Senior Technical Lead Web Development (Java, Node.js, Angular/React.js) (117806)
Job Fit Check
Base Career helps you apply smarter for this job.
Key skills for this role
Role Overview
Forward Deployment Engineer responsible for designing, deploying, and scaling AI-driven enterprise solutions using modern full-stack technologies. The role combines hands-on development (Java, Spring Boot, Angular) with applied AI/ML integration, focusing on rapid solution delivery, productionization of AI models, and close collaboration with business stakeholders in an Agile environment.
Key Skills for This Role
Full Job Posting
Job Summary
Forward Deployment Engineer responsible for designing, deploying, and scaling AI-driven enterprise solutions using modern full-stack technologies. The role combines hands-on development (Java, Spring Boot, Angular) with applied AI/ML integration, focusing on rapid solution delivery, productionization of AI models, and close collaboration with business stakeholders in an Agile environment.
AI Solution Deployment & Integration
Design and deploy AI-enabled solutions (LLMs, ML models, intelligent APIs) into enterprise systems
Integrate AI/ML services (Azure AI, OpenAI, or similar) into microservices architecture
Implement prompt engineering, orchestration logic, and AI workflow pipelines for business use cases
Translate business problems into scalable AI-driven solutions in collaboration with stakeholders
Full Stack Engineering
Develop and enhance microservices-based applications using Java and Spring Boot
Build intuitive and responsive UI using Angular , including AI-driven interfaces
Design and implement AI-enabled REST APIs aligned with enterprise integration patterns
Ensure high-performance, scalable, and secure system design
Automation & Engineering Excellence
Develop automated test frameworks covering application and AI workflows (functional + model validation)
Ensure code quality through reviews, static analysis, and automation-first principles
Embed AI-assisted development practices (e.g., code copilots, auto-testing, intelligent debugging)
DevOps & Cloud Deployment
Enable continuous integration and deployment across environments
Deploy and manage applications in cloud-native environments (Azure/Kubernetes)
Implement containerization and scalable deployment strategies for AI services
Stakeholder Engagement & Agile Delivery
Work directly with business teams to rapidly prototype and deploy AI use cases
Participate in Agile ceremonies and deliver high-impact sprint outcomes
Troubleshoot production issues and optimize deployed AI solutions based on usage patterns
Skill Requirements
- Technical Skills Required
- Core Engineering
- Strong experience in Java, Spring Boot (Microservices Architecture)
- Hands-on experience with Angular or modern front-end frameworks
- Expertise in building and consuming RESTful APIs
- Strong knowledge of SQL Server / relational databases
- AI & Data Engineering
- Experience integrating AI/ML services (Azure AI, OpenAI APIs, or similar)
- Understanding of LLMs, prompt engineering, embeddings, and vector databases
- Familiarity with AI orchestration frameworks (LangChain, Semantic Kernel, etc.) – good to have
- Exposure to data pipelines and feature engineering concepts
- Testing & Automation
- Experience with Junit and modern test automation practices
- Exposure to API testing and AI workflow validation
- Experience in UI automation (Selenium or equivalent)
- Understanding of integrating test automation into CI/CD pipelines
- CI/CD & MLOps
- Hands-on experience with CI/CD tools (Azure DevOps, Jenkins, GitHub Actions)
- Understanding of AI model deployment pipelines and versioning
- Familiarity with Docker, Kubernetes, and cloud-native deployments
- Strong knowledge of Git and branching strategies
- Preferred / Good to Have
- Experience in large-scale enterprise transformations or government programs
- Familiarity with data governance, AI ethics, and responsible AI practices
Other Requirements
- Other Requirements
- Soft Skills
- Strong communication skills with ability to bridge business and technical teams
- Experience working in distributed teams (IST/EST collaboration)
- Strong ownership mindset with focus on outcome-driven delivery
- Adaptability to evolving AI landscape and business priorities
- Ability to work in high-impact, fast-paced deployment environments
About HCLTech
Supercharging progress through technology, engineering, and digital transformation.
Visit company websiteApply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at HCLTech
Technical Architect (158792)
, IND
Automation Test Lead Embedded (152157)
, IND
SME - Program & Project Management (165346)
, IND
SME - IBM AIX, Power HA (166020)
, IND
Senior Technical Lead (164957)
, USA
Senior Project Lead - Scrum Master (165971)
, IND
Senior .NET Developer (165974)
, IND
DataStage Technical Lead (165576)
, IND