Senior Technical Lead

Job description

AI & Automation Lead – Application Modernization Role Summary Lead the design and implementation of AI-driven and automation solutions across application assessment, modernization, migration, testing, deployment, and operations. The role focuses on using Generative AI, intelligent automation, DevOps, and cloud-native capabilities to accelerate modernization and reduce manual effort. Key Responsibilities Define the AI and automation strategy for application modernization and AWS migration. Identify automation opportunities across application discovery, assessment, code modernization, testing, deployment, monitoring, and operational support. Design and implement Generative AI/LLM-based solutions , including RAG, AI agents, and intelligent workflows where appropriate. Evaluate AI-assisted approaches for legacy code analysis, documentation, code transformation, test generation, and migration assessment . Lead development of automation frameworks using Python, APIs, scripting, and workflow/orchestration technologies . Drive automation of CI/CD, Infrastructure as Code, application deployment, testing, and environment provisioning . Integrate AI and automation solutions with AWS services, enterprise applications, APIs, and data sources . Establish appropriate controls for AI security, data privacy, access, model evaluation, and responsible AI usage . Define reusable automation patterns, accelerators, and frameworks that can be applied across multiple migration waves. Measure automation effectiveness through indicators such as manual-effort reduction, execution reliability, defect reduction, and deployment efficiency. Provide technical leadership to AI developers, automation engineers, DevOps engineers, and application SMEs. Required Skills & Qualifications Strong experience in AI/ML, Generative AI, automation, or intelligent application development . Strong programming skills in Python and experience working with REST APIs. Understanding of LLMs, prompt engineering, RAG, embeddings, vector search, and AI agents . Experience with AI platforms such as Amazon Bedrock, Amazon SageMaker, Azure AI, or equivalent enterprise AI platforms . Strong knowledge of AWS cloud architecture and services . Experience with CI/CD, Git, Jenkins/GitHub Actions, Docker, Kubernetes, Terraform/CloudFormation , or equivalent technologies. Knowledge of test automation and tools such as Playwright or Selenium is advantageous. Understanding of enterprise application modernization, APIs, microservices, and integration patterns. Strong technical leadership, architecture, problem-solving, and stakeholder-management skills. I positioned this as a technical leadership role rather than only an automation-testing role, covering GenAI + automation + AWS + DevOps + application modernization , which better complements the Cloud & Application Modernization Lead, Assessment Consultant, Functional Tester, and Test Automation roles. Key Responsibilities AI & Automation Lead – Application Modernization Role Summary Lead the design and implementation of AI-driven and automation solutions across application assessment, modernization, migration, testing, deployment, and operations. The role focuses on using Generative AI, intelligent automation, DevOps, and cloud-native capabilities to accelerate modernization and reduce manual effort. Key Responsibilities Define the AI and automation strategy for application modernization and AWS migration. Identify automation opportunities across application discovery, assessment, code modernization, testing, deployment, monitoring, and operational support. Design and implement Generative AI/LLM-based solutions , including RAG, AI agents, and intelligent workflows where appropriate. Evaluate AI-assisted approaches for legacy code analysis, documentation, code transformation, test generation, and migration assessment . Lead development of automation frameworks using Python, APIs, scripting, and workflow/orchestration technologies . Drive automation of CI/CD, Infrastructure as Code, application deployment, testing, and environment provisioning . Integrate AI and automation solutions with AWS services, enterprise applications, APIs, and data sources . Establish appropriate controls for AI security, data privacy, access, model evaluation, and responsible AI usage . Define reusable automation patterns, accelerators, and frameworks that can be applied across multiple migration waves. Measure automation effectiveness through indicators such as manual-effort reduction, execution reliability, defect reduction, and deployment efficiency. Provide technical leadership to AI developers, automation engineers, DevOps engineers, and application SMEs. Required Skills & Qualifications Strong experience in AI/ML, Generative AI, automation, or intelligent application development . Strong programming skills in Python and experience working with REST APIs. Understanding of LLMs, prompt engineering, RAG, embeddings, vector search, and AI agents . Experience with AI platforms such as Amazon Bedrock, Amazon SageMaker, Azure AI, or equivalent enterprise AI platforms . Strong knowledge of AWS cloud architecture and services . Experience with CI/CD, Git, Jenkins/GitHub Actions, Docker, Kubernetes, Terraform/CloudFormation , or equivalent technologies. Knowledge of test automation and tools such as Playwright or Selenium is advantageous. Understanding of enterprise application modernization, APIs, microservices, and integration patterns. Strong technical leadership, architecture, problem-solving, and stakeholder-management skills. I positioned this as a technical leadership role rather than only an automation-testing role, covering GenAI + automation + AWS + DevOps + application modernization , which better complements the Cloud & Application Modernization Lead, Assessment Consultant, Functional Tester, and Test Automation roles. Skill Requirements Other Requirements 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 230,000 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 September 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. Copyright © 2026 HCL Technologies Limited Cookie Consent Manager When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer. 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