{"schemaVersion":"jobsearcher.job.v1","id":"81e0dc0f664c9ea974817db7","url":"https://jobsearcher.com/jobs/81e0dc0f664c9ea974817db7","canonicalUrl":"https://jobsearcher.com/jobs/81e0dc0f664c9ea974817db7","title":"Artificial Intelligence Engineer","description":"Location - Remote with occasional travel to Austin, TX / Fort Mill, SC ( Hybrid) Key Responsibilities· Define and maintain the end-to-end AI-PDLC workflow linking code-graph analysis, LLM evaluation, dispositioning, data migration, and productionization.Review outputs across the pod to ensure consistency, traceability, and coherence between iterations — recognizing that discovery continues through implementation, testing, cutover, and post-go-live defect remediation.Resolve cross-workstream conflicts (e.g., a graph finding that changes a data migration disposition) and ensure a single source of truth.Set the quality bar for what constitutes a \"defensible\" disposition and hold the pod accountable to it.Coordinate access to Wipro’s broader Agentic AI CoE, Data Engineering, and Architecture Community so the pod benefits from cross-engagement patterns, not just its own five members.Required Skills· Amazon Bedrock (mandatory — production experience, not POC/evaluation)AI-PDLC / AI product development lifecycle disciplineCross-workstream technical coordination across AI, data, and application teamsClient-facing communication and escalation management with senior stakeholdersArchitecture governance in regulated/financial services environmentsRelevant Experience· 10+ years in AI/data/software architecture with recent experience leading GenAI or Agentic AI delivery pods.Confirmed hands-on AWS Bedrock production deployment (not just AWS familiarity).Proven experience as a single technical point of contact for enterprise clients on complex, multi-year modernization/migration programs.Financial services / capital markets / wealth management domain experience strongly preferred.Expected Deliverables / Work Products· AI-PDLC workflow and governance modelPod status and escalation reportingCross-workstream consistency reviewsDisposition quality/defensibility bar and audit trail","company":"Innorev Technologies","rawCompany":"innorev technologies","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-22T11:30:34.503Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1299.07","title":"Blockchain Engineers","slug":"blockchain-engineers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Artificial Intelligence Engineer","description":"Location - Remote with occasional travel to Austin, TX / Fort Mill, SC ( Hybrid) Key Responsibilities· Define and maintain the end-to-end AI-PDLC workflow linking code-graph analysis, LLM evaluation, dispositioning, data migration, and productionization.Review outputs across the pod to ensure consistency, traceability, and coherence between iterations — recognizing that discovery continues through implementation, testing, cutover, and post-go-live defect remediation.Resolve cross-workstream conflicts (e.g., a graph finding that changes a data migration disposition) and ensure a single source of truth.Set the quality bar for what constitutes a \"defensible\" disposition and hold the pod accountable to it.Coordinate access to Wipro’s broader Agentic AI CoE, Data Engineering, and Architecture Community so the pod benefits from cross-engagement patterns, not just its own five members.Required Skills· Amazon Bedrock (mandatory — production experience, not POC/evaluation)AI-PDLC / AI product development lifecycle disciplineCross-workstream technical coordination across AI, data, and application teamsClient-facing communication and escalation management with senior stakeholdersArchitecture governance in regulated/financial services environmentsRelevant Experience· 10+ years in AI/data/software architecture with recent experience leading GenAI or Agentic AI delivery pods.Confirmed hands-on AWS Bedrock production deployment (not just AWS familiarity).Proven experience as a single technical point of contact for enterprise clients on complex, multi-year modernization/migration programs.Financial services / capital markets / wealth management domain experience strongly preferred.Expected Deliverables / Work Products· AI-PDLC workflow and governance modelPod status and escalation reportingCross-workstream consistency reviewsDisposition quality/defensibility bar and audit trail","datePosted":"2026-08-22T11:30:34.503Z","dateModified":"2026-08-22T11:30:34.503Z","hiringOrganization":{"@type":"Organization","name":"Innorev Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"81e0dc0f664c9ea974817db7"},"url":"https://jobsearcher.com/jobs/81e0dc0f664c9ea974817db7"}}