Principal Ai And Automation Engineer Jobs

We are looking for an Agentic AI Principal to act as a senior technical authority and trusted client advisor for complex agentic AI transformation in the UK and Ireland. Operating at Principal level, you will shape enterprise AI strategy, define agentic architecture blueprints, lead high-value C-suite engagements and guide complex programmes from opportunity through delivery. You will bring deep hands-on credibility in multi-agent systems, governance and safeguards, while setting reusable patterns and raising capability across teams. The role has particular focus on sovereign, compliant and production-grade agentic AI for regulated UK enterprise environments, including financial services and telecommunications. Job responsibilities Agentic AI Advisory & Strategy: Shape and solution complex UKI pursuits, working with account, commercial and delivery leaders to translate client needs into differentiated propositions, credible architectures and executable delivery approaches that support regional pipeline conversion. Design & Build Engineering: Set the architecture direction for complex, production-grade agentic AI systems, including multi-agent workflows, orchestration, tool use, memory, context strategy, retrieval, evaluation, observability and enterprise integration. Governance & Safeguards: Establish reusable patterns for observability, auditability, traceability and control of agentic systems, enabling teams to demonstrate safe and reliable behaviour in production. Principal-level leadership: Set reusable architecture patterns, engineering standards and governance practices across multiple teams and engagements, influencing the evolution of Thoughtworks’ agentic AI capability beyond an individual programme. Design solutions appropriate for regulated UK environments, including financial services and telecommunications, with strong consideration of data sovereignty, privacy, security, responsible AI and applicable regulatory requirements. Provide technic

About the Job Set the performance direction behind large-scale AI systems built for real deployment. As a Principal AI Performance Engineer, you will define how Graphcore analyzes and optimizes AI training and inference workloads. Your work will shape decisions across hardware, software, networking and system architecture. You will lead the hardest performance investigations, from model behavior to multi-node scaling. You will turn profiling, benchmarking and modeling evidence into technical roadmaps and engineering priorities. You will set measurement standards, guide distributed communication strategy and review critical C++ and Python tools. Your judgment will help teams make better decisions when data is incomplete. This role gives you rare influence across AI infrastructure at data center scale. It is based in Austin, Texas. The team and culture The System Engineering Performance team architects, evaluates and optimizes high-performance infrastructure for large-scale data center deployments. The team works across the computing stack to understand real system behavior. Work happens through evidence, technical ownership and direct cross-team influence. You will guide strategy, resolve complex tradeoffs and raise performance-engineering standards across the organization. Decisions are shaped by benchmarks, simulations, models and clear technical debate. The team values engineers who think big, act fast, take responsibility, speak up and lead beyond their own area. What we’re looking for · Deep experience profiling and optimizing AI, machine learning or high-performance computing workloads at scale. · Proven technical leadership across complex performance-engineering or system-architecture initiatives. · Expert C++ and Python skills, including reliable tools or performance-sensitive software. · Expert understanding of compute, memory, communication and scaling behavior in distributed systems. · Ability to define benchmarks, measurement practices or optimization sta

Become a part of our caring community Every large organization is making critical decisions today about how it will leverage AI over the next decade. Few have leaders who can both define that vision and demonstrate its viability through hands-on engineering. This role requires both. We build the platform that transforms millions of clinical documents into trusted, actionable data. Our systems use large language models (LLMs) to read medical records, extract structured facts, answer complex questions with citations to source documents, and route difficult cases to human experts. These capabilities support decisions that impact real healthcare outcomes for members. As a Principal AI Applied Engineer, you will define the technical strategy, architectural standards, and long-term vision for AI-enabled products across the organization. You will influence enterprise-wide decisions regarding AI platforms, model strategies, engineering standards, and technology investments while remaining deeply hands-on in prototyping, experimentation, architecture, and software development. This is the highest-level individual contributor role within the AI Applied Engineering organization. Success requires exceptional technical depth, organizational influence, strategic thinking, and the ability to translate emerging AI capabilities into scalable, reliable, and responsible production systems. Why Join Us Shape the long-term AI architecture and engineering direction for a large enterprise healthcare organization. Influence how AI-enabled products are designed, built, evaluated, deployed, and governed across multiple teams. Drive strategic decisions involving models, vendors, platforms, infrastructure, and shared capabilities. Prototype and validate emerging technologies before the organization invests at scale.</

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are seeking experienced professionals with a strong background in Artificial Intelligence, Machine Learning, and Cloud Architecture to join our Services Delivery team to help create exciting new offerings and capabilities for our customers! In this strategic role, you will help customers expand their use of the Snowflake Data Cloud to bring AI/ML pipelines from ideation to full production. Leveraging Snowflake’s native features and extensive partner ecosystem, you will advise clients on best practices for scaling production-ready workloads. You will design tailored AI/ML solutions, coordinate closely with customer teams and Systems Integrators, and provide the technical leadership and oversight needed to ensure successful outcomes. AS A PRINCIPAL SOLUTIONS ARCHITECT AT SNOWFLAKE, YOU WILL: Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload and provide customers with best practices given Snowflakes technology stack. Work with customers to understand their AI/ML use case, discover key requirements, and architect a Snowflake-centric solution to be delivered by Services Delivery. Understand how to build, deploy and AI and ML pipelines using Snowflake features and/or Snowflake ecosystem based on customer requirements. Work hands-on where neede

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are seeking experienced professionals with a strong background in Artificial Intelligence, Machine Learning, and Cloud Architecture to join our Services Delivery team to help create exciting new offerings and capabilities for our customers! In this strategic role, you will help customers expand their use of the Snowflake Data Cloud to bring AI/ML pipelines from ideation to full production. Leveraging Snowflake’s native features and extensive partner ecosystem, you will advise clients on best practices for scaling production-ready workloads. You will design tailored AI/ML solutions, coordinate closely with customer teams and Systems Integrators, and provide the technical leadership and oversight needed to ensure successful outcomes. AS A PRINCIPAL SOLUTIONS ARCHITECT AT SNOWFLAKE, YOU WILL: Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload and provide customers with best practices given Snowflakes technology stack. Work with customers to understand their AI/ML use case, discover key requirements, and architect a Snowflake-centric solution to be delivered by Services Delivery. Understand how to build, deploy and AI and ML pipelines using Snowflake features and/or Snowflake ecosystem based on customer requirements. Work hands-on where neede

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. About Our Team: The Frontend Manufacturing Applications team develops and supports critical software platforms that enable Micron's wafer fabrication and assembly operations. Our team partners closely with manufacturing, product, and engineering organizations to deliver reliable, scalable solutions while advancing the adoption of AI-assisted engineering practices that improve developer productivity and software quality. Position Overview: As a Principal Software Engineer, you will serve as a technical authority responsible for defining architecture, engineering standards, and technical strategy for frontend manufacturing applications. You will lead the organization's AI-assisted engineering initiatives while delivering business-critical software solutions that improve manufacturing efficiency, reliability, and operational performance. Responsibilities: Lead architecture, design, and technical strategy for frontend manufacturing applications and platform modernization initiatives. Design, develop, and support production applications using technologies including .NET, C#, C&#43;&#43;, Angular, Python, and related platforms. Establish and govern engineering standards, code review practices, and quality controls, including standards for AI-assisted software development. Evaluate, implement, and operationalize AI development tools, agentic workflows, and engineering productivity solutions across multiple tea

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Elastic is expanding the Ecosystem Architects team focused on the most consequential AI providers in the AI Ecosystem — OpenAI and Anthropic. We are looking for a builder, an architect who will own the technical strategy and relationships with both. We are prioritizing candidates in the San Francisco Bay Area, and Seattle, WA. In this hands-on individual contributor role you'd be driving the co-build strategy through deeper integrations with both ecosystems, influencing Elastic Product strategy, building the prototypes, and shaping the GTM content that would help customers bring frontier intelligence to unstructured data. As the AI Ecosystem Architect you will build, manage and own the technical relationships end-to-end — bringing both technical depth and the credibility that comes from having built things yourself. "The deep integrations with OpenAI and Anthropic are at the center of how Elastic thinks Frontier AI will shape enterprises when brought to unstructured enterprise data. Elasticsearch is purpose-built to solve the retrieval problem for AI agents, and the person in this role will influence the most consequential decisions in how Elastic technology integrates with these ecosystems." — Global VP, Head of Business & Corporate Development, Elastic What You Will Be Doing You will drive technical integration, shape

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Elastic is expanding the Ecosystem Architects team focused on the most consequential AI providers in the AI Ecosystem — OpenAI and Anthropic. We are looking for a builder, an architect who will own the technical strategy and relationships with both. In this hands-on individual contributor role you'd be driving the co-build strategy through deeper integrations with both ecosystems, influencing Elastic Product strategy, building the prototypes, and shaping the GTM content that would help customers bring frontier intelligence to unstructured data. As the AI Ecosystem Architect you will build, manage and own the technical relationships end-to-end — bringing both technical depth and the credibility that comes from having built things yourself. "The deep integrations with OpenAI and Anthropic are at the center of how Elastic thinks Frontier AI will shape enterprises when brought to unstructured enterprise data. Elasticsearch is purpose-built to solve the retrieval problem for AI agents, and the person in this role will influence the most consequential decisions in how Elastic technology integrates with these ecosystems." — Global VP, Head of Business & Corporate Development, Elastic What You Will Be Doing You will drive technical integration, shape product strategy, and co-create the go-to-market content that helps customers put th

We are seeking an innovative, customer-focused leader to drive the AI Platform product area at Talkdesk. As the Principal Product Manager, you will be at the helm of shaping a platform that powers AI-driven solutions for the future of customer engagement. You will collaborate with designers, engineers, GTM teams, and the executive leadership to build cutting-edge AI capabilities that accelerate growth and lead to market leadership. In this role, you will oversee a mix of strategic product leadership and people management, with the opportunity to guide both product innovation and team development. As a key partner to our GTM teams, you’ll serve as the face of the AI platform, engaging with customers, prospects, and partners to drive adoption and success. Job Summary: The Principal Product Manager is responsible for leading the development and management of complex products from ideation to launch. This includes defining product strategy, conducting market research, developing product roadmaps, and collaborating with cross-functional teams to ensure successful product launches. The Principal Product Manager is a senior leader who provides guidance and direction to other product managers and technical staff. Duties and Responsibilities: Lead the development and management of complex products, from ideation to launch, ensuring they are completed on time, within budget, and meet quality standards Work closely with cross-functional teams, including engineering, design, sales, and marketing, to ensure that all aspects of the product are aligned Develop and maintain product roadmaps and feature backlogs, and track progress against milestones Conduct market research and gather customer feedback to identify customer needs and pain points, and use this information to inform product decisions Develop and maintain strong relationships with customers and other key stakeholders, in order to identify critical use cases that can be solved by AI solutions and gather feedback to impro

Applied AI & Analytics - Principal Consultant Location: London (Hybrid) | Practice Area : Data & Analytics | Type: Permanent Lead AI-enabled data and analytics programmes that deliver measurable impact across Financial Services. Lead the AI future. The Role You’ll lead complex, AI-enabled data and analytics programmes across the financial services sector, combining strategic leadership with deep expertise in applied AI, machine learning and advanced analytics to help clients deliver measurable outcomes at scale. What You’ll Do Scope, prioritise and shape AI and analytics initiatives across top-tier financial institutions Lead end-to-end delivery, from problem definition through to delivery, balancing business value, technical feasibility and data readiness Own delivery outcomes across AI-enabled initiatives, working hands-on with data scientists, engineers and client stakeholders Provide leadership and mentoring to data scientist and AI engineers, supporting capability growth across analytics, AI and ML Represent Capco’s Data Practice externally, contributing to AI-focused propositions, partnerships and thought leadership What We’re Looking For Proven experience leading AI-driven data and analytics programmes within consulting or complex enterprise environments Strong expertise across applied AI, machine learning, advanced analytics and their integration into modern data platforms to guide delivery, challenge design decisions and ensure solutions scale in production Knowledge about evolving cutting-edge AI technologies - including Agentic AI, GenAI advancements, Knowledge Graphs etc. Demonstrated ability to translate AI and analytics capabilities into clear business value for senior stakeholders Experience designing, governing and scaling AI solutions within regulated Financial Services environments Confidence operating across multiple workstreams while building sustainable AI and analytics capability within teams Bonus Points For Hands-on experie

Principal Software Engineer – AI CoE About Redwood Redwood Software helps the world's largest enterprises automate mission-critical business processes. Our platforms support complex enterprise workloads across ERP systems, business applications, cloud infrastructure, and on-premises environments. Redwood is building reusable AI infrastructure, agentic capabilities, developer tools, and platform services that enable enterprise-ready AI features across its product portfolio. Role Mission As a Principal Software Engineer, you will lead the design and delivery of complex, production-grade AI and agentic capabilities that can be reused across Redwood products. You will solve ambiguous engineering problems, establish standards for reliability and AI evaluation, and contribute to important technical decisions. This is a hands-on role with ownership of significant systems and platform capabilities. Key Responsibilities Design and deliver complex services, agentic workflows, and shared AI platform capabilities. Build multi-step agentic systems that combine reasoning, tool use, retrieval, memory, policy controls, and human oversight. Establish robust approaches for AI evaluation, observability, model selection, fallback behaviour, and failure recovery. Lead technical delivery across multiple contributors and coordinate dependencies with product and platform teams. Review designs and code for scalability, security, performance, reliability, maintainability, and cost. Resolve complex production issues and implement corrective actions that prevent recurrence. Create reusable frameworks, reference implementations, and engineering standards that accelerate development. Partner with Product, Architecture, Security, Data, and Operations teams to translate business problems into durable platform solutions. Evaluate emerging AI technologies and recommend adoption based on technical evidence, enterprise requirements, and business

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. We are looking for a technically-capable product leader to head up AI Design at Fin. Fin is the #1 AI agent for customer service — a full-stack, vertically integrated AI system powered by our own in-house models, Apex, designed specifically for customer experiences. The role is to lead the Design function within our AI Group, where our custom models and core Fin functionality are developed. You will be managing our AI Designers (currently 3 Staff/Principal level AI Designers). You will work directly with AI Engineers and Scientists in our AI Group , and Product Designers and teams in our R&D group. We believe that leading AI Design is a new type of product leadership role that combines technical, product, and leadership qualities. This includes shaping how the Fin AI models and harness behave — how they reason, respond, and improve over time. The experience is defined as much by model behavior, evals, and iteration loops as it is by UI. We’re looking for someone to lead in that world.

OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Role We are looking for a customer-obsessed and hands-on experienced Product Manager to lead the strategy, development, and optimization of our AI and agent products. In this role, you will own the end-to-end product lifecycle, working cross-functionally with engineering, design, marketing, CRM, and analytics to build AI infra and application products/systems to support both. You will play a key role in driving user engagement, retention, and conversion through effective use of push notifications—balancing personalization, timing, frequency, and business impact. What You'll Be Doing Drive product roadmap for key components of AI and agent platforms or application products, ensuring alignment with business goals and customer needs Partner with science and engineering teams to define and prioritize technical requirements for new AI features and capabilities Lead the end-to-end product development lifecycle, from conception through launch, including writin

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Role We are looking for a customer-obsessed and hands-on experienced Product Manager to lead the strategy, development, and optimization of our AI and agent products. In this role, you will own the end-to-end product lifecycle, working cross-functionally with engineering, design, marketing, CRM, and analytics to build AI infra and application products/systems to support both. You will play a key role in driving user engagement, retention, and conversion through effective use of push notifications—balancing personalization, timing, frequency, and business impact. What You'll Be Doing Drive product roadmap for key components of AI and agent platforms or application products, ensuring alignment with business goals and customer needs Partner with science and engineering teams to define and prioritize technical requirements for new AI features and capabilities Lead the end-to-end product development lifecycle, from conception through launch, including writin

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Principal Machine Learning Engineer within the Creator Services Machine Intelligence team, you will focus on the research and development of Embodied AI and Behavioral Agents that revolutionize how games are created and played on Roblox. You will bridge the gap between cutting-edge research and massive-scale product application, building agents capable of complex 3D gameplay and unblocking many use cases across Roblox, from automated playtesting to ensure quality, to "ML Players" with human-like movement and strategic reasoning, playing with real players in games. You will work on feature extraction, model training, building validation / RL platform as well as inference set up leveraging methods from imitation learning to reinforcement learning. And you will create generalizable agents that can perceive 3D environments, understand game rules, plan long-term strategies, and execute complex physics-based actions in real-time. You Will: Design and implement foundation models end to end through the feature extraction to inference for embodied agents. Define the long-term roadmap for Game AI and Embodied Intelligence, acting as a technical bar-raiser for code quality and architectural desig