AI Technical Lead IT-UK

Job Title: AI Technical Lead - IT Location: SPAIN / UK - Harrogate / Remote

WHO WE ARE

Certinia delivers a Services-as-a-Business platform that powers and connects all aspects of services operations, from services estimation and delivery to customer success management and financial planning and accounting. The company’s Professional Services Automation (PSA), Customer Success, and ERP solutions delivered on Salesforce’s leading cloud platform, provide services businesses with the intelligence and agility to deliver high-quality services, elevate customer experiences and accelerate growth. Headquartered in Austin Texas, with offices around the world, Certinia is backed by Haveli Investments, General Atlantic and Salesforce Ventures. For more information, visit www.certinia.com.

THE ROLE

Reporting to the Senior Director, Global IT, you are the AI technical lead within the IT Team for Certinia’s internal AI transformation. You will work hand-in-hand with an AI Business Analyst to identify high-impact enterprise processes and automate them using robust AI technologies. This is an execution-focused role: you will utilise existing, best-in-class AI tools to build scalable solutions that drive organisational acceleration and measurable ROI.

WHAT YOU WILL DO IN THIS ROLE

• Lead Technical Execution: Act as the primary builder for Certinia’s internal AI transformation. Turn high-level process goals into functioning, automated realities.
• Work Autonomously: Operate with a high degree of independence. You are responsible for taking a concept from the requirements phase through to a live, measurable result with minimal supervision.
• Drive Process Transformation: Execute top-down process improvements by integrating AI into enterprise-grade workflows to accelerate organisational adoption.
• Partner with the AI Business Analyst: Work hand-in-hand with the Analyst to validate technical feasibility and deploy solutions that meet the ROI and TTV objectives.
• Utilise Existing AI Technology: Hands-on configuration and deployment of established AI tools (e.g., Salesforce, Gemini, GCP, Claude, AWS) to solve immediate business challenges.
• Accelerate Time-to-Value (TTV): Focus on rapid implementation and scaling of solutions. Move quickly from identification to a live, production-ready state.
• Build Robust Automations: Ensure all AI-driven processes are backed by enterprise-grade technology, robust data pipelines, and reliable API integrations.
• Report on Service Health: Provide the Senior Director, Global IT with data-driven insights into the performance, health, and ROI of deployed AI services.
• Maximise Investment: Identify and unlock underutilised AI capabilities within the current technology stack to eliminate manual overhead and operational friction.
• Adopt AI Guardrails: Collaborate with the Security team to ensure all internal AI implementations remain compliant with InfoSec pillars and data privacy standards.

WHAT YOU NEED TO BE SUCCESSFUL IN THIS ROLE

• Execution Experience: 8+ years in IT or Software Engineering, with at least 3 years in a technical lead role delivering enterprise-grade process automation.
• AI Implementation Track Record: Proven experience utilising existing AI/ML technologies to transform business processes and mitigate LLM-specific risks (e.g., prompt injection and data leakage).
• Leadership Interfacing: Demonstrated experience engaging with Senior Leadership for requirements gathering and delivering high-impact technical demonstrations.
• Process Transformation Mindset: Deep understanding of enterprise-grade business processes and how to apply AI to accelerate ROI and shorten Time-to-Value (TTV).
• Framework Awareness: Familiarity with SOC 2 and ISO 27001 standards, with a focus on ensuring AI implementations align with ISO 42001 (AI Management System) readiness.
• Hands-on Cloud Expertise: Direct experience implementing and securing solutions within major cloud and SaaS environments, specifically AWS, GCP and Salesforce.
• Robust Engineering Standards: Proficient in building reliable data pipelines and API integrations that ensure AI outputs are accurate and enterprise-ready.
• Composure Under Pressure: Proven ability to lead technical deployments through high-pressure phases, such as rapid scale-ups or critical process migrations, with clarity.
• Cross-Functional Partnership: Strong ability to work in a “pod” structure with an AI Business Analyst, providing the technical “how” to meet high-level business “whats.”.
• Technical Storytelling: Strong ability to translate technical AI constraints and successes into clear business language.
• Problem Solving: Proficient in analysing legacy process bottlenecks and solving them using industry-best AI practices and existing technology stacks.

WHAT ELSE WOULD BE GREAT

• AI Tooling: Experience with AI orchestration layers.
• Prompt Engineering: Skill in refining LLM outputs for high-accuracy enterprise tasks.
• Agile Delivery: Experience in “Sprint” environments where speed and ROI are the primary measures of success.

• Execution Experience: 8+ years in IT or Software Engineering, with at least 3 years in a technical lead role delivering enterprise-grade process automation.
• AI Implementation Track Record: Proven experience utilising existing AI/ML technologies to transform business processes and mitigate LLM-specific risks (e.g., prompt injection and data leakage).
• Leadership Interfacing: Demonstrated experience engaging with Senior Leadership for requirements gathering and delivering high-impact technical demonstrations.
• Process Transformation Mindset: Deep understanding of enterprise-grade business processes and how to apply AI to accelerate ROI and shorten Time-to-Value (TTV).
• Framework Awareness: Familiarity with SOC 2 and ISO 27001 standards, with a focus on ensuring AI implementations align with ISO 42001 (AI Management System) readiness.
• Hands-on Cloud Expertise: Direct experience implementing and securing solutions within major cloud and SaaS environments, specifically AWS, GCP and Salesforce.
• Robust Engineering Standards: Proficient in building reliable data pipelines and API integrations that ensure AI outputs are accurate and enterprise-ready.
• Composure Under Pressure: Proven ability to lead technical deployments through high-pressure phases, such as rapid scale-ups or critical process migrations, with clarity.
• Cross-Functional Partnership: Strong ability to work in a “pod” structure with an AI Business Analyst, providing the technical “how” to meet high-level business “whats.”.
• Technical Storytelling: Strong ability to translate technical AI constraints and successes into clear business language.
• Problem Solving: Proficient in analysing legacy process bottlenecks and solving them using industry-best AI practices and existing technology stacks., * AI Tooling: Experience with AI orchestration layers.
• Prompt Engineering: Skill in refining LLM outputs for high-accuracy enterprise tasks.
• Agile Delivery: Experience in “Sprint” environments where speed and ROI are the primary measures of success.

Certinia delivers a Services-as-a-Business platform that powers and connects all aspects of services operations, from services estimation and delivery to customer success management and financial planning and accounting. The company’s Professional Services Automation (PSA), Customer Success, and ERP solutions delivered on Salesforce’s leading cloud platform, provide services businesses with the intelligence and agility to deliver high-quality services, elevate customer experiences and accelerate growth. Headquartered in Austin Texas, with offices around the world, Certinia is backed by Haveli Investments, General Atlantic and Salesforce Ventures. For more information, visit www.certinia.com.