Enterprise Application Ai Engineer Jobs

MongoDB is looking for a Staff Product Manager to define and execute the strategy for our Developer Tools portfolio. This role will help developers and data practitioners learn about, explore, model, query, and work with data through intuitive, powerful experiences. The initial scope includes MongoDB Compass and Data Explorer , with the opportunity to shape connected experiences across the broader developer tools ecosystem, including MongoDB Shell , IDE integrations, data modeling, and AI powered developer experiences. You will operate as a company-wide product leader: setting direction, simplifying complex technical problems, and aligning engineering, design, research, developer advocacy, marketing, sales, support, and adjacent product teams around measurable customer outcomes. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What you’ll do Define the vision, strategy, and multi-year roadmap for developer tools, balancing the needs of individual developers, data experts, application teams, and enterprise customers Own product strategy for experiences that span desktop, browser, Atlas, and self-managed deployments, creating a coherent journey rather than a collection of disconnected tools Identify high-impact opportunities in data exploration, querying, performance troubleshooting, schema and data modeling, governance, and observability Help shape the next generation of AI-assisted and agentic workflows, including natural-language interactions, intelligent guidance, and transparent actions that keep developers in control Lead customer discovery with developers, architects, data professionals, and enterprise teams; turn qualitative and quantitative insights into clear product decisions Partner deeply with engineering and design to frame problems, define requirements, make tradeoffs, and deliver high-quality products from discovery through launch and iteration Build alignment across teams that contribute to the developer expe

At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the Role Anyscale runs on a small, high-leverage IT function, and we're looking for an IT Engineer to own it. This is a hands-on engineering role, not a help desk or tier-1 support role. Roughly half the job is software: you will own and extend a set of internal automation and notification services wired into our directory and hardware systems. You should be comfortable owning a codebase and a GitHub repository, not only vendor admin consoles. The other half is the identity, endpoint, hardware, and vendor backbone that keeps a company of roughly 200 people, close to half of them engineers, productive across three public clouds. Reporting to the Head of Security and IT, you will work closely with security, engineering, and the people team. This role is based in the San Francisco Bay Area on a hybrid schedule. What You'll Do Own identity and access: Okta and Google Workspace administration, group-based authorization, 1Password Enterprise, passkeys, and automation driven provisioning and deprovisioning. Own and extend our internal automation services, and run them on scoped service accounts with sound security and hygiene. Own the endpoint fleet through mobile device management, including device trust posture checks, endpoint

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Technical Product Owner serves as a critical bridge between business stakeholders and engineering teams, owning the definition, prioritisation, and delivery of technically complex initiatives. This role focuses on AI enabled platforms, cloud infrastructure, CI/CD pipelines, and secure enterprise systems, translating business goals into clear, actionable product requirements and ensuring high quality delivery through agile practices. The TPO works closely with product leadership, engineering, architecture, security, and platform teams to drive delivery across AI use cases, data platforms, cloud environments, and application ecosystems. What’s on Offer at D&B Ireland 25 days annual leave (plus 2 paid volunteer days & 1 paid un-sick day) Holiday buy & sell (the option to buy or sell up to 5 additional days per year) Flexible working - hybrid model Employee Health Insurance Mental Health Support program Pension Contribution Family Friendly Leave (Maternity, Paternity, Parental, Marriage and Bereavement) Life Assurance Educational Assistance Program Life-Style Account (D&B will match your contributions up to €40 per month and can be used to claim for a range of health-related, leisure or lifestyle activities) At Dun & Bradstreet, we are 6,000 friendly colleagues around the world waiting to meet you and give you the&nbs

Join Delphi - Where Innovation meets transformation At Delphi, we believe in creating an environment where our people thrive. Our hybrid work model empowers you to choose where you work—whether it's from the office, your home, or a mix of both—so you can prioritize what matters most. We are committed to supporting your personal goals, family, and overall well-being while driving transformative results for our clients. We welcome exceptional talent from anywhere across the globe. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset. Rooted in the region, we specialize in delivering tailored, impactful solutions in Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization. Whether it’s enabling predictive analytics , transforming operations with automation, or driving customer engagement with intelligent platforms, we are the trusted partner for organizations ready to embrace a smarter, more efficient future. About the role We are seeking a proactive and experienced Senior App Modernization and DevOps Engineer to lead the transformation of legacy applications and drive the implementation of modern DevOps practices on Azure. This role requires strong expertise in cloud computing, application modernization, and containerization, with a particular focus on Azure Kubernetes Service (AKS) and Azure-native solutions. The ideal candidate will have a proven track record in modernizing enterprise applications and optimizing CI/CD pipelines within a cloud-first environment. Job responsibilities Application Modernization Support: Assist in the migration and modernization of legacy applications to Azure, working closely with senior engineers to refactor, rearchitect, and containerize applications. CI/CD Pipeline Assistance: Support the development, maintenance, and optimization of CI/CD pipelines using Azure DevOps, ensuring smooth integration and deployment processes. Infras

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are looking for a hands-on Full-Stack Senior Software Engineer to join our IT Software Engineering team reporting directly to the Director, IT Software Engineering. Inside IT Software Engineering, we are shifting from a traditional "SaaS-only" procurement model to an agile Build and Buy strategy. Powered by the Elastic Stack—Elasticsearch, Kibana, Elastic ML, and native AI capabilities—our team builds custom, enterprise-grade applications and AI-powered bots for internal teams (IT, HR, Finance, Ops), replacing expensive third-party software contracts with faster, native solutions. This is a 100% individual contributor (IC) engineering role . You will lead the technical design, development, and deployment of full-stack internal web applications and conversational AI bots. You will write clean React and Node.js code, integrate backend services natively with Elasticsearch, and leverage modern AI development tools (Cursor, Claude, Copilot) to accelerate delivery—all while taking complete operational ownership of production systems. What You Will Be Doing Build Enterprise Applications: Write clean, maintainable code across React, TypeScript, and Node.js to design and ship full-stack applications that replace legacy SaaS tools. Develop AI Bots & Workflows: Architect and deploy intelligent internal bots using LLMs, Retrieval-Augm

Role Overview: Citi’s Banking Technology organization is seeking a highly hands-on Lead Software Engineer to design, build, and deploy cutting‑edge AI solutions for Investment, Corporate, and Commercial Banking. This role focuses on implementing scalable, agentic AI frameworks and generative AI solutions within small, agile squads. The successful candidate will operate with an AI‑first mindset , emphasizing rapid prototyping, MVP‑driven development, and iterative delivery of production‑grade AI capabilities. Key Responsibilities: AI Solution Development: Design, implement, and deploy scalable agentic AI frameworks and generative AI solutions for critical business use cases, ensuring robustness, performance, security, and reliability. Agentic Systems: Develop and integrate agentic AI systems leveraging multiple model providers and platforms (e.g., OpenAI, Anthropic, Google APIs). Full‑Stack AI Engineering: Build full‑stack applications integrating LLM‑driven workflows and AI coding tools (e.g., Devin, GitHub Copilot). Iterative Delivery: Drive an MVP‑first, rapid‑iteration approach with continuous experimentation and improvement. Evaluation & Optimization: Define and implement metrics, evaluation strategies, and feedback loops to continuously improve AI system performance and behavior. Emerging Technologies: Research, prototype, and integrate advances in agent‑based, autonomous, and generative AI technologies. Technical Collaboration: Contribute hands‑on within cross‑functional teams and provide technical guidance and mentorship to junior engineers. Domain Alignment: Ensure AI solutions are well‑aligned to banking and financial services requirements, constraints, and business outcomes. Qualificatio

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 As an Senior AI Engineer at GitLab, you'll help build the foundation for GitLab's transformation into an AI-first company. Reporting to the Director, Enterprise AI, you'll be a hands-on technical leader responsible for delivering internal AI-powered solutions that drive measurable business outcomes. Building fast matters, but it's not enough on its own. This role starts with understanding the real problem: mapping how work moves across teams, tools, and handoffs, identifying the true constraint, and validating whether AI is the right solution before you begin development. From there, you'll take ownership

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 As an AI Engineer at GitLab, you'll help build the foundation for GitLab's transformation into an AI-first company. Reporting to the Director, Enterprise AI, you'll be a hands-on technical leader responsible for delivering internal AI-powered solutions that drive measurable business outcomes. Building fast matters, but it's not enough on its own. This role starts with understanding the real problem: mapping how work moves across teams, tools, and handoffs, identifying the true constraint, and validating whether AI is the right solution before you begin development. From there, you'll take ownership from d

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. The Smart Manufacturing & AI (SMAI) organization develops AI-enabled solutions that drive business value, operational efficiency, and innovation across Micron. By combining software engineering, artificial intelligence, automation, and data-driven decision-making, the team delivers scalable technologies that improve productivity and accelerate digital transformation throughout the enterprise. As an AI Engineering Intern, you will design, develop, and support AI-enabled software solutions that address real-world business challenges across Micron. You will work on full stack applications, AI agents, LLM integrations, and modern software systems while gaining hands-on experience with production-grade AI technologies, cloud-native architectures, and AI-assisted software development practices. Responsibilities Design, develop, test, and support AI-enabled software applications using modern programming languages, web technologies, databases, APIs, and cloud-based architectures. Build and integrate AI capabilities such as large language models (LLMs), AI agents, retrieval systems, and intelligent automation solutions into enterprise applications. Collaborate with engineers, product owners, and business stakeholders to translate business requirements into scalable technical solutions. Utilize AI-assisted development tools, automation frameworks, and modern engineering practices to improve software quality, productivity, and delivery efficiency. Research, evaluate, and prototype emerging AI techn

About the team: Rubrik secures and accelerates the world’s AI transformation. As AI agents reshape the enterprise, Rubrik’s Enterprise AI Incubation team proves it on Rubrik itself. We are building a thinking enterprise: applications that don't just record the business but help run it. They learn from our data, act through our own agents, and improve with every decision. Fully backed by executive leadership, this team drives meaningful, large-scale enterprise transformation. About the role: We want senior engineers who have already shipped agents that real people rely on, and who are ready to do it again at higher stakes. You will drop into the real work, redesign it around agents that carry it end to end, and ship it as the new way that part of Rubrik operates.You’ll own your agent systems end to end: understanding the workflow, designing the architecture, writing the code, deploying, and running it in production. Rather than simply querying an API, you engineer robust, production-grade infrastructure around model endpoints, integrating custom tooling, context pipelines, automated evaluations, and defensive guardrails to ensure resilience against unstructured real-world data. You also decide whether a problem needs an agent, a simpler automation, or nothing at all, and you have explicit authority to stop or re-scope work that won’t deliver impact. You thrive in ambiguous environments with a low-ego mindset, leveraging AI coding tools as core collaborative partners in your engineering workflow. What you’ll do: Lead product discovery alongside Product Managers and domain experts to understand real workflows, map them out, and define clear problems, baselines, and success criteria as the foundation for building agentic solutions. Design, build, test, and deploy production agents, automations, and internal tools using coding agents, LLM APIs, and agent frameworks, integrated with Rubrik’s internal agent platform and business systems. Turn complex processes into multi-a

Senior AI Engineer Location: London (Hybrid) | Practice Area : Technology & Engineering | Type: Permanent Empower the next frontier of AI with Capco. Shape, build, and deliver future-ready generative systems. The Role We’re looking for a Senior AI Engineer (Senior/Principal Consultant) to join our Technology Delivery team. In this role, you’ll combine deep expertise in AI/ML engineering and software development to design, build, and deploy advanced generative AI and agentic systems for leading financial services clients. You’ll work hands-on across the full AI engineering lifecycle, from architecting intelligent multi-agent systems to deploying scalable production-grade AI applications within enterprise environments. As a senior consultant, you’ll also collaborate closely with multidisciplinary teams and client stakeholders to drive innovation, accelerate adoption, and deliver measurable business impact. What You’ll Do Architect and develop autonomous AI systems leveraging multi-modal large language models across text, image, audio, and video Design and implement agentic workflows using prompt engineering, Retrieval-Augmented Generation (RAG), APIs, and enterprise data integrations Fine-tune, optimize, and deploy large language and multi-modal models with a focus on scalability, reliability, and low-latency performance Build scalable MLOps pipelines and cloud-native AI applications to support secure, production-grade deployments Collaborate with clients and cross-functional teams to shape AI engineering strategy and accelerate GenAI adoption across complex environments What We’re Looking For Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Engineering, or a related STEM discipline Proven hands-on experience deploying LLMs and multi-modal AI models within enterprise or large-scale production environments Strong software engineering expertise in Python, including backend development, API design, and distributed systems Solid understan

Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain. We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise — we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions. As Artefact continues to grow globally, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption. The Role Artefact is looking for a Senior AI & Agentic Engineer: a full-stack engineer who takes AI features from idea to production. You will design and build the interfaces, services, and agentic systems at the heart of our client work, such as conversational applications over enterprise data, multi-step agents that automate business workflows, and the retrieval and data pipelines that support them. You will own your components end to end: the React front end, the Python or Node service behind it, the RAG pipeline feeding it, and the evaluations proving it works. This role combines breadth and depth: the ability to take a feature from front end to cloud deployment, together with strong expertise in at least one major AI platform — Google (Gemini), Anthropic (Claude), or OpenAI. You will work with direct client exposure, and you will support the professional development of the junior engineers around you. What You'll Do Build Full-Stack AI Applications, End to End You will build AI products across the entire stack, from interface to infrastructure. Develop user-facing interfaces in TypeScript/React and the backend services and APIs behind them in Python or Node. Implement a

Senior Platform Engineer AI Engineering | Forward Deployed Engineering Role Description Defense Unicorns is seeking a senior AI Agentic Engineer to embed with a government team and its technology partners building an emerging AI-powered engineering ecosystem. This role will focus on designing, integrating, and operationalizing AI agents and agentic workflows within a secure enterprise environment. The engineer will work across large language models, agent frameworks, enterprise data, APIs, developer tooling, and platform services to turn AI capabilities into reliable, mission-relevant workflows. The ideal candidate is a hands-on engineer who understands both the capabilities and limitations of modern AI systems and can rapidly translate emerging technologies into working solutions. They should be comfortable experimenting with new models and agent frameworks, integrating agents with enterprise systems and tools, evaluating performance and reliability, and working alongside platform engineers and commercial technology partners. This is not a research-only role. The focus is on moving from AI concepts and prototypes to secure, useful, repeatable agentic capabilities that can operate in production environments. Responsibilities Design, build, and integrate AI agents and multi-agent workflows using modern LLM and agentic technologies. Develop agent capabilities that interact with enterprise applications, APIs, data sources, developer tools, and mission systems. Integrate models, agents, tools, and enterprise data into secure workflows that can be deployed in controlled and classified environments. Work with LLMs, RAG, embeddings, vector databases, tool/function calling, structured outputs, MCP, and related technologies. Develop mechanisms for agents to securely discover, access, reason over, and act upon approved enterprise data and services. Prototype and rapidly evaluate emerging models, agent frameworks, and AI capabilities to determine where they can create measurab

Who We Are Artefact is an applied AI company. We build systems that run in production, in our clients' own cloud, and keep running after we leave. We are present in 27 countries across all continents with a team of 2,500 employees and offer the most comprehensive set of AI & data solutions per industry, built on deep data science and cutting-edge AI technologies, delivering AI projects at scale in all industry sectors. From strategy to operations, we partner with 1000+ clients, including some of the world’s top 300 brands. The Role We are looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack : an engineer who works embedded with our clients and takes AI products from idea to production. You will design and build the interfaces, services, and agentic systems at the heart of our client work, such as conversational applications over enterprise data, multi-step agents that automate business workflows, and the retrieval and data pipelines that support them. You will own your components end to end: the front end, the service behind it, the data and retrieval pipelines feeding it, the deployment, and the evaluations proving it works. This role combines deep, certified expertise in Google's enterprise AI stack (Gemini models, Vertex AI, and the Gemini Enterprise agent platform) with the ability to deliver end to end. Beyond your platform specialization, you will be expected to work confidently across the full delivery lifecycle — full-stack development, data engineering, cloud infrastructure, evaluation, and client communication. You will work closely with our clients, with direct exposure from the start, and you will support the professional development of the engineers around you. What You'll Do Build Full-Stack AI Applications, End to End You will build AI products across the entire stack, from interface to infrastructure. Develop user-facing interfaces and the backend services and APIs behind them in Python. Implement age

SIXGEN’s mission is to deliver agile, mission-ready cybersecurity solutions that empower government and critical infrastructure organizations to stay ahead of advanced cyber threats. We combine innovation, deep expertise, and cutting-edge capabilities to uncover vulnerabilities, protect vital systems, and ensure operational superiority in an ever-evolving digital landscape. POSITION OVERVIEW Position: Senior Data Scientist Job Type: Full-time Location: Onsite, Ft. Meade, MD Clearance Requirements: Active TS/SCI with Polygraph required Work Schedule: 5 days per week onsite Travel Requirements: None Experience: 4+ years WHAT YOU'LL DO SIXGEN supports missions by serving government and commercial organizations as they overcome global cybersecurity challenges. In this position, you’ll provide meaningful support to our customer’s missions and operations. You’ll work alongside a team of highly skilled operators who are dedicated to using innovative processes, tools, and techniques to get things done. KEY RESPONSIBILITIES Develop, and maintain robust and scalable data pipelines for enterprise AI applications including defining appropriate data model concepts Develop high-performance data parsers for extremely large and complex datasets Implement and manage various database systems, including graph, SQL, NoSQL, and vector databases Collaborate with AI/ML engineers and data scientists to understand data requirements and optimize data access and retrieval for AI models Ensure data quality, integrity, and security across all data storage solutions Support the deployment and maintenance of AI applications by providing expert data engineering capabilities Familiarity with AI concepts in the context of data storage, access, and retrieval Continuously optimize data infrastructure for performance, cost-efficiency, and scalability REQUIRED QUALIFICATIONS Bachelor's degree in a relevant technical fi