Platform Engineer III

• Lead Codex adoption: deliver production-relevant demonstrations, technical discovery, workshops, proofs of concept and executive briefings across enterprise engineering organizations.
• Design agentic SDLC solutions spanning discovery, requirements, architecture, development, testing, modernization, deployment and operations.
• Prototype specialized agents and multi-agent workflows; define context, memory, tools, permissions, human-in-the-loop controls and appropriate autonomy levels.
• Architect secure integrations across GitHub, CI/CD and DevOps platforms, AWS/Azure, APIs, identity, observability, ITSM and enterprise platforms such as SAP, Oracle, Salesforce and ServiceNow.
• Establish governance for AI-generated code and agents, including access control, data protection, auditability, approval gates, secure coding and deployment controls.
• Quantify value using KPIs such as developer throughput, cycle time, deployment frequency, quality, modernization velocity, cost per outcome and developer experience.
• Improve model performance and economics through context engineering, reusable skills, prompts, templates, repository instructions, retrieval and tool-selection patterns.
• Enable governed citizen development by creating reusable patterns, guardrails and collaboration models for business and technology teams.

Enterprise Architecture, Software Engineering, Customer Support/Service, Customer Relations, Artificial Intelligence (AI), Prototyping, Product Demonstration, Proof of Concept, Technical Presentation, Software Development Lifecycle (SDLC), * A meaningful Codex or frontier-model-assisted engineering implementation

• An agentic workflow that goes beyond simple code generation
• Integration with source control, CI/CD, cloud or enterprise systems
• Quantified productivity, quality, cost or modernization outcomes
• Governance patterns for AI-generated code and supervised or autonomous agents
• AI-assisted modernization of an existing or legacy application

Other Requirements

8+ years of experience in software engineering, architecture, developer platforms or engineering transformation, including recent hands-on generative AI work. Candidates should bring experience with:

• OpenAI Codex and APIs, frontier models and agentic workflows
• GitHub, source control, CI/CD, DevOps and automated quality engineering
• AWS and/or Azure, modern application and API architectures
• Enterprise security, identity, governance and software supply-chain controls
• Enterprise applications or integration environments; SAP, Oracle, Salesforce or ServiceNow experience is highly desirable

Information at a Glance

Why HCLTech?

At HCLTech, youll supercharge your potential. Youll find your career. And youll 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.