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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI engineering, architecture, and advanced technology consulting, with a strong focus on driving innovation and technology adoption across enterprise-scale AI initiatives. Proficient in leading complex AI transformation projects and mentoring cross-functional teams while ensuring alignment with business objectives.
Highest-signal resume keywords
AI Engineering LeadershipPython PrototypingAI Frameworks ExpertiseCloud Architecture ProficiencyExecutive Communication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI EngineeringArchitecture DesignPythonAI/LLM ToolsAI FrameworksDevOps PracticesCI/CDVector DatabasesObservability FrameworksPerformance Standards
Soft Skills
Technology LeadershipStakeholder ManagementInnovation MindsetChange InfluenceComplex Problem Solving
Tools & Technologies
AzureAWSGCPAzure AI FoundryHugging FaceVertex AIOpenAI CodexGitHub CopilotPineconeFAISS
Certifications & Qualifications
Microsoft Azure Solutions ArchitectAWS Solutions ArchitectMachine Learning SpecialtyCISSP
Industry Keywords
AI StrategyApplication SecurityOffensive SecurityVAPTEnterprise AI ArchitectureResponsible AI PracticesMulti-Agent SystemsAdversarial EvaluationRed Teaming FrameworksCybersecurity
Tech Stack
Tools & technologiesAWSAzureCyber SecurityGoogle Cloud PlatformPython
About the role
Key responsibilities & impact- Serve as a technology leader driving enterprise-scale AI strategy, architecture decisions, and innovation across global client engagements
- Shape how AI engineering capabilities are built, scaled, and adopted across application security and offensive security domains
- Lead front-end client conversations and define enterprise-level AI architecture standards
- Guide organizations in solving complex real-world problems using advanced AI capabilities
- Prototype solutions, validate emerging approaches, and solve complex technical challenges when required
- Define and evolve enterprise-level AI reference architectures, frameworks, and engineering standards
- Approve and guide architecture decisions across programs and client engagements
- Lead executive-level client discussions, architecture workshops, and strategic solutioning initiatives
- Drive AI engineering capability development across application security and VAPT domains
- Champion emerging AI technologies, including advanced LLM patterns, multi-agent systems, and frontier AI capabilities
- Create POCs, labs, reusable accelerators, and platform assets
- Define and scale enterprise AI platforms, reusable accelerators, and engineering ecosystems
- Establish AI engineering governance models, evaluation frameworks, performance standards, and responsible AI practices
- Guide advanced AI implementation approaches, fine-tuning strategies, optimization techniques, and system-level design
- Lead and mentor architects, engineers, and cross-functional teams
- Provide strategic oversight for complex programs and alignment with business objectives
- Contribute to go-to-market initiatives, practice-level AI propositions, and thought leadership assets
- Represent EY in client forums, innovation discussions, and external thought leadership engagements
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Engineering, AI/ML, Cybersecurity, or related field
- 12+ years of experience in AI engineering, architecture, or advanced technology consulting
- Proven experience leading complex AI transformation and architecture initiatives
- Strong track record of driving innovation and technology adoption
- Strong proficiency in Python, with ability to prototype complex AI solutions
- Deep expertise in AI/LLM tools such as OpenAI Codex, GitHub Copilot, Claude, Cursor, Gemini, or similar
- Advanced knowledge of AI frameworks including LangChain, LlamaIndex, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalents
- Strong understanding of RAG, agentic systems, multi-agent orchestration, and scalable pipelines
- Architecture-level expertise with Azure, AWS, or GCP; Azure preferred
- Experience with Azure AI Foundry, Azure OpenAI, Hugging Face, Vertex AI, or similar
- Experience with vector databases and retrieval systems such as Pinecone, FAISS, Azure AI Search, Weaviate, or equivalents
- Knowledge of observability, monitoring, and evaluation frameworks for AI systems
- DevOps, CI/CD, and platform engineering practices
- Strong technology leadership and architectural vision
- Excellent executive communication and stakeholder management skills
- Ability to translate complex AI concepts into business-aligned solutions
- Innovation mindset and passion for emerging technologies
- Ability to influence and drive change across teams and organizations
- Preferred cyber experience in enterprise-scale secure AI architecture and DevSecOps integration, or AI-driven threat modeling, adversarial evaluation, and red teaming frameworks
- Relevant certifications are preferred: Microsoft Azure Solutions Architect / AI Engineer, AWS Solutions Architect / Machine Learning Specialty, or CISSP
Benefits
Comp & perks- Flexible work environment
- World-class experiences and future-focused skills development
- Professional development and continuous learning opportunities
- Opportunities to take on leadership roles
- Mentorship and growth opportunities
- Health and wellness packages
- Rewards
- Learning opportunities
- Diverse, equitable, and inclusive culture
- Disability-related recruitment adjustments or accommodations
- Equal opportunity employment