Senior Technical Lead

HCLTech; Putrajaya; On-site; MYR 120,000 - 210,000; Full time

Job summary

HCLTech is seeking an experienced AI Engineer to design, develop, and deploy production-ready AI solutions that integrate into enterprise applications and workflows.

You will build scalable AI platforms, create autonomous agent systems, and optimize latency and costs while ensuring governance and security compliance.

Qualifications

• 3+ years in AI engineering or 5+ years in software engineering, machine learning engineering or related disciplines.
• Strong Python programming and familiarity with software engineering best practices.
• Hands-on experience building and deploying LLM-based applications and generative AI solutions.
• Experience with AI orchestration and agent frameworks such as LangGraph.
• Experience designing and deploying RAG architecture, vector databases, multi-agent systems.
• Experience with developing on Microsoft Azure.

Responsibilities

• Design and implement AI-powered applications, APIs, and services using modern software engineering practices.
• Develop and deploy generative AI, and agentic AI solutions for business and customer-facing use cases.
• Design and build autonomous and semi-autonomous AI agent systems capable of planning, reasoning, tool usage, and workflow automation.
• Implement multi-agent architectures for complex business processes requiring collaboration between specialized AI agents.
• Integrate AI systems with enterprise tools, APIs, databases, and business applications.
• Develop evaluation and guardrail mechanisms to ensure reliability, safety, accuracy, and compliance.
• Optimize model latency, token consumption, infrastructure utilization, and operational costs.
• Ensure AI solutions comply with enterprise governance, security, privacy, and regulatory requirements.

Skills

AI engineering

Software engineering

Python

LLM apps

Generative AI

AI orchestration

LangGraph

RAG architecture

Vector databases

Multi-agent systems

Azure

Tools

Azure

Job description

• Design, develop, and deploy production-ready AI solutions that integrate seamlessly into enterprise applications and business workflows.
• Build scalable AI platforms and reusable components to accelerate AI adoption across multiple business functions.
• Develop intelligent AI copilots, conversational assistants, and autonomous agent systems that improve operational efficiency and customer experience.
• Establish best practices for AI engineering, MLOps, governance, monitoring, and responsible AI implementation.

Key Responsibilities

• Design and implement AI-powered applications, APIs, and services using modern software engineering practices.
• Develop and deploy generative AI, and agentic AI solutions for business and customer-facing use cases.
• Design and build autonomous and semi-autonomous AI agent systems capable of planning, reasoning, tool usage, and workflow automation.
• Implement multi-agent architectures for complex business processes requiring collaboration between specialized AI agents.
• Integrate AI systems with enterprise tools, APIs, databases, and business applications.
• Develop evaluation and guardrail mechanisms to ensure reliability, safety, accuracy, and compliance.
• Optimize model latency, token consumption, infrastructure utilization, and operational costs.
• Ensure AI solutions comply with enterprise governance, security, privacy, and regulatory requirements.

Skill Requirements

• 3 years + of experience in AI engineering or 5+ years of experience in software engineering, machine learning engineering or related disciplines
• Strong programming experience in Python and familiarity with software engineering best practices.
• Hands-on experience building and deploying LLM-based applications and generative AI solutions.
• Experience with AI orchestration and agent frameworks such as LangGraph.
• Experience designing and deploying RAG architecture, vector databases, multi-agent systems
• Experience with developing on Microsoft Azure.