• Design, build, and operate production grade AI agents • Lead development of scalable AI and data services • Serve as internal expert on Snowflake Cortex • Apply modern agent architecture patterns to build reliable and cost efficient AI systems • Partner with Analytics & Insights team to design and maintain semantic layers • Build and maintain scalable data pipelines, transformations, and models using Snowflake, dbt, Airflow • Collaborate across teams to translate ambiguous business problems into designed AI and data solutions • Establish engineering standards for agentic systems

Title: Senior AI Engineer Location: New York United States Job Description: Macmillan is one of the Big 5 Publishers with mission-critical systems running royalties, distribution, and the supply chain that books move through from manuscript to consumer. Those systems cannot be turned off. They also cannot stay as they are. The organization has committed to a multi-year modernization of its core technology platforms, the build of a Publishing Operating System that enables imprints to operate more efficiently, and the productionization of AI capabilities across the publishing lifecycle. This is a rare opportunity to help redefine the technology foundation of a global publishing company in the AI era. This is a role for someone who has built and shipped AI-powered products at scale and now wants to shape the technical future of an industry that is being fundamentally transformed by AI. THE ROLE As a Senior AI Engineer (Full-Stack / Applications), you will design, build, and operate production-grade, cloud-native applications with AI at their core. This role sits at the intersection of strong software engineering and deep AI expertise, with a focus on turning state-of-the-art AI capabilities into robust, scalable, and high-quality user-facing products. This role prioritizes deep AI knowledge alongside strong software engineering skills to ensure an effective utilization of AI capabilities in production systems. You will work across the full lifecycle of AI-powered systems: from evaluating and optimizing models, to integrating them into end-to-end applications, to deploying, monitoring, and iterating on them in production. Candidates may bring deeper expertise in either application development or applied AI, and we value engineers who are excited to collaborate and grow across disciplines. We do not expect candidates to match every technology or qualification listed below. Strong candidates will bring deep expertise in some areas alongside curiosity, adaptability, and strong collaboration skills. In this role you will be flexibly assigned to short-term PoC projects, mid-term rapid MVP projects and long-term product development, based on your skills, interests, and company priorities. Our current and future tech-stack: Google Cloud, AWS, Firebase, Python, Typescript, Django, Terraform, Github, Cloud Firestore, EventArc, PubSub, GCIP, Cloud Storage, Cloud Functions v2, React, BigQuery, Github Actions, commercial AI services, Open Source AI Models, Langfuse, Snowflake, PostgreSQL. WHAT YOU WILL BE DOING - Own AI-powered features end-to-end, from scoping, design and requirements engineering to feature evaluation, deployment and operation. - Design, build and maintain cloud-native, event-driven AI applications across the full stack. - Evaluate, integrate, and optimize AI models for production use, balancing quality, latency, reliability and cost. - Collaborate effectively with cross-functional team members, including non-technical stakeholders, to refine requirements and align technical solutions with business objectives. - Build and maintain robust AI inference, evaluation, and monitoring pipelines. - Develop and implement robust, automated AI application evaluation frameworks. - Analyze AI application performance data and experiments, using insights for data-driven improvements. - Operate and improve production systems, taking ownership of reliability, quality, and technical debt. - Stay current with AI advancements and share knowledge to upskill the team. - Plan, track, and break down work effectively in an agile team. - Provide technical leadership, drive design reviews, write ADRs and contribute to hiring and onboarding. - Participate in on-call rotations, incident response and post-mortems for AI-powered systems and help define SLOs and error budgets. WHAT WE ARE LOOKING FOR - Pragmatic, result-oriented analytical problem solving skills that can overcome ambiguity. - Friendly, concise, audience-oriented communication in written and spoken form (English) with effective asynchronous communication. - Self-organized, purpose-driven individual that likes to collaborate with and enable their team. - A T-shaped engineer with strong general software engineering and AI skills, paired with deep expertise in at least one area: - Frontend: Advanced experience with React and TS, building high-quality, user-facing apps. - Backend: Deep experience designing and operating scalable, event-driven Python systems in cloud-native environments. - AI: In-depth knowledge of frontier AI models, evaluation, integration into AI-powered product features, and production best practices. - Strong theoretical understanding and practical experience with current AI model internals. - Proven experience with AI model deployment & utilization strategies, evaluation methodologies, and monitoring frameworks in production environments. - Proven experience owning features end-to-end, from technical design to production. - Strong understanding of how to integrate AI into production systems, including the challenges of non-deterministic behavior. - Solid understanding and practical application of MLOps and LLMOps best practices for AI applications. - Familiarity and hands-on experience with major AI service providers and their offerings. - Working knowledge of fine-tuning methods and their appropriate application. - Strong software engineering skills with the ability to bridge AI research/concepts and robust, production-ready engineering implementations. - Experience breaking down complex AI objectives into requirements & actionable tasks. - Experience leveraging and refining agile practices and processes within an AI/ML team context, including effective requirements, design, and code reviews. - Proven experience in quickly assessing and adopting new technologies & frameworks. - Able to implement Clean Architecture & Onion Architecture principles. - Experience building and operating cloud-native systems, ideally on Google Cloud / Firebase with solid DevOps and MLOps fundamentals, including CI/CD, observability, and Infrastructure as Code. - Working knowledge of AI safety and security. - Solid testing discipline across the stack. - Mentorship and technical-leadership experience: growing other engineers, leading design reviews, and influencing technical direction across teams. - Working knowledge of AI safety and security: OWASP Top 10 for LLMs, prompt injection, data exfiltration risks, content moderation, and PII / GDPR handling. - Solid testing discipline across the stack - unit, integration, and contract tests for both deterministic code and AI components. - Experience operating production systems on-call WHAT WE'D LOVE TO SEE - Experience in the publishing or media industry - Experience with our entire TechStack - Experience with MLOps on Vertex AI & Weights and Biases - Experience in applied research - Experience applying & implementing SRE methodologies - Advanced understanding of ML, LLMs and trends in the AI market - Specialized, deep expertise in a relevant area. The salary range for this position is $150,000 - $160,000. This position is classified as remote but is tied to our New York, NY office located at 120 Broadway. Employment is subject to New York State tax withholding under applicable regulations. Macmillan Publishers is the U.S. trade company that is part of the Holtzbrinck Publishing Group, a large family-owned group of media companies headquartered in Stuttgart, Germany. Holtzbrinck Publishing Group's publishing companies include prominent imprints around the world that publish a broad range of award-winning books for children and adults in all categories and formats. U.S. publishers include Celadon Books, Farrar, Straus and Giroux, Flatiron Books, Henry Holt & Company, Macmillan Audio, Macmillan Children's Publishing Group, The St. Martin's Publishing Group, and Tor Publishing Group. In the UK, Australia, India, and South Africa, companies in the Holtzbrinck Publishing Group publish under the Pan Macmillan name. The German publishing company, Holtzbrinck Deutsche Buchverlage, includes among its imprints S. Fischer, Kiepenheuer & Witsch, Rowohlt, and Droemer Knaur. Macmillan is proud to be an equal opportunity employer consistently striving to foster a culture where everyone belongs. We welcome applicants of all backgrounds and identities. Qualified applicants are evaluated without regard to race, color, religion, age, ethnicity, national origin, sex, sexual orientation, gender identity or expression, disability status, physical ability, neurodiversity, genetic information, protected veteran status, family and economic status and background or any other characteristic protected by federal, state, or local law. We prohibit discrimination of any kind and will provide reasonable accommodations to qualified individuals with disabilities in accordance with applicable law.

Role Description We are seeking a GenAI / Applied AI Software Engineer to join one of our client's team and contribute to ongoing AI and automation initiatives within contact center and BPO environments. This role is ideal for a hands-on engineer who enjoys building real-world AI solutions in production — not just prototypes. You will work on voice AI, automation pipelines, data processing, and AI-powered customer experience solutions in a multi-cloud environment. You’ll collaborate with a small, senior team while being trusted to operate autonomously and ship practical solutions. What You’ll Work On - AI-powered voice agents and conversational AI - Sentiment analysis and conversation intelligence - Backend automation and workflow orchestration - AI-assisted redaction of sensitive data (e.g., credit cards) - Data pipelines feeding AI systems - Integration of AI tools into existing enterprise systems - Design and implement applied AI solutions in production environments - Integrate LLMs, AI services, and automation tools into business workflows - Collaborate on system architecture across multi-cloud environments (AWS/Azure) - Build scalable, secure, and compliant solutions - Evaluate and integrate new AI tools pragmatically and cost-effectively - Contribute code directly and participate in technical decision-making Qualifications - 5+ years backend/software engineering experience (Python preferred) - Proven experience implementing AI solutions in real business contexts - Experience with APIs and system integrations (FastAPI or similar) - Familiarity with cloud environments (AWS and/or Azure) - Understanding of data privacy and security best practices - Ability to work independently with minimal onboarding - Strong problem-solving mindset and pragmatic thinking - Experience in contact centers, BPO, or CX tech - Familiarity with workflow tools (Power Automate, Logic Apps, n8n) - Familiarity with LLM-based applications and concepts like Retrieval-Augmented Generation (RAG) Requirements - Nice-to-have: Experience with Amazon Connect or voice AI systems - Exposure to compliance frameworks (SOC, PCI) - C# experience

Role Description We're looking for an AI Engineer to design, build, and operate production-grade AI and Generative AI solutions across the company. This is a hands-on engineering role: you'll turn architecture and business requirements into working, scalable systems - including LLM applications, AI agents, RAG pipelines, and integrations with our enterprise platforms. The role has a strong emphasis on Microsoft Azure and the Microsoft Copilot ecosystem, which are our primary enterprise platforms. Key Responsibilities - Design and implement AI-driven solutions that automate business processes, reduce manual effort, and improve service delivery across the organization. - Build production-grade GenAI applications — LLM-powered features, AI agents, copilots, and orchestration layers — translating architectural patterns into working code. - Contribute to PoCs and pilots, rapidly prototyping new capabilities and bringing them to a production-ready state when validated. - Develop and integrate AI agents and multi-agent systems using established orchestration frameworks. - Build APIs and microservices that expose AI capabilities to internal teams and products, following architecture and security standards. - Integrate AI solutions with enterprise platforms (e.g., CRM, ERP, ITSM, data warehouse, identity, observability stack) via APIs, events, and connectors. - Ensure designs support scale, reliability, and change management — versioning, backward compatibility, and clear contracts. - Contribute to responsible AI practices and internal policy development by translating principles into engineering standards, reusable patterns, and reference implementations. - Implement governance and security controls in code, including: data classification and PII handling, prompt injection defenses and content filtering, audit logging and traceability, and RBAC/least-privilege access patterns. Qualifications - 3+ years of professional software engineering experience, with 1–2 years building and shipping AI/ML or Generative AI solutions in production. - Proven track record of delivering AI features that run in production with real users. - Hands-on experience in enterprise environments: security, compliance, integrations, and scale. - LLMs & GenAI: deep practical experience with foundation models, prompt engineering, tool/function calling, structured outputs, and context management. - Agents & orchestration: hands-on experience building agents, copilots, or multi-agent workflows. - Microsoft Azure: deploying and operating AI workloads on Azure — specifically Azure OpenAI Service, Azure AI Foundry, Azure AI Search, and related services. - Microsoft Copilot ecosystem: extending or integrating Microsoft 365 Copilot; building custom copilots and agents with Microsoft Copilot Studio. - Python: strong production-quality Python — typing, testing, packaging, and async patterns. - APIs & services: REST and/or gRPC; event-driven patterns; API design and versioning. - MLOps fundamentals: experiment tracking, model and prompt versioning, automated evaluation, and monitoring of AI systems in production. - Multi-model experience: familiarity with working across LLM providers (e.g., Azure OpenAI, third-party models via Azure AI Foundry) and adapting to provider-specific patterns such as tool use, structured outputs, and long-context handling. - Experience with embedded/on-platform AI tooling such as ServiceNow Now Assist or similar ITSM AI capabilities. - Strong communication skills — able to explain technical decisions to both engineers and non-technical stakeholders. - Pragmatic, delivery-oriented mindset; comfortable balancing speed of iteration with production quality. - Fluency in English, written and spoken. Benefits - A culture built on trust and accountability - giving you the freedom and autonomy to be successful and make an impact. - Balance - with our Flexible Leave Paid Time Off policy, remote working opportunities, Global Wellbeing Days, and other great benefits. - Growth opportunities - we provide the tools and guidance required so that you can focus on what really matters to you and so, ultimately, you can achieve your best work. - Talented colleagues, role models and mentors - work, learn and be inspired by some of the best talent in the software industry. - A commitment to sustainability - with initiatives such as our Environmental, Social, and Governance strategy and Act4Good programme. - A safe and inclusive working environment – supported by our Employee Resource Groups, which are open to all. Company Description We are a people-first community that nurtures all the areas that surround your working experience. With us, you’ll be surrounded by a high-performance team that supports your authentic self and celebrates your uniqueness. We believe that ‘How work should feel’ is an evolving statement. Work goes beyond tasks and everyday responsibilities it’s about feeling valued, empowered, promoted, impactful, seen, and appreciated. We are reimagining how work makes people feel.