Ai Solution Architect

HCL Technologies Limited; Dadri, Hyderabad; Hybrid; INR 2,800,000 - 5,200,000; Full time

Job summary

HCL Technologies Limited in India seeks a seasoned GenAI & Cloud-Native Engineering Leader. You will shape GenAI solution design, mentor teams, and drive delivery excellence across cloud-native microservices. You will collaborate with partners and ensure 12-factor, scalable architectures using Kubernetes, LangChain, and OpenAI API.

The role demands strong leadership, practical AI/ML expertise, and proven experience delivering Agile projects in Jira. Excellent English communication is essential.

Qualifications

• 7+ years of hands-on software development in Java and Python.
• Strong experience with GenAI frameworks and NLP techniques.
• Proficient in Kubernetes and cloud-native architectures.
• Experience with 12-factor apps and microservices in cloud environments.

Responsibilities

• Develop GenAI solutions from ideation to MVP in cloud-native architectures.
• Optimize AI models for deployment in cloud environments.
• Refactor solutions to a microservices-based architecture with 12-factor principles.
• Lead and mentor teams, collaborate with partners, and drive technical delivery.

Skills

Java

Python

Kubernetes

GenAI frameworks

Prompt engineering

NLP

Agile & Scrum

Jira

Leadership

Tools

LangChain

OpenAI API

Hugging Face Transformers

Job description

Role & responsibilities

Key Responsibilities

Technical & Engineering Leadership

• Develop solutions leveraging GenAI technologies, integrating advanced AI capabilities into cloud-native architectures to enhance system functionality and scalability.
• Lead the design and implementation of GenAI-driven applications, ensuring seamless integration with microservices and container-based environments.
• Create solutions that fully leverage the capabilities of modern microservice and container-based environments running in public, private, and hybrid clouds.
• Contribute to HCL thought leadership across the Cloud Native domain with an expert understanding of open-source technologies (e.g., Kubernetes/CNCF) and partner technologies.
• Collaborate on joint technical projects with partners, including Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco, and Dell/VMware.

Service Delivery

• Engineer innovative GenAI solutions from ideation to MVP, ensuring high performance and reliability within cloud-native frameworks.
• Optimize AI models for deployment in cloud environments, balancing efficiency and effectiveness to meet client requirements and industry standards.
• Assess existing complex solutions and recommend appropriate technical treatments to transform applications with cloud-native/12-factor characteristics.
• Refactor existing solutions to implement a microservices-based architecture.

1 Innovation & Initiative

• Drive the adoption of cutting-edge GenAI technologies within cloud-native projects, spearheading initiatives that push the boundaries of AI integration in cloud services.
• Engage in technical innovation and support HCLs position as an industry leader.
• Author whitepapers, blogs, and speak at industry events.
• Maintain hands‑on technical credibility, stay ahead of industry trends, and mentor others.

Preferred candidate profile

Skill Requirements

Client Relationships

• Provide expert guidance to clients on incorporating GenAI and machine learning into their cloud-native systems, ensuring best practices and strategic alignment with business goals.
• Conduct workshops and briefings to educate clients on the benefits and applications of GenAI, establishing strong, trust-based relationships.
• Perform a trusted advisor role, contributing to technical projects (PoCs and MVPs) with a strong focus on technical excellence and on‑time delivery.

Mandatory Skills & Experience

• A passionate developer with 7+ years of experience in Java, Python, and Kubernetes, comfortable working as part of a paired/balanced team.
• Extensive experience in software development, with significant exposure to AI/ML technologies.
• Expertise in GenAI frameworks: Proficient in using GenAI frameworks and libraries such as LangChain, OpenAI API, and Hugging Face Transformers.
• Prompt engineering: Experience in designing and optimizing prompts for various AI models to achieve desired outputs and improve model performance.
• Strong understanding of NLP techniques and tools, including tokenization, embeddings, transformers and language models.
• Proven experience developing complex solutions that leverage cloud-native technologiesfeaturing container-based, microservices-based approaches; based on applying 12‑factor principles to application engineering.
• Exemplary verbal and written communication skills (English).
• Positive and solution‑oriented mindset.
• Solid experience delivering Agile and Scrum projects in a Jira-based project management environment.
• Proven leadership skills and the ability to lead projects to ensure delivery excellence.