GenAI Specialist

Key Highlights

• Designing and building production-grade agentic workflows, including tool and API use, orchestration, context management, grounding, guardrails, and safe fallback or handover paths.
• Integrating AI systems with internal APIs, data sources, and customer journeys, and building reliable data-ingestion, retrieval, and grounding pipelines that enable relevant and personalized support.
• Establishing the evaluation, testing, and observability practices needed to operate reliable AI systems, measuring quality, safety, task completion, latency, cost, and failure modes, and using those insights to support controlled self-improvement over time.
• Setting technical direction and making sound architectural decisions across models, frameworks, data, security, reliability, and platform design.
• Working closely with the Product Owner, engineers, and business stakeholders to turn customer problems into technically credible, high-value solutions, while raising the team’s technical bar through hands-on collaboration and knowledge sharing.