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.

Role Description Global Head of AI (Rapidly growing consumer tech firm) - Mandarin professional working level proficiency (HSK 5 and above) is required due to frequent communication with North Asian stakeholders. - Location: Singapore (Fully Remote) This role offers the opportunity to: - Define AI strategy at a global scale - Build world-class AI organizations - Drive measurable business outcomes through production-grade AI systems The ideal candidate will have strong technical depth, commercial acumen, and proven experience leading large-scale AI organizations within consumer technology, fintech, internet, e-commerce, gaming, marketplace, social media, super-app, or other large-scale digital ecosystems. Responsibilities - AI Strategy & Organizational Leadership - Define and execute the company’s global AI vision, strategy, and long-term technology roadmap. - Partner with executive leadership to identify high-impact AI opportunities across products, customer experiences, operations, growth, and platform capabilities. - Build, scale, and lead a world-class AI organization spanning: - AI Engineering - Machine Learning Engineering - Data Science - Applied Research - AI Product - Platform Engineering - Drive AI adoption across the organization, ensuring alignment with business objectives and measurable commercial outcomes. - Establish engineering excellence, governance frameworks, responsible AI practices, security standards, and operational scalability. - Recommendation, Search & Personalization - Lead the development of intelligent systems powering user engagement, customer experiences, and business growth, including: - Recommendation systems - Personalization engines - Search and discovery platforms - Retrieval systems - Ranking and re-ranking algorithms - User intent modelling - Real-time decisioning systems - Feedback loop optimization - Experimentation platforms - Lifecycle engagement and retention frameworks - Generative AI & Agentic AI - Drive the next generation of AI-powered capabilities, including: - Large Language Model (LLM) applications - Enterprise AI assistants - Conversational AI experiences - Agentic AI workflows - Multi-agent systems - Enterprise knowledge platforms - RAG-based solutions - AI copilots - Intelligent automation systems - AI-enhanced operational tooling - AI Platform & Infrastructure - Develop scalable AI infrastructure supporting model training, deployment, evaluation, monitoring, governance, and lifecycle management. - Build reusable AI services and platform capabilities to accelerate AI adoption across the organization. - Establish best-in-class MLOps, AI Operations, and AI Engineering practices. - Drive adoption of AI-native software development workflows and engineering productivity tooling. - Business Impact & Product Innovation - Partner with Product, Engineering, Operations, Commercial, Customer Experience, and Executive Leadership teams to: - Improve user engagement and retention - Enhance customer experiences through personalization - Drive intelligent automation and operational efficiency - Unlock new revenue opportunities through AI-enabled products - Accelerate innovation through AI-native capabilities - Translate AI investments into measurable business outcomes Qualifications - Bachelor’s Degree or above in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Engineering, or related disciplines. - 10+ years of experience within Artificial Intelligence, Machine Learning, Data Science, Applied AI Engineering, or related fields. - Proven experience deploying AI systems into large-scale production environments serving millions of users. - Deep expertise in recommendation systems, personalization, search, ranking, intelligent decisioning, or related AI domains. - Strong experience building and deploying production-grade LLM applications and modern AI workflows. - Experience designing scalable AI platforms, MLOps ecosystems, AI infrastructure, or enterprise AI tooling. - Strong product mindset and demonstrated ability to connect AI initiatives to measurable business impact. Requirements - Demonstrated experience leading large-scale AI, Machine Learning, Data Science, or Applied AI organizations within global technology companies. - Experience managing managers and leaders. - Proven track record leading multi-layered organizations where multiple team leaders or department heads report directly into the candidate. - Experience managing organizations comprising multiple independent teams across areas such as AI Engineering, Machine Learning, Data Science, Recommendation Systems, Search, Personalization, Platform Engineering, AI Infrastructure, MLOps, or Applied Research. - Experience leading organizations of approximately 30+ professionals, with strong preference for candidates who have managed 50-100+ person organizations through a managers-of-managers structure. - Demonstrated success building organizations from the ground up, scaling teams internationally, and developing future leaders. - Experience operating at executive leadership level with responsibility for strategy, investment decisions, organizational design, talent planning, and cross-functional alignment. Benefits - Opportunity to define AI strategy at global scale. - Executive visibility and significant organizational influence. - Ownership of large-scale AI, recommendation, personalization, and AI platform initiatives. - Opportunity to build next-generation AI products used by millions of users globally. - Fully remote working arrangement based in Singapore. - Competitive compensation package including cash bonus and long-term incentives. - Fast-paced, entrepreneurial, and highly international environment.

Role Description This role is based at one of our corporate offices in Memphis, TN, McLean, VA, Dallas, TX or Remote. This is your chance to be a part of an in-house Technology team that's creating consumer-facing, cutting-edge technologies revolutionizing the hospitality industry around the world! As a Lead Cloud AI Platforms Engineer, you will bring your technical skills to a hospitality company with an award-winning culture. On the Cloud Engineering team reporting to the Senior Manager Cloud Platforms, you will support projects including projects for Hilton's Data Science, Distribution, and Call Center teams. What you'll do during a typical day: - Be the lead technical expert on a team of Cloud AI Platform Engineers. - Communicate with team members and keep project delivery on target. - Identify opportunities for AI, ML and data infrastructure automation using Infrastructure as Code, improvements in configuration management, monitoring, alerting, and create solutions for complex cloud infrastructure challenges. How you'll collaborate with others: - Support Hilton's Cloud AI and ML platforms including LLM application development, prompt engineering, data engineering, LLM safeguards, testing, and go-to-market strategies. - Support the Hilton Hybrid Cloud environment, including escalation support for operations and support teams, participate in on-call rotations, and work alongside other engineering teams to ensure adherence to Hilton standards and processes. - Understand Hilton's security policies and provide detailed guidance on vulnerability management to the cloud estate. Projects you'll take ownership of: - Be a technical expert to different parts of the business, consult business and application teams on AI and ML cloud patterns, and build AI and ML solutions using infrastructure as code tools (IAC) and processes and other popular cloud tools. - Assist teams to deploy workloads into AWS Bedrock, AWS SageMaker Studio, OpenSearch, and other cloud AI and ML technologies. Qualifications - Five (5) years of professional work experience in Technology or related field. - Two (2) years of professional work experience in Machine Learning, Artificial Intelligence, Deep Learning, or Data Science. - Experience with AWS cloud architecture, especially its core services (e.g., EC2, S3, EKS, RDS, networking) and an understanding of its AI, ML and data offerings. - Knowledge of AWS Bedrock, SageMaker AI, LLMs, MCP, agentic frameworks, and other cloud machine learning technologies, deployment patterns and wide variety of AWS components. - Experience with containerization and Kubernetes and automation technologies and processes using CI/CD tools. - Experience in cloud platform engineering and tooling, including Terraform, AWS Command Line, Linux shell scripting, or Python including common AI and ML libraries. - Familiarity with cloud costing and optimization. - Solid understanding of cloud security and networking concepts. - Travel up to 10%. Requirements - Bachelor's Degree, or Associate's Degree plus 6+ years of Technology related experience, or High School Degree/GED plus 12+ years of Technology related experience. - Seven (7) + years of professional work experience in Data Science, Technology or a related field. - FinOps certifications (Practitioner, Engineer, or Professional). - Familiarity with AI and ML technologies like LLM app development, prompt engineering, data engineering, AI and ML security, logging and observability. Benefits - Incredible travel perks – Enjoy 110 nights of deeply discounted travel, with room rates as low as $40/night at our world-class hotels through our Go Hilton travel program. - Own a piece of Hilton – Through our employee stock purchase program (ESPP), you can invest in Hilton shares at a 15% discount to help build your financial future. - Paid parental leave – Because family matters. We offer paid leave for eligible Team Members, including partners and adoptive parents. - Personalized caregiving support – Access dedicated caregiving concierge services to help navigate caregiving for yourself and your loved ones. - Crisis concierge – In times of loss, our Crisis Concierge offers a single, compassionate point of contact for both practical support and emotional care. - Mental health resources – Your wellbeing comes first. Eligible Team Members can access free counseling and support through our best-in-class Employee Assistance Program (EAP). - Generous paid time off (PTO) – Recharge, relax, and take time for what matters most. - Health & welfare benefits – From checkups to dental cleanings to new glasses, we offer a variety of health plans that keep you and your family covered. - Financial security for your future – Our retirement plans make it easier to save for what's next.