Halo believes in innovation by inclusion to solve digital problems . As an international agency of over 200 people specializing in interactive media strategy and development, we embrace equity and empowerment in a serious way. Our interdisciplinary teams of unique designers, developers and entrepreneurial minds with a variety of backgrounds, viewpoints, and skills connect to solve business challenges of every shape and size. We empathize to form deep, meaningful relationships with our clients so they can do the same with their audience. Working at Halo feels like belonging . Learn more about our philosophy, benefits, and team at https://halopowered.com/As an AI Architect, you will lead the design of scalable, secure, and modern technology solutions, leveraging artificial intelligence, cloud platforms, and microservices—while ensuring alignment with AI governance principles, agile delivery, and platform modernization strategies Role Overview Primarily focussing on the earlier stages of the software development life cycle, you will collaborate with our Portfolio Delivery function to understand customer and technical needs and design architectural solutions to meet them that are innovative, scalable, reusable and aligned with Client's technology standards and conventions Following project approval, you will form part of the Pod Leadership team tasked with bringing your architectural vision to fruition utilizing agile methodologies. You will elaborate your architecture designs and collaborate with our infrastructure and development teams to enable implementation of them with light touch oversight Responsibilities Work with our partners to understand business and technology problems or opportunities Provide process, guidance and governance on technology obsolescence, component re-use and platform modernisation Design, document and communicate solution designs that accommodate the Agile Principles of fail fast and provide the resilience necessary to accommodate changing and fluid requirements Incorporate reuse, standardisation and security-by-design into your solution designs to simplify, secure and accelerate technology delivery Be innovative in your design thinking and use your expertise to influence the Client technology roadmap Take your architectural designs through our on boarding processes to ensure they meet Clients standards and conventions Participate in architecture reviews as part of Client's Architecture Assurance process Support the implementation of architectural designs - from infrastructure set up through to delivery - as necessary Provide support for our teams and business partners for cost estimations during budget cycles Empower the development teams to deliver your architectural designs with a light touch approach Be an involved member in our technology community, championing the latest technologies and trends within Client and the wider industry, sharing your knowledge, successes and learnings with your colleagues Bring a shift left mentality, ensuring that automation and efficiencies are enabled through the solution design Required Skills And Tools MEAN stack, .Net core, Python or any other middleware technologies Multi Factor Authentication Single Sign On (OAuth, SAML) Containerisation / Kurbenetes Microservice based architecture Secure By Design concepts Secure DevOps Exposure to Big Data / Data Lake / BI Tools Application Performance Monitoring (APM) techniques Agile methodologies experience Recognized document standards (C4, UML, Archimate) Self-motivated to excel in a remote position, collaborating effectively with a remote team You are a self-starter; you can take initiative without waiting for direction The ability to work in a fast-paced environment with changing priorities and deadlines You are used to working and communicating with both business and technical stakeholders at varying levels of seniority Extensive experience in designing and communicating technology solutions that can be traced back to requirements An inquisitive mind set with a track record of seeking out and implementing new technologies and architectural patterns Requirements Required AI Competency: AI Evolution & Business Impact: Analyze the evolution of AI technology and its implications for business strategies to identify opportunities for innovation and efficiency AI Governance, Security, Compliance, and Ethics: Ensure compliance with AI governance frameworks, focusing on bias detection, data privacy, and regulations (e.g., GDPR, HIPAA) Generative AI, LLMs, NLP, & Computer Vision: Utilize generative AI and large language models (LLMs) to create intelligent applications, with knowledge of models like GPT and Gemini, prompt engineering, and RAG integration AI-Augmented Development Engineering: Integrate AI tools into the software development lifecycle to enhance coding practices and code reviews (e.g., GitHub Copilot) Agentic AI & Autonomous Systems: Design autonomous systems using agentic AI to automate tasks and improve operational efficiency Cloud AI & ML Services: Utilize AI and ML services from major cloud platforms (AWS, Azure, Google Cloud) to build scalable, intelligent applications, including model training and deployment Machine Learning (ML) & Deep Learning (DL) Fundamentals: Apply ML and DL principles to design data-driven solutions that enhance business processes Continuous Learning & Collaboration: Stay open to learning about emerging AI tools and methodologies while collaborating effectively with data architects, AI engineers, and technical experts to design and implement intelligent solutions that meet business needs Benefits 100% RemoteWork Salary in USD Get to work on challenging projects for the U.S Show more Show less

Halo believes in innovation by inclusion to solve digital problems . As an international agency of over 200 people specializing in interactive media strategy and development, we embrace equity and empowerment in a serious way. Our interdisciplinary teams of unique designers, developers and entrepreneurial minds with a variety of backgrounds, viewpoints, and skills connect to solve business challenges of every shape and size. We empathize to form deep, meaningful relationships with our clients so they can do the same with their audience. Working at Halo feels like belonging . Learn more about our philosophy, benefits, and team at https://halopowered.com/ Good to have: Hands on with Docker and Kubernetes. Hands on experience into DScribe / Watcher APIs Experience with Vue js development. Hands-on experience with ANTRL grammar Hands-on experience with Selenium Java. Worked on database centric application development or in a product company Requirements 5+ years of software development in java 3+ years of hands-on experience with Spring boot application. The ability to write clean, maintainable code with proper test cases is a huge plus Good with database fundamentals (Stored Procedures/Functions, Triggers, Packages etc) and working knowledge of SQL ( PL/SQL, PL/pgSQL) for either PG or Oracle The ability to quickly learn new technology is desirable Benefits 100% Remote Work Salary in USD! Get to work on challenging projects for the U.S! Show more Show less

Halo believes in innovation by inclusion to solve digital problems . As an international agency of over 200 people specializing in interactive media strategy and development, we embrace equity and empowerment in a serious way. Our interdisciplinary teams of unique designers, developers and entrepreneurial minds with a variety of backgrounds, viewpoints, and skills connect to solve business challenges of every shape and size. We empathize to form deep, meaningful relationships with our clients so they can do the same with their audience. Working at Halo feels like belonging . Learn more about our philosophy, benefits, and team at https://halopowered.com/As an AI Architect, you will lead the design of scalable, secure, and modern technology solutions, leveraging artificial intelligence, cloud platforms, and microservices—while ensuring alignment with AI governance principles, agile delivery, and platform modernization strategies As a Data Scientist, you'll be part of a multidisciplinary team applying advanced analytics, machine learning, and generative AI to solve real-world problems across our consulting, health, wealth, and career businesses. You will collaborate closely with engineering, product, and business stakeholders to develop scalable models, design intelligent pipelines, and influence data-driven decision-making across the enterprise. Requirements Design, develop, and deploy robust machine learning models and data pipelines that support AI-enabled applications Apply exploratory data analysis (EDA) and feature engineering techniques to extract insights and improve model performance Collaborate with cross-functional teams to translate business problems into analytical use cases Contribute to the full machine learning lifecycle: from data preparation and model experimentation to deployment and monitoring Work with structured and unstructured data, including text, to develop NLP and generative AI solutions Define and enforce best practices in model validation, reproducibility, documentation, and versioning Partner with engineering to integrate models into production systems using CI/CD pipelines and cloud-native services Stay current with industry trends, emerging techniques (e.g., RAG, LLMs, embeddings), and relevant tools Required Skills & Qualifications 3+ years of experience in Data Science, Machine Learning, or Applied AI roles Proficiency in Python (preferred) and a strong grasp of pandas, NumPy, and scikit-learn Skilled in data querying, manipulation, and pipeline development using SQL and modern ETL frameworks Experience working with Databricks, including notebooks, MLflow, Delta Lake, and job orchestration Experience with Git-based workflows and Agile methodologies Strong analytical thinking, problem-solving skills, and communication abilities Exposure to Generative AI, LLMs, prompt engineering, or vector-based search Hands-on experience with cloud platforms (AWS, Azure, or GCP) and deploying models in scalable environments Knowledge of data versioning, model registry, and ML lifecycle tools (e.g., MLflow, DVC, SageMaker, DataBricks, or Vertex AI) Experience working with visualization tools like Tableau, Power BI, or Qlik Degree in Computer Science, Data Science, Applied Mathematics, or a related field Benefits 100% RemoteWork Salary in USD Get to work on challenging projects for the U.S Show more Show less

Halo believes in innovation by inclusion to solve digital problems . As an international agency of over 200 people specializing in interactive media strategy and development, we embrace equity and empowerment in a serious way. Our interdisciplinary teams of unique designers, developers and entrepreneurial minds with a variety of backgrounds, viewpoints, and skills connect to solve business challenges of every shape and size. We empathize to form deep, meaningful relationships with our clients so they can do the same with their audience. Working at Halo feels like belonging . Learn more about our philosophy, benefits, and team at https://halopowered.com/As an AI Architect, you will lead the design of scalable, secure, and modern technology solutions, leveraging artificial intelligence, cloud platforms, and microservices—while ensuring alignment with AI governance principles, agile delivery, and platform modernization strategies Overview We're seeking AI Engineers to help design, build, and deploy next-gen AI solutions across Mercer's global ecosystem. You will work on Generative AI, RAG pipelines, and AI agents that power internal tools, chatbots, and decision-support systems used by our consultants. This hands-on engineering role bridges full-stack software development and advanced AI techniques. Requirements Design and implement AI-driven applications, copilots, and conversational agents using LLMs (OpenAI, Anthropic, Azure OpenAI) Build and maintain RAG pipelines using text chunking, embeddings, and vector databases (e.g., MongoDB Atlas Vector Search, FAISS, Pinecone, Weaviate) Develop and optimize prompting strategies and agent reasoning logic Engineer LLM-based middleware integrations using Python and Node.js Contribute to full-stack application development using the MEAN stack (MongoDB, Express, Angular, Node.js) Support secure architecture by implementing MFA, OAuth flows, and containerized deployments Manage CI/CD pipelines using GitHub and Jenkins, and work with containerized deployments Collaborate with cross-functional teams (data scientists, product owners, platform engineers) to bring prototypes into production Maintain code quality, observability, and robustness with proper testing and documentation Required Skills & Qualification 2+ years of experience in AI/ML or full-stack software engineering Hands-on experience building LLM-based applications, RAG solutions, or AI agents Proficient in Python and/or Node.js and familiar with modern backend/middleware patterns Solid experience in MongoDB, including vector search capabilities (Atlas Vector Search preferred) Experience with MEAN stack (MongoDB, Express, Angular, Node.js) Familiarity with prompt engineering, embeddings, and retrieval pipelines Experience implementing or integrating Multi-Factor Authentication Comfortable using GitHub for source control and Jenkins for CI/CD automation Excellent problem-solving skills and the ability to communicate technical concepts Strong communication skills - able to explain AI concepts to non-technical stakeholders Good to have Experience with Databricks, model registries, and MLOps workflows Familiarity with LangChain, LlamaIndex, Dapr, or Azure AI Agent Service Prior work in AI observability, testing, and platform governance Understanding of cloud security, data governance, and compliance in AI systems Preferred Tools & Stack MEAN stack, Python, or any other middleware technologies Databricks (Nice to have), OpenAI, Azure OpenAI Vector Databases: MongoDB vector databases LangChain, LlamaIndex, or similar frameworks Git, CI/CD, Docker, and cloud platforms (especially Azure) Benefits 100% RemoteWork Salary in USD Get to work on challenging projects for the U.S Show more Show less

Halo believes in innovation by inclusion to solve digital problems . As an international agency of over 200 people specializing in interactive media strategy and development, we embrace equity and empowerment in a serious way. Our interdisciplinary teams of unique designers, developers and entrepreneurial minds with a variety of backgrounds, viewpoints, and skills connect to solve business challenges of every shape and size. We empathize to form deep, meaningful relationships with our clients so they can do the same with their audience. Working at Halo feels like belonging . Learn more about our philosophy, benefits, and team at https://halopowered.com/ We’re seeking AI Engineers to help design, build, and deploy next-gen AI solutions across Mercer’s global ecosystem. You will work on Generative AI , RAG pipelines , and AI agents that power internal tools, chatbots, and decision-support systems used by our consultants. This hands-on engineering role bridges full-stack software development and advanced AI techniques. What You’ll Do Design and implement AI-driven applications , copilots, and conversational agents using LLMs (OpenAI, Anthropic, Azure OpenAI). Build and maintain RAG pipelines using text chunking , embeddings , and vector databases (e.g., MongoDB Atlas Vector Search, FAISS, Pinecone, Weaviate). Develop and optimize prompting strategies and agent reasoning logic. Engineer LLM-based middleware integrations using Python and Node.js. Contribute to full-stack application development using the MEAN stack (MongoDB, Express, Angular, Node.js). Support secure architecture by implementing MFA , OAuth flows , and containerized deployments. Manage CI/CD pipelines using GitHub and Jenkins , and work with containerized deployments . Collaborate with cross-functional teams (data scientists, product owners, platform engineers) to bring prototypes into production. Maintain code quality, observability, and robustness with proper testing and documentation. Minimum Qualifications 2+ years of experience in AI/ML or full-stack software engineering. Hands-on experience building LLM-based applications , RAG solutions , or AI agents . Proficient in Python and/or Node.js and familiar with modern backend/middleware patterns. Solid experience in MongoDB , including vector search capabilities (Atlas Vector Search preferred). Experience with MEAN stack (MongoDB, Express, Angular, Node.js). Familiarity with prompt engineering , embeddings, and retrieval pipelines. Experience implementing or integrating Multi-Factor Authentication . Comfortable using GitHub for source control and Jenkins for CI/CD automation. Excellent problem-solving skills and the ability to communicate technical concepts. Strong communication skills – able to explain AI concepts to non-technical stakeholders. Preferred Tools & Stack MEAN stack, Python, or any other middleware technologies. Databricks (Nice to have), OpenAI , Azure OpenAI Vector Databases : MongoDB vector databases LangChain , LlamaIndex , or similar frameworks Git , CI/CD , Docker , and cloud platforms (especially Azure ) Benefits 100% Remote Work. Salary in USD! Get to work on challenging projects for the U.S! Show more Show less