- Company Name
- CSI GLOBAL LTD
- Job Title
- AI Engagement Senior Architect
- Job Description
-
Job title: AI Engagement Senior Architect
Role Summary:
Lead architecture of GenAI and Agentic AI solutions on Google Cloud. Translate business challenges into scalable AI systems, guide engineering teams, and act as the primary technical liaison for client engagements across enterprise AI programs.
Expactations:
• Deliver end‑to‑end GenAI system design (data pipelines → vector DB → LLM orchestration → evaluation → deployment).
• Present architecture workshops to CXO, product, and engineering stakeholders.
• Ensure secure, governed, and cost‑efficient cloud deployments.
• Provide pre‑sales, RFP responses, and post‑delivery reviews.
Key Responsibilities:
- Define AI/GenAI solution architecture using LLMs, RAG, multimodal models, and agentic frameworks.
- Lead architecture workshops and translate business problems into AI use cases, PoVs, PoCs, and roadmaps.
- Build and iterate on agentic automation workflows with LangChain, LlamaIndex, Haystack, CrewAI, Vertex AI Agent Builder, etc.
- Implement MLOps/LLMOps best practices (CI/CD, model registry, monitoring).
- Design scalable AI workloads on GCP (Vertex AI, BigQuery, GCS, Cloud Run, Dataflow, Pub/Sub, GKE).
- Ensure enterprise‑grade security, governance, privacy, and model risk controls.
- Act as technical face for client engagements, support pre‑sales, solution proposals, and technical reviews.
Required Skills:
- GenAI architecture (RAG, prompt engineering, embeddings, guardrails).
- Agentic AI (autonomous workflows, tool invocation).
- LLMs (GPT, Gemini, Llama, Claude; fine‑tuning, safety, evaluation).
- ML Engineering (supervised/unsupervised ML, pipelines, feature engineering).
- GCP Architecture (Vertex AI, GCS, BigQuery, GKE, Dataflow, Pub/Sub).
- MLOps/LLMOps (CI/CD, model registry, monitoring, evaluation).
- Programming: Python (mandatory), REST/GraphQL APIs.
- Vector Databases: Pinecone, Chroma, Weaviate, Vertex Vector Search.
Required Education & Certifications:
- Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field.
- Cloud Architect certifications preferred: Google Professional Cloud Architect, Google Machine Learning Engineer.
Sheffield, United kingdom
Hybrid
Senior
27-01-2026