Senior Staff AI Engineer (100% Remote)

The Mom Project is excited to support our client, a leader in the life insurance industry, with their search for an experienced Senior Staff AI Engineer to join their team on a full-time basis.

Our client's expertly crafted life insurance is vital to long-term financial health and strengthens people’s ability to enjoy every day. Working with their trusted network of financial professionals, they take the long view, building customized solutions for individuals, their families, and their businesses.

About the Role:

This role applies deep software and AI engineering expertise to deliver enterprise AI capabilities across LLM-based services, retrieval augmented generation (RAG), document intelligence, and cloud native integrations, leveraging AWS native technologies, domain-owned data products, and third-party SaaS platforms.

Responsibilities:

AI Engineering:

• 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.

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 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.

Governance and Compliance:

• 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.

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 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.

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 adequately informed. Selects and uses appropriate communication methods.
• Problem Solving: Ability to solve issues efficiently and quickly.
• Relationship Management: Manages interactions to service and support the organization; establishes credibility with all interactions.
• Teamwork: Contributes to building a positive team spirit. Exhibits objectivity and openness to others' views.

Hours and Location:

• M-F, 40 hours/week
• 100% remote