Job Number: 254862
Category: Technology
Location: United States
Remote Type: Remote
Job Level: Experienced
Progressive is dedicated to helping employees move forward and live fully in their careers. Your journey has already begun. Apply today and take the first step to Destination: Progress.
As an AI engineer senior or lead, you’ll play a critical role in advancing Progressive’s enterprise AI capabilities by leading the design, development, and execution of Pygressive’s Generative AI platform initiatives. Leveraging your deep expertise in AI engineering, data infrastructure, and scalable platform design, you will build foundational services, pipelines, and tools that drive secure, reliable, and impactful AI applications across the organization. You will shape core components of our Generative AI stack, including prompt orchestration, vector storage, RAG pipelines, and model deployment tooling. Collaborating closely with engineers, data scientists, and product stakeholders, you will accelerate GenAI adoption, streamline operations, and deliver repeatable, scalable platform solutions. This role offers a unique opportunity to provide both technical and strategic leadership, defining how Progressive builds, scales, and governs AI in a federated and rapidly evolving environment.
This is a remote position for US based work only.

MUST-HAVE QUALIFICATIONS

• Bachelor’s Degree or higher in an Information Technology discipline or related field of study and minimum of two years of work experience designing, programming, and supporting software programs or applications.
• In lieu of degree, minimum of four years related work experience designing, programming, and supporting software programs or applications may be accepted.

PREFERRED SKILLS

• 7+ years of experience in AI/ML engineering, platform architecture, or data infrastructure, with a proven record of assisting in enterprise AI platform efforts and collaborating with cross-functional teams to deliver end-to-end solutions aligned with business strategy.
• Proven experience building and scaling ML/AI systems in production, including LLMs, embeddings, RAG architectures, and NLP models. Hands-on expertise with LLM integration frameworks (e.g., LangChain), vector databases (e.g., FAISS, Pinecone), and prompt or embedding design for search and retrieval use cases.
• Proficient in Python for developing APIs, ML services, and orchestration tools (such as Prefect, Airflow, or dbt), with deep experience in containerized deployment using Docker, Kubernetes, and scalable microservice architectures.
• Extensive experience deploying, managing, and monitoring models with MLflow, SageMaker, Azure ML, or Vertex AI, including responsible AI practices, model observability, and drift detection.
• Skilled in Infrastructure-as-Code (IaC), CI/CD, and GitOps workflows (e.g., Terraform, ArgoCD, GitHub Actions, Helm), with a strong focus on scalable, reusable, and maintainable platform components.

Please refer the Job description for details