Plaid currently has 14 active AI-related job listings. The majority of these roles, 43%, are focused on agents, with serving infrastructure also representing a significant portion at 21%. Engineering is the most frequent function, with all 14 roles located in the United States. Frequent tech tags include model_serving, inference_infra, and agent_orchestration, suggesting a focus on deploying and managing AI models.
Currently tracking 10 active AI roles, down 27% versus the prior 4 weeks. Primary focus: Agent · Engineering.
Plaid currently has 16 active AI-related roles in our index. The most common open titles are: AI Marketing Technologist Lead, Analytics Engineer, Engineering Manager - Security, Engineering Manager, AI Applications, Fraud Researcher. Most positions are in Engineering and Research.
Plaid's active AI hiring is concentrated in: agents (44%), application (19%), pre-training (19%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Plaid is hiring AI talent in: United States (16 roles).
Job postings at Plaid most frequently reference: model serving, fine tuning, llm observability, agent orchestration, inference infra.
In the past 30 days, Plaid has posted 7 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Staff Machine Learning Engineer (Research Scientist) - DFAI Staff Machine Learning Engineer (Research Scientist) at Plaid, focusing on the Data Foundation & AI team. The role involves leading technical strategy and development of foundation models, covering the full ML lifecycle from pretraining to production serving, evaluation, and monitoring. The position requires expertise in Transformers/LLMs, large-scale training, and distributed training, with a focus on shipping models that power product applications and mentoring other engineers. | PretrainServe | 9 |
| Engineering Manager, AI Applications Engineering Manager to lead a newly formed team focused on scaling Plaid's AI-powered customer experience and integrating Plaid into AI applications. The role involves managing a team, defining strategy, and driving execution on projects related to AI customer support agents, agentic commerce, and AI provider integrations. | AgentPost-train | 8 |
| Staff Software Engineer - Instant Access Staff Software Engineer on the Instant Access team, building applied AI systems based on LLMs that operate autonomously in production. The role focuses on creating, repairing, and improving financial institution integrations, with responsibilities including defining technical direction for autonomous AI systems, building LLM-powered code generation pipelines, designing evaluation frameworks for non-deterministic systems, and architecting self-healing and multi-layer safety architectures. | AgentEval Gate | 8 |
| Senior Software Engineer - AI Applications Plaid is building a new AI Applications team to scale their GenAI-powered products and features, focusing on integrating AI into financial services for customer experience, identity verification, and fraud prevention. The role involves full-stack development, architecting GenAI solutions, and rapid experimentation. | Agent | 8 |
| Staff Software Engineer - AI Applications Staff Software Engineer role focused on building and scaling AI applications within Plaid's FinTech ecosystem. The role involves developing integration patterns for AI providers, enhancing conversational AI interfaces, architecting trust layers for agentic commerce, and extending AI-powered customer experience agents. This includes working with multi-turn, multi-agent systems, RLHF, and customer-specific memory, as well as expanding agents to support product recommendation, onboarding, and upselling. | AgentShip | 8 |
| Machine Learning Engineer - Embedded Insights Machine Learning Engineer focused on building and deploying AI/ML models into customer-facing financial products, driving initiatives from concept to production, and ensuring model performance and scalability. | ShipAgent | 7 |
| Senior Machine Learning Engineer - Credit Senior Machine Learning Engineer at Plaid focused on credit products. The role involves designing, building, and deploying scalable ML solutions and systems, experimenting with new modeling techniques, and owning the full model lifecycle from training to serving and monitoring. Collaboration with cross-functional teams to define the ML roadmap is also a key aspect. | ServePost-train | 7 |
| Senior Machine Learning Engineer - Embedded Insights Senior Machine Learning Engineer focused on building and deploying ML models into Plaid's financial products, working across the full ML lifecycle from experimentation to production scaling and monitoring. The role involves analyzing financial datasets, developing proof-of-concept solutions, and collaborating with product and engineering teams to integrate models and ensure their long-term performance and reliability. | ShipData | 7 |
| Experienced Engineering Manager, Network Enablement and Access (NEA) Engineering Manager for Plaid's Network Enablement and Access (NEA) organization, focusing on leading a large engineering team (50+ engineers, 6 managers) through an AI transformation. The role involves setting engineering strategy, managing managers, owning technical direction for platforms including ML/data pipelines, and driving hiring. A key aspect is applying AI to engineering workflows and operational processes, with a push towards agentic systems for autonomous issue resolution. Experience leading AI transformations in engineering orgs and shipping data/insights products are nice-to-haves. | AgentData | 7 |
| Senior Software Engineer - ML Infrastructure Plaid is seeking a Senior Software Engineer to build and operate the ML infrastructure that powers their AI-first strategy. This role focuses on designing and implementing scalable, reliable, and secure ML platforms, including feature stores, pipelines, deployment tooling, and inference systems, to accelerate the delivery of AI-powered financial products. | ServeData | 7 |
| Data Scientist - Network Value Data Scientist role at Plaid focused on expanding access, authorization, and usability of user financial footprints within a fintech consumer network. The role involves performing analyses, designing data models, building ML prototypes, defining OKRs, and analyzing experiments to drive product and business outcomes. Requires strong SQL, Python, and experience with data pipelines and ML prototyping. | Post-train | 7 |
| Senior Data Scientist - Data Foundations & AI Senior Data Scientist focused on building and operationalizing quality measurement and evaluation frameworks for AI/ML systems within Plaid's Data Foundation & AI team. The role involves defining metrics, investigating quality issues, automating workflows, and influencing roadmap decisions to ensure reliable and high-impact AI outcomes for customers. | Eval Gate | 7 |