Architect - Cyber Security

POSITION - TITLE: AI Lead Location: Offshore – Bangalore - Hyderabad - Chennai - Pune Job Description: We are looking for a talented AI Developer who will be responsible for designing, developing, and implementing AI applications based on prebuilt models. The ideal candidate will also take on architect responsibilities for designing large language model - LLM - based applications. You will play a pivotal role in integrating and optimizing prebuilt AI models to create robust and scalable AI solutions.

Key Responsibilities Lead the development and deployment of AI applications using prebuilt generative models. Design and implement multi-agent and single-agent systems with planning, tool use, memory, and self-reflection Define agent architectures using frameworks such as LangGraph, AutoGen, CrewAI, Semantic Kernel, or custom stacks Collaborate with cross-functional teams to identify AI use cases and define project requirements. Integrate and customize prebuilt models to meet specific project needs. Develop and optimize application logic to effectively utilize prebuilt AI models. Ensure the robustness, scalability, and efficiency of AI solutions. Stay up to date with the latest advancements in AI and machine learning, particularly in prebuilt models and APIs. Mentor and guide junior developers and team members in AI best practices and techniques. Communicate complex technical concepts and results to non-technical stakeholders. Must Have skills Strong experience building LLM-based applications beyond basic chatbots Proven hands-on experience with agentic AI implementations Deep understanding of agent concepts: planning, reasoning, tool use, memory, reflection Proficiency in Python and - or TypeScript Experience with agent frameworks - e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel, or custom implementations - Experience in implementing agentic AI patterns such as ReAct, tool-calling agents, hierarchical planning, reflection loops, and memory systems Experience in building agentic systems integrating LLMs with APIs, databases, and external tools to execute multi-step tasks Experience in Designing short- and long-term memory for agents using vector databases, structured state, and event logs Knowledge of MLOPs such as Langchain, Llama Index, Ragas etc. Experience with natural language processing - NLP - and computer vision applications. Experience deploying AI systems to production environments Solid system design and debugging skills for complex AI workflows Ability to lead technically and make architectural decisions

Qualifications Over all 8 plus years’ experience in development 5 plus years of experience in AI - ML development, with a focus on applying prebuilt models.

Preferred Skills Experience with cloud platforms - AWS, GCP, Azure - and containerization - Docker, Kubernetes - . Experience with relevant Cloud services like Amazon Bedrock, Sagemaker, Google Vertex.AI Familiarity with AI - ML APIs and services - e.g., Google Cloud AI, Azure AI Services, AWS SageMaker - . Knowledge of software development best practices and agile methodologies. Contributions to research in AI - ML, including published papers and conference presentations.