Join our team as a Remote AI/IT Specialist supporting technological infrastructure. Contribute to IT operations, covering web design, Python development, SEO, and cybersecurity.
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
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