Senior AI Agent Engineer Jobs

Within the Chief Data & Analytics Office (CDAO), you will accelerate the firm’s data and analytics journey by supporting high-quality, secure, and well-governed data. You will help harness artificial intelligence to improve productivity, enhance risk management, and enable new capabilities responsibly. This role sits at the intersection of strategy, product delivery, and partnership across business, technology, and control teams. As a Product Solutions Director, you are an expert in a cluster of products and the sales cycle. You will leverage your advanced capabilities to craft complex solutions, partner with Sales to identify and capture market opportunities, and create new ways for teams to continuously deliver value to customers. You will drive the development of strategy and roadmaps for data governance initiatives, including next-generation data governance tooling and AI-for-data capabilities.

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Anthropic

Our team studies how large teams of agents scale to solve complex problems that a single agent cannot, such as rewriting major codebases or formalizing mathematics. We investigate the impact of increasing agent numbers, compute budget, and task length on performance, cost, and coordination. This role bridges research and engineering, involving designing and running large experiments, building the necessary systems, and analyzing surprising results. We aim to move quickly from vague questions to running experiments, developing the platform and evaluations Anthropic uses to measure and manage large agent teams.

$500k - $850k

Trust Wallet

Trust Wallet is seeking a Lead AI Engineer to take ownership of the backend and Agent systems for their LLM-powered products. This end-to-end role involves building Agent workflows, defining quality metrics, ensuring production reliability, and influencing future product direction. The ideal candidate has a proven track record of shipping LLM features to real users, maintaining them post-launch, and demonstrating measurable improvements through data.

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Assume a vital position as a key member of a high-performing team that delivers infrastructure and performance excellence. Your role will be instrumental in shaping the future at one of the world's largest and most influential companies. As a Lead Infrastructure Engineer - GenAI/AI Automation/AWS at JPMorganChase within the Consumer and Community Banking team, you apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Continue to evolve your technical and cross-functional knowledge outside of your aligned domain of expertise.

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As a Senior Lead Software Engineer on the AI/ML Data Platforms team, you will be a key member of an agile team responsible for enhancing, building, and delivering trusted, market-leading technology products. You will drive meaningful business impact through hands-on engineering leadership, applying deep technical expertise to address complex challenges. This role involves designing and delivering agentic AI platforms and LLM-enabled services for enterprise use cases, contributing to architecture and engineering decisions, building cloud-native services on AWS, and improving system quality through strong evaluation, observability, and operational excellence practices. You will also raise engineering standards through high-quality code reviews, clear documentation, and effective collaboration.

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Brex

Brex is seeking an AI Engineer to join their Finance Agents team and build the Agent Workbench. This role involves creating a conversational surface where finance professionals can interact with AI agents through various documents and tools to understand financial activity, investigate findings, and steer agent actions. The initial focus will be on evolving the workbench into an extensible platform supporting multiple agent experiences, owning the extension model, integration protocols, and application architecture. You will collaborate with cross-functional teams to build across application layers, establish an agentic design system, and iterate with customers on features like policy editing, reporting, and data exploration.

$216k - $240k

Artefact, a global consulting firm specializing in data, analytics, and AI, is seeking a Director, AI & Agentic Engineering to lead a team in designing and delivering production-grade AI solutions. This role involves driving the architecture and implementation of everything from classical machine learning models to advanced LLM-powered applications and their supporting pipelines. You will provide senior technical judgment, collaborate closely with clients and business stakeholders, and play a key role in pre-sales activities, including shaping proposals and solution designs. The position requires embedding context engineering, agent harnesses, and fine-tuning practices into all solutions, while reporting on strategy and priorities to senior AI/technology leadership.

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Moveworks is seeking an Agentic AI Harness Architect to define the technical vision for our agentic AI harness. This role involves planning, selecting tools, managing context, and implementing memory, critique, reflection, adaptation, and recovery mechanisms for AI agents. You will invent and prototype algorithms to enable agents to complete complex tasks with minimal supervision and high reliability. The position requires designing model-agnostic abstractions to integrate foundation models, specialized agents, enterprise tools, and workflows, while developing approaches for agent memory and learning that prioritize enterprise security and privacy. You will also create rigorous benchmarks and evaluation methods for agent performance and explore advanced methods like iterative planning, self-critique, and multi-agent coordination. The role includes building prototypes, identifying promising ideas, and collaborating with platform and product teams to bring them to production, while remaining hands-on with code and experiments.

$201k - $352k

Elastic

Elastic is seeking a Principal, Agentic Engineering Platform to lead the development and refinement of agentic systems that automate complex, multi-step delivery workflows for their global services organization. This role involves setting technical standards, guiding product strategy, and managing the entire lifecycle of building, testing, deploying, monitoring, and iterating on these systems. A key initial focus will be on DIMA, Elastic's migration automation platform for SIEM and observability projects. Experience in security, SIEM, or observability will be highly valuable.

$160k - $304k

Elastic

Elastic is seeking a Senior Software Engineer to join their Integrations Team. This role is crucial for building how Elastic integrates with the AI ecosystem, making it easy for developers to find, connect to, and use Elastic within AI assistants and agentic tools. The team owns developer-facing surfaces like language clients, CLI, MCP server, and third-party integrations, ensuring Elastic is accessible wherever developers work. The ideal candidate will thrive in a fast-paced, ambiguous environment, contribute to product direction, and collaborate closely with product teams and external partners.

PLN 308k - PLN 487k

Artefact is seeking a Senior AI & Agentic Engineer to join their team in Montréal. This role focuses on taking AI features from concept to production, involving the design and development of interfaces, services, and agentic systems for client projects. You will be responsible for building conversational applications, automating business workflows with multi-step agents, and managing the associated retrieval and data pipelines. The position requires end-to-end ownership of components, including front-end development, backend services, RAG pipelines, and evaluation processes, with a strong emphasis on production-grade AI systems.

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Harvey is transforming legal and professional services by integrating advanced agentic AI with an enterprise-grade platform. This role is a founding position on the Security Engineering team, focused on building the foundational security for AI agents. You will lead the development of a platform that enables agents to perform security work, including vulnerability discovery and validation through authorized penetration testing, while ensuring data and system protection. The work involves shaping how agents are sandboxed across product and internal platforms, building execution environments, orchestration, and controls, and enabling the secure internal use of open-source models.

$231k - $346k

General Motors is seeking a Staff Individual Contributor to design and build the next generation of customer-facing AI systems. This role involves leading the architecture and hands-on implementation of reusable modules for conversational AI, agent orchestration, grounding, memory, tool integration, and policy enforcement. The successful candidate will establish durable technical patterns across cloud services and customer experiences, contributing production code in Python, Go, and/or Java. This is a senior technical leadership position focused on influencing architecture, mentoring, raising engineering standards, and driving execution through design and implementation.

$189k - $333k

Parloa

As a Staff Product Engineer at Parloa, you will work directly within our most strategic enterprise customers to build the software that powers their AI agents in production. You will be responsible for extending Parloa's platform, AMP, by developing custom integrations and capabilities that meet specific customer needs, especially in complex scenarios where off-the-shelf solutions are insufficient. This role involves both long-term engagements, where you'll deepen integrations and grow use cases within an account, and short-term experiments to test new ideas. You will act as the technical lead, owning the architecture and build, and ensuring production quality, security, and adherence to data handling standards. You will also mentor other engineers, contribute to hiring, and set the standard for AI-assisted work validation.

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Retool

Retool is building the platform that makes custom software, especially AI-powered applications, safe to ship. As AI empowers more people to build software, the risk of shipping ungoverned applications grows. Retool provides a platform that connects to business data, enforces enterprise policies, and allows teams to create and reuse components safely. This role focuses on building the agent platform behind Retool's AI products, owning model-driven behavior in production, and ensuring the reliability, affordability, and scalability of agentic products used by engineering teams.

$164k - $306k

Limrun is seeking an engineer to build and scale its platform, which runs development tools and applications as cloud services that AI agents can use. The role involves deciding on product direction, owning projects from design to maintenance, and participating in an on-call rotation to investigate and resolve production incidents. This is an opportunity to work directly with the founder, shape the engineering team's practices, and explore the application of AI in solving infrastructure challenges.

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Datadog

Code Intelligence is at the intersection of agentic engineering and product, running agents against real customer source code in production. This role offers the opportunity to lead an AI-native team in a business-critical growth area, providing high visibility and leverage within the fastest-growing segment of the AI agent space. Datadog operates as a hybrid workplace, valuing office culture for collaboration and creativity while ensuring employees can achieve work-life harmony.

$192k - $240k

Capital One is seeking passionate Full Stack Software Engineers to join their Agentic Technology team. You will be instrumental in building and pioneering AI features and products, solving complex business problems in a fast-paced, collaborative environment. This role offers the opportunity to be at the forefront of driving significant transformations within the company by leveraging emerging technologies and data.

$179k - $205k

Salesforce is seeking a highly accomplished technologist to join their Forward Deployed Engineering Team as an Expert Agent Builder. This role is at the pinnacle of AI technical expertise, focusing on architecting, designing, and building complex agentic systems to solve challenging customer problems. The successful candidate will translate ambiguous customer needs into concrete, executable AI solutions, driving transformative AI solutions by tackling the technical frontier of intelligent automation. This involves building first-of-their-kind, best-in-class experiences for major brands, including headless agent automations, dynamic AI-driven custom user interfaces, and complex multi-agent solutions. The role demands unparalleled software development mastery, deep software architecture skills, and a relentless focus on implementing engineering best practices to deliver maximum tangible value in dynamic, real-world enterprise environments.

$158k - $288k

Salesforce is seeking a Senior AI Engineer to join the Agentforce Operations team, a high-velocity 'startup-within-Salesforce' focused on revolutionizing the public sector supply chain with an AI-powered platform. This role offers the unique opportunity to build a '0 to 1' product in a rapidly growing vertical, working alongside a founding team with deep startup roots but backed by the global scale of Salesforce. You will be instrumental in shaping both the product and the engineering team, partnering with product leaders and sector experts to deliver trusted AI systems for mission-critical public-sector workflows. The role involves building AI features tailored to public-sector customers, designing systems with security, compliance, reliability, and operational constraints at their core, and operating with wide autonomy to raise the bar for technical quality and mentorship.

$149k - $224k

NVIDIA is seeking a Senior Software Engineer to build agentic workflows for their network architecture group. This role involves designing and implementing multi-step agent workflows that operate on a hardware network simulation environment. You will engineer the context that grounds these agents in specifications and source code, and optimize their runtime performance. The goal is to build practical infrastructure that brings intelligent agents to life, supporting architects in their daily work.

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Capital One is seeking a Senior Staff AI Engineer to join their Agentic AI Platform team. This role is central to bringing the company's vision for AI to life, working hand-in-hand with partners to advance AI science and engineering. You will build and deploy proprietary solutions that are critical to the business and deliver value to millions of customers. The team's AI models and platforms empower associates across Capital One to enhance products with AI in responsible and scalable ways, driving high-leverage impact. You will help bring the transformative power of emerging AI capabilities to reimagine how Capital One serves its customers and businesses.

$286k - $327k

As a Senior Lead Software Engineer within the Consumer and Community Banking - Digital Technology team, you will be a key member of an agile team focused on enhancing, building, and delivering secure, stable, and scalable technology products. You will leverage your deep technical expertise and problem-solving skills to address a wide range of challenges across multiple technologies and applications, driving significant business impact. This role involves architecting and governing AI-enabled engineering workflows to boost delivery speed, code quality, and operational outcomes, while also influencing leaders and defining enterprise-scale AI-enabled architecture for next-generation customer experiences.

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Databricks

<h1>Staff Software Engineer - Agent Quality</h1> <h4>P-1567</h4> <p>At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions.</p> <p>The Databricks AI Research organization is pushing the frontier of next-generation enterprise AI. We believe a company's data is its greatest competitive advantage, and we're building the models and agents that unlock it. Our work spans the full stack, from model training to advanced multi-agent systems.&nbsp;</p> <p>As a Staff Software Engineer - Agent Quality, you will be a founding member of a new team focused on evaluating and continuously improving Databricks' AI Agents. You will design and scale the infrastructure, tooling, and developer workflows that let researchers and engineers evaluate agents rigorously — driving a flywheel where evaluation results feed directly back into agent improvement across the full lifecycle, from development and training to production.</p> <h2>The impact you will have</h2> <ul> <li>Stand up the foundational evaluation infrastructure for Genie Agents, enabling rigorous benchmarking, regression detection, and quality measurement across research and product teams.</li> <li>Build the flywheel that connects evaluation results back into agent improvement — closing the loop between production signals, training, and iterative development.</li> <li>Shape the long-term technical direction for agent quality infrastructure, with real influence over how Databricks measures and improves its first-party agents and agent development platform.</li> <li>Help shape the long-term technical direction for agent quality infrastructure as Databricks expands its first-party agents and agent development platform.</li> </ul> <h2>What we look for</h2> <ul> <li>6+ years industry experience building software systems</li> <li>Strong Python programming skills, with experience building production or research infrastructure</li> <li>Experience building or operating distributed systems, data pipelines, or large-scale infrastructure with a focus on reliability, correctness, and operational maturity</li> <li>Ability to design pragmatic but rigorous systems that produce trustworthy, reproducible signals for complex applications</li> <li>Comfort working across ambiguous research and product boundaries, and partnering with both researchers and engineers to turn ideas into robust internal platforms</li> <li>A high bar for technical quality, strong ownership, and the ability to influence roadmap and execution across multiple teams</li> </ul> <h2>Nice to have</h2> <ul> <li>Experience with devtools, CI/CD platforms, testing frameworks, observability tooling, or benchmarking infrastructure</li> <li>Familiarity with how LLM or agent quality is measured — whether through evals, experimentation platforms, or production monitoring</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>&nbsp;</p> <p><strong>Pay Range Transparency</strong></p> <p><span style="font-weight: 400; font-size: 14px;">Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.&nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page <a href="https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf">here</a>.<br></span></p> <p>&nbsp;</p></div><div class="title">Local Pay Range</div><div class="pay-range"><span>$200,000</span><span class="divider">&mdash;</span><span>$265,000 USD</span></div></div></div><div class="content-conclusion"><p><strong>About Databricks</strong></p> <p><span style="font-family: arial, sans-serif;">Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on <a href="https://www.linkedin.com/company/databricks">LinkedIn</a>, <a href="https://x.com/databricks">X</a>, <a href="https://www.youtube.com/@Databricks">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en">Instagram</a>.<br><br><strong>Benefits<br><br></strong></span>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing">here</a>.<br><br></p> <p><strong>Our Commitment to Diversity and Inclusion</strong></p> <p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p> <p><strong>Compliance</strong></p> <p><strong><span style="font-weight: 400;">If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</span></strong></p></div>

$200k - $265k