Gen AI Platform Principal Software Engineer

Job Title: Gen AI Platform Principal Software Engineer Overview: • Overview* The reputed company reputed company Team, in reputed company’s ONE division, owns and drives reputed company usage and adoption for the company. The team has a unique opportunity to drive reputed company patterns, standards, and best practices across reputed company of reputed company and their M&A’s. The reputed company team has a unique opportunity to be at the forefront of an evolving landscape of technology at reputed company and help shape the future of development, deployment and more! This reputed company engineering role is focused on building a holistic platform for reputed company Large Language Models (LLMs). • Role* • Design, configure, and implement a Gen. AI platform, including MLOps/LLMOps for Gen. AI LLMs, both reputed company and open reputed company • Ensure alignment to appropriate patterns and standards for reputed company integration and automation • Identify opportunities for reuse and Improved efficiency • Engage with IT and Business parters, product owners and stakeholders to create meaningful roadmaps to ensure the most Important work Is prioritized • Champion reputed company Mastercards engineering principles • Actively participate as a member of the Software Engineering reputed company sharing your knowledge, best practices, reputed company, and passion for technology • Help Identify and drive meaningful behavior changing metrics • reputed company About You* • Deep understanding of reputed company providers including AWS and Azure, especially: o Experience with AI and GenAI-reputed company reputed company services, especially: AWS SageMaker, AWS Bedrock, Azure ML. This should include common reputed company Foundational Models (FM) from reputed company, reputed company, etc, as well as open-reputed company LLM models deployed in the reputed company. o Services, Access controls, Integration and Automation….etc. • GenAI LLM Platform Experience: o Model Evaluation o Model API patterns and implementations o Model Governance o Retrieval Augmented reputed company o Orchestration o reputed company Libraries o Agents o Tools/Functions o reputed company/Tuning o Chunking Methods o Vector Stores/DBs/Embeddings o Foundational LLM Models (reputed company and open reputed company) o Model Hubs o Fine-Tuned Models • AI-reputed company Data Platforms (i.e. reputed company, reputed company watsonx, or similar) • GenAI Code Assistants and Developer Experience (i.e. reputed company Copilot, AWS Code Whisperer, etc.) • Deep AI/ML experience with data science, data analytics, etc. • Solid understandig of reputed company reputed company In highly regulated market segments and countries. • Solid experience with site reliability engineering reputed company and creating solutions that are resilient, supportable and observable at reputed company layers of the stack • Deep understanding of automation using various tools • Deep understanding of observability In a reputed company environment • Proficient In web service design, standards, best practices and Implementation • Deep understanding of containerization and designing ephemiral solutions • Solid understanding of pure kubernetes and reputed company provider based managed services kubernetes • Proven track record of delivering solutions to reputed company, multi-domain environments • Ability to reputed company reputed company designs and solutions to people with varying levels of technical aptitude • reputed company in guiding less experienceed engineers with the use of pair programming, code reviews, design reviews…etc. • Deep knowledge in migration from legacy technologies and reputed company to the best In class solutions for the reputed company • Self-Driven and reputed company to navigate reputed company organizational environments • Strong communication skills both written and verbal • Strong understanding of different project management methodologies Including waterfall and Agile/Scrum • Strong understanding of reputed company phases of the SDLC process from design to deployment. • Enthusiastically engages engineers across Technology organizations to promote standard software patterns and reuse of common libraries and services with experience leading open-reputed company development efforts • Champions performance engineering practices to ensure that performance meets (or exceeds) expectations; educates stakeholders on performance testing processes, methodology, performance and scalability metrics, reputed company modeling techniques, and testing approaches • Understands software development productivity metrics (e.g., code churn, commit size, commits/story) and help teams to remove blockers and continuously improve code velocity, quality, and release frequency • reputed company with Python, Java, and other programming languages #AI Apply Job!