Top Artificial Intelligence Jobs

The Digital and AI Experience Intern partners with Operations teams to identify business problems, conduct user discovery, define problem statements, and build and refine AI-assisted solutions. The role includes testing ideas, gathering feedback, tracking adoption, creating user guides, transitioning solutions to business owners, and presenting outcomes. Candidates gain experience in stakeholder engagement, experimentation, problem-solving, communication, and responsible AI use.

Design and integrate production AI/ML systems for USCYBERCOM, including LLM agents, orchestration workflows, RAG pipelines, vector databases, MCP tool integrations, model routing, evaluation pipelines, and governance guardrails. Translate research prototypes into secure, enterprise-scale mission capabilities while benchmarking models, optimizing performance, and supporting rapid operational integration.

Develop, integrate, secure, and deploy AI-enabled software solutions across cloud and on-premises environments. Translate mission needs into scalable technical architectures, conduct trade studies, harden end-to-end systems, and incorporate secure open-source tools. Lead cross-disciplinary engineering efforts, communicate technical decisions to leadership, deliver measurable mission value, and mentor engineers. The role is on-site in San Diego and requires an active Secret clearance and U.S. citizenship.

Leads customer-facing cloud architecture engagements across Azure AI, applications, infrastructure, and data workloads. Advises executives, designs secure and scalable solutions, guides implementation and operational excellence, resolves technical blockers, oversees strategic account delivery, and accelerates Azure adoption. The role also includes mentoring peers, contributing technical thought leadership, supporting proposals, maintaining cloud certifications, and helping enterprise customers adopt AI and modernize applications at scale.

Leads customer-facing cloud and AI data platform architecture on Microsoft Azure. Designs secure, scalable, resilient, and performance-optimized solutions; leads architecture sessions, proofs of concept, deployments, and modernization initiatives. Advises technical and business leaders, supports partners and sales teams, manages delivery risks, drives adoption and consumption, mentors colleagues, contributes to reusable frameworks and intellectual property, and influences product roadmaps through customer insights.

Leads software development and coaches engineers while driving adoption of AI-assisted coding, agentic workflows, prompt and context engineering, and AI governance. Reviews architecture, requirements, code, testing, security, resiliency, and production changes. Establishes controls for AI-generated output in a regulated banking environment, maintains shared AI development assets, improves engineering productivity, and communicates technical progress and risks to stakeholders.

Lead the architecture and evolution of a Snowflake-based operational data platform. Design secure, governed, scalable data warehouse solutions, real-time ingestion, API integrations, AI-enabled capabilities, and natural-language querying interfaces. Define data flows, schemas, roadmaps, architectural standards, and governance while collaborating with engineering, data, business, and executive stakeholders. Troubleshoot complex platform issues, guide technical direction, and promote modern data engineering practices across enterprise systems.

Leads architecture and evolution of Snowflake-based operational data platforms, including real-time ingestion, AI-enabled capabilities, API integrations, data modeling, governance, and secure enterprise data flows. Partners with engineering, data, and business stakeholders to define roadmaps, standards, and technical direction while troubleshooting complex systems and communicating architecture decisions to technical and executive audiences.

Build and operate Orpex’s agentic infrastructure, including production LLM agents, orchestration, memory, retrieval, human approval workflows, and evaluation systems. Own the full development loop from implementation and measurement through failure analysis, reliability improvements, and learning. The role ships to production immediately and may also involve infrastructure work, customer calls, and hiring.

The Director Analyst role involves creating research and engaging clients on Data Quality, providing actionable insights, and mentoring junior team members. They analyze market trends and support clients in improving data quality initiatives.

Own product discovery, strategy, specifications, metrics, and delivery for Roger’s AI platform. Partner closely with clinicians, agency leaders, engineering, sales, customer success, and operations to identify workflow problems, ship impactful solutions, and measure adoption. This early product hire will shape product direction and practices while improving healthcare documentation workflows for clinicians.

Own the architecture and technical direction of Square’s go-to-market systems. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex technical initiatives, establish reliable and secure AI evaluation practices, make build-versus-buy decisions, and partner with Sales, Product, Data, and Engineering. Remain hands-on across design, implementation, testing, deployment, and operations while mentoring engineers and influencing senior stakeholders.

Own the architecture and technical strategy for Square’s go-to-market technology stack. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex technical initiatives, establish AI reliability and security guardrails, define evaluation metrics, and guide build-versus-buy decisions. Partner with Sales, Product, Data, and Engineering leaders while mentoring engineers and remaining hands-on across design, implementation, testing, deployment, and operations.

Leads executive discovery, consulting opportunity strategy, solution architecture, proposals, SOWs, commercialization, and delivery mobilization for enterprise data, analytics, AI, and GenAI engagements. Advises clients on modern data platforms, cloud modernization, governance, security, ML, and responsible AI. Requires strong presales, delivery leadership, workshop facilitation, architecture, estimation, and commercial skills across Snowflake, Databricks, Microsoft Fabric, AWS, Azure, and Google Cloud.

Designs and implements architecture for AI agents within the Bluefield framework. The role develops technical blueprints, optimizes Google Agent Space and Google Cloud services, creates reusable agentic components, integrates agents with enterprise systems and APIs, leads prototypes, troubleshoots complex issues, documents architectures, conducts technical reviews, mentors Generative AI Engineers, and presents technical work internally and externally.

Participate in full-stack development and maintenance of Binance’s KYC system, including backend services, frontend features, documentation, testing, regression, troubleshooting, and customer issue resolution. The role is a 3–6 month accelerator internship for current university students and recent graduates, with an emphasis on Java, Spring Boot, databases, middleware, and frontend technologies.

Build and deploy AI systems for life sciences research institutions. Partner with scientific and engineering teams to integrate Claude into research workflows, develop MCP servers, benchmarks, agent skills, and domain-specific infrastructure, and identify deployment challenges involving heterogeneous data and auditability. Create documentation and technical content that enables partners to self-serve and scale successful solutions across the life sciences ecosystem.

Owns post-certification customer success for AIUC-1, helping customers use certification to accelerate enterprise sales, generate ROI stories, secure marketing placements, and drive renewals and upsells. Builds executive relationships, manages announcements and customer activations, supports sales calls and security reviews, develops enablement materials, and creates repeatable success processes. The role also channels customer feedback to Product and requires commercial ownership, cross-functional execution, and team leadership.

Own the technical direction and implementation of authentication, authorization, and on-behalf-of delegation for Redpanda’s agentic AI platform. Extend its OAuth authorization server and token vault, build auditable delegation systems, and federate with enterprise identity providers such as Okta, Entra, and Ping. Lead technical decisions across multiple engineering teams, track emerging agent identity standards, collaborate with security and product teams, mentor engineers, represent technical positions externally, and deliver production-hardened systems.

Own the architecture and implementation of Applied AI backend systems, including APIs, data models, distributed pipelines, orchestration, infrastructure, and production reliability. Lead technical direction, build high-throughput services, manage containerized infrastructure with Terraform, participate in on-call, resolve incidents, mentor senior engineers, and collaborate across product, operations, and research teams. The role requires strong backend, database, distributed systems, and production operations expertise, plus enthusiasm for agentic AI development.

Build and operate backend services for Mercor’s Applied AI platform, including APIs, data models, background jobs, and high-throughput pipelines. Own features from design through production, with responsibility for reliability, observability, performance, infrastructure, containerized environments, and incident response. Collaborate with product, operations, and research teams to turn ambiguous requirements into production systems.

Lead development of AI-powered employee experiences on a web surface. Define product specifications, success metrics, roadmaps, and strategic bets; partner with ML, engineering, UX, data science, marketing, and customer teams; translate user feedback and ambiguous problems into scalable enterprise capabilities; and guide rollout strategies and feedback loops for products serving large user bases.

Lead end-to-end ownership of CMC data products and AI/ML solutions, including data governance, architecture, pipelines, semantic models, AI interfaces, validation frameworks, and production scaling. Partner with data engineering, analytics, IT, and senior stakeholders to move AI capabilities from MVP to enterprise use, ensure regulatory and privacy compliance, define technical standards, and drive adoption through compelling business communication.

Develop and prepare multi-dimensional semiconductor layouts from schematics, lead major block developments, verify data integrity, debug physical verification issues, mentor juniors, improve automation and layout methodologies, and coordinate with global design, verification, and CAD teams.

Lead strategy and roadmap for Lowe's Media Network adtech systems and platforms. Translate business requirements into scalable technical specifications, oversee integrations (CRM, OMS, DSPs), drive automation/AI adoption, ensure data quality and reporting, liaise with Product/Engineering/Marketing, and manage a small cross-functional team to enable seamless campaign execution and growth.