Sr Staff AI Engineer

Penn Mutual is a company that has been empowering individuals, families, and businesses for over 175 years. The Sr. Staff AI Engineer will be responsible for designing and delivering scalable AI solutions that advance the company's Connected Data Strategy, leveraging AWS technologies and enterprise AI capabilities.

Responsibilities:

• Design, implement, and maintain production AI services using AWS native technologies such as Bedrock, SageMaker, Lambda, EventBridge, OpenSearch, S3, and DynamoDB
• Build and operate retrieval augmented generation (RAG) pipelines, including embedding strategies, vector search, prompt orchestration, and response evaluation
• Engineer LLM enabled APIs and workflows that integrate directly into enterprise applications and data products
• Develop solutions for unstructured data and document intelligence, including extraction, enrichment, classification, and search
• Apply strong software engineering practices including CI/CD, automated testing, infrastructure as code, and runtime observability
• Ensure AI systems meet requirements for performance, scalability, security, cost efficiency, and resilience
• Partner with platform and operations teams to support production readiness, monitoring, and ongoing optimization of AI workloads
• Continuously improve solution quality through experimentation, tuning, and performance analysis
• Collaborate closely with Architecture, Data, Platform, and Product teams to deliver AI solutions aligned with enterprise direction and domain needs
• Provide technical leadership through implementation, code reviews, and design guidance for AI related initiatives
• Mentor engineers and teams on applied AI engineering patterns, cloud native development, and responsible AI practices
• Contribute reusable components, patterns, and reference implementations to accelerate AI adoption across IM&T
• Assist Software Engineering leaders with project planning via recommendations on scope, estimates, priority, and dependencies
• Implement AI solutions that adhere to enterprise governance, security, privacy, and model risk standards
• Ensure AI systems are observable, auditable, and well documented to support compliance and operational oversight
• Partner with governance and compliance teams to align technical implementations with applicable policies

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 10+ years of experience in software engineering, with 3–5+ years focused on AI/ML, data intensive, or intelligent systems
• 2–3+ years of hands-on experience delivering AI/ML solutions on AWS
• Demonstrated experience with enterprise scale LLM-based systems, including retrieval augmented generation (RAG) and vector search
• Strong proficiency in cloud native, serverless, and event driven architectures
• Experience with MLOps/DataOps concepts, infrastructure as code, and production observability
• Deep technical expertise in software architecture, cloud computing, microservices, API design, and data architecture
• Expertise in cloud native and serverless integration patterns
• Strong understanding of governance, metadata management, catalogs, lineage, and access controls
• Hands-on experience with unstructured data and document intelligence solutions