Staff AI Engineer

About

The client is seeking a Staff AI Engineer to design and deliver scalable, enterprise-grade AI solutions that support connected data initiatives and intelligent business capabilities across cloud-native platforms.

Day-to-Day Responsibilities

• Design and maintain production-ready AI services using AWS-native technologies
• Build and optimize retrieval augmented generation (RAG) pipelines and vector search solutions
• Develop LLM-powered APIs, workflows, and enterprise integrations
• Create document intelligence and unstructured data processing solutions
• Implement CI/CD pipelines, infrastructure as code, and observability practices
• Monitor and improve AI system performance, scalability, security, and cost efficiency
• Collaborate with architecture, data, platform, and product teams on AI initiatives
• Mentor engineering teams on AI engineering best practices and cloud-native development
• Conduct code reviews and provide technical design guidance
• Support governance, compliance, and auditability requirements for AI systems

Requirements

Must-Haves:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• 10 years of software engineering experience
• 3–5 years focused on AI/ML or intelligent systems
• 2–3 years of hands-on AWS AI/ML engineering experience
• Experience building enterprise-scale LLM and RAG-based systems
• Strong experience with AWS services including Bedrock, SageMaker, Lambda, OpenSearch, S3, and DynamoDB
• Experience with Claude or similar large language model technologies
• Hands-on experience with AI agents and agentic workflows
• Expertise in cloud-native, serverless, and event-driven architectures
• Strong background in API design, microservices, and software architecture
• Experience with infrastructure as code, CI/CD, and observability practices
• Knowledge of governance, metadata management, lineage, and access controls
• Experience with document intelligence and unstructured data processing

Nice-to-Haves:

• Experience with enterprise AI governance and model risk management
• Exposure to DataOps and MLOps frameworks
• Experience creating reusable AI frameworks and accelerators
• Insurance or financial services industry experience
• Strong mentoring and technical leadership background

Benefits

This role is eligible to enroll in both Mondo's health insurance plan and retirement plan. Mondo defers to the applicable State or local law for paid sick leave eligibility