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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading Google Cloud-native engineering programs, focusing on AI-enabled application development and generative AI solutions. Proficient in translating business needs into scalable applications while fostering technical leadership and client relationships.
Highest-signal resume keywords
Google Cloud Native DevelopmentGenerative AI SolutionsPython ProgrammingLLMOps PracticesClient-Facing Solution Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Application DevelopmentSoftware EngineeringArchitecture DesignPrompt EngineeringAgent OrchestrationVector DatabasesIterative DesignTesting MethodologiesCloud-Native ApplicationsBusiness Growth Strategies
Soft Skills
Technical LeadershipMentoringClient Relationship ManagementCollaborationCommunication
Tools & Technologies
Google Vertex AILangChainLangGraphDigital ToolingLLM APIs
Certifications & Qualifications
Bachelor's Degree
Industry Keywords
AI-Enabled ApplicationsCloud EngineeringModernization ApproachesRapid ExperimentationEnterprise Use Cases
Tech Stack
Tools & technologiesCloudPython
About the role
Key responsibilities & impact- Set strategic direction for Google Cloud-native engineering programs across AI-enabled application development and testing
- Lead client discussions to shape solution roadmaps, delivery priorities, and modernization approaches
- Oversee multiple software engineering efforts from requirements through architecture, build, test, and deployment
- Drive development of generative AI solutions using Google Vertex AI, LLM APIs, LangChain, LangGraph, and retrieval-augmented generation
- Govern prompt engineering, LLM evaluation, LLM guardrails, and LLMOps practices
- Translate business needs into scalable cloud-native applications using Python, agent orchestration, vector databases, and digital tooling
- Advance AI-human collaboration patterns for contact center and enterprise use cases through rapid experimentation and iterative design
- Advise on architecture decisions balancing performance, maintainability, and modernization
- Build executive-level client relationships and identify new opportunities for cloud engineering and generative AI programs
- Coach delivery teams and cultivate technical leadership across engineering, testing, and AI solution design
Requirements
What you’ll need- At least a Bachelor's degree
- At least 9 years of experience
- Experience leading Google Cloud native development and testing initiatives
- Experience building cloud-native applications across full development lifecycles
- Experience applying Generative AI, LLMOps, and prompt engineering
- Experience using Python, LangChain, LangGraph, and Vertex AI
- Experience driving client-facing solution design and business growth
- Experience mentoring teams through rapid experimentation and innovation
- Up to 80% travel
- Must not require, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth in the stated policy
Benefits
Comp & perks- Annual discretionary bonus
- Medical insurance
- Dental insurance
- Vision insurance
- 401k
- Holiday pay
- Vacation
- Personal and family sick leave
