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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing full-stack AI/ML applications and scalable AI solution architectures, with a strong focus on LLMOps/MLOps practices and customer engagement. Proven ability to mentor teams and standardize successful solution patterns into repeatable frameworks.
Highest-signal resume keywords
Full-Stack AI/ML Application DevelopmentLLMOps/MLOps PracticesAI Solution Architecture DesignCustomer Engagement and StrategyMentorship and Internal Enablement
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringData EngineeringApplied AI/ML SkillsBuilding ML SystemsGenAI/Agentic ApplicationsFoundation ModelsContext EngineeringSemantic SearchRetrieval-Augmented Generation (RAG)Agentic Workflows
Soft Skills
Collaborative MindsetMentorshipAutonomous OperationCommunication with Executives
Tools & Technologies
Cloudera PlatformAWSAzureGCPSparkIcebergNiFiNVIDIA GPUsInference OptimizationDistributed AI Workloads
Certifications & Qualifications
BScMScPhD in Related Field
Industry Keywords
AI RoadmapsSolution DesignDeploymentProduction-Grade SystemsSecurityGovernanceCompliance
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformOpen SourceSpark
About the role
Key responsibilities & impact- Develop full-stack AI/ML applications on Cloudera to demonstrate how AI and agentic systems solve enterprise use cases
- Work directly with strategic customer teams to move AI and agentic use cases from early prototype toward production readiness
- Advise customer leaders on AI roadmaps, solution design, deployment, and AI use cases
- Standardize successful solution patterns into repeatable reference architectures, productized solutions, starter kits, and internal playbooks
- Act as a thought leader and mentor Cloudera teams
- Contribute to resources that grow Cloudera’s AI capability
- Channel field and customer signals back to Product teams to improve AI platforms and products
- Combine remote and in-person customer engagement
- Travel occasionally for on-site customer engagement, industry events, and team meetings, up to 20% depending on business needs
Requirements
What you’ll need- 7+ years of experience building and deploying production-grade systems
- 2–4 years of experience building ML systems or GenAI/agentic applications
- Strong hands-on software engineering, data engineering, and applied AI/ML skills
- Experience building full-stack ML applications or agentic systems using modern AI frameworks and tooling
- Experience with foundation models, context engineering, fine-tuning, semantic search, Retrieval-Augmented Generation (RAG), and agentic workflows
- Deep understanding of LLMOps/MLOps practices including evaluation, observability, serving, monitoring, and lifecycle management
- Experience designing and implementing scalable AI solution architectures aligned to enterprise standards, including security, governance, and compliance
- Ability to engage directly with technical and executive customer audiences and translate needs into actionable technical strategy
- Ability to operate autonomously in ambiguous, fast-moving customer environments
- Collaborative mindset and passion for enabling others through mentorship, internal enablement, or reusable tooling
- BSc/MSc/PhD in a related field or equivalent experience
- Experience with cloud technologies such as AWS, Azure, or GCP is an advantage
- Experience using the Cloudera platform is an advantage
- Experience with open source big data technologies such as Spark, Iceberg, or NiFi is an advantage
- Experience with AI infrastructure and runtime technologies including NVIDIA GPUs, inference optimization, model serving, or distributed AI workloads is an advantage
- This role is not eligible for immigration support or relocation
Benefits
Comp & perks- Generous PTO Policy
- Unplugged Days supporting 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