Application Support Specialist

Application Support Specialist

Contract type: Permanent | Location: London | Working style: Hybrid (50% home / office).

We’re excited to introduce a brand‑new opportunity at Royal London Asset Management, created as part of our AI acceleration journey. As an Application Support Specialist, you’ll join a small, highly experienced team that supports and enhances the applications our business relies on.

Responsibilities

• Act as the first escalation point for issues with AI applications and solutions.
• Diagnose issues and help manage problems to resolution at an application level focusing on AI.
• Explore and evaluate ways for AI to assist current business processes using tools such as OpenAI APIs and Azure Foundry.
• Aid the business with the ongoing support of AI‑driven solutions and applications.
• Provide technical support to a range of internal and external systems, particularly front‑office systems and enterprise data management solutions.
• Apply responsible AI practices, including bias mitigation, explainability and governance.
• Collaborate with cross‑functional teams to integrate AI solutions into existing systems.
• Learn to support APIs, work with data sources, and support solutions built within cloud and platform services.
• Monitor and support Azure‑hosted applications including use of Azure Monitor, Log Analytics and diagnostic logs to investigate incidents and performance issues.
• Contribute to documentation, runbooks, onboarding materials and knowledge‑sharing within the squad and wider application support team.
• Stay updated with the latest advancements in AI and machine‑learning technologies.

Qualifications

• First‑Class/2:1 degree in Computer Science, Artificial Intelligence, Engineering or Mathematics. Recent graduates, MSc and PhD candidates are encouraged to apply.
• Skilled in object‑oriented programming using Python or C#.
• Understanding of data structures and algorithms.
• SQL literacy with the ability to query, manipulate and analyse structured data.
• Familiarity with RAG, LLM models, agentic AI or MCPs.
• Understanding of REST APIs and OpenAPI standards.
• Basic Git/version control (branching, merging, conflict resolution).
• Desirable: experience dealing with users and/or vendors from both a business and technical perspective.
• Desirable: prior internship or work experience in a financial organisation within application support or AI team.
• Desirable: experience with AI development tools and platforms such as Azure, Snowflake, AWS, OpenAI or LangStack.
• Knowledge of agentic AI and evidence of self‑learning.

Assessment

• Analytical problem‑solving.
• SQL‑based data manipulation.
• Understanding of effective use of LLMs.
• Evaluation of soft skills, including communication, teamwork, self‑motivation and the ability to work effectively in a collaborative environment.

Benefits

• 28 days annual leave plus bank holidays.
• Up to a 14% employer‑matching pension scheme.
• Private medical insurance.

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