AI Evangelist (Senior Technology Architect)

E-Solutions; United Kingdom; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading AI solution provider in the United Kingdom seeks an experienced AI Solutions Architect to drive enterprise-level AI transformations. The ideal candidate will possess extensive knowledge in Generative AI, prompt engineering, and model tuning, along with strong consulting abilities. Responsibilities include designing AI solutions, leading a team of engineers, and presenting solutions to clients. This role offers the opportunity to work on innovative projects within a collaborative environment.

Qualifications

• Experience in Enterprise-grade RAG-based solutions with LLMs.
• Ability to design enterprise-level AI solutions.
• Strong articulation and stakeholder management skills.

Responsibilities

• Transform business problems into analytical solutions.
• Lead a team of AI/software engineers.
• Conduct demos and workshops for client stakeholders.

Skills

Experience of architecting and solutioning in Gen AI

Prompt engineering

Model tuning

Consulting skills

Python with AI/ML frameworks

Cloud platforms

Tools

PyTorch

TensorFlow

MLOps tools

Docker

Kubernetes

Job description

Required

• Experience of architecting and solutioning in Gen AI, Agentic AI, classic ML and automation space
• Experience and good understanding of Prompt engineering, RAG pipelines, Supervised/ unsupervised Model tuning, MLOps/ LLMOps pipelines, and AI observability
• Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and vector databases (Pinecone, Weaviate, FAISS etc.).
• Experience in architecting and scaling GenAI chatbots
• Experience in Agentic AI solutions. Good knowledge of Agentic AI frameworks (LangGraph, AutoGen, CrewAI) and orchestration tooling (MCP Servers) in at least 1 Hyperscaler
• Design AI interventions (GenAI, Agentic AI, ML) for application support, monitoring, and business ops.
• Good understanding of Responsible AI principles
• Ability to design enterprise level AI/Gen AI platform/solutions with client's existing enterprise stack. Conversant with end-to-end Generative and Agentic AI solutions for enterprise use cases. Design familiarity with multi-agent systems capable of reasoning, planning, and executing tasks autonomously.
• Evaluate and select appropriate models, frameworks, and orchestration tools.
• Ability to transform business problems into analytical solutions, fostering cross functional collaboration between various stakeholders like business, data science and engineering and building integrated solutions
• Strong articulation, stakeholder management and consulting skills
• Experience working on client proposals - RFI/ RFP/ Orals stages
• Experience in solution presentations to client stakeholders; conduct demos and workshops.
• Experience leading team of AI/ software engineers
• Experience driving productivity and cost optimisations
• Skills: Python with AI/ML frameworks (PyTorch, TensorFlow). Prompt Engineering, Langchain, Langsmith/ Langfuse, Gen AI / Agentic AI, Cloud platforms (Azure AI Foundry, AWS Sagemaker/Bedrock, GCP Vertex AI), MLOps/ LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes).

Preferred

• Delivered AI projects within Agile frameworks
• Experience on Model Feedback Analysis, topic modelling, sentiment analysis
• Knowledge of AgentOps and OpenTelemetry
• Understanding of Network Security Concepts, Network Telemetry and Analytics
• Understanding of Cloud computing and Virtualization
• Exposure to APM/Observability tools (Dynatrace, AppDynamics, Datadog, Splunk etc)
• Exposure to onshore-offshore model working with professionals spread across the globe
• Participation in AI events, workshops and summits