Artificial Intelligence Engineer

No C2C - W2 Only Hybrid Position: 4 days per week onsite Skills Based Assessment: Google Cloud Platform Engineer Position Description • The Global Data Insight & Analytics organization is looking for a Software Engineer to help build and drive the development of generative AI applications that will transform the future of mobility. • In this role, you will work in a dynamic, cross-functional team, collaborating directly and continuously with engineers, business partners, product managers, and designers. • You will be responsible for developing cutting-edge generative AI applications and systems that can be deployed across various domains within Ford, enabling smarter decision-making, enhancing customer experiences, and optimizing operations. Position Responsibilities • Work closely with Tech Anchors, Product Managers, and Product Owners to deliver generative AI solutions on GCP using Python and a modern, full-stack architecture. • Work with software and ML engineers to tackle challenging problems in building and deploying agentic AI solutions. • Design, build, and maintain cloud infrastructure using Infrastructure as Code (IaC) principles, managing configurations for dev, staging, and prod environments. • Maintain and manage current CI/CD ecosystem and tools. • Find ways to automate and continually improve current CI/CD and release processes. • Examine, inspect code and scripts, and resolve issues across the full application stack. • Help innovate and standardize development practices for building cloud-native AI products. • Experiment, innovate and share knowledge with the team. • Lead by example in the use of Paired Programming and Test-Driven Development for cross-training, problem-solving, and speed to delivery. • Leverage latest ML / GenAI / agent frameworks to build complex AI workflows. Basic Qualifications • A Bachelor’s degree in Computer Science / Computer Engineering or a similar technical discipline. • 3+ years of work experience as a backend software engineer in Python with exceptional software engineering knowledge. • 2+ years of experience with Cloud Engineering, with familiarity in at least one major cloud platform (GCP, AWS, Azure). • Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, Cloud Run, BigQuery etc. • Advanced working knowledge of object-oriented/object function programming languages: Python, C/C++. • Strong proficiency with web frameworks and REST API (e.g., FastAPI, Flask, Django). Experience Required • 6+ years in IT • 4+ years in development • Engineer 3 Exp: Practical experience in 2 coding languages or advanced practical experience in 1 language • MLOPs, Gen AI, AI agents. • ML workflow orchestration tools: Airflow, Kubeflow etc. • DevOps and CI/CD principles: Jenkins, Tekton, Cloud Build, GitHub Actions etc. • Container management solutions: Kubernetes, Docker. • Scripting language: Bash, PowerShell etc. • Infrastructure as Code: Terraform etc.