minneapolis, minnesota, united states Hybrid / WFH Options
Cognizant
As a GoogleAI Solution Architect you will make an impact as the primary point of contact for all GoogleAI domain-related queries and issues. You will be a valued member of the team and work collaboratively with management, team members and client. You will be responsible for designing, building, and deploying scalable, robust, multi … that maximize modularity, reliability, and performance. You drive best practices for agent orchestration, inter-agent communication, state management, tool integrations, and cloud deployment (especially on GoogleCloud/VertexAI). Your role is at the intersection of architecture, AI/ML, dev tools, and systems engineering. You must have deep familiarity with generative … AI, agent frameworks, microservices, and distributed systems, as well as strong design ability to foresee complexity and orchestrate collaboration across agents. We believe hybrid/remote work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3-4 days a week in More ❯
Role: CoPilot Architect Location: London Role Summary As a Senior Architect You will define and drive HCLTech’s strategy for Microsoft 365 CoPilot and Agentic AI—serving as the principal architect for our highest-value clients. You’ll craft enterprise-scale CoPilot ecosystems, influence vendor roadmaps with Microsoft and OpenAI, and shape governance and best practices across our … AI & Cloud Native Labs network. Key Responsibilities 1. Strategic Architecture & Vision a. Establish the Centre of Excellence’s reference architecture for Copilot and Agentic AI, supporting multi-tenant, multi-region deployments. b. Align CoPilot and adjacent AI frameworks (GoogleVertexAI, AWS Bedrock, ServiceNow Agentforce) with HCLTech’s global transformation … workshops and steering committees to translate AI capabilities into strategic imperatives. 3. Vendor Ecosystem Leadership a. Forge strategic alliances with Microsoft CoPilot engineering, OpenAI research, GoogleCloudAI, AWS AI, and ServiceNow teams. b. Influence product roadmaps by providing enterprise requirements and market insights. 4. Governance, Compliance & Risk a. Define and enforce governance frameworks More ❯
Role: CoPilot Architect Location: London Role Summary As a Senior Architect You will define and drive HCLTech’s strategy for Microsoft 365 CoPilot and Agentic AI—serving as the principal architect for our highest-value clients. You’ll craft enterprise-scale CoPilot ecosystems, influence vendor roadmaps with Microsoft and OpenAI, and shape governance and best practices across our … AI & Cloud Native Labs network. Key Responsibilities 1. Strategic Architecture & Vision a. Establish the Centre of Excellence’s reference architecture for Copilot and Agentic AI, supporting multi-tenant, multi-region deployments. b. Align CoPilot and adjacent AI frameworks (GoogleVertexAI, AWS Bedrock, ServiceNow Agentforce) with HCLTech’s global transformation … workshops and steering committees to translate AI capabilities into strategic imperatives. 3. Vendor Ecosystem Leadership a. Forge strategic alliances with Microsoft CoPilot engineering, OpenAI research, GoogleCloudAI, AWS AI, and ServiceNow teams. b. Influence product roadmaps by providing enterprise requirements and market insights. 4. Governance, Compliance & Risk a. Define and enforce governance frameworks More ❯
Role: CoPilot Architect Location: London Role Summary As a Senior Architect You will define and drive HCLTech’s strategy for Microsoft 365 CoPilot and Agentic AI—serving as the principal architect for our highest-value clients. You’ll craft enterprise-scale CoPilot ecosystems, influence vendor roadmaps with Microsoft and OpenAI, and shape governance and best practices across our … AI & Cloud Native Labs network. Key Responsibilities 1. Strategic Architecture & Vision a. Establish the Centre of Excellence’s reference architecture for Copilot and Agentic AI, supporting multi-tenant, multi-region deployments. b. Align CoPilot and adjacent AI frameworks (GoogleVertexAI, AWS Bedrock, ServiceNow Agentforce) with HCLTech’s global transformation … workshops and steering committees to translate AI capabilities into strategic imperatives. 3. Vendor Ecosystem Leadership a. Forge strategic alliances with Microsoft CoPilot engineering, OpenAI research, GoogleCloudAI, AWS AI, and ServiceNow teams. b. Influence product roadmaps by providing enterprise requirements and market insights. 4. Governance, Compliance & Risk a. Define and enforce governance frameworks More ❯
Role: CoPilot Architect Location: London Role Summary As a Senior Architect You will define and drive HCLTech’s strategy for Microsoft 365 CoPilot and Agentic AI—serving as the principal architect for our highest-value clients. You’ll craft enterprise-scale CoPilot ecosystems, influence vendor roadmaps with Microsoft and OpenAI, and shape governance and best practices across our … AI & Cloud Native Labs network. Key Responsibilities 1. Strategic Architecture & Vision a. Establish the Centre of Excellence’s reference architecture for Copilot and Agentic AI, supporting multi-tenant, multi-region deployments. b. Align CoPilot and adjacent AI frameworks (GoogleVertexAI, AWS Bedrock, ServiceNow Agentforce) with HCLTech’s global transformation … workshops and steering committees to translate AI capabilities into strategic imperatives. 3. Vendor Ecosystem Leadership a. Forge strategic alliances with Microsoft CoPilot engineering, OpenAI research, GoogleCloudAI, AWS AI, and ServiceNow teams. b. Influence product roadmaps by providing enterprise requirements and market insights. 4. Governance, Compliance & Risk a. Define and enforce governance frameworks More ❯
london (city of london), south east england, united kingdom
HCLTech
Role: CoPilot Architect Location: London Role Summary As a Senior Architect You will define and drive HCLTech’s strategy for Microsoft 365 CoPilot and Agentic AI—serving as the principal architect for our highest-value clients. You’ll craft enterprise-scale CoPilot ecosystems, influence vendor roadmaps with Microsoft and OpenAI, and shape governance and best practices across our … AI & Cloud Native Labs network. Key Responsibilities 1. Strategic Architecture & Vision a. Establish the Centre of Excellence’s reference architecture for Copilot and Agentic AI, supporting multi-tenant, multi-region deployments. b. Align CoPilot and adjacent AI frameworks (GoogleVertexAI, AWS Bedrock, ServiceNow Agentforce) with HCLTech’s global transformation … workshops and steering committees to translate AI capabilities into strategic imperatives. 3. Vendor Ecosystem Leadership a. Forge strategic alliances with Microsoft CoPilot engineering, OpenAI research, GoogleCloudAI, AWS AI, and ServiceNow teams. b. Influence product roadmaps by providing enterprise requirements and market insights. 4. Governance, Compliance & Risk a. Define and enforce governance frameworks More ❯
As AI Manager at our Global Office, you are part of a team that brings the legend of Belmond to life. You will be instrumental in driving the development, implementation, and successful adoption of both traditional AI and cutting-edge Generative AI (GenAI) models within Belmond. Through leveraging a diverse range of AI … moment. Primary Responsibilities Include Team Management & Mentorship: Manage, mentor, and provide technical guidance to a Data Scientist, fostering a high-performance environment focused on innovation and delivery of AI solutions, encompassing both traditional and generative approaches. AI Strategy & Implementation: Develop and execute the company's AI strategy, encompassing both traditional AI techniques … e.g., predictive modeling, classification, regression) and Generative AI models. Identify opportunities to apply these technologies to improve guest experiences, streamline operations, and increase profitability. Project Management: Oversee a portfolio of AI projects from conception through deployment and production, ensuring adherence to timelines, budgets, and quality standards. This includes managing resources, mitigating risks, and tracking project progress More ❯
MCS Group | Your Specialist Recruitment Consultancy
Senior AI Engineer | Shape Greenfield AI Capabilities in a Global Platform MCS Group is delighted to be partnering exclusively with an established global tech company with a engineering hub in Belfast that is expanding its Data & AI Platform Team as part of a multi-year digital transformation. They develop digital manufacturing intelligence tools used … by world-leading manufacturers to make smarter design, sourcing, and production decisions - combining cloud data , AI , and digital twin technology to drive efficiency, sustainability, and innovation. The Role This is a hands-on AI engineering role within a collaborative, product-driven team building a next-generation data platform that leverages proprietary data to deliver advanced insights … and AI capabilities . You'll design and implement both LLM-driven and traditional AI/ML solutions, embedding intelligent automation into core products and data workflows. It's a greenfield opportunity with real freedom to shape how AI is built, deployed, and scaled across the organisation. You'll Be Working On Designing and More ❯
MCS Group | Your Specialist Recruitment Consultancy
Senior AI Engineer | Shape Greenfield AI Capabilities in a Global Platform MCS Group is delighted to be partnering exclusively with an established global tech company with a engineering hub in Belfast that is expanding its Data & AI Platform Team as part of a multi-year digital transformation. They develop digital manufacturing intelligence tools used … by world-leading manufacturers to make smarter design, sourcing, and production decisions - combining cloud data , AI , and digital twin technology to drive efficiency, sustainability, and innovation. The Role This is a hands-on AI engineering role within a collaborative, product-driven team building a next-generation data platform that leverages proprietary data to deliver advanced insights … and AI capabilities . You'll design and implement both LLM-driven and traditional AI/ML solutions, embedding intelligent automation into core products and data workflows. It's a greenfield opportunity with real freedom to shape how AI is built, deployed, and scaled across the organisation. You'll Be Working On Designing and More ❯
MCS Group | Your Specialist Recruitment Consultancy
Senior AI Engineer | Shape Greenfield AI Capabilities in a Global Platform MCS Group is delighted to be partnering exclusively with an established global tech company with a engineering hub in Belfast that is expanding its Data & AI Platform Team as part of a multi-year digital transformation. They develop digital manufacturing intelligence tools used … by world-leading manufacturers to make smarter design, sourcing, and production decisions - combining cloud data , AI , and digital twin technology to drive efficiency, sustainability, and innovation. The Role This is a hands-on AI engineering role within a collaborative, product-driven team building a next-generation data platform that leverages proprietary data to deliver advanced insights … and AI capabilities . You'll design and implement both LLM-driven and traditional AI/ML solutions, embedding intelligent automation into core products and data workflows. It's a greenfield opportunity with real freedom to shape how AI is built, deployed, and scaled across the organisation. You'll Be Working On Designing and More ❯
Project Description: We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants … and more. Responsibilities: Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate … AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, VertexAI, or Azure ML. Monitor model performance, detect More ❯
Project Description: We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants … and more. Responsibilities: Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate … AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, VertexAI, or Azure ML. Monitor model performance, detect More ❯
Project Description: We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants … and more. Responsibilities: Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate … AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, VertexAI, or Azure ML. Monitor model performance, detect More ❯
Project Description: We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants … and more. Responsibilities: Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate … AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, VertexAI, or Azure ML. Monitor model performance, detect More ❯
london (city of london), south east england, united kingdom
Luxoft
Project Description: We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants … and more. Responsibilities: Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate … AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, VertexAI, or Azure ML. Monitor model performance, detect More ❯
solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. Senior AI Developer(Agentic Experience) Role Summary We are seeking an experienced Senior AI Developer. This role focuses on the design, development, and deployment of intelligent autonomous systems that … can reason, plan, and execute complex tasks. The ideal candidate will build production-grade AI solutions that drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop … Tune & Optimize LLMs: Implement advanced model customization techniques, including PEFT (Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the GoogleCloud Platform (GCP), with a strong focus on VertexAI services. Build More ❯
solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. Senior AI Developer(Agentic Experience) Role Summary We are seeking an experienced Senior AI Developer. This role focuses on the design, development, and deployment of intelligent autonomous systems that … can reason, plan, and execute complex tasks. The ideal candidate will build production-grade AI solutions that drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop … Tune & Optimize LLMs: Implement advanced model customization techniques, including PEFT (Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the GoogleCloud Platform (GCP), with a strong focus on VertexAI services. Build More ❯
Bristol, Gloucestershire, United Kingdom Hybrid / WFH Options
Lloyds Bank plc
Machine Learning & AI Engineer page is loaded Machine Learning & AI Engineerlocations: Bristol Harboursidetime type: Full timeposted on: Posted Todaytime left to apply: End Date: November 5, 2025 (13 days left to apply)job requisition id: 143314 End Date Tuesday 04 November 2025 Salary Range £70,929 - £78,810 Flexible Working Options Hybrid Working, Job Share Job … Description Summary . Job Description JOB TITLE: Machine Learning & AI Engineer. SALARY : £71,000pa to £86,691pa plus an extensive benefits package. LOCATION: Bristol. HOURS: 35 hours, full time. WORKING PATTERN : Our work style is hybrid, which involves spending at least two days per week, or 40% of your time, at our Bristol hub.We're on an exciting … a great place for everyone, including you! Experience Optimisation is a product within the Personalised Experiences & Communications Platform. We are the team responsible for building Machine Learning (ML) AI models to define how we want to engage our customers with communications. We use a range of tried and tested techniques, as well as leveraging advances in AIMore ❯
Overview Join Expleo and Lead the Future of AI Transformation Across Industries Are you ready to shape the future of AI across Banking, Insurance, Retail, and Life Sciences? At Expleo, we're looking for a visionary AI Offer Leader to architect and scale AI-driven solutions that transform customer engagement, operational efficiency … and compliance. This is your chance to work at the intersection of enterprise architecture and cutting-edge AI innovation-driving impact across marquee clients and industries. Responsibilities Partner with sales teams to co-create AI offers and support pre-sales activity Deliver presentations and workshops to CxO-level stakeholders, articulating AI's business value … Collaborate with delivery teams to validate solution feasibility and execution models Work closely with the AI CoE in India to design PoCs, demonstrators, and accelerators Architect industry-specific AI solutions in: Banking/Payments: fraud detection, credit scoring, conversational AI, compliance automation Insurance: claims automation, risk modelling, personalised offerings Retail: demand forecasting, customer journey More ❯
Minimum qualifications: Bachelor's degree in Computer Science, Data Science, or equivalent practical experience. 7 years of experience working in AI/ML as a technical sales engineer or in software engineering. Experience in Python and Machine learning frameworks (e.g., TensorFlow, PyTorch). Experience in Generative AI as a user or a developer. Experience delivering technical … to architect and explain data pipelines, Machine Learning (ML) pipelines, and ML training and serving approaches. Understanding of nearest neighbor search concepts. About the job As a Generative AI Field Solutions Architect, you will support GoogleCloud Sales and Engineering teams to incubate, pilot, and deploy GoogleCloud's AI/ML and Generative AI … run benchmarks for existing models, finding opportunities to use accelerators for new models, developing migration paths, and helping to analyze cost to performance. You will work with internal CloudAI teams to remove roadblocks and shape the future of our offerings. It's an exciting time to join GoogleCloud's Go-To-Market team, leading the AIMore ❯
Overview JOB TITLE: Machine Learning & AI Engineer. SALARY : £71,000pa to £86,691pa plus an extensive benefits package. LOCATION: Bristol. HOURS: 35 hours, full time. WORKING PATTERN : Our work style is hybrid, which involves spending at least two days per week, or 40% of your time, at our Bristol hub. We're on an exciting journey to transform … a great place for everyone, including you! Experience Optimisation is a product within the Personalised Experiences & Communications Platform. We are the team responsible for building Machine Learning (ML) AI models to define how we want to engage our customers with communications. We use a range of tried and tested techniques, as well as leveraging advances in AI model development, to develop and deploy a wide range of ML models. We're looking for a strategic and technically minded Machine Learning & AI Engineer to join our team as we continue to advance the Group in this space. Want to hear more? You will use your knowledge of key software development best practices, Python testing More ❯
Line of Service: Internal Firm Services Industry/Sector: Technology Specialism: Technology Strategy Management Level: Senior Manager About the Role We are looking for an experienced AI Solution Architect who is responsible for designing enterprise AI solutions that align with business objectives while ensuring scalability, security, and efficiency. This role translates business needs into AI-driven architectures (across data ingestion, models and operational workflows), ensuring feasibility, cost-effectiveness, and adherence to industry best practices and firmwide standards. The AI Solution Architect works closely with the sales teams, engineers and stakeholders to define solution plans and roadmaps, select appropriate technologies and models and guide successful implementations. They provide deep experience in designing … Large Language Models/Small Language Models) deployment, fine-tuning, inference optimization, retrieval-augmented generation (RAG), API-based AI deployment and model orchestration. Strong knowledge of CloudAI & Hyperscalers, including AWS Bedrock, OpenAI, GoogleVertexAI, Azure, hybrid and multimodal AI applications. Proficiency in Cloud Security & FinOps, including AIMore ❯
Overview From millions of reviews to rich user interaction data, we have a vast amount of behavioral and content data that powers our consumer platform. In the Applied AI team, we're focused on leveraging AI and ML to improve how people discover, interact with, and trust businesses on Trustpilot. We are seeking Data Scientists to … join our Applied AI team across our brand new B2B Data Product, to build intelligent, data-driven product features that improve user experience and deliver business impact. You will collaborate closely with a cross-functional team of engineers, product managers, designers, data analysts, and ML engineers to develop and maintain impactful AI/ML models at … ability to work cross-functionally are essential. What you'll be doing Great opportunity to make a real product impact by applying the state of the art in AI and ML. Work on some of our most exciting Data Science initiatives aimed at improving the Trustpilot consumer experience: from ranking and recommendations to natural language processing and search. More ❯
Central London, London, United Kingdom Hybrid / WFH Options
Singular Recruitment
forecasting). Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI and using VertexAI for ML workflows. Visualization & Communication: Ability to create clear visualizations and effectively communicate technical findings to non-technical stakeholders. Highly desirable skills include: Football Analytics Domain … Significant plus if experienced with football datasets (event, tracking, etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the VertexAI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming (e.g., PyMC). Stakeholder Management: Proven success working directly with More ❯
leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and GenAI/ML, compute, and analysis platforms. We're seeking a highly skilled Director for AI/ML, Compute, Infra & DevOps Platforms products. In this role you will develop the product strategy for our core developer platforms, combine technical depth with strategic vision, and lead … teams to drive product success in a cutting edge R&D setting. Key Responsibilities Develop and execute a comprehensive product strategy for our platform products, including AI/ML, GenAI, Compute/Analytics, Cloud/Physical Infrastructure, and DevOps platforms. Define and prioritize features, enhancements, and functionalities based on user analysis, customer feedback, and business requirements. Plan and … services. Hands on experience with DevOps and engineering tools (GitLab, GitHub, Azure DevOps, Docker, Kubernetes). Proficiency with AI/ML and MLOps platforms (Databricks, GoogleCloudVertexAI, SageMaker). Familiarity with generative AI technologies and frameworks (OpenAI, Google Gemini, Hugging Face Transformers). Demonstrated success in developing and executing product More ❯
