AI Engagement Senior Architect
Posted 1 week ago by Thrive IT Systems
Negotiable
Undetermined
Hybrid
Sheffield, England, United Kingdom
Summary: The AI Engagement Senior Architect role involves designing and implementing end-to-end Generative AI and Agentic AI solutions using Google Cloud Platform. The position requires expertise in multi-agent architectures, LLM solution strategies, and data architecture, with a focus on ensuring compliance and security in AI deployments. Collaboration with cross-functional teams is essential to translate business requirements into scalable AI blueprints. Experience with banking-related AI use cases is a plus.
Key Responsibilities:
- Architect end-to-end GenAI and Agentic AI solutions using Google Cloud Platform (GCP).
- Design multi-agent architectures supporting Agent to Agent (A2A) communication and collaboration.
- Define LLM solution strategy, model selection, fine-tuning, and retrieval augmented generation (RAG) pipelines.
- Establish context and memory engineering frameworks, embedding stores, and vector databases.
- Architect prompt management and function calling layers for integration between agents, APIs, and business logic.
- Oversee ML and data architecture, data pipelines, model lifecycle management, and operationalization.
- Design API and microservice integration patterns for secure communication among agents and backend systems.
- Implement governance, observability, and compliance frameworks for GenAI deployments.
- Evaluate and recommend emerging Agentic AI frameworks and GCP native innovations.
- Collaborate with Data Engineers, AI Engineers, and Product teams to deliver scalable AI blueprints.
Key Skills:
- Application Architecture
- LangChain
- Amazon Bedrock
- Architecture Patterns and Styles
- Generative AI/Open AI/Vector DB
Salary (Rate): undetermined
City: Sheffield
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Role-AI Engagement Senior Architect Mode-Hybrid-2 Days from Sheffield Mode-FTE/Contract(6-9 Months) Architect end to end GenAI and Agentic AI solutions using Google Cloud Platform GCP including Vertex AI APIs and Agent Development Kit ADK Design multiagent architectures supporting Agent to Agent A2A communication orchestration and collaboration across diverse enterprise functions Define LLM solution strategy model selection finetuning grounding and retrieval augmented generation RAG pipelines for contextual accuracy Establish context and memory engineering frameworks embedding stores vector databases and persistence strategies Architect prompt management and function calling layers for seamless integration between agents APIs and enterprise business logic Oversee ML and data architecture data pipelines model lifecycle management and operationalization Design API and microservice integration patterns to enable secure low latency communication among agents backend systems and UIUX layers Implement governance observability and compliance frameworks for GenAI deployments ensuring alignment with enterprise data security and regulatory standards Evaluate and recommend emerging Agentic AI frameworks LLMOps tools and GCP native innovations Gemini ADK Agent Builder for continuous architecture evolution Collaborate with Data Engineers AI Engineers and Product teams to translate business requirements into scalable AI blueprints and ensure seamless delivery across agentic ecosystems Experience with banking related AI GenAI use cases will be a plus Skills Mandatory Skills : Application Architecture Good to Have Skills : LangChain, Amazon Bedrock, Architecture Patterns and Styles, Generative AI/Open AI/Vector DB Recruiter's Email : shikharsharma@thriveitsystems.com