Senior Engineer – Agentic AI

Job Title: Senior Engineer – Agentic AI

GCL - D3

Introduction to role:

We are looking for a highly skilled Senior Engineer – Agentic AI to spearhead the development of autonomous agents and Conversational-AI systems. The ideal candidate will have deep expertise in AI/ML, LLMs, and orchestration frameworks that enable intelligent agents to perceive, learn, and act in dynamic environments. You will work with Microsoft Azure technologies, Python or other technologies collaborating with multi-functional teams to deliver AI-powered solutions that integrate seamlessly into business workflows and conversational interfaces.

Accountabilities:

• Design, develop, and deploy AI agents capable of autonomous decision-making and action execution
• Leverage LLMs and multi-agent frameworks to create intelligent, interactive AI systems
• Optimize and finetune LLMs for agent-based architectures, ensuring high efficiency and accuracy
• Integrate AI agents with external systems, APIs, databases, and enterprise applications
• Implement techniques for long-term memory, context retention, and planning within AI agents
• Develop and enhance Conversational-AI models, including chatbots and virtual assistants, using Azure Cognitive Services, Azure Bot Service, and Azure OpenAI
• Design and implement intent recognition, dialogue management, and natural language understanding (NLU) components
• Ensure scalability, security, and compliance of AI solutions
• Stay up-to-date with the latest advancements in autonomous AI, reinforcement learning, multi-agent coordination, and conversational AI technologies

Essential Skills/Experience:

• 5+ years of experience in AI/ML/NLP development with a strong focus on autonomous AI agents and conversational AI
• 3+ years of experience using LLMs to build Conversational AI applications or AI Agent based solutions
• Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, AutoGPT, OpenAI API)
• Experience with multi-agent architectures and frameworks
• Strong understanding of reinforcement learning, prompt engineering, and fine-tuning of LLMs
• Hands-on experience integrating AI agents and conversational models with APIs, databases, and cloud/collaboration platforms specifically SharePoint, Teams, etc.
• Experience in developing web applications using HTML, CSS, JavaScript, React, or Angular
• Expertise in Azure AI and ML services, including Azure Machine Learning, Azure Cognitive Services, and Azure Bot Framework
• Proven understanding of vector databases, knowledge graphs, and Retrieval Augmented Generation (RAG)
• Expertise in NLP and conversational AI frameworks such as Rasa, Dialogflow, or LUIS, MS Bot Framework
• Excellent problem-solving skills and ability to conduct thought experiments around AI agent behaviours

Desirable Skills/Experience:

• Experience with reasoning and planning frameworks like ReAct (Reasoning + Acting) or Chain-of-thought prompting
• Knowledge of tools and techniques for memory and persistence in AI agents
• Familiarity with observability, security, and ethical considerations in autonomous AI and Conversational-AI systems
• Contributions to opensource AI agent and chatbot projects
• Microsoft Azure certifications such as Azure AI Engineer Associate or Azure Solutions Architect

At AstraZeneca, we couple technology with an inclusive attitude to cross international boundaries and develop a leading ecosystem. A diverse group working in multi-functional teams at scale, we bring together the best minds from across the globe to uncover new solutions. Here we think holistically about how to apply technology, building partnerships inside and out. We drive simplicity and efficiencies to make a real difference.

Join us at this exciting stage of our journey. Apply now to be part of our progressive team!