Principal AI and Engineering Productivity Lead
Taguig,
Philippines
Location: Philippines, Manila (Office-Based) or Europe (Remote) Shift: Manila shift
We are looking for a builder and innovator - a senior engineer who will lead the adoption and strategic implementation of Artificial Intelligence across the engineering organization.
As the Principal AI & Engineering Productivity Lead, you will drive the AI adoption and innovation across the engineering organization as an individual contributor. This is a hands-on Principal Engineer-level focused also on R&D, development acceleration, and AI architectural foundations across the engineering and functional teams. This position combines hands-on experimentation, architectural thinking, and internal enablement
The main goal of this position is to significantly increase engineering productivity and accelerate delivery while raising the overall AI maturity of the organization by embedding AI deeply into how we design, build, test, and deploy software.
As the impact grows, the role may evolve into leading a small, dedicated AI team, establishing long-term AI capabilities within the organization.
This position is part of the Strato Engineering team, reports directly to the Product Chief Technology Officer (CTO) and works closely with other Engineering and Functional Leads to bring AI into everyday engineering work.
Key Responsibilities
- 1) AI-Driven Engineering Acceleration (Primary Focus)
> Deliver measurable improvements 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 create tangible gains in speed, quality, and automation
> Build and scale internal AI assistants that reduce development effort across code generation, refactoring, documentation, test creation, and debugging
> Achieve sustained improvements in:
a. Code quality and maintainability standards
b. Automated test coverage and defect reduction
c. Documentation accuracy and accessibility
d. API design consistency and reusability
e. Deployment efficiency and release reliability
> Establish governance frameworks and best practices that ensure secure, responsible, and scalable AI adoption
> Enable engineers to confidently integrate AI into daily workflows through structured coaching, practical playbooks, and hands-on guidance
2) Product AI Innovation (Secondary Focus)
> Identify and prioritize high-impact opportunities to embed AI into Strato product features that enhance customer value and competitive differentiation
> Rapidly prototype and validate AI-driven capabilities, converting viable concepts into production-ready solutions
> Partner cross-functionally with Product, UX, and Engineering to accelerate the commercialization of validated AI innovations
> Deliver AI features that are practical, scalable, secure, and commercially viable - driving measurable customer adoption and business growth
3) AI Architecture Foundations
> Define and operationalize a long-term AI architecture strategy that supports scalable, secure, and enterprise-grade AI adoption across Strato
> Architect and validate robust AI 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 AI usage aligned with data privacy and enterprise standards
> Ensure AI-enabled components are scalable, maintainable, observable, and production-ready - supporting long-term sustainability and technical resilience
4) AI Culture & Education
> Build and institutionalize AI capability across engineering through structured education initiatives and practical enablement programs
> Deliver high-impact workshops and hands-on sessions that accelerate confident, effective AI adoption in daily engineering workflows
> Foster a culture of experimentation, continuous learning, and responsible AI usage grounded in governance and best practices
> Establish yourself as the trusted AI thought leader within Strato Engineering, providing strategic guidance and technical direction on AI initiatives
Job Qualifications
- 1) Technical Background
• Strong software development background (10+ years preferred)
• Experience with:
a. Java (strongly preferred)
b. React or modern frontend frameworks (nice to have)
• Experience in SaaS product development
• Hands-on experience working with LLMs (nice-to-have) and AI systems
• Experience building or experimenting with AI agents
• Familiarity with tools such as Claude, Kiro, Copilot, or equivalent AI coding/productivity tools
• Strong understanding of modern software architecture
2) AI & Engineering Experience
• Experience implementing AI in real-world production systems
• Knowledge of the following:
a. LLM orchestration
b. Prompt engineering
c. RAG systems
d. Agent-based workflows
• Ability to evaluate new AI technologies pragmatically (not hype-driven)
• Strong R&D mindset with ability to move from prototype to scalable solution
3) Leadership & Personal Attributes
• 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 AI concepts into practical impact
Why This Role Matters & What Success Looks Like?
Strato is entering a phase where AI is foundational to how we build software. The Principal AI & Engineering Productivity Lead will define and embed AI into the core of engineering operations - transforming how teams design, build, test, and deploy software, rather than delivering isolated AI features.
Success in this role means creating an engineering environment where teams move faster, work smarter, and deliver high-quality results with confidence in AI-driven workflows. The AI tools and assistants you design and implement will:
Accelerate development: Improve cycle times through AI-enabled coding, automation, and productivity tools (target 2–3x faster delivery).
Enhance quality: Increase test coverage and reduce production defects through AI-assisted testing and QA practices.
Optimize DevOps: Streamline CI/CD pipelines, reduce incident resolution time, and improve monitoring and observability.
Modernize processes: Make coding, testing, documentation, and knowledge management more efficient and consistent.
Enable responsible AI adoption: Establish secure, governed AI standards across engineering teams.
Deliver measurable impact: Drive tangible gains in automation, operational efficiency, and engineering productivity.
Lay the foundation for long-term AI innovation: Build scalable AI capabilities that will shape the future of engineering at Strato.
This is a high-impact, high-visibility role with the opportunity to influence the long-term technical direction of the product and establish AI as a core enabler of engineering excellence.
What We Offer
Each employee has an opportunity to work on high-impact projects with leading clients and cutting-edge HR solutions which has valuable impact to the company success.
We offer rewarding benefits package designed to recognize and celebrate your achievements, alongside a performance-driven culture that encourages growth, accountability, and excellence. Here, your skills and dedication are valued, providing opportunities for career advancement, continuous learning, and meaningful impact on our clients and projects. We believe in empowering our people with the tools, support, and recognition they need to succeed while delivering outstanding results.