Architecture - Lead Architect

We are seeking a visionary AI Architect to serve as the technical cornerstone of our artificial intelligence strategy . While an AI Engineer builds the models, you will design the entire ecosystem they live in. You will be responsible for defining the high-level structure of our AI systems , ensuring they are scalable, secure, and seamlessly integrated with our enterprise infrastructure . As an Architect, you sit at the intersection of business value and technical feasibility, translating executive goals into robust technical blueprints.
This role involves defining the end-to-end architecture for AI solutions , encompassing data pipelines, model storage, inference engines, and front-end integration . The individual will be responsible for evaluating and selecting the optimal " tech stack ," including specific LLMs, vector databases, and orchestration frameworks , to meet the company's long-term needs. Key responsibilities also include establishing best practices for MLOps to ensure consistent coding standards, model versioning, and deployment strategies across the engineering team. The architect will design scalable systems capable of handling massive data throughput and low-latency inference for real-time applications. A critical aspect of the role is architecting " Human-in-the-loop " systems and guardrails to ensure data privacy, compliance (GDPR/CCPA), and AI safety . This position requires strong cross-functional leadership , acting as the technical liaison between Data Science, DevOps, and Product teams to align the AI roadmap with infrastructure capabilities.
Candidates should possess architectural expertise , including a deep understanding of distributed systems, microservices architecture, API design, and cloud-native patterns . Proficiency in designing complex data schemas for both structured and unstructured data, as well as experience with Infrastructure as Code (IaC) tools like Terraform or Ansible to manage AI infrastructure, is required. Technical proficiencies include expert-level knowledge of cloud platforms such as AWS (SageMaker), Azure (Azure ML), or GCP (Vertex AI). Mastery of the AI lifecycle , from frameworks like PyTorch/TensorFlow to deployment tools like Kubeflow, MLflow, or BentoML, is essential. An expert understanding of Generative AI , including Transformer architectures, RAG (Retrieval-Augmented Generation) , and fine-tuning methodologies, is also a key qualification.
The ideal candidate will have a proven track record of 5+ years in software engineering or data science , with at least 3 years in an architectural role . Cost management skills , specifically optimizing cloud spend for GPU/TPU resources, are crucial. Exceptional communication skills are also required, demonstrated through the ability to document architectural patterns and lead technical design reviews.
Lead to provide strategic consultation to business customers in defining or designing business processes, functions and organizational structures, as well as in researching, identifying and internally marketing enabling technologies based on customer capability requirements. Lead and participate in enterprise strategy development, including environmental analysis, opportunity identification, value cases and business innovation portfolio development.
Specify and design large or the most complex systems, solutions, networks, infrastructure elements, or processes. Lead reviews of others' system design to ensure selection of appropriate technology, efficient use of resources and integration of multiple systems and technology. Establish policy for selection of architecture components. Evaluate and undertake impact analysis on the most complex major design options. Ensure that the system architecture balances functional, service quality and systems management requirements.
Use appropriate tools, including models of components and interfaces, to contribute to the development of the most complex architectures. Produce detailed component requirements, specifications and translates these into detailed solutions/designs for implementation using selected products. Ensure that relevant technical and business strategies, policies, standards and practices are applied correctly.
Identify, propose, initiate, and lead significant improvement programs, taking responsibility for the quality and appropriateness of the work performed and the realization of measurable business benefits. Modify existing process improvement approaches and/or develop new approaches to achieving improvement.
Lead the resolution of a variety of architecture and business problems and serve as a technical or business lead for highly complex project initiatives.
Manage expectations of customers, partners and management
Participate in customer walkthroughs and plans; Maintain an in-depth knowledge of specific technical aspects in area of expertise and provides expert advice regarding their application. The area of specific expertise may be any aspect of information or communication technology, technique, method, process, product, or application area.
Provide leadership and mentoring in the areas of expertise and architecture to their peers, developers, management and business users including technical expertise, coaching, and ad-hoc training by:
Bachelor's Degree in Information Technology or closely related field

Health insurance industry business knowledge

Industry certifications such as Java Developer, DB2, Cogno, PEGA, Enterprise Architect(SCEA), Project Management

An Architect is not required to have experience in all of these, but is required to have those needed to support applications they are responsible for supporting. Oracle and Teradata Databases
Data Warehousing
Visual Basic

C++ SAS
Java/JavaScript Framework
SQL
J2EE
HTML5/XML
Project Management Tools: Waterfall and/or Agile
Does this role supervise/manage other employees?
Is Travel Required?
It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job.
Compliance Requirement: This position adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies.
As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements.
Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.
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