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- Tasks: Architect and deploy scalable AI systems, optimising performance and integrating with enterprise tools.
- Company: Join HCLTech, a $13+ billion global tech leader with a startup mindset and innovative culture.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a team that values ideas and drives impactful change in the tech world.
- Qualifications: 5-8 years in AI/ML, strong Python skills, and experience with cloud platforms and vector databases.
- Other info: Mentorship opportunities available for junior engineers and a collaborative work environment.
The predicted salary is between 43200 - 72000 £ per year.
We are a $13+ billion global technology company, home to more than 224,000 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. HCLTech is a globally recognized leader in the Tech and IT industry, but we’ve never forgotten the startup mindset that got us here. We’ve always approached our work with an idea-first attitude because every one of our accomplishments — no matter how big or small — can be traced back to an idea’s single spark. It’s that spark — that inner drive — that sets our people apart from our competitors. It enables us not just to pull off game-changing feat after game-changing feat but to better our world in the process. We want you to find your spark. Because that’s what drives you to be better, be more and ultimately, be more fulfilled.
Detailed JD:
- Architect and deploy scalable AI systems leveraging LLMs (GPT, LLaMA, Claude, etc.)
- Build and fine-tune SLMs/LLMs using domain-specific data (e.g., ITSM, security, operations)
- Design and optimize Retrieval-Augmented Generation (RAG) pipelines with vector DBs (e.g., FAISS, Chroma, Weaviate, Pinecone)
- Develop agent-based architectures using LangGraph, AutoGen, CrewAI, or custom frameworks
- Integrate AI agents with enterprise tools (ServiceNow, Jira, SAP, Slack, etc.)
- Optimize model performance (quantization, distillation, batching, caching)
- Collaborate with DevOps and MLOps teams to build CI/CD pipelines for models and agents
- Conduct code and research reviews, mentor junior engineers, and contribute to technical strategy
- 5–8 years of hands-on experience in AI/ML/Deep Learning
- Strong coding skills in Python (must), familiarity with Node.js, Go, or Rust is a plus
- Proficient with PyTorch or TensorFlow
- Deep understanding of transformer architectures, embeddings, and attention mechanisms
- Experience with LangChain, Transformers (HuggingFace), or LlamaIndex
- Working knowledge of LLM fine-tuning (LoRA, QLoRA, PEFT) and prompt engineering
- Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Chroma)
- Cloud experience on Azure, AWS, or GCP (Azure preferred)
- Experience with Kubernetes, Docker, and scalable microservice deployments
- Experience integrating with REST APIs, webhooks, and enterprise systems (ServiceNow, SAP, etc.)
- Solid understanding of data pipelines, ETL, and structured/unstructured data ingestion
Contact Detail:
HCLTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AUTOMATION ARCHITECT
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, particularly focusing on LLMs and their applications. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the AI and tech industry through platforms like LinkedIn or relevant tech meetups. Building connections can provide insights into the company culture at HCLTech and may even lead to referrals.
✨Tip Number 3
Stay updated on the tools and technologies mentioned in the job description, such as PyTorch, TensorFlow, and vector databases. Consider working on personal projects or contributing to open-source projects that utilise these technologies to showcase your skills.
✨Tip Number 4
Prepare to discuss your past experiences with AI/ML projects in detail, especially those involving scalable systems and integration with enterprise tools. Be ready to explain your thought process and the impact of your contributions.
We think you need these skills to ace AUTOMATION ARCHITECT
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI, ML, and Deep Learning. Emphasise your hands-on experience with LLMs, coding skills in Python, and familiarity with tools like PyTorch or TensorFlow.
Craft a Compelling Cover Letter: In your cover letter, express your passion for technology and innovation. Mention specific projects where you've architected scalable AI systems or optimised model performance, showcasing your problem-solving skills.
Showcase Relevant Projects: Include a section in your application that details specific projects or achievements related to the job description. Highlight your experience with vector databases, cloud platforms, and integration with enterprise tools.
Highlight Collaboration Skills: Since the role involves working with DevOps and MLOps teams, emphasise your ability to collaborate effectively. Provide examples of how you've mentored junior engineers or contributed to technical strategy in previous roles.
How to prepare for a job interview at HCLTech
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with AI/ML and deep learning. Highlight specific projects where you've architected or deployed scalable AI systems, especially using LLMs. This will demonstrate your capability and fit for the role.
✨Understand the Company’s Culture
HCLTech values an idea-first attitude and a startup mindset. Research their recent projects or innovations and be ready to discuss how your personal drive aligns with their mission. This shows that you’re not just looking for a job, but a place where you can contribute meaningfully.
✨Prepare for Technical Questions
Expect in-depth technical questions related to coding in Python, working with vector databases, and optimising model performance. Brush up on your knowledge of PyTorch, TensorFlow, and transformer architectures to confidently tackle these queries.
✨Demonstrate Collaboration Skills
Since the role involves working with DevOps and MLOps teams, be ready to share examples of how you've successfully collaborated in past projects. Discuss your experience mentoring junior engineers and contributing to technical strategy, as this will highlight your leadership potential.
