AI Automation Engineer

KennedyPearce Consulting provided pay range

This range is provided by KennedyPearce Consulting. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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We are partnering with a high-performance, technology-driven financial services organisation operating in a mission-critical, low-tolerance environment.

They are seeking a Lead AI Automation Engineer to take ownership of intelligent automation across core business workflows, embedding AI capabilities directly into production-grade RPA platforms.

This is a long-term contract role with significant technical ownership, working closely with senior product, engineering, and operations stakeholders in a fast-paced, high-expectation setting.

This role is 5 days onsite and best suited to candidates who thrive in collaborative, high-accountability environments.

• Design, build, and deploy AI-enabled automation solutions supporting critical business processes


• Embed LLM and AI services into UiPath automation pipelines using Python and cloud-native tooling


• Act as a technical lead across intelligent automation, influencing standards, architecture, and best practices


• Partner closely with product, engineering, QA, and operations teams on end-to-end delivery


• Support and enhance hyper‑critical production automations with a focus on resilience and performance


• Hands‑on experience implementing AI solutions using Gemini and/or OpenAI APIs


• Strong Google Cloud Platform (GCP) experience across compute, data, and AI services


• Experience building and maintaining Custom GPTs, AI agents, or equivalent LLM‑based services


• Proven ability to integrate AI into automation workflows using Python, UiPath, and cloud‑native services


• Intermediate Python proficiency for automation extensions, utilities, and API integrations


• Strong understanding of AI security risks, governance, and mitigation strategies

• SQL experience for reporting, automation, or workflow integration (nice to have)


• Experience working in Agile, product‑oriented environments


• Strong stakeholder management and communication skills


• Comfortable operating in high‑pressure, high‑accountability environments

• Long‑term contract with real ownership and impact


• Work on cutting‑edge AI‑driven automation at scale


• Exposure to elite engineering standards and complex systems


• Competitive day rate aligned to senior‑level expertise

Seniority level

• Mid-Senior level

Employment type

• Full‑time

Job function

• Information Technology

Industries

• Investment Banking, Banking, and Financial Services

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