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aws python kubernetes mlops generative ai📋 Description
- Define enterprise-wide architecture for generative AI and agentic systems
- Design scalable patterns and integrate foundation models into enterprise environments
- Architect and implement agentic AI systems, with workflows and integrations
- Establish cloud-native infra and MLOps pipelines for deployment and lifecycle
- Collaborate across teams, mentor colleagues, and drive AI innovation
- Lead projects from concept to production aligned with business goals
🎯 Requirements
- Bachelor’s or Master’s in CS, AI/ML, or related field
- 10+ years in software architecture with hands-on AI/ML
- Strong expertise in generative AI, foundation models, and agentic AI
- Proficiency in Python and AI/ML frameworks; AWS/Azure/GCP
- Proven ability to communicate complex concepts and influence decisions
- Willingness to work in the office 3 days/week
🎁 Benefits
- Deliver high-impact tech solutions for Tier 1 financial institutions
- Work in a collaborative, flat, entrepreneurial consulting culture
- Access continuous learning, training, and industry certifications
- Be part of a team shaping the future of digital financial services
- Help shape the future of digital transformation across FS & Energy
- Medical, dental, and vision coverage
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