Join a dynamic AI Center of Excellence as an AI Engineer, where you’ll help shape innovative solutions that improve user experiences, automate workflows, and support cross-functional teams across the organization. This remote opportunity is ideal for a hands-on engineer who thrives in a collaborative environment and enjoys building practical, scalable AI and machine learning solutions.

Responsibilities

• Design, develop, and deploy AI, machine learning, generative AI, and agentic AI solutions that solve domain-specific business challenges
• Build and support workflows that extract complex, unstructured, and multimodal content into accurate structured data using cloud-based document processing tools
• Create and maintain interoperable AI agents and components using Model Context Protocol (MCP) and related frameworks
• Develop automated testing approaches for large language model solutions, including regression test suites to help identify prompt issues and model drift
• Integrate AI applications with internal and external services using secure authentication and authorization practices
• Apply responsible AI practices to help protect solutions from prompt injection, jailbreaks, and other security risks
• Build and maintain end-to-end ML pipelines covering data ingestion, training, evaluation, deployment, and monitoring in cloud environments
• Collaborate with data scientists, architects, product managers, and business stakeholders to align technical solutions with organizational goals
• Provide technical guidance, hands-on support, and mentorship to teams across the enterprise
• Create reusable tools, frameworks, and best practices that help accelerate AI development and adoption

Skills

• Bachelor’s degree in computer science, engineering, or a related field
• At least 3 years of experience designing and deploying real-world AI or machine learning solutions
• Strong Python development skills
• Hands-on experience with LLM APIs such as OpenAI, Azure OpenAI, Gemini, or Anthropic
• Practical experience with prompt engineering, context construction, grounding strategies, and retrieval-augmented generation (RAG)
• Ability to work with unstructured content from sources such as email, documents, PDFs, and webpages
• Experience building REST APIs and integrating with internal and external APIs
• Knowledge of machine learning algorithms, deep learning frameworks, cloud AI technologies, and emerging agentic AI technologies
• Experience with AWS services such as Lambda, Bedrock, Step Functions, API Gateway, IAM, SageMaker, ECS, and S3
• Understanding of MLOps practices, including CI/CD, model versioning, and model monitoring
• Experience with SQL, data engineering, and feature engineering
• Strong communication skills with the ability to explain technical ideas to both technical and non-technical audiences
• Familiarity with enterprise data privacy, AI governance, and observability practices

Preferred Skills

• Master’s degree in a related technical field
• Experience with agentic AI frameworks
• Experience with intelligent document processing and/or OCR technologies
• Knowledge of Google A2A
• Experience with observability tools for AI or GenAI environments, such as Dynatrace or similar platforms
• Experience working in highly regulated industries such as healthcare or finance
• Familiarity with Docker, Airflow, Kubeflow, Git, Jira, and Confluence
• Cloud provider certifications in AI or machine learning
• Contributions to open-source AI/ML projects or published research

We are committed to fostering a workplace where inclusion, equity, and belonging are valued and supported. We welcome candidates with a wide range of backgrounds and experiences, and we encourage individuals who are passionate about building responsible, impactful AI solutions to apply.