Enterprise Application Ai Engineer Jobs

About the team The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We serve as trusted technical advisors, helping customers and partners move from early experimentation to production-scale AI systems. As a Partner AI Deployment Engineer focused on AWS, you will operate at the center of one of our most strategic partnerships, driving joint customer success and enabling AWS and partner ecosystems to scale adoption of OpenAI-powered solutions. About the role We are looking for a highly experienced technical leader to serve as the primary technical counterpart to AWS field leadership (Solutions Architects, Specialists, and Partner teams). This role goes beyond individual deal support—you will shape strategy, define engagement models, and build repeatable systems that scale across AWS globally. You will work across pre- and post-sales, guiding complex enterprise customers from ideation to production while enabling AWS and partners to independently drive deployments. You will combine deep technical expertise, strong judgment, and ecosystem leadership to maximize impact across a portfolio of high-priority opportunities. This role can be based in either Bangalore, Mumbai or Delhi . In this role, you will: Strategic AWS Engagement & Influence Serve as the senior technical counterpart to AWS field leadership, building trust and credibility across regions and teams. Influence joint account strategy and technical direction for high-priority opportunities. Shape how OpenAI engages with AWS by defining engagement models, prioritization frameworks, and best practices. Proactively identify and drive net-new opportunities and high-impact use cases across the AWS ecosystem. Complex Deal Leadership & Execution Lead technical strategy for large, ambiguous, and high-stakes enterprise engagements. Guide customers from early ideation through architecture design, prototyping, and production depl

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Software Engineer - AI Security to join our team. This is a Hybrid role based in San Jose, CA, reporting to the Director, Software Engineering in the Engineering department. We are building security products that enable organizations to adopt AI applications and agents safely and at scale. As a Staff Software Engineer, you will take ownership of complex engineering challenges, build secure and scalable systems, and raise the technical bar through hands-on execution and collaboration. What you’ll do (Role Expectations) Define technical direction and architecture for major areas of the product Lead high-impact initiatives that span multiple teams and system boundaries Turn ambiguous product and security challenges into clear, executable engineering strategies Establish standards for secure, reliable, scalable, and maintainable systems Identify systemic risks, architectural gaps, an

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Location San Diego, CA hybrid. Not remote. Position Summary As a Staff AI DevOps Engineer, you will help shape how AI transforms software development and infrastructure services across the organization. As a key technical member of the DevOps team, you will design and build secure, scalable, enterprise-grade AI solutions; including infrastructure for federated AI agents, MCP servers, and AI-augmented development workflows across AWS and Azure. You will work hands-on with teams across Infrastructure & Cloud Services and software development to solve complex technical challenges, establish sound engineering patterns, and enhance the end-to-end AI lifecycle; from experimentation, development, evaluation, and deployment to observability, governance, and continuous improvement. Through this work, you will accelerate the responsible adoption of reliable, production-ready AI solutions and improve how software teams build, deliver, and operate AI-enabled applications at enterprise scale.

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. 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. About Our Team The Smart Manufacturing and Artificial Intelligence (SMAI) organization is leading Micron’s AI-first transformation by building intelligent applications, AI-powered platforms, data products, and automation solutions that accelerate innovation across manufacturing, engineering, and business operations. Position Overview As a Senior AI Full Stack Engineer, you will lead the architecture, development, deployment and operationalization of secure, scalable AI-powered applications. You will combine strong software engineering with practical expertise in Generative AI, agentic systems, cloud-native services, data integration and modern user experiences. The role is expected to independently own complex technical outcomes, guide engineering decisions, mentor junior engineers and partner with architects, data scientists, product owners and business stakeholders to deliver measurable enterprise value. You will build enterprise-grade services and APIs using C# and .NET (ASP.NET Core), develop modern frontend experiences, integrate Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP) and enterprise

The NVIDIA PerfTech team is looking for an outstanding Senior C++ Software Engineer to build the next generation of AI-powered developer tools. You will apply deep expertise in modern C++, systems architecture, performance, and debugging to extend our developer-tools ecosystem into the emerging world of agentic software. In this role, you will help develop Genie, NVIDIA’s company-wide AI knowledge and developer-productivity service. You will build production-quality C++ components and integrations while contributing to agentic workflows and retrieval systems that help engineers find information, understand complex systems, and work more effectively. What You’ll Be Doing: Architect and develop production-quality C++ components, APIs, and integrations for NVIDIA’s AI-powered developer-tools ecosystem. Build reliable, performance-sensitive systems connecting native C++ tools with Genie’s retrieval and agentic capabilities. Design maintainable interfaces between C++ applications and AI services exposed through Python, MCP, REST APIs, and structured tool calling. Contribute to agentic workflows, retrieval systems, ingestion pipelines, evaluation infrastructure, and enterprise integrations. Drive technical initiatives from early exploration through production deployment, working closely with multidisciplinary engineering teams. Mentor engineers and help establish best practices for production-quality AI-powered systems. What We Need to See: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. 5+ years of professional experience developing complex production software in modern C++. Strong knowledge of software architecture, concurrency, debugging, performance optimization, and maintainable API design. Exper

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Executive Director, Software Engineering – AI Solutions will lead the design, development, and delivery of AI-powered software products and platforms that drive the Health100 strategy. Reporting to the VP of Engineering, this leader will be responsible for building and scaling a high-performing software engineering organization focused on leveraging Generative AI and agentic technologies to solve complex healthcare and business challenges. This role serves as the senior engineering leader responsible for translating business opportunities into production-grade software solutions. The Executive Director will define technical strategy, lead multiple engineering teams, establish engineering excellence practices, and partner closely with Product, Security, and Business stakeholders to deliver innovative AI-enabled applications at enterprise scale. The ideal candidate combines deep software engineering leadership experience with a strong understanding of modern AI technologies and a proven ability to build and scale engineering organizations that deliver measurable business outcomes. Key Responsibilities Lead software engineering teams responsible for the design, development, deployment, and support of AI-powered applications and platforms. Establish engineering best practices, software development standards, architecture governance, and operational excellence.

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 . Join the EAA Compliance CXAE team within the Platform group as a Software Engineer building AI-first platforms that transform how CX Compliance agents work. This team owns the tools, services, and applications that streamline compliance and KYC processes, helping resolve customer issues faster with greater accuracy. You'll build full-stack applications using Golang and React that enable compliance agents to increase productivity, drive automation, and deliver impact at scale through custom development and third-party integrations. What you'll do: Build end-to-end user-facing features using Golang, React, and cloud technologies for CX compliance agent platforms Lead assessment, selection, and implementation of third-party tools and vendor integrations that extend platform capabilities Drive cross-functional outcomes on complex problems in collaboration with product, design, security, data, and peer engineering teams Own technical architecture decisions and implement scalable, high-traffic services across event-driven and distributed systems Mentor engineers on design techniques, coding standards, testing practices, and deployment processes Required Skills and Experience: 4+ years of production software engineering experience building large-scale systems with Golang, React, and cloud technologies (AWS, Kubernetes, Terraform) Demonstrated experience integrating third-pa

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 . Software Engineer - Compliance CXAE As a Software Engineer on the EAA Compliance CXAE team within the Enterprise Engineering,, you'll build the AI-first applications and services that power how CX Compliance agents work every day. This team is responsible for the platforms, tools, and integrations that streamline compliance processes, helping agents resolve customer issues and KYC workflows faster, with greater accuracy, and at scale. You'll own full-stack feature delivery across Golang and React, ship third-party integrations, and directly improve the productivity and compliance experience for millions of Coinbase customers. What you'll do: Own end-to-end development of user-facing features across the compliance agent platform using Golang, React, and cloud technologies, from design through production deployment. Lead assessment, selection, and implementation of third-party tools and vendor integrations that extend platform capabilities and accelerate delivery. Partner with product, design, security, and data teams to deliver cross-functional solutions to complex compliance and CX problems. Build and maintain scalable, high-traffic services leveraging event-driven architectures, caching, load balancing, and observability tooling across AWS and Kubernetes. Mentor engineers on design patterns, coding standards, testing strategies, and deployment best pract

P-150 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. Search plays a foundational role in this mission. Whether through keyword-based retrieval, semantic similarity via vector embeddings, or hybrid approaches that combine both, our Search technologies help customers find, discover, and understand information across massive, complex datasets. These capabilities power everything from Retrieval Augmented Generation (RAG), AI assistants, and recommendation systems to enterprise knowledge management, in-product search, and data exploration. As a Staff Software Engineer for Search Quality, you will drive the technical direction of ranking, relevance, evaluation, and quality initiatives across Databricks’ next-generation Search product. You’ll design and build the systems, models, and evaluation frameworks that ensure our Search stack delivers accurate, high-quality results across diverse multimodal datasets and query patterns. You’ll work across research, product, and infra to push the frontier of retrieval quality for enterprise AI applications — blending traditional information retrieval techniques, representation learning, and neural ranking. Beyond hands-on contributions, you will help define our long-term vision for relevance and quality, mentor senior engineers, and lead strategic efforts that raise the accuracy, reliability, and product impact of Search across Databricks. Check out our recent blog post: Reranking in Databricks AI Search for Faster, Smarter Retrieval in RAG Agents The impact you will have: Lead the technical vision for Search Quality, shaping the ranking architecture, relevance modeling stack, and evaluation systems that power Datab

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. We are looking for a strong Senior Software Engineer in Test (SET) to build scalable test automation, developer productivity tools, and test infrastructure. The role is UI automation heavy , with strong focus on Playwright/Cypress, TypeScript/JavaScript , API and performance testing, CI/CD, and AI-assisted engineering. Key Responsibilities Design and maintain scalable UI automation frameworks using Playwright and/or Cypress with TypeScript/JavaScript . Build comprehensive UI, API, integration, and end-to-end automation for enterprise-scale applications. Develop API automation using REST Assured and REST APIs. Design and execute performance/load testing using JMeter and analyse performance bottlenecks. Build and integrate automated tests into CircleCI, Jenkins, or GitHub Actions pipelines. Develop reusable testing libraries, utilities, and developer productivity tools . Leverage GitHub Copilot, Claude Code, and other GenAI tools to accelerate automation development, debugging, test generation, refactoring, and improve test coverage. Identify, troubleshoot, and eliminate flaky tests , automation failures, and test infrastructure issues. Work with DevOps/SRE on Docker, Kubernetes, cloud environments, and test orchestration . Participate in on-call rotation and provide support for critical automation and production incidents . Perform RCA for production and automation issues and drive preventive actions. Collaborate closely with developers, architects, product

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: Platform DevOps Engineer Job Type: Full Time Location: Columbia, MD Clearance Requirement: TS/SCI, CI Poly Salary : Senior $215K SME $240K WHAT YOU’LL DO SIXGEN is actively seeking candidates to be part of a team that supports the United States Cyber Command (USCC). Our team is standing up USCYBERCOM’s AI Enterprise capability — the central hub that mission teams turn to when they want to move an AI solution from prototype to a secure, governed, enterprise-scale service. As a Senior Platform / DevOps Engineer on this team, you will build and run the infrastructure, pipelines, and control-plane guardrails that let the command adopt AI safely and at scale, with significant, visible impact on the mission of the USCC. What You'll Be Doing: Provide embedded operations support, capability integration, and rapid prototyping for AI-enabled tools in support of our customer. Design, implement, and maintain robust infrastructure for enterprise AI applications in cloud environments (AWS, Microsoft Azure) and on-prem/air-gapped/classified environments. Develop and optimize engineering workflows and processes to support AI model and agent development, deployment, and maintenance. Architect and manage CI/CD pipelines for continuous integration and continuous delivery of AI models, agents, and applications. Implement and manage containerization and orchestration solutions using Docker and Kubernetes, and build and maintain control-plane guardrails — identity, policy enforcement, approvals, audit/logging, and observability. Ensure efficient AI mo

The Leidos Health & Civil Sector is seeking a Software Engineering Lead to support the National Institutes of Health (NIH), National Cancer Institute (NCI). ** This posting is for future business – not yet awarded ** The Software Engineering Lead will oversee the design, development, modernization, integration, testing, deployment, and sustainment of enterprise software solutions supporting NCI. In addition, the Software Engineering Lead will provide technical leadership for software engineering teams responsible for delivering secure, scalable, cloud-native applications that advance NCI's biomedical research and business mission. Working under the direction of the Technical Lead, the Software Engineering Lead will collaborate closely with Government stakeholders, technical Subject Matter Experts (SMEs), solution architects, AI/ML engineers, data engineers, cybersecurity specialists, and DevSecOps teams to ensure the successful delivery of modern software solutions that support scientific research, clinical operations, and enterprise business systems. The successful candidate will champion modern software engineering practices, Agile development methodologies, DevSecOps, cloud-native architectures, and continuous innovation while ensuring high-quality, secure, and maintainable software solutions aligned with NIH and NCI standards. Key Responsibilities Lead the design, development, modernization, testing, deployment, and sustainment of enterprise software applications supporting NIH/NCI scientific, clinical, and business operations. Provide technical leadership across the full Software Development Lifecycle (SDLC) using Agile methodologies, including Scrum and Kanban, to deliver secure, scalable, and high-quality software solutions. Establish and enforce software engineering best practices, coding standards, configuration management, and DevSecOps processes to s

Toradex is a global company strongly focused on engineering & technology. We’re powered by a diverse & uniquely gifted workforce. We pursue the best people to propel our innovative vision of embedded computing and IoT. If you’re interested in being a driving force at an agile technology company, engineering clever computing solutions & helping other companies bring their products to life, we should talk. About the Role Toradex is looking for an AI Development Specialist to join its global AI team and build enterprise AI solutions that drive productivity, automation, and business transformation across the organization. This is a hands-on development role focused on designing, developing, integrating, and deploying AI-powered solutions, AI Agents, and business automations that create measurable value across our Customer Value Streams. What You'll Do Develop AI-powered applications and business solutions. Build AI Agents, copilots, and Generative AI solutions. Implement RAG (Retrieval-Augmented Generation) architectures. Integrate AI solutions with ERP, CRM, collaboration platforms, databases, APIs, and enterprise applications. Design automation workflows and intelligent business processes. Optimize prompts, models, integrations, and user experience. Collaborate with business and technical teams to turn ideas into production-ready solutions. What We're Looking For Required Technical Skills Available to work Hybrid from Toradex Office in Campinas-SP. Fluent English, with strong written and verbal communication skills. Strong software development experience . Experience with Generative AI, LLMs, AI Agents, and Prompt Engineering. Experience implementing RAG and knowledge-based AI solutions. Experience developing APIs and integrating enterprise systems. Familiarity with cloud platforms (Azure, AWS, and/or Google Cloud). Experience with Git, CI/CD, testing, and modern development practices. Knowledge of databases, SQL, and data integration concepts. Understandi

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.

Zoox is seeking a high-agency, hands-on Lead Analytics Engineer to bridge the gap between our complex enterprise data sources and our AI-driven decision-making systems. You will lead the design and implementation of our semantic layer and data modeling strategy, ensuring that data from SAP (S/4HANA, Ariba, BRIM, ME), Workday, Salesforce, and Anaplan is transformed into clean, performant, and "AI-ready" datasets. This is a critical leadership role for a builder who wants to own the data foundation that powers our intelligent agents and business-wide analytical workflows. In this role, you will: Design and maintain a unified semantic model that provides a "single source of truth" for cross-functional stakeholders, AI Agents, Self Serve Analytics and Executive dashboards. Collaborate with Data & AI Engineers to structure and optimize the data that allows to query enterprise knowledge with high accuracy and low latency. Establish organizational standards for data modeling, version control, testing, and documentation to ensure high data quality and system maintainability. Implement automated testing and observability frameworks that proactively identify data anomalies and "self-heal" pipelines, ensuring our data is always reliable for downstream consumption. Partner with cross-functional business leaders to translate complex operational requirements into high-impact, scalable data solutions. Qualifications: 10+ years in Data Engineering & Analytics, with extensive hands-on experience building a semantic framework using Python, SQL and modern orchestration frameworks (e.g. Airflow, Lakeflow, Argo). With at least 2+ years of hands-on experience deploying AI generated code. Extensive experience using modern data stacks (e.g. Snowflake/Databricks, Big Query) to build complex, enterprise-grade data models. Deep understanding of data structures within large-scale enterprise platf