Application Support Analyst

Avensys Consulting UK; Cambridge; On-site; GBP 60,000 - 80,000; Part time

Job summary

A leading consulting firm in technology is seeking a Mid-Senior level Solution Architect in Cambridge. The role requires extensive experience in designing scalable software systems, proficiency in Python, and strong communication skills. Applicants should have a solid understanding of AI/ML concepts and data integration techniques. This is a contract position with a focus on IT services and consulting.

Qualifications

• 8+ years of experience in a technical role, including client-facing experience.
• Proven ability to design scalable software systems.
• Hands-on experience with data pipelines and enterprise data integration.

Skills

Solution Architecture

Enterprise Architecture

Senior-level Software Engineering

Microservices

Event-driven architecture

AI concepts

Python

Docker

Kubernetes

Communication skills

Job description

Overview

Experience: 8+ years of experience in a technical role such as Solution Architecture, Enterprise Architecture, or senior-level Software Engineering, with at least 3+ years in a client-facing capacity.

Architectural Expertise: Proven ability to design and document complex, distributed, and scalable software systems. Deep understanding of microservices, event-driven architecture, and MCP-first design principles.

AI/ML Acumen: Strong foundational knowledge of modern AI concepts, including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and vector databases (e.g., Qdrant, Pinecone, Weaviate).

Data Integration: Hands-on experience designing data pipelines and integrating with diverse enterprise data sources (e.g., relational databases like PostgreSQL, unstructured document stores like SharePoint, APIs, and data warehouses).

Cloud Proficiency: Experience architecting solutions on a major cloud platform.

Technical Foundation: Proficiency in Python is strongly preferred. Familiarity with containerization (Docker) and orchestration (Kubernetes) is essential.

Communication: Exceptional verbal and written communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.

Preferred Qualifications (Nice to Have)

Direct, hands-on experience designing or building systems using agentic AI frameworks (e.g. LangGraph, CrewAI).

Knowledge of semantic web technologies, including ontologies (OWL/RDF) and familiarity with the concepts behind the Model Context Protocol (MCP) or similar advanced agentic architectures.

Experience with modern observability stacks, particularly OpenTelemetry.

Knowledge of enterprise security patterns and identity management systems.

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology

Industries

• IT Services and IT Consulting

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