Sr Staff AI Engineer

Job Summary:The Sr. Staff AI Engineer is a senior individual contributor responsible for designing and delivering scalable, productionready AI solutions that advance Penn Mutual’s Connected Data Strategy. This role applies deep software and AI engineeringexpertiseto deliver enterprise AI capabilities across LLMbased services, retrievalaugmented generation (RAG), document intelligence, and cloudnative integrations,leveragingAWSnative technologies, domainowned data products, andthirdpartySaaS platforms.

Responsibilities

AIEngineering:

• Design, implement, andmaintainproduction AI services using AWSnative technologies such as Bedrock, SageMaker, Lambda,EventBridge, OpenSearch, S3, and DynamoDB.

• Build andoperateretrievalaugmented generation (RAG) pipelines, including embedding strategies, vector search, prompt orchestration, and response evaluation.

• Engineer LLMenabled 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.

Quality and Operations:

• 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.

Leadership and Collaboration:

• 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 AIrelated initiatives.

• Mentor engineers and teams on applied AI engineering patterns, cloudnative 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.

Governance andCompliance:

• Implement AI solutions that adhere to enterprise governance, security, privacy, and model risk standards.

• Ensure AI systems are observable, auditable, and welldocumented to support compliance and operational oversight.

• Partner with governance and compliance teams to align technical implementations with applicable policies.

Minimum Qualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the minimum knowledge, skill, and ability required. 

• Bachelor’s orMaster’s degree in Computer Science, Engineering, ora relatedfield.

• 10+ years of experience in software engineering, with 3–5+ years focused on AI/ML, dataintensive, or intelligent systems.

• 2–3+ years ofhandsonexperience delivering AI/ML solutions on AWS.

• Demonstrated experience with enterprisescaleLLMbasedsystems, including retrievalaugmented generation (RAG) and vector search.

• Strongproficiencyin cloudnative, serverless, and eventdriven architectures.

• Experience withMLOps/DataOpsconcepts, infrastructure as code, and production observability.

• Deep technicalexpertisein software architecture, cloud computing, microservices, API design, and data architecture.

• Expertise incloudnative and serverless integration patterns.

• Strong understanding of governance, metadata management, catalogs, lineage, and access controls.

• Handsonexperience with unstructured data and document intelligence solutions.

Competencies: 

• Customer Service: Exceptional attitude and a passion for providing outstanding service to internal customers. 

• Attention to Detail: Thoroughness in accomplishing a task through concern for all the areas involved.Monitors and checks work or information and plans and organizes time and resources efficiently.

• Analytical Skills: Collects and researches data; Designs workflows and procedures; Identifies data relationships and dependencies.  

• Communications: Exhibits good listening and comprehension. Expresses ideas and thoughts in verbal and written form. Keeps others adequatelyinformed. Selects and uses appropriate communication methods.   

• Problem Solving: Ability to solve issues efficiently and quickly.   

• Relationship Management: Manages interactions to service and support to the organization; establishes credibility with all interactions. 

• Teamwork: Contributes to building a positive team spirit. Exhibits objectivity and openness to others' views. 

Supervisory Responsibilities: No 

Base Salary Range - $148,000- $190,000