Benchmark AI-driven findings against human-led assessments, measure detection accuracy and coverage, and continuously optimize capabilities based on validated real-world results.
Agentic AI Architecture: Design the end-to-end architecture for FAM agentic AI solutions, including agent orchestration, workflow design, state management, tool integration, human approval points and system interactions, using suitable frameworks such as LangGraph or CrewAI. Architecture decisions are subject to consultation with DSAD’s Platform Team.
Provide first-line engineering support for onsite operational issues, including troubleshooting hardware, network, and software problems, and firmware compliance.
Collaborate with data scientists to improve feature selection, feature engineering, and enable end-to-end AI workflows from model training to deployment and monitoring.
Solution Guidance & Quality Assurance: Partner with solution architects and engineering leads to shape designs (batch/stream, APIs, real-time scoring, vector stores/RAG, feature pipelines) and assure conformance to blueprint pre‑build, during build, and pre‑go‑live.