• Design, build, and deploy Microsoft Copilot Studio agents—including topics, knowledge sources, generative orchestration, authentication, and content moderation—that automate enterprise workflows across the bank • Develop and maintain custom Power Platform connectors and MCP (Model Context Protocol) servers that securely expose internal banking systems and APIs to Copilot Studio agents and Power Platform makers • Architect and govern Dataverse solutions—tables, relationships, security roles, business rules, plug-ins, and elastic tables—serving as the system of record for Copilot Studio agents and Power Apps • Build agent tools, plug-ins, and reusable components in C# and .NET 10 to extend Copilot Studio with custom business logic, API integrations, and AI orchestration patterns (tool calling, RAG, declarative agents) • Operate Power Platform Application Lifecycle Management (ALM) at scale—managed environments, solution packaging, the ALM Accelerator, Power Platform CLI (pac), and pipelines integrated with GitHub Actions • Implement responsible AI governance—DLP policies, environment strategy, agent telemetry, evaluation harnesses, content safety, and grounding—ensuring compliance with bank security and regulatory standards • Partner with software, data, and AI engineers to integrate Azure OpenAI, Azure AI Foundry, and Azure AI Search into Power Platform and Copilot Studio solutions, including knowledge ingestion and retrieval pipelines • Mentor pro-code and citizen developers on Copilot Studio patterns, Power Platform ALM, secure coding, and AI engineering best practices; champion compliance with change management and SDLC standards.

• Design, build, and deploy scalable Generative AI platforms and applications. • Develop AI solutions leveraging AI Agents, RAG pipelines, and/or Knowledge Graph architectures. • Write clean, scalable, production-quality code using Python or Java. • Own end-to-end platform development and deployment within a DevOps environment. • Implement and maintain CI/CD pipelines using GitHub Actions and/or Jenkins. • Develop and manage Infrastructure as Code (IaC) using Terraform. • Deploy and manage solutions on AWS serverless services and/or Kubernetes-based infrastructure. • Collaborate with cross-functional teams to improve platform scalability, reliability, performance, and security. • Monitor, troubleshoot, and optimize AI platform operations in production environments. • Stay current with emerging AI technologies and recommend platform improvements and best practices.

Role Description This role provides the vision, strategy, functionality, and technology solutions for creating and maintaining distributed platforms for both public and private cloud infrastructure-based solutions. This entails the design and use of flexible platforms that deliver features, functionality, and services compatible with industry-leading providers while allowing legacy systems to interact safely when required. This position requires the necessary skills to provide technology research, evaluation, development, and delivery in support of infrastructure deployment solution lifecycles. This position collaborates with the Information Technology teams to lead the organization toward the deployment of technologies that may include PaaS, SaaS, hosted, and on-premises solutions – which will allow for flexible, secure, on-demand cloud-like functionality and services while endeavoring to provide resiliency and achieve cost reduction, while maintaining a highly secure and flexible environment. Qualifications - Level I: - In lieu of degree, seven (7) cumulative years related work experience required. - Associates degree in Computer Science, Information Technology, or related field with four (4) years of related experience required. - Bachelor’s degree preferred. - Awareness of security, compliance, and audit policies/procedures. - Experience with research, design, and implementation in assigned technologies. - Infrastructure operations and infrastructure project delivery experience essential. - Scripting and automation experience. - Strong communication skills. - Understanding of cloud computing infrastructure and concepts. - Knowledge of cloud and/or on-prem integration. - Demonstrates intermediate knowledge of a minimum of three (3) concepts and/or tools listed below: - VMware, Nutanix, or similar virtualization platform administration - Windows and/or Linux/Unix server administration - Azure - AWS - GCP - Terraform (or related IaC tool) - Ansible (or related configuration management technology) - Nutanix (or similar hyperconverged technology) - Vmware ESXi (or similar virtualization technology) - Linux - Windows Server - YAML (or similar markup) - JSON - REST API - GitHub (or related Git repository) - Azure DevOps - CI/CD - Level II (in addition to Level I qualifications): - Intermediate knowledge of a minimum of four (4) concepts and/or tools listed above. - Intermediate Infrastructure operations and infrastructure project delivery experience. - Demonstrates strong technical documentation ability. - Experience with IT computing resource management and optimization. - High degree of business maturity and demonstrated confidentiality; executes good judgment. - Strong scripting and automation experience. - Intermediate knowledge of Disaster Recovery. - Intermediate knowledge of security, compliance, and audit policies/procedures. - Level III (in addition to Level II qualifications): - Advanced knowledge of a minimum of four (4) concepts and/or tools listed above. - Advanced understanding of Disaster Recovery procedures related to IT infrastructure. - Ability to provide internal mentorship within team. - Professional certification in job-related technology. - Strategic vision in alignment with business objectives. - Level IV (in addition to Level III qualifications): - Advanced knowledge of a minimum of five (5) concepts and/or tools listed above. - Demonstrated competence in team leadership/technical leadership, facilitation, and project leadership. - Extensive knowledge of hybrid cloud environment. - Proven ability to act as a mentor for peers. Requirements - Acts as a high level escalation tier for operational support in assigned technical areas. - Conducts proof-of-concept testing in a lab environment. - Creates infrastructure design documents to outline production deployments. - Creates, updates, and maintains supporting documentation for technology standards. - Deploys new technology to production environment. - Designs infrastructure solutions to support business requirements. - Ensures assigned technologies are in alignment with the business. - Researches and implements hybrid cloud technology. - Supports high-level strategy for enterprise server environment. - Works directly with business stakeholders to gather IT infrastructure requirements. - Works with technology vendors and technical SMEs to produce corporate standards with regards to assigned technology areas. - Integrates multiple systems and/or technologies. - Acts as a team player with a high level of interpersonal skills. - Regular reliable attendance is expected and required. - Consistently demonstrates high standards of integrity by supporting the Lifetime Healthcare Companies' mission and values, adhering to the Corporate Code of Conduct, and leading to the Lifetime Way values and beliefs. - Executes good judgment and demonstrates personal accountability. - Maintains high regard for member privacy in accordance with the corporate privacy policies and procedures. - Performs other functions as assigned by management. Benefits - Participation in group health and/or dental insurance. - Retirement plan. - Wellness program. - Paid time away from work. - Paid holidays. Compensation Range(s) - Level I Min: 79,068 Max: 142,322 - Level II Min: 87,766 Max: 157,978 - Level III Min: 98,297 Max: 176,935 - Level IV Min: 110,093 Max: 198,168 Physical Requirements - Ability to complete work in a traditional office environment under fluorescent lighting. - Ability to orally communicate. - Must be able to function while sitting at a desk viewing a computer and using a keyboard and mouse for 3 or more hours at a time. - Must be able to travel across the enterprise. - Ability to work in a home office for continuous periods of time for business continuity. - Ability to provide on-call rotation support.

• Architect and implement the MLOps strategy for the program • Design and own enterprise-grade ML/LLM pipelines • Build container-oriented ML platforms (GKE-first) • Implement hybrid MLOps + LLMOps workflows • Serve as a technical authority across multiple internal and customer projects • Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems • Collaborate with cross-functional teams to deliver production-ready ML solutions • Ensure all solutions adhere to security, governance, and compliance expectations • Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation • Mentor engineers and provide guidance on modern MLOps tools