SME Azure DevOps, Terraform

Job description

Job Description – AI Platform Engineer Function: CSO Role: AI Platform Engineer Hiring Managers: Louise Furniss / Julie Wilson Grade: E / F Location: UK / Offshore Open Positions: 2 Target Demand: 10 Resources ________________________________________ Job Summary • Join the CSO team to design, build, and operate enterprise-scale AI platforms that enable secure and scalable AI adoption. • Develop platform capabilities supporting Generative AI, prompt engineering, model evaluation, and AI service delivery. • Contribute to the implementation of Infrastructure as Code (IaC) and Security as Code practices across AI environments. • Collaborate with security, engineering, data, and platform teams to deliver reliable and compliant AI solutions. • Support the development of AI platform standards, governance controls, and operational best practices. • Drive automation, scalability, and efficiency across the AI technology stack using modern DevOps methodologies. • Enable business teams and developers to safely consume AI capabilities through robust platform engineering. Key Responsibilities Design, build, and maintain AI platform infrastructure supporting AI and Generative AI workloads. • Implement Infrastructure as Code solutions using Terraform, Python, and cloud-native technologies. • Develop and maintain automation frameworks for AI platform provisioning, deployment, and management. • Support prompt engineering initiatives, model testing, validation, and evaluation frameworks. • Embed Security as Code controls to ensure secure AI platform deployment and operations. • Monitor platform health, reliability, performance, and operational metrics while driving continuous improvements. • Collaborate with stakeholders to define platform requirements and deliver scalable enterprise AI capabilities. Skill Requirements Strong understanding of AI Platform Engineering, MLOps, or AI infrastructure management principles. • Hands-on experience with Terraform and Infrastructure as Code implementation across enterprise environments. • Proficiency in Python scripting, automation development, and platform engineering activities. • Knowledge of prompt engineering techniques, LLM evaluation methodologies, and AI model lifecycle management. • Experience implementing Security as Code practices, security automation, and compliance controls. • Familiarity with cloud platforms, DevOps tooling, CI/CD pipelines, and infrastructure automation frameworks. • Strong problem-solving, analytical thinking, stakeholder management, and troubleshooting capabilities. ________________________________________ Technical Certification Need to Have and Good to Have Need to Have • HashiCorp Certified: Terraform Associate. • Microsoft Certified: Azure Administrator Associate (AZ-104) or equivalent cloud administration certification. • Python programming certification or demonstrable enterprise-level Python development experience. • Security fundamentals certification such as CompTIA Security+ or equivalent. • Proven experience in Infrastructure as Code, platform engineering, and automation disciplines. Good to Have • Microsoft Certified: Azure AI Engineer Associate (AI-102). • Microsoft Certified: Azure DevOps Engineer Expert (AZ-400). • Certified Kubernetes Application Developer (CKAD) or Certified Kubernetes Administrator (CKA). • Certified Information Systems Security Professional (CISSP) or Certified Cloud Security Professional (CCSP). • MLOps, Generative AI, Prompt Engineering, or Large Language Model specialization certifications. • Cloud provider certifications from AWS or Google Cloud related to AI, DevOps, or infrastructure. • Certifications in Security as Code, DevSecOps, or cloud-native security practices. Other Requirements Experience working with enterprise AI platforms, Generative AI services, or foundation model ecosystems is highly desirable. • Exposure to AI governance, responsible AI practices, and model risk management frameworks is preferred. • Ability to collaborate effectively across UK and Offshore teams in a global delivery environment. • Strong communication skills with the ability to explain technical concepts to technical and business stakeholders. • Experience supporting large-scale platform transformation, automation, and modernization initiatives. • Passion for innovation, emerging AI technologies, and continuous learning. • Commitment to building secure, scalable, resilient, and compliant AI platforms that deliver measurable business value. Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion. Disclaimer Privacy Statement Terms of use Sitemap Raise a Grievance We use cookies on our site. Please read more about cookies policy here. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. 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