AI Developer II
Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Software Engineering
In short
AI Engineer with GenAI expertise sought to develop advanced technical solutions and integrate cutting-edge generative AI technologies. This role requires foundational understanding of modern technical and cloud-native practices, AI, DevOps, and machine learning, particularly in generative models, to support customers from ideation to MVP.
Responsibilities
- Develop solutions leveraging GenAI technologies and integrating advanced AI capabilities into cloud-native architectures.
- Lead the design and implementation of GenAI-driven applications within microservices and container-based environments.
- Create solutions leveraging microservice and container-based environments in public, private, and hybrid clouds.
- Contribute to HCL thought leadership in the Cloud Native domain with expert understanding of open-source technologies.
- Collaborate on joint technical projects with partners like Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco, and Dell/VMware.
- Engineer innovative GenAI solutions from ideation to MVP, ensuring high performance and reliability.
- Optimize AI models for deployment in cloud environments.
- Assess complex solutions and recommend technical treatments to transform applications with cloud-native/12-factor characteristics.
- Refactor existing solutions to implement a microservices-based architecture.
- Drive adoption of GenAI technologies within cloud-native projects.
- Engage in technical innovation and support HCL’s industry leadership.
- Author whitepapers and blogs, and potentially speak at industry events.
- Maintain hands-on technical credibility and stay ahead of industry trends.
- Provide expert guidance to clients on incorporating GenAI and machine learning into their cloud-native systems.
- Conduct workshops and briefings to educate clients on GenAI benefits and applications.
- Perform a trusted advisor role in technical projects (PoCs and MVPs).
Requirements
- 3+ years of experience in Java, Python, and Kubernetes.
- Comfortable working as part of a paired/balanced team.
- Foundational experience in software development with exposure to AI/ML technologies.
- Proficiency in GenAI frameworks and libraries such as OpenAI API.
- Experience in prompt engineering: designing and optimizing prompts for AI models.
- Experience developing solutions leveraging cloud-native technologies (container-based, microservices-based) applying 12-factor principles.
- Strong verbal and written communication skills in English.
- Positive and solution-oriented mindset.
- Experience delivering Agile and Scrum projects in a Jira-based project management environment.
- At least one recognized cloud professional / developer certification (AWS/Google/Microsoft).
Desired Qualifications
- Understanding of NLP techniques and tools, including tokenization, embeddings, transformers, and language models.
- Knowledgeable about AI ethics and bias mitigation strategies.
- Knowledgeable about vector databases, LLMs, and integrating with such models.
- Proficient with Kubernetes and other cloud-native technologies, including experience with commercial Kubernetes distributions (e.g., Red Hat OpenShift, VMware Tanzu, Google Anthos, Azure AKS, Amazon EKS, Google GKE).
- Understanding of core practices including DevOps, SRE, Agile, Scrum, Domain-Driven Design.
- Familiarity with the CNCF open-source community.
- Recognized with cloud and technical certifications, ideally including AI/ML specializations from providers like Google, Microsoft, AWS, Linux Foundation, IBM, or Red Hat.
Benefits
- Supercharge your potential at HCLTech.
- Find your career at HCLTech.
- Find your spark at HCLTech.
- Work at a place that puts its people first.
- Be part of a global technology company with over 223,000 people across 60 countries.
- Deliver industry-leading capabilities centered around digital, engineering, cloud and AI.
- 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.
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