AI Solutions Architect (Software Engineering Transformation Lead)
USD 128K-175K (estimate) Senior-level Full Time
Tasks
- Advise clients on AI transformation across SDLC
- Build business cases for AI-native adoption
- Build multi-agent systems
- Define agent evaluation loops
- Design agent orchestrated workflows for client stacks
- Design agent workflows
- Develop AI native SDLC playbook
- Establish prompt engineering standards
- Implement AI output quality gates
- Lead AI toolchain selection criteria
- Lead internal upskilling programs
- Own AI native SDLC operating model
- Represent AI native engineering capabilities in client meetings
- Translate AI signals into SDLC practice updates
Perks/Benefits
- Annual year-end party
- Coffee and snacks
- Community development activities
- Company trips
- Fitness and sport activities
- Flexible working time
- In-house entertainment facilities
- Team building
- Training on hot-trend technologies
Skills/Tech-stack
.NET | A/B | A/B Testing | AI Security | API Design | Adversarial input handling | Agent Orchestration | Agent communication | B testing | C# | Context window | Context window management | Cost Optimization | Data Drift | Data Drift Detection | Deployment | Drift Detection | Embeddings | Evaluation datasets | Fallback strategies | Go | Injection prevention | Input handling | Java | JavaScript | LLM integration | Latency optimization | MLOps | Memory systems | Model Monitoring | Model selection | Multi-Agent | Multi-agent orchestration | Observability | Output Reliability | Production Operations | Prompt engineering | Prompt injection | Prompt injection prevention | Python | RAG | Regression testing | Scalability | Software Architecture | System design | Task decomposition | Testing | Tool use | TypeScript | Window management
Education
N/A
Roles
AI | AI Architect | AI Solutions | AI Solutions Architect | Architect | Software Architect | Solutions Architect
Regions
Countries
States
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