Gen AI Data Engineer/Architect

Role & responsibilities

KEY RESPONSIBILITIES

• Deep expertise in all aspects around Agentic ecosystem from tooling to tech
• Expertise in system design wrt polyglot technology
• Able to do Architecture ideation based on the org policies on AISDLC from governance to security
• Deep expertise in incorporating AI elements into business solution and software engineering
• Define end to end technical architecture across front end API microservices integration data and deployment layers Create solution blueprints reference architectures design patterns and engineering guardrails that can be consumed by multiple squads
• Create blueprints for Goals Planning artifacts Model Optimization Handoffs Skills Output and Validation blueprints
• Guide engineering teams on design decisions related to scalability resilience security performance maintainability and observability
• Integrate AI assisted engineering practices into the SDLC including requirements refinement design exploration code
• generation support test acceleration and documentation
• Evaluate fit for purpose use of Claude AI and other LLM capabilities for software engineering productivity knowledge
• management and delivery acceleration
• Collaborate with business analysts full stack engineers quality engineers and delivery leaders to translate business goals into robust technical execution
• Review architecture and code for adherence to standards reusable patterns security expectations and cloud native
• engineering principles
• Support API strategy event driven architecture integration design data movement patterns and service contract
• governance
• Mentor engineers and technical leads on modernization AI augmented delivery and pragmatic architecture practices

Preferred candidate profile

Perks and benefits