AI Automation Engineer

KennedyPearce Consulting; England; On-site; GBP 111,000 - 185,000; Full time

Benefits offered by this job

Competitive day rate

Long-term contract with real impact

Job summary

A technology-focused financial services company is seeking a Lead AI Automation Engineer to integrate intelligent automation across core business workflows. The role involves substantial technical ownership and collaboration with product, engineering, and operations teams in a high-expectation environment. Responsibilities include designing automated solutions and embedding AI services into existing platforms. The position offers competitive compensation, and requires proven expertise in AI solutions, GCP, and UiPath, along with strong collaborative skills.

Qualifications

• Proven ability to integrate AI into automation workflows.
• Experience building and maintaining Custom GPTs or equivalent services.
• Strong understanding of AI security risks and mitigation strategies.

Responsibilities

• Design and deploy AI-enabled automation solutions.
• Embed LLM and AI services into UiPath pipelines.
• Act as a technical lead influencing standards.
• Partner with product, engineering, QA, and operations teams on end-to-end delivery
• Support and enhance hyper-critical production automations with resilience and performance focus
• 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

Skills

AI solutions implementation using Gemini and/or OpenAI APIs

Google Cloud Platform (GCP) experience

Intermediate Python proficiency

Stakeholder management skills

Experience in Agile environments

Custom GPTs

Tools

UiPath

Python

SQL

Google Cloud Platform (GCP)

Job description

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

Direct message the job poster from KennedyPearce Consulting

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.

Key Responsibilities

• 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

Additional Skills

• 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

Why This Role

• 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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