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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI and machine learning engineering, with a strong focus on developing production-grade reference architectures and technical prototypes tailored for the Financial Services industry. Proven ability to translate R&D advancements into actionable business strategies and effectively communicate with C-level executives.
Highest-signal resume keywords
AI/ML Engineering LifecycleFinancial Services ExperienceTechnical PrototypingData Analytics Solutions ImplementationExceptional 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 FrameworksMachine LearningData OrchestrationHybrid Cloud InfrastructureReference Architecture DesignTechnical PrototypingAdvanced Data AnalyticsLLMsRAG ArchitectureVector Databases
Soft Skills
Exceptional Communication SkillsStrategic ThinkingCollaboration
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceBachelor’s Degree in EngineeringBachelor’s Degree in Mathematics
Industry Keywords
Financial ServicesCustomer RetentionSales EnablementMarket TrendsThought LeadershipC-Level PresentationsAI Reference ArchitecturesInternal EnablementPipeline DevelopmentIndustry-Specific Use Cases
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Support global Sales, R&D, and Customer Retention in the Financial Services industry
- Leverage AI, data analytics, and innovative R&D to track market trends, shape business strategies, and turn insights into actionable plans
- Guide Cloudera teams through AI-driven transformation with knowledge, tools, and R&D advancements
- Create and manage AI-focused content
- Support internal enablement and pipeline development
- Help acquire new clients through industry-specific use cases
- Work with R&D teams to integrate the latest AI innovations into solutions
- Lead internal industry communities
- Represent Cloudera as a subject matter expert at external events and drive thought leadership
- Translate Product R&D advancements into business outcomes, sales playbooks, and go-to-market strategies for Financial Services
- Advise key customer accounts and present to C-level executives
- Collaborate with Sales, Product Management, Engineering, and Marketing
- Provide industry-specific AI expertise during high-value sales cycles and support ROI calculation
- Represent Cloudera at conferences, panels, and through written collateral
- Design, develop, and deliver AI reference architectures, technical prototypes, and MVPs for Financial Services use cases
Requirements
What you’ll need- Proven ability to build technical prototypes and design production-grade reference architectures
- Deep, hands-on familiarity with enterprise AI/ML engineering lifecycles, data orchestration, hybrid cloud infrastructure, and modern AI frameworks, including LLMs, RAG architecture, and vector databases
- 10+ years within the Financial Services ecosystem
- Track record of implementing AI, machine learning, or advanced data analytics solutions in a production environment
- Exceptional communication skills and ability to pivot from technical whiteboarding to high-level business strategy presentations
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a highly technical discipline
- This role is not eligible for immigration sponsorship
Benefits
Comp & perks- Generous PTO Policy
- Unplugged Days to support work-life balance
- Flexible WFH Policy
- Mental & Physical Wellness programs
- Phone and Internet Reimbursement program
- Access to Continued Career Development
- Comprehensive Benefits and Competitive Packages
- Paid Volunteer Time
- Employee Resource Groups