Principal Technical Architect - HR Ecosystem at Toast

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

15 Apr, 26

Salary

0.0

Posted On

15 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Architecture, Cloud Proficiency, Technical Leadership, MLOps, Data Science, Software Engineering, Ethical AI, Systems Architecture, Performance Optimization, Stakeholder Communication, Problem-Solving, Continuous Learning, Agile Methodologies, Generative AI, Big Data, Collaboration

Industry

Software Development

Description

Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. We're looking for an AI Architect to design and lead the implementation of our AI infrastructure for People Products and define the overall technical strategy for the entire People Products ecosystem. This crucial role demands deep technical expertise and strategic vision. You will lead the creation of the People team’s AI architecture, utilizing various frameworks and deployment models to devise and execute an eﬀective AI strategy. You’ll be part of our People and Places team whose ambition is that our People Experience is a key diﬀerentiator and reason for candidates to choose Toast and employees to stay at Toast, as much as our Products are today. Our People Products team goal is to amplify the People team’s ambition by developing AI-powered conversational self-service products to deliver personalized employee experiences and insights in the flow of work through cloud-based scalable, integrated, compliant solutions. You will partner closely with Product Managers, Third-Party Tools (3PT) Specialists, Engineering, Data Science, and UX. In this high-impact role, you will be the creative and technical force who converts employee needs into scalable and eﬀective AI solutions. You'll focus on optimizing AI technology integrations to enhance operational eﬀiciency, boost productivity, and drive innovation - all while adhering to the highest ethical standards. You'll join a team that is redefining how a mission-driven company operates and scales its most important asset: its people. A day in the life (Responsibilities) As the AI Architect, you are the lead technical planner and decision-maker, and a key contributor to the development of our AI solutions. Your responsibilities will extend beyond high-level design; you will actively participate in the engineering lifecycle to build, prototype, and validate our core AI components. This role requires hands-on development to establish technical standards and build the foundational systems that accelerate delivery. Your primary focus areas will include: Strategic Planning: Partner with Product Management to define and articulate the comprehensive AI technical strategy and roadmaps, ensuring precise alignment with overarching company objectives. Systems Architecture: Architect end-to-end AI systems, including data pipelines, model training and deployment infrastructure, and APIs. All designs must prioritize scalability, security, high availability, fault tolerance, and operational eﬀiciency. Platform-First Mindset: Design and build core AI services and infrastructure as a reusable platform, enabling engineering and data science teams to rapidly build and deploy new 0-1 AI-powered features. Enterprise & Ecosystem Architecture: Lead the integration of AI tools with existing enterprise systems (e.g., HR platforms, intranet, collaboration tools) and provide architectural guidance for the broader People Products ecosystem, ensuring all components (AI and non-AI) work together as a cohesive, scalable, and secure platform. Requirements Translation: Translate complex business requirements and stakeholder goals into clear, actionable technical specifications. Technology Evaluation: Conduct thorough research and evaluation to select optimal tools, platforms, and frameworks. This involves balancing performance, cost, and long-term compatibility. Performance Optimization: Establish and manage processes for the continuous monitoring and optimization of AI systems to enhance accuracy, performance, and cost-eﬀectiveness. Ethical AI & Governance: Champion and enforce ethical AI principles. You will be responsible for ensuring all solutions are fair, transparent, and rigorously protect employee data privacy in accordance with compliance standards. This includes proactively collaborating with security and risk leaders to foresee and mitigate potential risks associated with AI deployment. Technical Project Leadership: Oversee the technical execution of AI projects from conception to completion, ensuring alignment with the defined architecture and roadmap, and coordinating with cross-functional teams to meet delivery milestones. Technical Leadership: Mentor and provide technical guidance to AI professionals, fostering a creative, collaborative, and high-performance team environment. MLOps Standardization: Define and champion best practices for the full MLOps lifecycle, including version control, automated testing, and reproducible deployment pipelines. Stakeholder Communication: Clearly and eﬀectively communicate and advocate for complex AI concepts, architectural decisions, risks, and opportunities to non-technical stakeholders and senior leadership to inform strategic-decision making. Cross-Functional Collaboration: Work in close partnership with data scientists, software engineers, designers, and product managers to co-develop innovative solutions on our AI platform. Continuous Research: Maintain expert-level knowledge of emerging trends, academic research, and advancements in AI/ML to identify and capitalize on new opportunities. What you'll need to thrive (Requirements) Education: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, IT , Software Engineering, or a related technical field. A PhD may be beneficial. Experience: At least 10 years of demonstrable experience designing, building, and leading complex technical projects, with a deep specialization in AI/ML from conception through to production. Technical Acumen: Expert-level understanding of fundamental computer science concepts, including data structures, machine learning algorithms, deep learning frameworks, statistics, and advanced data analysis. Professional Background: Prior experience in roles such as AI Engineer, Software Engineer, Cloud Engineer, or Data Scientist is highly valued. Cloud Proficiency: Deep comfort with at least one major cloud platform (AWS, Google Cloud, or Azure) and its associated AI/ML services and infrastructure. Leadership: Capability to lead, mentor, and manage cross-functional teams, driving AI initiatives and influencing senior leadership. Communication: Exceptional written and verbal communication skills, with the ability to eﬀectively collaborate with stakeholders (technical and non-technical) and present complex findings. Problem-Solving: Strong analytical and problem-solving capabilities, with a proven capacity for addressing ambiguous challenges and considering long-term strategic implications. Business Acumen: Demonstrated ability to translate high-level business objectives into robust, scalable technical architectures. Continuous Learning: A strong commitment to continuous professional development and staying abreast of the rapidly evolving AI landscape.● Attention to Detail: Meticulous attention to detail, particularly regarding system reliability, security, and data governance. (Nice-to-Haves) Generative AI Specialization: Specific, hands-on experience with Generative AI, Large Language Models (LLMs), and agentic AI systems. Big Data Expertise: Familiarity with big data processing tools like Hadoop, Spark, and Kafka. Platforms: Experience building internal developer platforms, SDKs, or tools that serve an engineering and data science audience. ML Operations (MLOps): Deep knowledge of the workflow and pipeline architectures of ML and deep learning workloads, and practical application of MLOps principles for managing automated ML workflows. Software Engineering: A robust background in software engineering and DevOps, with a focus on writing clean, testable, and maintainable code. Methodologies: Familiarity with Agile software development practices and microservices architecture. Specialization: Experience in niche domains such as computer vision, reinforcement learning, or robotics. AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture. Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits. Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Responsibilities

As the AI Architect, you will lead the technical planning and decision-making for AI solutions, actively participating in the engineering lifecycle to build and validate core AI components. You will also oversee the technical execution of AI projects, ensuring alignment with the defined architecture and coordinating with cross-functional teams.