5 Apifirst Design Jobs

The future is being built today, and at Johnson Controls, we are making that future more productive, secure, and sustainable. By harnessing the power of cloud computing, artificial intelligence and machine learning (AI/ML), data analytics, the Internet of Things (IoT), and user design thinking, we are delivering on the promise of intelligent buildings and smart cities that connect communities in ways that enhance people's lives and make the world a better place. As the AI landscape expands to GenAI, we are continuously evolving and pivoting to capitalize on these advancements and bring them through the maturity cycle to benefit our teams and customers. The Johnson Controls Data Strategy & AI team's mission is to infuse AI capabilities into products through a collaborative approach with multiple business units. The team aims to create end-to-end enablers that streamline AI/ML operations, starting from data supply strategy to data discovery, model training and development, and deployment of AI services in the cloud as well as at the Edge. We are currently seeking a hands-on Senior Software Engineer with industry experience to contribute to foundational AI/ML engineering with repeatability in mind. The Senior Engineer will collaborate with data scientists, platform/data architects, and domain experts from various teams across JCI to build enablers that help productize AI/ML models. Responsibilities include utilizing sound software engineering principles to deliver high-quality software that serves as the foundation for our end-to-end AI/ML solutions, translating AI/ML customer features into well-thought-out engineering requirements, and leveraging GenAI frameworks for designing cutting-edge generative artificial intelligence models. Joining a highly performant technical team, the Senior Software Engineer will work with backend, MLOps, LLMOps, DevOps engineers, and architects to bring workflows to life that aid in the development and widespread deployment of AI services in the cloud and at the edge. Additionally, collaborating with Product and Data Science teams, evaluating technologies, and presenting recommendations for potential partners are key aspects of the role. Requirements: - Bachelor's degree in Computer Science, Electrical or Computer Engineering, or equivalent demonstrated technical abilities - 5+ years of experience as a Software Engineer in Cloud Services or IoT, with expertise in UI technologies such as Angular, JavaScript, HTML, CSS - Proficiency in modern programming languages like Python, Nodejs, and experience with Test Driven Development (TDD) methodology - Hands-on experience with backend services on cloud platforms like AWS, Azure, or GCP, API-first design, message brokers, caches, queues, pub/sub concepts, and container technologies - Familiarity with SCRUM/Agile development methodology and strong communication skills Preferred Qualifications: - Master's degree in Computer Science, Electrical or Computer Engineering - Experience working alongside Data Scientists to productize AI/ML Models - Knowledge of developing LLMops solutions for generative AI using frameworks like LangChain, LlamaIndex, and conversational Agents using Azure AI Services or similar services,

The Applications Development Technology Lead Analyst is a senior-level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. Your main objective will be to lead applications systems analysis and programming activities. In this role, you will have the following responsibilities: - Partner with multiple management teams to ensure appropriate integration of functions to meet goals, identify necessary system enhancements, and deploy new products and process improvements - Resolve high-impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards - Provide expertise in areas of applications programming and ensure application design adheres to the overall architecture blueprint - Utilize advanced knowledge of system flow to develop coding, testing, debugging, and implementation standards - Develop comprehensive knowledge of how different areas of business integrate to achieve goals - Provide in-depth analysis to define issues and develop innovative solutions - Serve as an advisor or coach to mid-level developers and analysts, allocating work as necessary - Assess risk when making business decisions, ensuring compliance with laws, rules, and regulations, and safeguarding Citigroup, its clients, and assets Additionally, you will be responsible for: - Leading the end-to-end development of scalable, modular SaaS components - Guiding and mentoring cross-functional development teams - Implementing cloud-native development practices - Collaborating with Architecture & Product teams - Migrating legacy components to modern service-based architecture - Establishing engineering standards and ensuring code quality and automation - Ensuring solutions meet performance benchmarks and SLAs Qualifications for this role include: - 6-10 years of relevant experience in Apps Development or systems analysis - Extensive experience in system analysis and programming of software applications - Experience in managing and implementing successful projects - Subject Matter Expert (SME) in at least one area of Applications Development - Demonstrated leadership and project management skills - Clear and concise written and verbal communication skills Education: - Bachelor's degree/University degree or equivalent experience - Master's degree preferred This job description provides a high-level review of the work performed, and other job-related duties may be assigned as required. If you require a reasonable accommodation to apply for a career opportunity, please review Accessibility at Citi.,

As a Senior RPA Developer with expertise in UiPath and Python, your primary responsibility will be to lead the end-to-end design and development of robust and scalable RPA solutions using UiPath Studio. You will be tasked with solving complex automation challenges by integrating Python scripts for advanced logic, APIs, file handling, and data parsing. Additionally, you will architect reusable components and RPA frameworks to enhance efficiency and reliability in automation processes. Your role will also involve managing the deployment lifecycle through UiPath Orchestrator, including handling assets, queues, triggers, and schedules. You will be expected to drive process discovery, engage in stakeholder discussions, and conduct automation feasibility assessments. It will be essential for you to implement enterprise-grade error handling, logging, monitoring, and security controls to ensure the smooth functioning of automation systems. Furthermore, as a Senior RPA Developer, you will play a crucial role in mentoring junior developers and establishing best practices in bot design, documentation, and versioning. Your expertise will be needed to integrate automation solutions with various systems such as Excel, PDFs, REST APIs, internal tools, and browser workflows. To excel in this role, you should possess a minimum of 4-8 years of RPA experience, with a strong command of UiPath and Python. A deep understanding of Orchestrator administration and workflow design patterns is essential. You should have hands-on experience in building bots from scratch rather than just modifying templates. Proficiency in Git, Jira, and CI/CD for bots, as well as secure credentials management, will be advantageous. Being comfortable working in lean teams and taking full ownership from discovery to production is a key requirement for this position. You should be a systems thinker who knows when to automate, when to script, and when manual intervention is necessary. Strong communication skills, a debug-first mindset, and diligent documentation practices are highly valued traits. Experience with email automation, Excel macros, PDF scraping, API-first bot design with webhook triggers or polling, and exposure to DevOps for RPA will be considered as additional assets for this role. Any previous work in trading or financial domain automation will also be beneficial.,

As the Vice President of Engineering at Teradata in India, you will be responsible for leading the software development organization for the AI Platform Group. This includes overseeing the execution of the product roadmap for key technologies such as Vector Store, Agent platform, Apps, user experience, and AI/ML-driven use-cases. Your success in this role will be measured by your ability to build a world-class engineering culture, attract and retain technical talent, accelerate product delivery, and drive innovation that brings tangible value to customers. In this role, you will lead a team of over 150 engineers with a focus on helping customers achieve outcomes with Data and AI. Collaboration with key functions such as Product Management, Product Operations, Security, Customer Success, and Executive Leadership will be essential to your success. You will also lead a regional team of up to 500 individuals, including software development, cloud engineering, DevOps, engineering operations, and architecture teams. Collaboration with various stakeholders at regional and global levels will be a key aspect of your role. To be considered a qualified candidate for this position, you should have at least 10 years of senior leadership experience in product development or engineering within enterprise software product companies. Additionally, you should have a minimum of 3 years of experience in a VP Product or equivalent role managing large-scale technical teams in a growth market. You must have a proven track record of leading agentic AI development and scaling AI in a hybrid cloud environment, as well as experience with Agile and DevSecOps methodologies. Your background should include expertise in cloud platforms, data harmonization, data analytics for AI, Kubernetes, containerization, and microservices-based architectures. Experience in delivering SaaS-based data and analytics platforms, modern data stack technologies, AI/ML infrastructure, enterprise security, and performance engineering is also crucial. A passion for open-source collaboration, building high-performing engineering cultures, and inclusive leadership is highly valued. Ideally, you should hold a Master's degree in engineering, Computer Science, or an MBA. At Teradata, we prioritize a people-first culture, offer a flexible work model, focus on well-being, and are committed to Diversity, Equity, and Inclusion. Join us in our mission to empower our customers and drive innovation in the world of AI and data analytics.,

As the Vice President of Engineering at Teradata, you will be responsible for leading the India-based software development organization within the AI Platform Group. Your main focus will be on executing the product roadmap for key technologies such as Vector Store, Agent platform, Apps, user experience, and AI/ML-driven use-cases at scale. Success in this role will involve building a world-class engineering culture, attracting and retaining top technical talent, accelerating hybrid cloud-first product delivery, and driving innovation that brings measurable value to customers. You will be leading a team of over 150 engineers with the goal of helping customers achieve outcomes with Data and AI. Collaboration with Product Management, Product Operations, Security, Customer Success, and Executive Leadership will be key aspects of your role. Additionally, you will work closely with a high-impact regional team of up to 500 people, including software development, cloud engineering, DevOps, engineering operations, and architecture teams. To qualify for this position, you should have over 10 years of senior leadership experience in product development, engineering, or technology leadership within enterprise software product companies. You should also have at least 3 years of experience in a VP Product or equivalent role managing large-scale technical teams in a growth market. Experience in leading the development of agentic AI and scaling AI in a hybrid cloud environment is essential. Success in implementing and scaling Agile and DevSecOps methodologies, as well as modernizing legacy architectures into service-based systems, will be key qualifications. Your background should include expertise in cloud platforms, data harmonization, data analytics for AI, Kubernetes, containerization, and microservices-based architectures. Experience in delivering SaaS-based data and analytics platforms, familiarity with modern data stack technologies, AI/ML infrastructure, enterprise security, data governance, and API-first design will be beneficial. Additionally, a track record of building high-performing engineering cultures, inclusive leadership teams, and a passion for open-source collaboration are desired qualities. A Masters degree in engineering, Computer Science, or an MBA is preferred for this role. At Teradata, we prioritize a people-first culture, embrace a flexible work model, focus on well-being, and are committed to Diversity, Equity, and Inclusion. Join us in our dedication to fostering an equitable environment that celebrates individuals for all aspects of who they are.,