Enterprise Application Ai Engineer Jobs

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The CX Intelligence Engineering team, part of Coinbase's Enterprise Applications and Architecture org, builds the multi-agent platform powering Coinbase Chat, Help Center, and agent tooling. As a Machine Learning Engineer on this team, you'll design and scale the agentic systems that automate complex customer support workflows, connecting LLMs with internal APIs and tools to deliver fast, accurate, and compliant AI-powered experiences for millions of customers. What you'll do: Architect multi-agent systems using advanced orchestration frameworks (LangGraph, Google ADK) to automate complex customer support procedures end-to-end. Build and scale integrations using Model Context Protocol (MCP) to connect LLMs with internal Coinbase APIs, databases, and third-party tooling. Develop automated "LLM-as-a-judge" evaluation pipelines to monitor, measure, and improve the performance of non-deterministic AI agents in production. Implement RAG, fine-tuning, and prompt engineering techniques to ensure chatbot responses are grounded, accurate, and compliant with Coinbase policies. Ship production-ready Python services that are resilient, low-latency, and capable of handling Coinbase-scale traffic across asynchronous microservices. Partner with Conversation Design and Product to translate complex business logic into executable agent procedures within the decentralized architecture.

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The CX Intelligence team is part of Coinbase’s Enterprise Applications and Architecture org and builds the customer-facing and internal CX experiences that connect the Help Center, chatbots (CBCB), and agent workflows. The team owns the multi-agent platform that powers Coinbase chat, Help Center, and agent tooling, partnering closely with Conversation Design, CX, and engineering teams to deliver secure, compliant, and scalable AI-powered support. Our work helps customers get answers faster while enabling agents to resolve cases more effectively. We are hiring an IC4 Machine Learning Engineer to help evolve our conversational ecosystem by building a seamless hybrid vendor-internal chatbot experience. You will contribute to the design and implementation of a unified orchestration layer that coordinates interactions between vendor AI, internal multi-agent systems, and human participants. This role is ideal for someone who enjoys solving complex ML systems problems, building reliable handoff logic across LLM frameworks, and shipping AI-enabled products that are measurable and scalable. What you'll do: Build and improve the orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment. Develop production-grade Python services that bridge advanced AI and ML capab

P-1403 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Ingesting data into the Lakehouse is a strategic area of investment for Databricks and a key enabler for Data and AI workflows. Lakeflow Connect is looking to solve this problem by providing ready-to-use, point-and-click connectors for a wide variety of sources, including enterprise applications (like Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage, message queues, and local files. In addition to being an important part of Lakeflow and Data Engineering, Connect is also a key platform capability. Every surface in Databricks (Dashboards, Notebooks, SQL, AI) requires ingestion capabilities and the lead for this role will need to work closely with other products to embed Connect into these surfaces. We are looking for engineers with experience in core Database internals to join our Lakeflow Connect team. A key part of Connect is to extract data from OLTP systems while imposing minimal load on production systems. To do this efficiently we are building systems that use techniques such as incremental data capture, log parsing, etc. We are looking for engineers who continue to be hands on and are looking to make a large impact on an important problem for the company. The Impact you will have: Solve real business needs at large scale by applying your software engineering. Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers Low level systems debugging, performance measurement & optimization on large production clusters. Build architecture design, influence product roadmap, and ta

About Eudia: Eudia is redefining the future of legal work with AI-powered Augmented Intelligence, enabling Fortune 500 legal teams to move faster, manage risk more effectively, and unlock new business value. Backed by $105M in Series A funding led by General Catalyst, we’re building a category-defining platform that blends AI-driven automation with human expertise, transforming legal from a cost center into a strategic growth driver. At Eudia, we move fast. Unlike traditional enterprise software, our teams ship solutions in days, not months—delivering real impact for some of the world’s largest companies, including Cargill, Coherent, DHL, and Duracell. We’re solving one of the most complex, unsolved challenges in AI: bringing trust, accuracy, and security to legal automation. We’re a team of builders, operators, and problem-solvers who are passionate about reshaping an industry that has long been resistant to change. If you’re looking for a place where you’ll be challenged, take ownership from day one, and work alongside some of the brightest minds in AI and legal —we’d love to meet you. About the Role: Are you interested in building a high-performance Agentic AI driven legal workflow system that supports our current and future scale of platforms? If so, we are looking for you to join our growing team in India. This person will work from our Bangalore office and actively collaborate with the Palo Alto team. We are looking for a Lead Software Engineer that will help develop the most secure, enterprise-grade software using and innovating the latest in Generative AI. The opportunity to tackle challenges in creating cloud-agnostic solutions, maintaining stringent security and compliance standards, and building scalable, resilient platforms for enterprise applications, data, AI, and search also exist while you will be able to routinely innovate on behalf of our customers, collaborating with the world's top

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role We are actively looking for an experienced front-end engineer to join our core engineering group, with a specific focus on our Design Systems and UI architecture. As a crucial driver of our user interface, you will build, scale, and maintain the foundational component library that powers our enterprise applications. You will act as the vital bridge between Design and Engineering, partnering closely with 8+ product teams to deliver a cohesive, accessible, and beautiful web experience that supports a suite of connected devices at scale. In this role, you will go beyond building individual features; you will help evolve the UI architecture and design tokens that ensure consistency and accelerate development. While your primary focus will be on the Platform UI and Design System, you will operate within a highly collaborative platf

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . We’re looking for a Senior Systems Analyst, Enterprise Apps (Finance) to join our Enterprise Applications and Architecture team. The mission of our team is to drive automation through an integrated suite of enterprise systems and technologies, streamlining the business operations and freeing up our finance team’s time to focus on high-judgment tasks. In this role, you will serve as our financial systems subject matter expert primarily supporting Zip, Netsuite and other financial technologies. You will partner with our product managers and sourcing, legal, accounting, security team members to translate business requirements into technical solutions that can scale and support the growth of the company. You will join a small, agile and a tight-knit engineering team that is focussed on delivering value. We are seeking individuals who love problem solving and thrive in a continuous-learning and high level-of-ownership environment. What you’ll be doing (ie. job duties): To be completed by all business teams except Eng. Partner with Product Managers and finance stakeholders to implement the product roadmap for Zip, Navan, NetSuite and other financial applications. Analyze current business processes, perform fit/gap analysis and translate the business requirements into technical solutions. Demonstrate knowledge of Zip’s capabilities for key processes: Source to P

Software Engineer - III About the Role GHX is building a next-generation Intelligent Process Automation (IPA) platform powered by LLMs and AI-native document understanding. We extract structured data from complex healthcare procurement documents — Purchase Orders, invoices, contracts — at scale across cloud environments. As a member of the IPA engineering team, you will bridge strong software engineering with applied AI. You will design and ship Python services, integrate LLM APIs, build AI agents, create skills and validate the output of LLMs to build document extraction pipelines, and own evaluation infrastructure that ensures production quality. This is not a research role — it is a hands-on engineering role where AI fluency amplifies solid software craft. Core Responsibilities Python Development & Automation Build and maintain Python-based automation services and IPA workflows Develop platform-agnostic solutions supporting future migration across automation tooling Build reusable libraries, frameworks, and components for automation projects Integrate automation solutions with REST APIs and enterprise applications Deploy and monitor automation bots on AWS (Lambda, ECS, SQS, S3) AI & LLM Integration Integrate LLM APIs (like Anthropic Claude, OpenAI, Azure AI) into production pipelines Design classification and extraction prompts for diverse document types (POs, invoices, contracts) Write prompts that function as formal specifications — unambiguous, edge-case-aware Build and iterate few-shot, chain-of-thought, and structured output templates Own prompt library versioning, rollback strategy, and prompt lifecycle management AI & LLM Integration Integrate LLM APIs (like Anthropic Claude, OpenAI, Azure AI) into production pipelines Design classification and extraction prompts f

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Lead the Future of AI-Powered Manufacturing at Micron Micron is accelerating its transformation toward Autonomous Operations through Artificial Intelligence, advanced analytics, digital twins, robotics, and intelligent automation. As a Staff/Principal Full-Stack AI Engineer , you will be a technical leader driving the strategy, architecture, and delivery of next-generation AI products that power smarter manufacturing across Micron's global network of fabs and assembly/test sites. In this highly influential role, you will own AI solutions end-to-end—from data engineering, machine learning, and agentic AI systems to modern full-stack applications, digital twin platforms, robotics integration, and edge-to-cloud deployment. Working closely with data scientists, software engineers, robotics teams, and manufacturing leaders, you will transform innovative ideas into scalable, production-grade solutions that improve efficiency, increase automation, and enable intelligent decision-making at enterprise scale. This is a unique opportunity to shape the future of AI in semiconductor manufacturing and directly contribute to Micron's vision of autonomous, data-driven opera

Lead AI Architect/Strategist Location: United States - Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a Lead AI Architect / Strategist to define and lead the architecture, strategy, and implementation of next-generation AI solutions. This role will drive enterprise AI transformation and adoption by enabling modernization workstreams that are focused on scalable AI platforms. This position will align stakeholders and delivery teams by designing Generative AI powered capabilities, guiding solutions that leverage Large Language Models (LLMs), defining Retrieval-Augmented Generation (RAG) pipelines, producing Agentic AI offerings and architecture, and delivering capabilities for advanced analytics and related solutions. The ideal candidate is a strategic technology leader with deep expertise in AI architecture and its role in Enterprise Architecture. This leader is an expert in cloud platforms, enterprise systems, and data transformation who can bridge business objectives with innovative technical solutions. This individual will also work across engineering, data, product, cybersecurity, and leadership teams to establish AI roadmaps, architecture standards, and secure AI solutions that deliver measurable mission and business value. What You’ll Do Implement and manage the architecture definition and realization activity using formal delivery and lifecycle methods. Collaborate closely with stakeholders to develop a deep and thorough understanding of the client enterprise and establish guidance and governance for AI build and delivery cycles. Define and execute AI architecture strategies, technical roadmaps, and modernization approaches aligned with organizational goals. Design scalable AI platforms and solutions leveraging Generative AI, LLMs, RAG, AI agents, machine learning, and automation capabilities. Architect intelligent AI systems that integrate models, data platforms, enterprise applications, and APIs. Develop architectu

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Drive the future of autonomous enterprise cloud experiences as the strategic leader for next-generation digital experiences, intelligent automation, and AI-powered infrastructure services on the Everpure1 platform. In this role, you will define the vision and execute the strategy for Copilot, Agentic AI, and workflow orchestration, transforming how businesses consume and manage data infrastructure. Collaborating closely with customers, partners, the CTO office, and engineering, you will turn complex cloud-consumption challenges into seamless, high-growth SaaS subscription outcomes. WHAT YOU'LL DO Own the AI & Automation Roadmap: Define and drive the end-to-end product strategy for Copilot, Agentic AI, and intelligent workflow orchestration to deliver industry-leading digital experiences that increase Everpure platform (Pure1 - Intelligent control plane) Expand the SaaS Subscription Business: Design and launch features across cloud, virtualization, and enterprise environments through Pure1, enabling customers to monitor, manage, automate, and optimize data infrastructure while accelerating subscription revenue growth. Architect Seamless Integrations: Lead the integration of enterprise applications, databases, and APIs with storage automation solutions to streamline operations and create frictionless user experiences for customers and partners. Champion the Go-To-Market Strategy: Partner with cross-functional le

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. An AI Full Stack Engineer builds modern applications using AI as a first class capability—both as part of the development workflow but also designing, architecting, and delivering AI capabilities across the Micron enterprise. This role goes beyond simply using AI coding assistants. You will have strong understanding of Prompt Engineering, Vibe Coding, Rework Rate Reduction and leverage Custom Agents, and integrations built around the Model Context Protocol (MCP). You will apply strong software engineering fundamentals to assemble, integrate, and operationalize AI capabilities into real production systems being accountable for Full-Stack solutions. The goal of this role is to significantly shorten development and feedback cycles—by automating routine engineering work, augmenting human decision-making, and embedding intelligence directly into our development workflows and the applications we deliver. Core Full Stack Engineering: Contribute to platform enablement, architecture decisions, code reviews, and shared engineering standards Design, build, test, deploy, and operate full stack software solutions Own features end‑to‑end: system design, platform implementation, testing, observability, and lifecycle support Collaborate with business teams to translate requirements into scalable solutions AI ‑ centric full stack development Design and implement Custom AI Agents to support workflows such as:

Pre-sales Manager, Inference and Agentic AI - Paytm Location: Noida Company: Paytm About Paytm: Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. Paytm is building a full stack AI platform focussed on Inference and Agents, enabling large enterprises to deploy AI driven automation across sales, service, operations, and analytics. The Inference and Agentic AI team operates as a cross functional unit spanning engineering, product, data science, business management, and sales, and owns the full lifecycle of AI solutions from opportunity discovery to deployment and scale. Pre-Sales Manager | Paytm AI Key Responsibilities 🔹 Partner with Enterprise Sales teams to understand client requirements and map them to Paytm AI solutions. 🔹 Conduct discovery sessions, identify business challenges, and create solution recommendations. 🔹 Deliver customized product demos, solution walkthroughs, and Proof of Concepts (POCs) for enterprise clients. 🔹 Act as a technical advisor, addressing product, integration, architecture, and implementation-related queries. 🔹 Create solution documents, proposal inputs, RFP responses, technical FAQs, and sales enablement assets. 🔹 Collaborate with Product, Engineering, Onboarding, and Business teams to ensure seamless solution delivery. 🔹 Capture client feedback and provide insights to improve product capabilities and customer experience. 🔹 Support enterprise deal closures through strong solutioning, stakeholder management, and technical consulting. Ideal Candidate ✔ 3–6 years of experience in Pre-Sales, Solution Consulting, Solutions Engineering, Product Consulting, or Enterprise Technology roles. ✔ Strong understanding of APIs, integrations, SaaS platforms, enterprise applications, and solut

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The CX Automation team within Enterprise Applications & Architecture engineers seamless, intelligent customer experiences by maximizing automation across support surfaces. As Senior Product Manager for the Help Center, you’ll own Coinbase’s primary self-service channel—where most customers first seek support. You’ll drive Automation Rate and customer satisfaction by building AI-powered search, personalized article experiences, and self-service workflows that resolve issues before they reach an agent. What you’ll do Own the Help Center roadmap across search quality, article strategy, AI summaries, and self-service flows serving millions of global customers. Improve Automation Rate and CSAT by identifying high-impact opportunities to deflect contacts via better self-service, smarter surfacing, and proactive resolution. Build AI-integrated search and content experiences with ML/LLM partners to enhance relevance, summaries, and contextual Quick Actions. Partner with CX Ops, Content Design, Engineering, and Data Science to maintain accurate, high-coverage knowledge across geographies and languages. Define and track funnel metrics (Automation Rate, Search AtR, CSAT, escalation rate) and use data to drive prioritization. Collaborate with internal platform teams and 3P vendors to keep chat, voice, and agent-tool integrations seamless and current. Required Skills a

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An Overview of this role We are seeking a Staff Product Manager to serve as an internal PM embedded within this team. This is not a traditional external-facing product role—it is an internal platform product leadership position. You will own the roadmap for our enterprise systems, act as the strategic voice of the business within engineering, and bring senior product craft to a team of Analysts and engineers who build and operate GitLab's revenue infrastructure. This role is ideal for a seasoned product leader who has deep Quote-to-Cash or Finance domain knowledge, thrives at the intersection of business strategy and techni

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The Enterprise Applications & Architecture (EAA) Business Unit Delivery team builds and operates the internal platforms that help Coinbase scale. Within EAA, the Compliance CX Agent Experience team owns Agent Cockpit, the primary internal platform used by Coinbase's compliance agents and investigators to review cases, communicate with customers, access account and transaction data, and resolve compliance-related support queries. As a Staff Technical Program Manager, you'll own program delivery for this complex, high-impact platform, driving cross-functional execution to ensure agents and investigators have reliable, performant tools every day. What you'll do: Own the program management framework for Agent Cockpit, including roadmap tracking, intake and prioritization, sprint planning, dependency management, and cross-team delivery execution. Drive technical dependency coordination and platform migrations, translating upstream system changes (API deprecations, service integrations, data model changes) into internal delivery plans and engineering asks. Lead launch readiness and operational risk management, owning security review coordination, production approvals, testing governance, and escalation when critical-path items stall. Partner with Engineering on reliability, observability, and performance programs, including system health metrics, load testing, capacity