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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading AI Engineering teams and managing AI initiatives, with a strong focus on developing scalable technology solutions that align with business objectives. Proficient in Generative AI, multi-agent systems, and cloud platforms, ensuring governance and security in AI applications.
Highest-signal resume keywords
AI Engineering Team LeadershipGenerative AI ImplementationGoogle Cloud Platform ExpertiseAI Governance and ComplianceRoadmap and Portfolio Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonAI Agents DevelopmentMulti-Agent SystemsREST APIsMicroservicesEvent-Driven SystemsDockerKubernetesCI/CDLLMOps
Soft Skills
Stakeholder ManagementTeam BuildingStrategic Decision InfluenceCollaborationContinuous Development Focus
Tools & Technologies
Google Cloud PlatformVertex AIGemini EnterpriseGKECloud RunCloud FunctionsADKLangGraphLangChainCrewAI
Certifications & Qualifications
Google Cloud CertificationArchitecture CertificationArtificial Intelligence Certification
Industry Keywords
Financial ServicesDigital TransformationInnovation EnvironmentsResponsible AI PracticesMCP ProtocolA2A Protocol
Tech Stack
Tools & technologiesCloudDockerGoogle Cloud PlatformJavaJavaScriptKubernetesNode.jsPython
About the role
Key responsibilities & impact- Lead and develop the AI Engineering team, fostering technical growth, autonomy, collaboration, and high performance
- Define and execute the roadmap for the AI function, connecting technological innovation with the company’s strategic business objectives
- Manage the portfolio of AI initiatives, from opportunity assessment through implementation and results delivery
- Drive the adoption of Generative AI and intelligent agents, accelerating the transformation of processes and products
- Ensure the continued evolution of the enterprise AI platform, focusing on scalability, security, governance, and observability
- Partner with business, data, architecture, and engineering teams to deliver solutions that create sustainable value
- Establish best practices for the architecture, development, and operation of AI-based solutions
Requirements
What you’ll need- Experience leading and developing technical teams in Engineering, Architecture, or AI
- Experience managing roadmaps, portfolios, backlogs, and initiative prioritization
- Ability to translate business challenges into scalable technology solutions
- Experience managing stakeholders and influencing strategic decisions
- Proven track record of building high-performing teams, with a focus on continuous development and results delivery
- Hands-on experience building and implementing AI agents, multi-agent systems, and LLM-based applications
- Knowledge of Generative AI, RAG, prompt engineering, model evaluation, memory, and agent orchestration
- Experience with frameworks such as ADK, LangGraph, LangChain, CrewAI, or similar technologies
- Experience with Google Cloud Platform, especially Vertex AI, Gemini Enterprise, GKE, Cloud Run, and Cloud Functions
- Knowledge of software engineering, REST APIs, microservices, event-driven systems, and distributed architectures
- Experience with Python and knowledge of Java or Node.js
- Knowledge of Docker, Kubernetes, CI/CD, LLMOps, AgentOps, and observability for AI applications
- Experience with governance, security, compliance, and Responsible AI practices
- Preferred: experience building large-scale enterprise AI platforms
- Preferred: Google Cloud, Architecture, or Artificial Intelligence certifications
- Preferred: knowledge of the MCP and A2A protocols
- Preferred: experience in digital transformation and innovation environments
- Preferred: experience in the financial services industry or at large enterprises
- Preferred: experience working on AI governance and responsible AI initiatives
Benefits
Comp & perks- Recognized as the Best Financial Institution to Work For, according to the 2025 GPTW ranking
- Agile, digital, and customer-centric culture
- Inclusion opportunities for Black professionals, women, people with disabilities, LGBTQIA+ community members, and people of all ages
