Front Office Applied AI Engineer

Rate: Pay range offered to a successful candidate will be based on several factors, including the candidate’s education, work experience, work location, specific job duties, certifications, etc., Build additional tools that help salespeople prepare for meetings, prioritize clients, identify opportunities, distribute research, and generate market commentary. Create reusable prompt libraries, agent frameworks, and workflow templates. Develop next-best-action, client prioritization, and cross-sell recommendation capabilities. Deliver Commercial Analytics Build additional dashboards and analytics tools for Sales, Management, and COO teams. Develop revenue, wallet share, market share, pipeline, client activity, and coverage analytics. Integrate CRM, research, holdings, market activity, and sales data into actionable insights. Automate recurring reporting and management information workflows. Engineer for Production Design and build production-grade applications, APIs, workflows, and data products. Apply modern software engineering practices including testing, source control, CI/CD, monitoring, documentation, and release management. Partner with Technology, Data, Compliance, and Risk teams to deploy scalable and supportable solutions. Build Responsible AI Implement evaluation and monitoring frameworks for AI applications. Measure and improve quality, accuracy, hallucination risk, latency, cost, adoption, and user feedback. Ensure solutions are controlled, auditable, permissioned, and compliant. Build AI workflows that respect data entitlements, access controls, and governance requirements. Must Have Skills: Applied AI & Engineering, Delivered multiple AI agents and workflow automations used daily by Sales. Reduced manual administrative workload across coverage teams. Improved CRM discipline, client prioritization, and sales productivity. Enhanced cross-sell identification and meeting preparation. Improved management reporting and commercial analytics. Established scalable AI engineering, governance, and LLMOps practices across Global Markets Distribution. Helped build one of the industry’s most technology-enabled institutional sales organizations. ABOUT Ztek: Website: www.ztekinc.com Ztek Consulting Inc is a minority- and woman-owned business enterprise that leverages a unique blend of human talent, machine learning algorithms, and artificial intelligence to provide customized talent management solutions for clients. Ztek’s diversity-focused hiring models have proven successful, particularly in hiring veterans. The company’s veteran-focused hiring and deployment program, Z-V.E.T, matches skilled veterans with clients’ needs in various areas. Disclaimer: Ztek is an Equal Opportunity Employer and prohibits any kind of unlawful discrimination and harassment. Ztek is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment on the basis of race, color, religion or belief, national origin, citizenship, social or ethnic origin, sex, age, physical or mental disability, veteran status, marital status, domestic partner status, sexual orientation, or any other status protected by the statutes, rules, and regulations in the locations where it operates.If you are an individual with a disability and need a reasonable accommodation to assist with your job search or application for employment, please contact us at hrd@ztekinc.com Please indicate the specifics of the assistance needed. Ztek encourages all interested and qualified candidates to apply for employment opportunities. Ztek does not discriminate against applicants based on citizenship status, immigration status, or national origin, in accordance with 8 U.S.C. 1324b., Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader …

• 4 days ago +

Design and deploy AI agents, copilots, and workflow automations for Equities and Fixed Income Sales., Experience building production AI applications and agent-based workflows. Experience with LLMs, prompt engineering, RAG, semantic search, vector databases, and agentic frameworks. Familiarity with Azure OpenAI, Copilot Studio, Semantic Kernel, LangChain, CrewAI, AutoGen, or similar technologies. Experience with APIs, workflow orchestration, data pipelines, and enterprise integrations. Understanding of LLMOps, model evaluation, observability, monitoring, testing, and AI governance. Cloud & Platform Engineering Experience deploying applications on enterprise cloud platforms. Understanding of DevOps, CI/CD, containerization, identity management, monitoring, and access controls. Ability to build solutions that scale beyond prototype environments. Data Governance Experience working with sensitive business data in controlled environments. Understanding of entitlements, information barriers, auditability, and permissioning. Ability to build AI solutions grounded in approved and governed data sources. Commercial & Front Office Knowledge Strong understanding of institutional sales workflows and client coverage models. Familiarity with CRM workflows, client prioritization, research distribution, market commentary, and sales productivity tools. Understanding of revenue attribution, wallet share, market share, pipeline management, and client analytics. Working knowledge of Equities, Fixed Income, Credit, Rates, FX, Financing, or related capital markets businesses. Ability to engage credibly with Sales, Trading, Research, COO, Technology, and Compliance stakeholders. Sitting beside a salesperson discussing client coverage challenges. Building AI agents and workflows in Python. Writing complex SQL and data pipelines. Designing dashboards and analytics. Integrating enterprise systems and APIs. Monitoring and improving AI performance in production. Explaining technical concepts to senior business leaders. Taking a solution from idea to production deployment. You thrive in ambiguity, move quickly, and care deeply about building products that people actually use. Success in the Role