Job Description We are seeking a highly experienced and visionary Lead AI Application Engineer to join our core AI team. This pivotal role will be instrumental in designing, developing, and deploying advanced Generative AI and Agentic AI applications. You will be a key contributor to our strategic initiatives, working on complex problems that require deep technical expertise and a forward-thinking approach. This is an exceptional opportunity for an individual who thrives on building sophisticated, autonomous AI systems and wants to make a significant impact. Responsibilities Provide thought leadership around applying AI and ML technology and help define technical direction and architecture with engineering team members. Leading the exploration and application of Large Language Models, Agentic AI and Generative AI, venturing into new areas within these fields. Architect and implement robust, scalable, and efficient AI systems leveraging a variety of AI/ML, data science, deep learning, and agentic AI frameworks. Drive the integration of complex Model Context Protocol (MCP) and agent-to-agent (A2A) communication protocols, ensuring seamless interaction and optimal performance. Design, build, and deploy autonomous agents capable of complex decision-making and task execution in dynamic environments. Design and implement scalable and efficient AI/ML systems, architectures, and pipelines that can handle large volumes of data and deliver accurate and timely results. Develop and maintain real-world NLP features using the latest techniques for call routing, intent identification, named entity recognition, information retrieval, summarization etc. Conduct extensive research and experimentation with emerging AI technologies, specifically in Generative AI and Agentic AI, to identify and implement innovative solutions. Collaborate closely with cross-functional teams including data scientists, software engineers and product managers to translate business requirements into technical solutions. Regularly self-educate while mentoring and provide technical leadership to other engineers, fostering a culture of continuous learning and excellence. Requirements Qualifications 10+ years of progressive hands-on technical experience in Artificial Intelligence, Machine Learning, Data Science, and Deep Learning. Demonstrated experience (3+ years) actively working on and deploying Generative AI and Agentic AI applications. Extensive hands-on experience with multiple AI and Agentic AI frameworks, such as (but not limited to): Generative AI: TensorFlow, PyTorch, Hugging Face Transformers, OpenAI API, LangChain, LlamaIndex, etc. Agentic AI: LangChain Agents, Auto-GPT, CrewAI, multi-agent simulation frameworks, etc. Experienced with leading LLM models such as OpenAI's GPT series, Google's Gemini, Meta's Llama, and Anthropic's Claude, including fine-tuning and deployment for specific applications. Deep understanding and practical experience with Multi-Component Platforms (MCP) and Agent-to-Agent (A2A) communication patterns. Experience with cloud platforms (Azure, GCP, AWS) and MLOps practices. 5 + years of experience writing and deploying production quality models in languages such as Python Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Knowledge, Skills, And Abilities Expertise in developing on a Azure cloud platform is a big plus Contributions to open-source AI projects, particularly in Generative AI or Agentic AI Familiarity with reinforcement learning and multi-agent reinforcement learning. Outstanding written and verbal communication skills.

Role Overview: We are hiring a Full Stack Developer with 58 years of experience to develop and maintain analytics and reporting applications. The ideal candidate should have experience working with Python (Flask), Go, and modern reporting platforms. Familiarity with Azure and relational databases is essential. Key Responsibilities: Design and develop APIs and backend services using Python (Flask), React.js and Go Build and enhance reporting dashboards using Superset or Power BI Integrate backend services with MySQL/PostgreSQL and analytical systems Collaborate with the DevOps and data engineering teams to ensure smooth deployment and performance Write clean, testable, and scalable code for both backend and data access layers Work with Kafka-based pipelines and participate in CDC and streaming workflows Must-Have Skills: 5–8 years of full-stack or backend development experience Strong knowledge of Python (Flask) and Go Experience with data visualization/reporting tools: Apache Superset or Power BI Experience with Azure cloud services Hands-on with relational databases: MySQL , PostgreSQL Experience with containerization and orchestration using Docker, Kubernetes Understanding of REST APIs and microservices architecture Understanding of A&A and RBAC. Nice-to-Have: Experience with Kafka, Debezium, or Trino Experience working in data analytics platforms Familiarity with Airflow, CDC pipelines, and data lake concepts

Role Overview: We are seeking a skilled DevOps Engineer with 58 years of experience to manage and enhance our cloud infrastructure, deployment pipelines, and observability stack. The ideal candidate should have strong experience in Azure, Infrastructure-as-Code (Terraform), CI/CD, and monitoring tools, with a sound understanding of cloud security and compliance. Key Responsibilities: Design, implement, and manage infrastructure on Microsoft Azure using Terraform Build and maintain CI/CD pipelines using GitHub Actions , Argo CD , and Jenkins Ensure system observability using Grafana , Prometheus , and log aggregation tools Implement and enforce security best practices in cloud deployments Monitor and improve system reliability, availability, and performance Collaborate with development and data teams for deployments and data platform support Maintain and audit cloud infrastructure in compliance with regulatory and internal security standards Must-Have Skills: 58 years of DevOps or cloud infrastructure experience Terraform (mandatory) Microsoft Azure cloud infrastructure experience CI/CD tools: GitHub Actions , Argo CD , Jenkins Monitoring and observability: Grafana , Prometheus Cloud security and networking with Azure cloud platform Experience with containerization and orchestration using Docker, Kubernetes Nice-to-Have: Experience with Kafka, Debezium, Trino or Superset Scripting in Python, Bash, or Go Knowledge of data lake/lakehouse architectures Compliances like PCI, HIPPA etc.

About AVAYA: Avaya is an enterprise software leader that helps the worlds largest organizations and government agencies forge unbreakable connections. The Avaya Infinity platform unifies fragmented customer experiences, connecting the channels, insights, technologies, and workflows that together create enduring customer and employee relationships. We believe success is built through strong connections with each other, with our work, and with our mission. At Avaya, you'll find a community that values your contributions and supports your growth every step of the way. Learn more at https://www.avaya.com. Job Family: Research and Development Job Function: Software Engineering Experience: 3-9 years of experience in designing, developing, deploying, and troubleshooting cloud API based microservices (Cloud Native and Hybrid). RESPONSIBILITIES Understand and analyze requirements, design solutions, and write clean, efficient code based on those specifications. Combine software components and modules, work with microservices, and handle the deployment of applications and systems. Identify, debug, troubleshoot and resolve issues in existing software, and make necessary upgrades. Collaborate with other developers to design features, review code, and tackle technical challenges together. Collect and assess feedback from users to improve the software. Suggest and implement enhancements to the software. Create technical documentation for reference and reporting purposes. Required Skills & Competencies: Strong proficiency in Java, Spring Boot; Golang\NodeJS is a plus. Hands-on experience in building and consuming RESTful web services and microservices architecture including resiliency, scalability, observability and serviceability. Good understanding of client-side technologies HTML5, CSS3, JavaScript, and frameworks like React, Angular. Knowledge of Cloud technologies Azure (Preferred) Experience with Docker, Kubernetes, Helm. Experience with Kafka, Redis, and databases (MySQL, PostgreSQL). Demonstrable experience of continuous delivery and continuous integration patterns. Understanding of BDD (Behavior Driven Development) and TDD (Test Driven Development). Excellent problem-solving, debugging, and analytical skills. Demonstrable experience of delivering complex solutions to customers. Good articulation & communication skills- written & verbal Experience with Agile and Scrum models. Education/Qualification: B.E./B. Tech (Computer Science) or equivalent Link: https://careers.avaya.com/job-invite/37159/

Avaya is looking for a strong Java Full-Stack Developer to join the R&D team. If you have an experience building microservices from scratch and have an excellent experience in Cloud . We encourage you fill this Microsoft to apply> https://forms.office.com/r/AiAAYKSgSK