (strongly preferred)
• React or modern frontend frameworks (nice to have)

• Experience in SaaS product development

• Hands-on experience working with LLMs (nice-to-have) and Al systems

• Experience building or experimenting with Al agents

• Familiarity with tools such as Claude, Kiro, Copilot, or equivalent Al coding/productivity tools

• Strong understanding of modern software architecture

• Experience implementing Al in real-world production systems

• Knowledge of the following:
• LLM orchestration
• Prompt engineering
• RAG systems
• Agent-based workflows

• Ability to evaluate new Al technologies pragmatically (not hype-driven)

• Strong R&D mindset with ability to move from prototype to scalable solution

• Principal Engineer-level thinking

• Strong architectural mindset

• Highly hands-on and experimental

• Comfortable working independently in early-stage setup

• Pragmatic and business-oriented

• Able to influence senior engineers without formal authority

• Passionate about increasing engineering efficiency

• Clear communicator, able to translate Al concepts into practical impact

ACCPRO International