Top Artificial Intelligence Jobs

Design and deliver LLM-powered, agentic AI systems to automate customer support and compliance. Build scalable, secure backend infrastructure in Python and Go, integrate third-party models/APIs, implement grounding and guardrails, and measure performance. Lead end-to-end projects, mentor engineers, conduct code reviews, and participate in on-call and incident response to improve resolution times and reduce operational costs.

Lead design and build of a global AI/ML deployment platform: architect control plane, multi-region deployments, APIs, autoscaling, and integrations. Own technical direction, engage clients, drive governance of AI-assisted development, and ensure resilient, secure production-grade infrastructure.

Lead architecture and delivery of production-grade agentic AI and NLP solutions for client onboarding. Design reusable frameworks (RAG, multi-agent orchestration, LLMs), integrate agents into enterprise systems, define safety/guardrails, advise stakeholders, and champion AI-assisted SDLC improvements to improve delivery, quality, and operational outcomes.

Own design, implementation, and optimization of AI-powered support workflows across chat, voice, and email. Automate repetitive tasks, run pilots, monitor KPIs (CSAT, containment, deflection, productivity), establish quality standards, and partner cross-functionally with Product, Engineering, CX, Analytics, and external AI vendors to scale solutions.

Lead Software Engineer designs, develops, and delivers secure, scalable cloud-native applications (Python/Java/React/AWS). Leads architecture reviews, promotes AI-assisted engineering practices, drives CI/CD and automation, mentors teams, evaluates vendors, and improves operational stability and resiliency.

Lead design, develop, and deliver secure, scalable production software. Drive architecture evaluations, improve operational stability via automation, and champion AI-assisted engineering practices. Mentor teams, enforce secure SDLC/CI/CD standards, and integrate cloud-native solutions using Python, Java, React, and AWS.

Lead architecture and build scalable AI Agents and core backend infrastructure. Drive technical standards, mentor engineers, collaborate cross-functionally, ensure availability, scalability, cost management, and operational excellence across multiple teams and locations.

Lead enterprise AI/SEO strategy for One Chase hubs to protect and grow organic visibility. Define content strategy, taxonomy, on-page and technical SEO, AI-enabled content workflows, governance, measurement, and cross-functional coordination to drive qualified traffic and ensure compliance.

Lead design and implement scalable, secure ML and LLM-powered solutions on cloud. Produce production-quality Python code, build data pipelines and model inference services, drive AI governance and SDLC best practices, mentor teams, and collaborate cross-functionally to operationalize GenAI capabilities.

Lead product strategy and delivery for enterprise search and LLM initiatives. Define roadmap, design scalable secure solutions (RAG, SFT, RLHF, Agents, ElasticSearch), partner with cross-functional teams, track KPIs, and mentor the product team to drive adoption and compliant launches in regulated environments.

Lead end-to-end AI model development and deployment, design and operationalize multi-agent systems with HITL controls, implement drift monitoring and retraining, define evaluation frameworks, embed AI into workflows using cloud/data mesh/knowledge bases, integrate analytics into operations, and communicate findings to senior leadership.

Lead HR Data & AI controls governance across the HR data and analytics lifecycle. Design and embed pragmatic controls, drive risk assessments, remediation, and audit readiness for HR data products and AI/ML usage. Partner with Data Product, Engineering, legal, compliance and stakeholders to operationalize control frameworks, monitoring, and evidence capture for sensitive HR/EX data.

Lead a multi-year FP&A transformation to modernize finance with data, analytics, automation, and GenAI. Define strategy, data architecture, AI governance, and roadmap; manage delivery teams, ensure security and compliance, and drive change management, upskilling, and adoption to improve productivity, reporting quality, and decision support across Finance.

Lead the design and implementation of AI-enhanced, pixel-perfect React front-end interfaces for large-scale internal tools. Own and maintain code quality, performance, accessibility (WCAG), testing, and CI/CD practices. Collaborate with product, design, and backend teams, mentor junior engineers, and drive responsible adoption of enterprise-authorized AI-assisted development tools.

Lead and contribute to design, develop, and maintain scalable Java/Spring Boot services on AWS. Drive adoption of enterprise-authorized AI-assisted engineering practices, ensure operational stability and monitoring (Prometheus/Grafana), troubleshoot complex issues, participate in architecture and code review, automate remediation, and mentor/lead software engineers.

Lead end-to-end causal and predictive ML solutions for private banking: frame causal problems, build uplift/HTE and observational causal studies, deploy models and MLOps, apply LLMs/agentic AI, ensure model quality, collaborate with stakeholders, compliance, and firm AI community.

Design, implement, and operate production-grade agentic AI and LLM-enabled services on AWS. Build retrieval-augmented systems, APIs, and integrations; optimize performance, scalability, cost, and observability; implement evaluation, testing, guardrails, and secure development practices while collaborating across product and engineering teams.

Lead engineering on cloud-based AI/ML data platforms: design and ship secure production code, guide teams on AI-assisted development and SDLC automation, drive MLOps and DAG-based pipelines adoption, coach on responsible AI practices, and influence cross-team tooling and governance.

Lead PMO and enablement for the CAO AI Solutions portfolio: manage intake, prioritization, roadmaps, governance, documentation, reporting, and stakeholder communications to drive disciplined execution and operational rigor across AI initiatives.

Lead development and production of multi-agent AI systems that automate software delivery. Own agent capabilities end-to-end with emphasis on reliability, evaluation, observability, cost efficiency, and operational stability; build production-grade code, evaluation frameworks, and lead cross-functional teams while integrating LLM APIs and agent frameworks on cloud-native infrastructure.

Lead product strategy and roadmap for sales-focused applied AI products. Define user journeys and requirements, drive adoption, ensure compliance and data quality, partner with Data Science/Technology to deliver GenAI insights and agentic AI workflows that automate sales processes.

Own and ship production-grade multi-agent AI systems that automate software delivery pipeline stages. Design, build, and maintain reliable, observable, and cost-effective agent capabilities; implement evaluation and quality mechanisms; lead cross-functional teams; ensure operational stability, clear failure modes, and scalable production code; influence senior stakeholders.

Lead adoption of agentic AI across product teams by coaching, prototyping, and embedding new AI-enabled workflows. Redesign operating models, translate AI concepts into playbooks and learning paths, measure adoption and impact, and partner with leaders to scale responsible AI practices across product delivery in a large regulated banking environment.

Design, prototype, and productionize agentic LLM systems: frame problems, build datasets, develop models/agents, evaluate and monitor performance, and deploy robust, observable production code while partnering with cross-functional teams.

Lead development and architecture of agentic GenAI solutions for banking use cases; deliver multi-agent systems, build reusable AI services, mentor AI engineers, ensure production-grade scalability, reliability, and security, and collaborate firmwide to scale solutions.