Technology Lead - Azure DevOps

Infosys is seeking a Technology Lead. The position is for a Technical Lead with strong expertise in Python and conversational AI to design, build, and scale chatbot solutions across enterprise platforms. The ideal candidate will have deep hands-on experience in building intelligent virtual assistants, integrating LLMs, orchestrating backend services, and leading a technical team to deliver high-quality, production-grade conversational applications.Required Qualifications : Candidate must be located within commuting distance of Mississauga, Ontario or willing to relocate to the area. This position may require travel.Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.At least 4 years of Information Technology experience.Candidates authorized to work for any employer in Canada without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.Expert-level proficiency in Python (APIs, async programming, application architecture).Strong experience with chatbot frameworks, such as ; Rasa / Rasa Pro, LangChain, Botpress.Experience with FastAPI, Flask, Django or other Python microservices frameworks.Preferred Qualifications : Strong understanding of REST APIs, message queues, and event-driven architectures.Experience with CI / CD tools (Azure DevOps, GitHub Actions, Jenkins).Strong analytical and communication skills.Competent in Agile execution processes.Ability to work in a collaborative, multi-application team environment.Hands-on experience with LLMs, Generative AI, RAG systems, embeddings, and vector databases.Experience deploying chatbots at scale in enterprise environments.Prior work with analytics tools for chatbot performance metrics..Knowledge of MLOps workflows and vector store optimization.Certifications in cloud (Azure / AWS / GCP) or AI technologies.Knowledge of Chatbot Frameworks : Python, Rasa / RasaPro.Knowledge of Web Frameworks : FastAPI, Flask, Django.Knowledge of DataBase : MongoDB, Redis.Knowledge of Integration Tools : REST & GraphQL APIs.Knowledge of Testing & Debugging Tools : pyTest – for unit testing.Design and build chatbots using Python-based frameworks (e.g., Rasa, LangChain, Flask / FastAPI custom frameworks).Work with LLMs (OpenAI, Azure OpenAI, Mistral, Llama, etc.) to build retrieval-augmented generation (RAG) systems and intelligent dialogue flows.Architect scalable, fault-tolerant chatbot infrastructures using cloud platforms.Integrate chatbots with enterprise systems.Implement vector search, embeddings, and knowledge base integrations for contextual responses.Create technical documentation, solution diagrams, and implementation plans.Ensure chatbot solutions meet enterprise security and compliance standards.Optimize performance, latency, and response accuracy of chatbot applications.Implement monitoring, logging, analytics, and continuous improvement loops.Ensure compliance with client processes and standards.The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email, or face to face. Extensive travel may be required as per client and project needs.Estimated annual compensation range for the candidate based in the below location will be : Ontario : $ 89, to $ ,. EEO Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse / family member of a protected veteran; or disability.