Software Architect

As an Amdocs Software Architect, you will be responsible for leading the architectural roadmap, providing architecture solutions throughout the software development lifecycle, and performing advanced software engineering tasks. You will have the autonomy to deliver technical objectives, make decisions based on extensive analysis, and offer technical expertise in software usage, functional, and non-functional aspects. Collaborating with software engineers and other architects, you will define and refine product structures to align with business needs and ensure seamless development, deployment, and maintenance. Additionally, you will work closely with customers and product line management to translate customer requirements into technical specifications, support and lead architectural decisions within product lines, and oversee projects while guiding software engineers on design decisions. Researching, evaluating, and prototyping new methodologies and technologies, you will drive process and tool improvements, all while gaining a deep understanding of customer contexts to inform technical choices. Key Responsibilities: - Extensive experience working with Various LLMs such as Lama, Gpt, and others - Hands-on experience in handling GenAI use cases - Expertise in developing Cloud Jobs for data ingestion for learnings - Establishing partnerships with project stakeholders to offer technical assistance in critical decisions - Development and implementation of Gen AI Use-cases in Live Production as per business/user requirements Technical Skills: Mandatory Skills: 1. Deep learning engineering expertise, particularly in MLOps 2. Strong NLP/LLM experience for text processing using LLM 3. Proficiency in Python & Terraform programming 4. Building backend applications using Python and deep learning frameworks 5. Deploying models and creating APIs (FAST API, FLASK API) 6. Experience working with GPUs 7. Working knowledge of Vector databases like Milvus, Azure Cognitive Search, Quadrant 8. Expertise in transformers and hugging face models such as llama, Mixtral AI, and embedding models Good to Have: 1. Knowledge and experience in Kubernetes, Docker 2. Cloud experience with VMs and Azure storage 3. Sound data engineering experience Behavioral Skills: - Excellent communication with clients and operational managers, actively listening and providing solutions - Strong problem-solving skills and ability to gather information effectively - Building strong relationships with clients, operational managers, and colleagues - Adaptability, prioritization, and ability to work under pressure to meet deadlines - Proactive thinking, anticipating problems, and offering innovative solutions - Effective presentation skills - Willingness to work extended hours when required,