Director - Agentic AI Transformation

2 days ago


Houston, United States Galent Full time

Job SummaryThe Director – Agentic AI Transformation leads forward-deployed delivery of enterprise-grade generative and agentic AI solutions for financial services clients. This role owns end-to-end context engineering, retrieval architecture, agent orchestration, and AI governance, ensuring solutions are production-ready, compliant, and measurable against business and regulatory outcomes. Embedded within client environments, the Director partners with executive stakeholders to translate strategic objectives into scalable AI systems.Key ResponsibilitiesClient Leadership & StrategyPartner with C-suite leaders (CFO, CIO, COO, CRO, CCO) to define multi-year AI transformation roadmaps with governance and risk-adjusted ROI.Operate in a forward-deployed model, leading solutions from discovery through production and value realization.Lead workshops to identify and prioritize high-impact AI use cases across credit, risk, AML/CFT, and wealth advisory.Context Engineering & Agent ArchitectureDesign and govern end-to-end context architectures including RAG pipelines, vector databases, knowledge graphs, semantic layers, memory stores, and agent orchestration.Architect secure, low-latency retrieval systems integrating core banking, risk, regulatory, market, and customer data.Define agent tool schemas, guardrails, validation rules, and escalation patterns for safe interaction with enterprise systems.AI Governance, Risk & EvaluationEmbed BCBS 239-aligned data lineage, quality controls, metadata, and auditability into AI pipelines.Translate NIST AI RMF, ISO 42001, EU AI Act, and internal policies into enforceable architectural and operational controls.Define and implement AI evaluation frameworks covering accuracy, hallucination risk, bias, fairness, latency, cost, and compliance.Lead red teaming and adversarial testing for high-risk AI use cases.Cloud, Platform & MLOpsOwn AI platform strategy across AWS, Azure, and GCP, and enterprise data platforms such as Snowflake, Databricks, Palantir Foundry, and Microsoft Fabric.Architect secure, scalable, and auditable AI infrastructure meeting financial services security and regulatory standards.Establish MLOps and LLMOps pipelines ensuring reproducibility, governance, and safe iteration.Business Development & Practice LeadershipSupport go-to-market efforts including solutioning, proposals, SOWs, and executive presentations.Develop thought leadership assets and reference architectures.Mentor and scale teams of context, platform, and evaluation engineers.Required Qualifications12+ years in data, AI, or platform engineering with senior leadership experience in financial services.Deep hands-on expertise with LLMs and agentic systems (GPT-4, Claude, LLaMA) and production RAG architectures.Strong knowledge of AI governance and risk frameworks (BCBS 239, NIST AI RMF, ISO 42001, EU AI Act).Production experience on AWS, Azure, or GCP; strong Python and one of TypeScript, Java, or Scala.Experience with Kubernetes, Docker, IaC, CI/CD, and API-driven architectures.Preferred QualificationsExperience leading forward-deployed or client-embedded AI transformation engagements.Background in credit, risk, compliance, trading, or wealth management AI use cases.Proven executive communication and stakeholder management skills.



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