Gen AI Solutions Architect – Multi-Cloud Platform

About the role

We are seeking an experienced Gen AI Solutions Architect to design and deliver enterprise-grade Generative AI and Agentic AI solutions across AWS, Azure and Google Cloud Platform. You will translate business objectives into secure, scalable and cost-effective architectures using technologies such as Retrieval-Augmented Generation (RAG), AI agents, large language models and vector search. The role combines solution architecture, hands-on technical leadership, client engagement and delivery governance—from early-stage discovery and proof of concept through MVP, production deployment and ongoing operations.

Key responsibilities

• Translate business requirements into Gen AI and Agentic AI solution architectures, including RAG and multi-agent systems.
• Own end-to-end architecture across applications, data, integrations, cloud infrastructure, security and observability.
• Provide technical leadership for client opportunities, solution proposals and implementation programmes.
• Lead hands-on prototyping and proofs of concept to validate designs and progress successful concepts into production-ready MVPs.
• Establish LLMOps practices covering evaluation, tracing, observability, guardrails, prompt versioning and quality metrics.
• Design batch and streaming data pipelines, vector-search solutions, APIs, events and agent-tool contracts.
• Evaluate commercial and open-source models, platforms and serving approaches based on performance, scalability and cost.
• Embed security and privacy by design using Zero Trust, IAM, OAuth/OIDC, secrets management, KMS and data-minimisation principles.
• Define delivery roadmaps, estimates and technical backlogs for multidisciplinary engineering teams.
• Conduct architecture, design and code reviews and maintain appropriate technical governance.

About you

• At least 12 years of enterprise application, data-platform or solution-architecture experience.
• At least two years of experience designing production-grade Generative AI solutions.
• At least three years of hands-on experience with each of AWS, Microsoft Azure and Google Cloud Platform.
• At least one year of hands-on experience with Generative AI and Agentic AI technologies.
• Strong knowledge of data science, machine learning and enterprise AI architecture.
• Hands-on experience with at least one RAG or agent framework, such as LangChain, LangGraph, DSPy, OpenAI tool use, Anthropic tool use or Databricks Agents.
• Practical experience with LLM evaluation, AI observability, prompt management and AI-focused CI/CD.
• Experience with MLflow, OpenTelemetry or comparable monitoring and tracing platforms.
• Strong knowledge of containers, Kubernetes, serverless architecture and Infrastructure as Code using Terraform or CloudFormation.
• Experience with lakehouse technologies such as Delta Lake, Apache Iceberg or Apache Hudi.

Percept Solutions is expanding and actively seeking talented individuals. We encourage applicants to follow Percept Solutions on LinkedIn at https://www.linkedin.com/company/percept-solutions/ to stay informed about new opportunities and events.

EA Licence No.:18S9405 / EA Reg. No.:R1330864