AI Platform Engineer_Associate_Software Engineering

ETS also delivers all workplace technologies (desktop, mobile, voice, video, productivity, intranet/internet) in integrated configurations that boost the personal productivity of employees. Architecture & Modernization Architecture & Modernization Drives development of the global firm strategy to define modern architectures and guardrails to reduce legacy debt, while partnering with app dev to accelerate the adoption of modern capabilities Cloud & Infrastructure Engineering This is Associate position that manages and optimizes technical infrastructure and ensures the seamless operation of IT systems to support business needs effectively. * Develop tooling and self-service capabilities for deploying AI solutions for the firm. Have a platform mindset and build common, reusable solutions to scale Generative AI use cases using pre-trained models as well as fine-tuned models. * At least 4 years' relevant experience would generally be expected to find the skills required for this role Strong hands-on Application Development background in at least one prominent programming language, preferably Python Flask or FAST Api. Broad understanding of data engineering (SQL, NoSQL, Big Data, Kafka, Redis), data governance, data privacy and security. Experience in development, management, and deployment of Kubernetes workloads, preferably on OpenShift. Experience with designing, developing, and managing RESTful services for large-scale enterprise solutions. Hands-on experience with multiprocessing, multithreading, asynchronous I/O, performance profiling in at least one prominent programming language, preferably python. Practitioner of unit testing, performance testing and BDD/acceptance testing. Understanding of OAuth 2.0 protocol for secure authorization. Proficiency with Open Telemetry tools including Grafana, Loki, Prometheus, and Cortex. Demonstrated experience in DevOps, understanding of CI/CD (Jenkins) and GitOps. Ability to articulate technical concepts effectively to diverse audiences. Strong desire and ability to influence development teams and help them adopt AI. Demonstrated ability to work effectively and collaboratively in a global organization, across time zones, and across organizations Understanding of deep learning , understanding of Machine Learning frameworks such as TensorFlow or PyTorch. Understanding of Information Security, Secure coding practices. Experience in building cloud and container native applications. Good knowledge of Microservice based architecture, industry standards, for both public and private cloud. Good understanding of modern Application configuration techniques. Hands on experience with Cloud Application Deployment patterns like Blue/Green. Good understanding of State sharing between scalable cloud components (Kafka, dynamic distributed caching). Good knowledge of various DB engines (SQL, Redis, Kafka, etc) for cloud app storage. Experience building AI applications, preferably Generative AI and LLM based apps. Deep understanding of AI agents, Agentic Orchestration, Multi-Agent Workflow Automation, along with hands-on experience in Agent Builder frameworks such Lang Chain and Lang Graph. Experience working with Generative AI development, embeddings, fine tuning of Generative AI models. Understanding of ModelOps/ ML Ops/ LLM Op. Understanding of SRE techniques. At our foundation are five core values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - that guide our more than 80,000 employees in 1,200 offices across 42 countries. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences.