About the role

  • AI Application Architect designing AI-centric application architectures for Elevance Health while integrating AI models and capabilities into enterprise applications. Collaborating with engineering and data science teams to ensure scalable solutions.

Responsibilities

  • Creates architectural solutions that articulate the business context, conceptual design, and component-level logical design
  • Designs AI-centric application architectures and patterns that guide the integration of LLMs, ML models, and intelligent capabilities into enterprise applications
  • Builds and evaluates POCs/POTs to validate architectural patterns, reference implementations, and new AI frameworks
  • Creates linkage across architectural components, ensuring cohesive and scalable integration of AI workloads
  • Defines and evolves standards that incorporate AI, event-driven patterns, microservices, and enterprise integration approaches
  • Reviews emerging AI technologies for conformance to architecture guidelines and future-state direction
  • Develops foundational AI patterns, RAG architectures, and reusable modules that engineering teams can adopt
  • Ensures efficient infrastructure utilization, particularly for compute-heavy AI model workloads
  • Partners with engineering, data science, and cloud teams to evaluate end-to-end solution feasibility
  • Contributes to overall systems architecture vision and ensures specific components are appropriately designed and leveraged
  • Contributes to defining architecture standards and anticipates areas where architecture standards may need to be developed that are in-line with customer, IT and industry standards
  • Verifies efficient utilization of hardware and storage capacity
  • Develops linkage and relationship of architectural components
  • Identifies service requirements, component capacities and loads for planned business growth
  • Reviews an application/technology for conformance to the current architecture and standards

Requirements

  • BA/BS degree in Information Technology, Computer Science or related field of study
  • Minimum of 3 years of experience architecture/design in relevant technology disciplines
  • Hands-on experience designing AI-enabled architectures highly preferred
  • Hands-on experience when needed to develop quick POCs highly preferred
  • Strong understanding of LLM and GenAI integration patterns, RAG frameworks, embeddings, vector search highly preferred
  • Familiarity with cloud-native AI services (Azure OpenAI, AWS Bedrock, GCP Vertex) highly preferred
  • Experience building reference implementations and reusable frameworks highly preferred
  • Understanding of ML Ops architecture—feature stores, pipelines, model management highly preferred
  • Experience with microservices, event-driven systems, and domain-driven design as they relate to AI integration highly preferred
  • Knowledge of responsible AI principles and how to embed them into architectural patterns highly preferred
  • Ability to evaluate, compare, and recommend AI frameworks and platforms highly preferred

Benefits

  • comprehensive benefits package
  • incentive and recognition programs
  • equity stock purchase
  • 401k contribution
  • medical
  • dental
  • vision
  • short and long term disability benefits
  • Paid Time Off
  • paid holidays
  • wellness programs
  • financial education resources

Job title

AI Application Architect

Job type

Experience level

Mid levelSenior

Salary

$117,936 - $202,176 per year

Degree requirement

Bachelor's Degree

Location requirements

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