> Markdown version of [/jobs/ext/3901696-automation-support-analyst-ai-assisted-pa26autrq3136](https://www.wearedevelopers.com/jobs/ext/3901696-automation-support-analyst-ai-assisted-pa26autrq3136). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Automation Support Analyst (AI-Assisted) PA26AUTRQ3136 - **Company:** SS&C - **Location:** Basildon, UK - **Salary:** £31,339.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Databases, Knowledge Management, Machine Learning, Networking Basics, Microsoft Copilot, SQL Databases, Large Language Models, Prompt Engineering, Data Management, Blue Prism, Network Server, GPT - **Published:** October 24, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5940220047 ## About the Role Essential * Proven experience in an Operations, production support, or service-delivery environment (RPA experience is not required). * Confident, regular use of AI assistants in day-to-day work (e.g. Copilot, ChatGPT-style tools), with genuine interest in using AI responsibly to improve ways of working. * Strong analytical and troubleshooting mindset, with the ability to investigate problems methodically. * Excellent written and verbal communication skills, with the ability to explain technical issues to non-technical stakeholders. * High level of ownership, accountability, and resilience in a live operational environment. * Willingness and ability to learn new technical skills (RPA, infrastructure, data) through structured coaching and self-directed learning. Desirable * Exposure to Blue Prism or other RPA platforms (training provided if not already familiar). * Basic understanding of infrastructure concepts (servers, services, networking fundamentals). * Familiarity with SQL, or willingness to learn basic database concepts. * Awareness of prompt engineering concepts beyond everyday use (e.g. few-shot, chain-of-thought). * Financial services or regulated-industry experience. * Familiarity with incident, problem, and change management (ITIL-aligned a bonus). Success Measures * Demonstrated growth in RPA, infrastructure, and data troubleshooting capability over the first 6-12 months. * Effective, responsible use of AI tools to speed up investigation, documentation, and knowledge capture. * Positive stakeholder feedback on communication and ownership. * Reduction in repeat incidents on assigned automations as capability builds. * Successful progression toward full RPA Support Analyst capability. ## Description This role exists to grow the RPA Support team's capability by bringing in AI-literate colleagues from Operations and developing them into confident automation support professionals. The role-holder will provide second-line support for the Blue Prism automation estate, use AI assistants responsibly and effectively in their day-to-day work, and progressively build hands-on RPA, infrastructure, and data skills with structured support from the wider team. This is a development and progression role: the role-holder is not expected to arrive with deep RPA platform knowledge. What matters most is a strong production or operations support background, a sound analytical instinct, and genuine, confident use of AI tools to work smarter - plus the curiosity and discipline to build Blue Prism, infrastructure, and data capability over time. "AI-literate" here means comfortable and effective using AI assistants to add value in daily work - not, from day one, building AI models, integrating LLM APIs, or developing agentic frameworks. This role is about applying AI sensibly, critically, and responsibly to accelerate everyday support work - with genuine scope to grow into those deeper technical AI-engineering skills over time, alongside RPA, infrastructure, and data capability, as experience and the needs of the team develop., RPA Application & Production Support * Provide second-line support for Blue Prism automations across a large, business-critical estate (~250 processes), working alongside senior Support colleagues. * Investigate incidents and failures using logs, control room data, process design artefacts, and runtime behaviour. * Learn to distinguish process defects from environment, infrastructure, or data-related root causes, escalating appropriately while this skill is developing. * Help identify and implement fixes for straightforward bugs, configuration issues, and minor enhancements, with support from senior team members. AI-Assisted Ways of Working * Use approved AI assistants (e.g. Copilot-style tools, enterprise LLM chat tools) to accelerate incident investigation, draft documentation, and summarise findings. * Apply a working awareness of core prompting concepts - being specific, giving context, iterating on a prompt - to get more useful results from AI tools. * Critically evaluate AI-generated output before acting on it: treat AI as a drafting and acceleration aid, not an authority, and sanity-check suggestions against the evidence. * Contribute practical examples and lessons learned to help the team build a shared, sensible approach to AI-assisted support. * Apply awareness of Responsible AI principles - data privacy, model limitations, and enterprise security guardrails - in all AI-assisted work. Minor Development & Change Delivery (Developing Capability) * Build confidence making small, low-risk changes to existing Blue Prism automations under guidance, in line with team standards. * Work alongside developers and senior support colleagues to understand process logic, exception handling, and change-quality expectations. * Coordinate low-risk changes through the agreed change control, release, and communication process. Infrastructure & Data Awareness * Build a working understanding of the platform and environment: servers, services, connectivity, scheduling, and resource constraints. * Learn to recognise common environment and data-related failure patterns (e.g. credential issues, transaction backlogs, performance degradation) and know when and how to escalate to infrastructure or database teams. * Support environment stability through proactive checks and monitoring insight, growing this capability over time. Stakeholder Management & Communication * Communicate clearly with operational stakeholders during incidents, covering impact, workaround, and resolution. * Translate technical issues into language business stakeholders can understand - a strength this audience typically already brings from Operations. * Build strong working relationships across Operations, Technology, and Business functions. Incident, Problem & Service Management * Manage incidents and defects through to resolution, remaining calm and methodical, and escalating appropriately during high-severity events. * Maintain accurate records in ticketing, incident, and change management systems. * Contribute to problem management by flagging recurring issues for root-cause investigation. Knowledge Sharing & Capability Growth * Create and maintain support documentation, runbooks, and troubleshooting guides - using AI tools to accelerate drafting where appropriate. * Actively seek coaching and mentoring from senior Support colleagues to build RPA, infrastructure, and data skills. * Help the wider Support team develop practical, responsible habits around AI-assisted working.