Ai Automation Engineer Jobs

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Location: Remote (US) Lead the engineering of software that matters — driving AI automation for the world's largest enterprises. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems — spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability — set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological chan

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Lead Applied AI Engineer Grow your engineering career building the AI systems that understand, model, and rebuild enterprise applications — powering AI automation for the world's largest enterprises. This role is based at our ​h​eadquarters in ​McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Lead Applied AI Engineer, you will serve as a technical linchpin for the team building AI systems that reason about enterprise applications end to end — spanning agents and orchestration, specification extraction from existing systems, application intelligence and retrieval, and rigorous LLM evaluation. These skills are shared across the team, so you'll bri

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Lead the engineering of software that matters — driving AI automation for the world's largest enterprises. This role is based at our ​h​eadquarters in ​McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems — spanning code generation, agents, ret

Zoox is seeking a highly motivated, hands-on Lead AI Engineer to spearhead the end-to-end development and deployment of our Enterprise Gen AI and LLM initiatives, building agentic workflows, integrating enterprise data sources, and enforcing identity-aware security, that transform operations across Procurement, Supply Chain, Legal, Finance, HR and Manufacturing (MES). In this role, you will: Design and deploy production-grade LLM applications and intelligent agents capable of complex reasoning, secure tool usage and autonomous multi-step workflows. Architect enterprise data/tool integrations using MCP servers, establishing standardized, reusable connectors across Procurement, Supply Chain, Legal, Finance, HR and Manufacturing (MES). Enforce security guardrails via AI gateways - authentication, rate-limiting, logging and policy compliance for all model/agent traffic. Implement identity inheritance via SSO, ensuring agents act strictly within the requesting user's permissions & privileges (no privilege escalation, no standing overreach). Work with the Information Security team on access control (RBAC/ABAC) for agentic systems and establish observability standards for agent behavior and data access. Partner with cross-functional teams to build secure, code-driven AI automation. Qualifications: 10+ years in Data/Software Engineering, with 2+ years deploying GenAI/LLMs in production. Deep Python proficiency; experience with LangChain, LlamaIndex or provider-native orchestration (e.g., Claude Agent SDK, OpenAI Assistants/Agents SDK or hand-rolled). Hands-on experience building/integrating MCP servers or comparable connector frameworks. Experienced in AI gateway solutions (e.g. Cloudflare AI Gateway) for governing agent traffic. Working knowledge of SSO/identity federation (SAML, OIDC, OAuth 2.0) and propagating identity through agentic tool calls.

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Lead AI Developer Tooling Engineer Location: Remote (US) Grow your engineering career building the developer tools that power AI automation for the world's largest enterprises. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Lead AI Developer Tooling Engineer, you will serve as a technical linchpin for the team building the tools Appian's own engineers rely on — IDEs, CLIs, code-analysis, and CI/CD workflows — and the layer that brings AI capabilities into their daily development. Equipped with cutting-edge AI tooling yourself, you'll design and deliver developer experiences of real sophistication, shape engineering practices, and deepen your expertise while ensuring flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize developer-facing tools and services while maintaining a strong personal technical presence on the team. Build Developer Tooling: Design and build the IDE integrations, CLIs, code-analysis, and CI/CD tooling that Appian's engineers rely on every day — treating developer experience as a first-class product. Eng

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Lead AI Developer Tooling Engineer Grow your engineering career building the developer tools that power AI automation for the world's largest enterprises. This role is based at our ​h​eadquarters in ​McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Lead AI Developer Tooling Engineer, you will serve as a technical linchpin for the team building the tools Appian's own engineers rely on — IDEs, CLIs, code-analysis, and CI/CD workflows — and the layer that brings AI capabilities into their daily development. Equipped with cutting-edge AI tooling yourself, you'll design and deliver developer experiences of real sophistication, shape engineerin

Position Overview At Eulerity, we are building the future of AI-driven marketing automation — and behind every great hire is a great recruiting process. We are looking for a highly organized, tech-curious intern to support our technical recruiting lifecycle. You will learn to identify engineering talent, understand our tech stack, and manage the specialized candidate journey for software engineers. This is not a passive, administrative internship. You will work directly under our Recruiter to keep our hiring engine running at full speed — coordinating interviews, tracking candidate progress, gathering and synthesizing interviewer feedback, and learning how to identify and source top talent. You will get an unfiltered look at how a high-growth startup builds its team, and you will be a meaningful part of making it happen. What You Will Do Interview Coordination & Candidate Experience Own the Schedule: Coordinate interview logistics across multiple roles and hiring teams, ensuring candidates and interviewers are aligned, prepared, and on time. Manage the Candidate Journey: Serve as a point of contact for candidates throughout the process, ensuring every touchpoint is timely, professional, and reflects Eulerity's brand. Support the scheduling of technical screenings and pair-programming interviews, ensuring we have the right interviewer pairings for our tech stack.2 Feedback Collection & Reporting Help aggregate technical assessment scores and interviewer feedback to ensure we are assessing both soft skills and coding competency consistently. Talent Sourcing (Learning Track) Go beyond LinkedIn. Learn to use GitHub, Stack Overflow, and technical communities to source passive engineering candidates. Develop a basic understanding of our tech stack to better qualify resumes and assess potential. Who You Are Highly Organized: You thrive when managing multiple moving pieces at once and take pride in keeping things airtight — no dropped balls, no missed follow-ups. A

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Risk Tech engineering organization is committed to tangibly reducing accident frequency, saving lives, and managing costs to enhance the safety and affordability of rides. Claim Management is a core financial function for Lyft. Each claim touches complex workflows, multiple stakeholders, sensitive data, financial reserves, regulatory processes, and significant financial liabilities. This role offers the opportunity to define a leading claims management system for the industry. Our vision is to establish a single, Unified Risk Platform where comprehensive claims workflows across all business lines are efficiently administered, communications are consolidated, and data is structured to facilitate data-driven insights and decisions. This enables cost-efficient claims operations, mitigates risks and expenses as Lyft scales, and ensures people receive assistance proactively and accurately. We are seeking a Senior Software Engineer to contribute to the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers our insurance platform. You will collaborate with passionate colleagues from Engineering, Data Science, Product and Claim Operations to deliver end-to-end solutions. Responsibilities: Define and drive the long-term technical roadmap for claims management systems, aligning priorities with Product, Claim Operations, Data Science, and other stakeholders. Provide architectural leadership, make informed design tradeoffs, and guide strategic decisions across multiple engineering teams. Understand claim handling workflows, identify bottlenecks and multiply their productivity by driving platform innovations and resolving pain points with AI automation solutions Deliver scalable, reliable

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Risk Tech engineering organization is committed to tangibly reducing accident frequency, saving lives, and managing costs to enhance the safety and affordability of rides. Claim Management is a core financial function for Lyft. Each claim touches complex workflows, multiple stakeholders, sensitive data, financial reserves, regulatory processes, and significant financial liabilities. This role offers the opportunity to define a leading claims management system for the industry. Our vision is to establish a single, Unified Risk Platform where comprehensive claims workflows across all business lines are efficiently administered, communications are consolidated, and data is structured to facilitate data-driven insights and decisions. This enables cost-efficient claims operations, mitigates risks and expenses as Lyft scales, and ensures people receive assistance proactively and accurately. We are seeking a Senior Software Engineer to contribute to the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers our insurance platform. You will collaborate with passionate colleagues from Engineering, Data Science, Product and Claim Operations to deliver end-to-end solutions. Responsibilities: Define and drive the long-term technical roadmap for claims management systems, aligning priorities with Product, Claim Operations, Data Science, and other stakeholders. Provide architectural leadership, make informed design tradeoffs, and guide strategic decisions across multiple engineering teams. Understand claim handling workflows, identify bottlenecks and multiply their productivity by driving platform innovations and resolving pain points with AI automation solutions Deliver scalable, reliable

ABOUT SINGLESTORE & THE TEAM SingleStore is the Intelligence Platform powering real-time data, analytics, and AI experiences at enterprise scale. Internally, we practice what we preach through our AI & Automation Center of Excellence (CoE): a unit that partners with cross-functional teams to identify high-friction business problems and solve them using AI, automation, and data. As a Senior AI & Automation Manager, you will be overseeing the AI CoE and working directly with executive leadership to tackle the company's highest-impact problems. WHAT YOU'LL DO ● AI agent development: Building and refining AI agents (e.g., Glean or custom agents) to automate knowledge retrieval, extract intelligence, and support decisions. ● Automation workflows: Design and build automation pipelines to eliminate manual and repetitive processes. ● Data analysis & pipelines: Write Python and SQL to extract, transform, and analyse data from internal systems (Salesforce, data warehouse, etc.), including building scoring and prioritization models. ● Stakeholder discovery: Engage with cross-functional teams to understand pain points, document requirements, and translate them into structured problem statements. ● Process improvement: Identify workflow inefficiencies, propose solutions, and drive implementation end-to-end with strong ownership. ● Project management: Independently scope, sequence, and deliver technical projects. ● Enablement/Team management: Guide or mentor junior team members on technical execution, and act as the go-to resource for AI/automation capability across the org QUALIFICATIONS / SKILLS Background 4-6 years of experience in AI, automation, data science or analytics Bachelor's degree in Computer Science Engineering, or a related technical field Preferred background in SaaS, particularly working with cross-functional teams Technical Competencies Proficient in Python (Pandas, NumPy, Scikit-learn), able to

CAPCO POLAND * We are looking for Poland based candidate. * This role is hybrid and may require working from the office in Warsaw. At Capco Poland, we’re not just another consultancy - we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we thrive on helping clients tackle the toughest challenges across banking, payments, capital markets, wealth, and asset management. Business Analyst – Market Risk Data & AI Automation Role Overview We are seeking an experienced Business Analyst within Financial Markets Technology to support Market Risk initiatives, with primary ownership of the Data Quality Management System and associated data-lineage processes. The role will focus on re-engineering and automating manual data-quality and lineage processes using AI/GenAI tooling , while acting as the bridge between business, risk, data and technology teams. Key Responsibilities Own and maintain end-to-end data lineage across the Market Risk Platform (MRP), including source-to-target mappings, interfaces, transformations and downstream dependencies. Analyse ADO tickets, code repositories and documentation to assess change impacts and investigate data-quality issues. Work with data owners, developers and application teams to resolve lineage gaps and maintain accurate documentation. Track lineage changes throughout the delivery lifecycle and ensure documentation remains aligned with production releases. Support strategic Market Risk transformation initiatives, including FRTB, by documenting current/target-state data flows and downstream impacts. Identify and implement AI/GenAI-enabled automation , including automated lineage extraction, model/mapping generation, analysis and visualisation. Re-engineer manual data-quality and control processes to improve efficiency and reduce operational effort. Maintain governance and lineage evidence supporting BCBS239 , audits and data-owner atte

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Workforce Identity Cloud Okta Workforce Identity Cloud (WIC) provides easy, secure access for your workforce so you can focus on other strategic priorities, such as reducing costs and doing more for your customers. If you like to be challenged and have a passion for solving large-scale automation, global traffic routing, and resilient cloud infrastructure problems, we would love to hear from you. The ideal candidate is someone who exemplifies the ethics of, “If you have to do something more than once, automate it” and who can rapidly self-educate on new network topologies, multi-cloud ecosystems, and agentic engineering models. Position Overview: The Staff Software Engineer - Infrastructure will play a foundational role in architecting, evolving, and securing Okta's global core network fabric and multi-cloud platform layers. This position focuses on building highly resilient, edge management in AWS and GCP cloud, executing enterprise-wide cloud migrations (AWS to GCP), enforcing absolute Zero-Trust primitives (mTLS / TLS 1.3), and integrating cutting-edge AI automation layers (Agentic SRE) into our day-to-day operations. As a Staff Engineer on this team, you will act as a key technical anchor in India, working closely with global counterparts to maintain Okta's high-availability SLAs while protecting the platform against active global DDoS attacks. Key Responsibilities: Global Ingress & Routerless Evolution (CFSaaS): Design and engineer Next-Gen traffic

About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world. AI at SharkNinja At SharkNinja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn’t been invented yet, you’ll fit right in. The Finance organization at SharkNinja is a strategic partner that enables innovation, accelerates growth, and drives outstanding business performance. Working closely with Finance partners to support Product Development, Engineering, Supply Chain, Operations, and Commercial teams, providing the insights and financial leadership that enable SharkNinja to deliver disruptive, consumer first innovation. As the Director, Finance AI & Automation , you will own the design, build and deployment of the AI capability inside a global Finance organization at a nearly $8 billion consumer products company. This is not an advisory or program management role. You will personally build, production AI agents and automations that change how Finance plans, closes, controls, and decides. You will be deployed across the whole Finance estate, FP&A, Accounting, Internal Audit and SOX, Tax, and T

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. JOB PROFILE • Identify, diagnose and resolve assembly process related problems • Coordinate and execute process, equipment and material evaluation / optimization initiatives and implement changes at process step • Lead / participate in continuous yield improvement and cost reduction activities • Validate and fan out new process baseline qualified, including new process, tools and/or materials for new product introduction • Support site to site portability • Develop and apply automation, data analytics, and AI-assisted approaches • Serve as a technical interface between manufacturing, engineering, and system or data teams About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/

Zafin is an AI platform company helping regulated institutions modernize how critical work is designed, governed, and delivered. Our technology enables organizations to move faster while maintaining the governance, accountability, and control required in highly regulated environments. Our portfolio includes Zafin AIOS , an agent orchestration platform for governed AI work; the Zafin Banking Platform , which helps banks modernize product, pricing, offers, billing, loyalty, and relationship management; and Zafin IO , an integration platform that connects data, systems, and workflows across complex enterprise environments. Headquartered in Toronto, Canada, Zafin partners with leading financial institutions across North America, Europe, the Middle East, Africa, and Asia-Pacific. As AI transforms the future of financial services, we're building the platforms that help regulated organizations adopt AI responsibly and at scale. What is the Opportunity? As a Machine Learning Engineer, part of Zafin's AIOS Product team , you will build the machine learning and AI systems that power the AIOS Knowledge Fabric and help agents reason over enterprise knowledge with accuracy, traceability, and control. You will work on practical production systems, including retrieval, ranking, embeddings, model integration, evaluation, data pipelines, model serving, observability, and the workflows that make AI outputs reliable for regulated banking environments. This is a hands-on engineering role focused on turning ML and LLM capabilities into dependable product infrastructure. This role is critical for high-quality knowledge, strong evaluation, and reliable model behavior. You will help build the foundation that allows customers to use AI agents with confidence, accountability, and measurable business value. What Will You Do? Design, build, test, and maintain ML and AI capabilities for AIOS, with a focus on knowledge retrieval, model integration, and producti