Infrastructure Engineer

Job Description This role is responsible for defining architectural vision and architecture for large, complex AI, automation, and orchestration capabilities that support the Network AI and Agentic Transformation across Network Services. Key responsibilities include describing solution intent and operating context, evaluating system impacts, determining primary systems, subsystems, and interfaces, and defining the architectural runway needed to support new use‑cases, reusable capabilities, and expansion into additional opportunities. This role is intentionally designed to operate flexibly across the Research Strategy, Engineering Delivery, and Deterministic Automation pillars, allowing the individual to contribute where demand is highest based on organizational need and candidate strengths. Compared with the Architect role, this individual carries broader accountability for shaping complex multi‑domain architecture, guiding architecture direction across a larger body of work, contributing to standards and roadmap evolution, and helping ensure solutions are positioned for scalable, governed, and production‑ready adoption. The individual in this role works across business, engineering, architecture, platform, and operations stakeholders to shape patterns for AI‑enabled workflows, agentic capabilities, integration architecture, and deterministic execution models that align to enterprise strategy, governance, and delivery constraints. Scope of Work There are two different buckets these candidates may fall into: Tool Integration The model will require integration with tools—either those implemented directly within the model or owned by the network. Primary goal: enable the model to execute actions and retrieve/provide data as needed. This will require setting up the underlying infrastructure, including MCP gateways. Context & Knowledge Current CI data is not fully reliable and may be incomplete or inconsistent. There is a clear need to improve overall data quality. Dedicated resources or ownership will be required to clean, maintain, and enhance the data over time. Equal Opportunity Statement We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements Strong experience defining architecture and architectural vision for large, complex technology capabilities spanning application, data, integration, automation, and workflow domains. Ability to operate flexibly across strategy, architecture, engineering, and automation domains, supporting whichever pillar has the greatest need at a given time. Experience shaping architecture for AI‑enabled use‑cases, workflow orchestration, tool integration, and deterministic automation execution patterns across multiple teams or domains. Strong understanding of how to evaluate system impacts, interfaces, dependencies, non‑functional requirements, and implementation tradeoffs for complex enterprise solutions. Ability to translate evolving business and transformation objectives into architectural direction, implementation pathways, reusable patterns, and future‑state design considerations. Experience facilitating solution‑driven discussions and helping stakeholders move from high‑level concepts to scalable, modular, and governed architectural choices. Strong knowledge of enterprise architecture standards, technology governance, security expectations, and controlled delivery requirements in a regulated environment. Familiarity with AI and agentic solution concepts, including context grounding, tool interaction patterns, model‑enabled workflows, orchestration approaches, and guardrail considerations. Strong understanding of deterministic automation concepts, including workflow sequencing, approval points, rollback considerations, exception handling, and separation of decision and execution layers. Experience working across architecture, engineering, product, delivery, and operations stakeholders to establish alignment on design intent, delivery feasibility, and implementation readiness. Ability to define non‑functional requirements covering security, performance, resiliency, scalability, maintainability, supportability, and observability for complex solutions. Experience contributing to reusable reference patterns, architectural standards, templates, roadmaps, and design guidance that improve consistency and speed across teams and domains. Strong analytical thinking and architectural judgment, including the ability to compare solution options, evaluate longer‑term implications, and guide tradeoff decisions at scale. Experience supporting more junior architects or engineers through architectural guidance, design reviews, and practical mentorship. Strong written and verbal communication skills with the ability to explain architecture, risks, constraints, and implementation implications clearly to technical and non‑technical audiences, including senior stakeholders. Experience working in a fast‑paced and complex global environment with evolving priorities, interdependencies, and incremental delivery expectations. #J-18808-Ljbffr