AI Automation Engineer – Banking & Financial Services
by Adecco in Banking & Financial Services
The AI Automation Engineer – Banking & Financial Services is responsible for delivering rapid, small-scale AI-enabled automation solutions that provide measurable business value while preparing larger automation initiatives for formal technology delivery. The role focuses on designing, developing, testing, and deploying AI-powered proofs of concept, workflow automations, and business productivity solutions using Microsoft Copilot Studio, Claude Code, Appian, prompt-driven workflows, and other approved enterprise automation platforms. The position combines strong business analysis expertise with hands-on technical implementation, enabling the identification, assessment, prioritization, and delivery of lightweight AI automation opportunities that improve productivity, turnaround time, operational controls, and service quality. The successful candidate collaborates closely with business stakeholders, platform teams, technology specialists, operations, risk, compliance, and information security teams to translate business challenges into well-defined use cases, process maps, user stories, acceptance criteria, data requirements, and delivery-ready documentation. Responsibilities include designing prompt engineering strategies, agent instructions, workflow logic, validation mechanisms, and human-in-the-loop controls to improve automation reliability, usability, and governance. The role also evaluates solution feasibility, operational readiness, expected business benefits, data availability, access controls, auditability, operational risk, information security requirements, and responsible AI considerations within a regulated banking environment. The AI Automation Engineer manages the AI automation backlog through intake, triage, prioritization, dependency management, impact assessments, delivery tracking, and risk escalation while supporting Agile delivery methodologies, iterative development cycles, demonstrations, and stakeholder engagement. Additional responsibilities include preparing guidance materials, operating procedures, stakeholder communications, demonstrations, handover documentation, and user adoption activities, as well as monitoring deployed automations for usage, effectiveness, business feedback, continuous improvement, and scalability through formal delivery channels. Candidates must possess a Bachelor's degree in Business, Computer Science, Information Technology, Engineering, Data Analytics, or a related discipline, 5–10 years of experience across business analysis, process automation, digital transformation, technology delivery, product ownership, or AI-enabled operations, along with 2–3 years of hands-on experience using Microsoft Copilot Studio, Claude Code, Appian, workflow automation platforms, low-code/no-code solutions, generative AI, agentic AI concepts, prompt engineering, retrieval-based solutions, and AI-assisted business workflows within enterprise environments.