Enterprise Gen AI Solutions Architect
Tasks
- Assess agentic AI readiness
- Build embedding and indexing pipelines
- Build secure observable agentic systems
- Coordinate stakeholders and mentoring
- Create evaluation pipelines
- Define reference architectures
- Design API and event integrations
- Design Multi-Agent Ecosystems
- Develop responsible AI frameworks
- Engineer cloud architectures
- Establish cloud cost governance
- Implement RAG policies
- Implement observability and monitoring
- Integrate agents with enterprise systems
- Mitigate bias and data risk
- Optimize vector search architectures
- Provide technical governance and standards
- Track data provenance
Perks/Benefits
- Flexible working
- Hybrid working
- Income protection insurance
- Parental leave
- Study leave
- Wellbeing program
Skills/Tech-stack
AI Agents | API Integration | AWS | Agent Orchestration | Automated Evaluation | Azure | Bias Mitigation | Cloud Architecture | Cloud platform | Containerization | Context Management | Data provenance | Embeddings | Enterprise Search | Event Driven | Event-driven architecture | Generative AI | Google Cloud | Google Cloud Platform | Guardrails | Human-in-the-loop | Infrastructure as Code | Language Models | Large Language Models | Microservices | Model Context Protocol | Monitoring | Observability | Prompt engineering | Python | RAG | REST APIs | Responsible AI | Retrieval-Augmented Generation | SQL | Terraform | The Loop | Tool use | Vector Search | “as-code”
Education
N/A
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