Lead AI Solutions Architect (Lead AI Engineer)

Compensation: USD129,880-214,303per year.

What you’ll do: Lead thedesign, delivery, and continuous improvementof AI-enabled automation and agentic solutions by setting technical standards, guiding implementation through production deployment, and mentoring teams to improve quality, scalability, and business value. Own end-to-end engineering forAI-enabled workflows and solutions, including the creation, integration, testing, deployment, and operations of agents and shared platform capabilities. Take responsibility for technical delivery fromproof of conceptthrough production support for AI and automation initiatives. Createreusable reference implementations, components, and engineering patternsfor knowledge assistants, retrieval-augmented generation (RAG), agents, tool and API integrations, human-in-the-loop controls, and citizen developer capabilities. Define howstand-alone and embedded RPA workflowsand AI agents fit within enterprise architecture, and guide engineers in buildingsecure, scalable, maintainablesolutions. Lead integrations across enterprise applications, data services, APIs, and approved AI and orchestration platforms. Establish and improve engineering practices, includingversion control , CI/CD, evaluation frameworks, regression testing, and release management for AI, agent, and workflow solutions. Define and validatenonfunctional requirementssuch as reliability, scalability, performance, observability, auditability, and supportability. Implement approved data access, identity, least-privilege, and governance controls in partnership with Architecture, Information Security, and Data teams. Lead technical design, code, testing, and production-readiness reviews, resolve complex implementation issues, and provide escalation support. Build operational excellence through monitoring, logging, alerting, operational dashboards, runbooks, and incident response procedures to improve platform performance and resiliency. Evaluate AI and agentic technologies using technical proofs of value and recommend platform, vendor, and solution approaches; provide thought leadership on emerging AI, automation, and digital transformation technologies. Mentor engineers, coordinate delivery across teams, and promote reusable engineering practices that improve consistency and delivery effectiveness. Perform other duties as assigned. What you bringHigh School DiplomaorGEDrequired. Bachelor’s Degreein a related field or equivalent years of experience required. 7-10 yearsof prior relevant experience required. Demonstrated experience designing, implementing, and deploying in production for traditional AI, ML, generative AI, and agentic AI. Advanced knowledge of enterprise solution architecture, cloud platforms, systems integration, and distributed application design. Expertise in designingAPI-driven, event-driven, and AI-enabledsolutions that support enterprise scalability, security, and operational effectiveness. Advanced knowledge of generative AI, LLMs , RAG, AI agents, intelligent automation, andRPAplatforms and orchestration, including low-code development technologies. Strong knowledge ofidentity and access management, security architecture, data governance, privacy requirements, andzero-trust principles. Knowledge of enterprise data architecture, integration patterns, observability frameworks, and operational support considerations. Ability to evaluate technologies, vendors, and architectural approaches and recommend options aligned to business needs and enterprise standards. Ability to establish technical standards, reference architectures, design patterns, and governance practices that support consistency, scalability, and maintainability. Ability to lead cross-functional solution design, influence technical decisions, and communicate complex architectural concepts and tradeoffs to technical and business stakeholders. Preferred certificationsMicrosoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) Microsoft Certified: Machine Learning Operations Engineer Associate (AI-300) Microsoft Certified: AI Agent Builder Associate (AB-620) AWS Certified Generative AI Developer – Professional Key technologiesRAG , RPA (robotic process automation) , CI/CD , LLMs, Azure AI Apps and Agents Developer Associate (AI-103), Microsoft Machine Learning Operations Engineer Associate (AI-300), AI Agent Builder Associate (AB-620), AWS Certified Generative AI Developer – Professional, andzero-trust principles. Additional job functionsPerforms other duties as assigned. Complies with regulatory compliance and assigned training requirements, including but not limited toBSA regulationscorresponding to their specific job duties. Failure to do so may result in disciplinary and other employment related actions.