data engineer

ai engineer

senior software engineer

senior ai engineer

senior data engineer

principal data engineer

Ignite Insurance Systems

<div><p><b>Build technology that helps the world&rsquo;s leading insurers make better decisions
</b></p><p>At Verisk, we combine data, analytics, and technology to help businesses make informed decisions and solve complex challenges. Our solutions power some of the world's most recognized insurance organizations, helping them operate smarter, faster, and with greater confidence.
</p><p>We're looking for a Principal Full Stack Engineer who enjoys solving complex technical problems, influencing architecture decisions, and building modern, scalable software that delivers real business impact. This is an opportunity to play a key role in shaping the future of our platform while working alongside experienced engineers in a collaborative and supportive environment.
</p><p>If you're energized by technical leadership, modern cloud technologies, and building products at scale, we'd love to hear from you.</p></div>
<br><div><ul><li>Lead the design and development of large-scale software solutions that support critical business capabilities
</li><li>Shape technical architecture and engineering standards across multiple products and teams
</li><li>Build modern, cloud-native applications using scalable and resilient design principles
</li><li>Contribute across the full technology stack, from user interfaces to APIs and backend services
</li><li>Mentor engineers and provide technical guidance on complex development initiatives
</li><li>Drive best practices in software quality, performance, security, and maintainability
</li><li>Collaborate closely with Product, Engineering, and Architecture teams to translate business needs into technical solutions
</li><li>Support continuous improvement through modern DevOps and Agile engineering practices</li></ul></div>
<br><div><p><b>Must-haves
</b></p><ul><li>Degree in Computer Science, Software Engineering, or a related discipline
</li><li>Significant experience delivering software solutions at Principal Engineer level
</li><li>Strong expertise in TypeScript, JavaScript, and Angular or comparable modern front-end technologies
</li><li>Experience building backend services using Node.js or similar technologies
</li><li>Proven experience designing and developing complex distributed systems
</li><li>Deep understanding of software architecture, design patterns, and engineering best practices
</li><li>Experience working with cloud platforms such as Azure or AWS
</li><li>Experience developing and deploying microservices-based applications
</li><li>Strong understanding of high-availability, scalability, and performance optimization concepts
</li>Experience working within Agile software development environments<br>
<li>
</li></ul><p></p><p><b>Nice to have
</b></p><ul><li>Experience with Swift and the Vapor framework for server-side API development
</li><li>Experience building APIs with technologies such as C# or Java
</li><li>Experience with NoSQL databases including Couchbase or MongoDB
</li>Familiarity with CI/CD pipelines, Docker, Kubernetes, and modern DevOps practices<br>
<li>
</li></ul><p></p><p><b>Why join Verisk?
</b></p><ul><li>Work on challenging technical problems with real-world impact
</li><li>Help shape products used by leading organizations across the global insurance industry
</li><li>Influence architectural decisions and technology direction
</li><li>Collaborate with highly skilled engineers in a culture that values innovation and continuous learning
</li><li>Access opportunities for professional growth, technical leadership, and long-term career development
</li>Join a stable, global organization investing heavily in modern technology and platform transformation<br>
<li>
</li></ul><p></p><p>#LI-KS1#Hybrid</p></div>
<br><p></p><div><p><b>Our People, Our Culture
</b></p><p>For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle. We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry's most comprehensive datasets. Learn more about Verisk and what we are doing within the insurance industry.
</p><p>For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work&reg; for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we&rsquo;ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World&rsquo;s Best Employer, testaments to the value we place on workplace culture.
</p><p><b>Our Culture </b>: Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging.
</p><p><b>Awards &amp; Recognition </b>: See why Verisk is consistently recognized as a Great Place to Work&trade; around the world.
</p><p><b>Our Businesses </b>: Learn about the diverse industries we serve &mdash; from insurance and energy to financial services and beyond.
</p><p><b>Life at Verisk </b>: Discover what it&rsquo;s like to work at Verisk through employee stories, team highlights, and culture moments.
</p><p><b>Careers at Verisk </b>: Join a global team of problem-solvers and innovators doing meaningful work that&rsquo;s shaping the future of industries. Whether you're just starting out or looking to take your career to the next level, Verisk offers growth, purpose, and a people-first culture
</p><p>Let&rsquo;s build something meaningful together!
</p><p>Verisk Analytics is an equal opportunity employer.
</p><p>All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk&rsquo;s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.
</p><p>At Verisk, we provide a competitive compensation package aligned with market benchmarks and individual experience, disclosed transparently in accordance with applicable pay transparency regulations. In addition to base salary, eligible roles may include a range of incentive opportunities designed based on market research and our internal grading structure.
</p><p>Our benefits portfolio varies by location; however, a typical package includes medical coverage, life insurance, pension plans, and paid time off in line with local labor laws.
</p><p>We also foster a work environment focused on well-being and career development. Additional perks may include wellness initiatives, fitness programs, and team-building activities.
</p><p>https://www.verisk.com/company/careers/
</p><p>Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine, or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
</p><p>Verisk Employee Privacy Notice</p></div>

Principal Fullstack Engineer (Angular/Swift or similar)

Blue Yonder

<div><h2 class="jobSectionHeader"><b>End-to-End Principal Architect - WMS</b></h2><p></p><p>
Job Profile Summary<br>
E2E Principal Architect is a self-driven associate who will lead the end-to-end implementation of large footprint Blue Yonder solutions for Warehouse Management Solutions starting with the overall architecture of the solution, partnering with all key stakeholders to drive the implementation of all the multiple business releases within the program, be the single point of contact for all customer business stakeholders on the overall solution footprint.</p><p></p><h3 class="jobSectionHeader"><b>
Job Description</b></h3><p></p><p><b>
Overview</b></p><p>
The End-to-End Principal Architect will work within the Consulting Services team at Blue Yonder to lead and manage the end-to-end solution design and implementation of Cognitive Execution Solutions, and Cognitive Warehouse Management Solutions for clients. The End-to-End Principal Architect will be responsible for ensuring project success by effectively communicating with clients, managing project timelines, and leading solution teams as part of a project. They will be accountable for the overall functional and technical designs, implementation and delivery of end-to-end solutions, and will work closely with the clients and the project teams to ensure that the solutions align with the client's business objectives and meet their requirements.</p><p></p><p><b>
Our current technical environment</b></p><p>
We leverage SaaS microservices and various Blue Yonder solutions and integrate with client solutions and landscapes.</p><p></p><p><b>
What you will do:</b></p><ul><li>
Serve as the primary point of contact for clients throughout the project lifecycle</li><li>
Develop and manage project timelines and budgets</li><li>
Lead solution teams and ensure project deliverables meet client expectations</li><li>
Lead integration of the core product to develop solutions utilizing Platform</li><li>
Identify and manage project risks and issues</li><li>
Act as an internal consultant to other teams within Blue Yonder</li><li>
Design and implement end-to-end solutions based on client requirements and best practices</li><li>
Provide functional and technical guidance and mentorship to junior team members</li><li>
Continuously evaluate and improve solution processes and tools utilizing the latest technologies, i.e. Agentic AI, Machine Learning</li><li>
Work closely with the clients and other project teams to ensure that the solutions align with the client's business objectives and meet their technical requirements.</li><li>
Collaborate with the project managers, delivery partners, and other stakeholders to ensure that the solutions are delivered on-time, on-budget, and to the client's satisfaction.</li></ul><p></p><p><b>
What we are looking for (Team Specific Qualifications &amp; Education):</b></p><ul><li>
15 + years of experience in solution architecture and consulting or a related field</li><li>
Expertise in designing and implementing Blue Yonder (micro service based) Warehouse Management solutions</li><li>
Expertise in designing and implementing at least one other Execution solution &ndash; Warehouse Labour Management, Transportation Management, Order and/ or Returns Management</li><li>
Proven experience leading and managing solution projects</li><li>
Strong communication, interpersonal and presentation skills to be able to interact with customer at all levels, from CIO and Senior Supply Chain Leader downward.</li><li>
Ability to think strategically and solve complex problems</li><li>
Strong technical skills in one or more areas such as cloud infrastructure, software development, data engineering, and data analytics.</li><li>
Experience with project management tools and methodologies</li><li>
Strong ability to work in a fast-paced and dynamic environment</li><li>
Strong understanding of the software development life cycle and experience with Agile methodologies.</li><li>
Experience working with Supply Chain, logistics, retail and manufacturing industries would be a plus.</li></ul><p></p><p><b>
Our Values</b></p><p><br>
If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success &ndash; and the success of our customers. Does your heart beat like ours? Find out here: Core Values</p><p></p><p>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.</p></div>

Principal Architect (E2E) - WMS

Intellias

<div><div><div>Meet your recruiter</div>
<div>Daria Kovtun</div>
 <div>daria.kovtun@intellias.com https://www.linkedin.com...
</div></div><div><div>Vacancy details</div>
 <div><div>DevOps Engineering
 </div><div>DevOps Engineer (AWS)
 </div><div>Principal
 </div><div>London, United Kingdom
 </div><div>Hybrid</div></div></div></div><div></div>
<br><div><div><p>Our client is a leading global investment management company headquartered in London. It manages over $228 billion in assets and serves institutional investors, pension funds, wealth managers, and other sophisticated clients worldwide. The firm specializes in quantitative investing, alternative investments, systematic trading strategies, and technology-driven asset management. Data science, machine learning, and AI are core components of its investment and research processes.</p>
<p>As part of our collaboration we will focus on two foundational capabilities required to enable safe and scalable AI adoption across the enterprise: Agentic Security and AI-Ready Data Foundations.</p>
</div><div><h3 class="jobSectionHeader"><b>What project we have for you</b></h3>
<div><p>We build the data foundations and evaluation frameworks that make AI useful, reliable and safe inside regulated financial firms. The value of an AI agent depends not only on the models behind it, but also on the quality of the structured and unstructured data it consumes and the accuracy, relevance and traceability of the outputs it produces. Your job is to measure that quality, identify where it breaks down and turn the findings into practical improvements.</p>
<p>This is an *<b>engineering</b>* role, not an analytical one. You will build the agentic workflows that reason over the firm&rsquo;s research content, and the ingestion, evaluation and guardrail tooling that makes their output trustworthy enough for investment professionals to act on. None of this tooling exists today &mdash; you would be building it from scratch.</p>
</div></div><div></div><div><h3 class="jobSectionHeader"><b>What you will do</b></h3>
<div><ul><li>Designing, building, and maintaining the Python services, libraries, and command-line tooling that make up the internal infrastructure platform.</li>
<li>Working with the engineering teams who consume the platform to understand their workflows and turn recurring pain points into platform features.</li>
<li>Replacing manual infrastructure operations with codified, self-service workflows, so that environments are reproducible, reviewable, and safe to change.</li>
<li>Building observability into the platform through metrics, structured logging, and alerting, so failures surface before consuming teams report them.</li>
<li>Owning production issues in the platform end to end, from triage and root cause analysis through the code or configuration change that prevents a recurrence.</li>
<li>Managing and scaling the compute and storage the platform provisions across on-premises hardware, balancing performance against cost as usage grows.</li>
<li>Building security into the platform by default: secrets management, least-privilege access, dependency hygiene, and an auditable history of every infrastructure change.</li>
<li>Evaluating new tools, libraries, and patterns, and folding the ones that earn their place into the platform roadmap.</li>
</ul></div></div><div></div><div><h3 class="jobSectionHeader"><b>What you need for this</b></h3>
<div><ul><li>7+ years of software engineering experience, a substantial part of it spent building infrastructure or platform tooling rather than operating it</li>
<li>Python (required): production-level Python, including packaging, typing, testing, and dependency management. The platform is written in Python and you will be extending it, not scripting around it. Bash for glue work.</li>
<li>On-premises infrastructure: solid Linux fundamentals, and working knowledge of the networking, storage, and virtualization layers the platform sits on. Platform code talks to this hardware directly, so you need to understand what is underneath the abstraction.</li>
<li>Infrastructure as code: hands-on experience with Terraform and Ansible, which are the tools in use here. Infrastructure here lives in version control and goes through review like application code.</li>
<li>Containers and orchestration: Docker and Kubernetes, including how workloads are scheduled, configured, and given access to resources at runtime.</li>
<li>CI/CD and DevOps practice: experience building pipelines (GitLab CI, GitHub Actions, Jenkins) that test, package, and release software, and the practices around them, such as automated testing and staged rollouts.</li>
<li>Observability: experience instrumenting systems with Prometheus, Grafana, OpenTelemetry, or an equivalent stack, and using that data to diagnose failures in distributed systems.</li>
<li>Security (critical): a working grasp of secrets management, identity and access control, network isolation, supply-chain and dependency risk, and how to build these into a platform so that consuming teams inherit them by default.</li>
<li>Collaboration and communication: you can gather requirements from engineering teams and write documentation others can work from. You will also need to explain design decisions to people outside engineering.</li>
<li>Problem-solving: the judgment to work through system failures that have no obvious cause, and the patience to find out why rather than restart the service.</li>
<li>English level B2</li>
</ul><p><b>Personal Skills</b></p>
<ul><li>Adaptability: comfortable when priorities, tools, or requirements change mid-project.</li>
<li>Curiosity: you follow how other teams solve infrastructure problems and bring back what works.</li>
<li>Communication: you write and speak clearly enough that other teams can act on it without a follow-up meeting.</li>
<li>Teamwork: you work well with people outside your own team and share what you know.</li>
<li>Ownership: you follow a problem to its cause rather than handing it on when the symptom clears.</li>
<li>Attention to detail: you notice the small things, like an unpinned dependency or a permission wider than it needs to be.</li>
<li>Prioritization: you can judge what to do first when several teams need something at once.</li>
<li>User focus: you treat the engineers who use the platform as your users, and judge your work by whether theirs gets easier.</li>
</ul></div></div><div></div><div><h3 class="jobSectionHeader"><b>What it&rsquo;s like to work at Intellias</b></h3>
<div><p>At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That&rsquo;s why we offer a range of benefits that support your well-being and charge your professional growth.
<br>
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
<br>
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.</p>
</div></div><div></div><div><h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><div>DevOpsPractices</div>
<div>On-premises</div>
<div>Python</div>
<div>Security</div></div></div></div>

Principal Platform Engineer (Python)

DataArt

<ul><li>Position overview: DataArt is seeking a highly motivated and experienced Senior Data &amp; Analytics Consultant to join our dynamic team. In this pivotal role, you will partner with prestigious clients in the Healthcare and Life Sciences industries to tackle complex business challenges and develop impactful, solution-oriented strategies.</li><li>
As a key member of the DataArt Data &amp; Analytics Lab, you will provide strategic consulting services to both clients and internal delivery teams, driving data strategy, data-driven organizational transformation, and other critical data and analytics initiatives. Beyond project delivery, you will also contribute to the growth of the Healthcare and Life Sciences practice and the Data &amp; Analytics Lab through business development and go-to-market activities.</li></ul>
<br><ul><li>Responsibilities: Forge strong, trusted advisor relationships with senior client stakeholders and internal account managers, gaining a deep understanding of their business objectives and challenges</li><li>
Lead collaborative, value-driven engagements to define and solve complex data problems, ensuring alignment with client goals and business objectives</li><li>
Collaborate with Practice Leadership and Account Management teams to develop account plans and strategies that identify and capitalize on data-driven opportunities, driving revenue growth within existing workstreams and beyond</li><li>
Serve as the principal consultant, guiding clients through complex data transformation initiatives and ensuring successful outcomes; contribute to key strategic deliverables such as mission statements, assessment results, and roadmaps to support clients' data journeys</li><li>
Actively engage in data-related pre-sales activities, including opportunity assessment, RFP responses, proposal development, and deal closure</li><li>
Support team development by mentoring colleagues and providing expertise across strategic client accounts</li><li>
Drive client value and business growth by achieving revenue targets (e.g., enabled revenue, new account acquisition) and meeting billable utilization goals</li><li>
Contribute to the Healthcare and Life Sciences practice and Data &amp; Analytics Lab by supporting go-to-market strategy, offering development, methodologies, and other strategic initiatives</li></ul>
<br><ul><li>Requirements: Proven experience driving data strategy, data governance, data maturity, and data-driven transformation projects for Healthcare and Life Sciences organizations, including Healthcare Providers, Payers, Healthcare Non-profits/Associations, Pharma &amp; Biotech, Medical Devices, and others</li><li>
Extensive experience working within custom IT services, custom IT solutions, and/or IT implementation environments, with a strong understanding of the custom software development services landscape</li><li>
Experience driving change management initiatives in enterprise environments</li><li>
Experience influencing data solution design and technology selection for enterprise data platforms, warehouses, data lakes, lakehouses, and data science platforms</li><li>
Experience implementing data strategies that enable in-house AI platform development</li><li>
Experience in the Healthcare and/or Life Sciences industries in the US and Europe</li><li>
Solid knowledge of Healthcare and/or Life Sciences data regulations, such as HIPAA, GDPR, ISO 27001, and the EU AI Act</li><li>
Extensive knowledge of health data exchange frameworks, data formats, and nomenclatures, including FHIR, HL7, SNOMED, and ICD-10, as well as regulatory frameworks such as TEFCA (US) and EHDS (Europe)</li><li>
Strong understanding of data and technology consulting principles and practices</li><li>
Expertise in leading large data-driven programs and driving revenue growth within client account portfolios</li><li>
Skilled in contributing to business development and sales engineering teams or organizations</li><li>
Proven track record of managing complex technology initiatives while effectively communicating with senior business and IT stakeholders</li><li>
Demonstrated ability to develop and grow client relationships, facilitate strategy definition, and drive adoption</li><li>
Solid understanding of business operations, products, and services</li></ul><br>

Principal Data & Analytics Strategy and Technology Consultant, Healthcare & Life Sciences

La Fosse

<div>
 <p>
  <strong>
   AI Engineer
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    London (1 day per week in the office)
   </strong>
  </li>
  <li>
   <strong>
    Up to &pound;80,000
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  I'm supporting one of the UK's largest transport and infrastructure organisations as they continue to invest heavily in their Data &amp; AI capability.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is an opportunity to join a growing AI function where you'll help deliver business-facing AI agents and automation solutions that improve decision-making, productivity and access to information across the organisation. You'll be working at the forefront of the company's AI strategy, helping shape how AI is adopted in a large-scale enterprise environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Role
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a hands-on AI Engineering role focused on designing, building and deploying AI agents using Microsoft technologies. Success will come from combining strong technical capability with an ability to understand business problems and translate them into practical AI solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   You'll:
  </strong>
 </p>
 <ul>
  <li>
   Build and deploy AI agents using Microsoft Copilot Studio
  </li>
  <li>
   Work with stakeholders to understand business requirements
  </li>
  <li>
   Design scalable, secure and governed AI solutions
  </li>
  <li>
   Integrate AI agents with business processes and data platforms
  </li>
  <li>
   Monitor and improve agent performance and adoption
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What I'm Looking For
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Communication is every bit as important as technical capability in this role. They're looking for someone who can engage stakeholders, understand complex business challenges and translate them into effective AI solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   You'll likely have:
  </strong>
 </p>
 <ul>
  <li>
   Experience building AI agents, copilots or automation solutions
  </li>
  <li>
   Microsoft Copilot Studio experience
  </li>
  <li>
   Excellent stakeholder management and communication skills
  </li>
  <li>
   Experience gathering requirements and designing solutions
  </li>
  <li>
   Microsoft Fabric or enterprise data platform experience
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  If you're an AI Engineer who enjoys combining technical delivery with stakeholder engagement and wants to help shape AI adoption within a large enterprise, I'd be keen to discuss the opportunity.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   AI Engineer
  </strong>
 </p>
</div>


AI Engineer

Annapurna

<div>
 Data &amp; AI Engineer
 <br/>
 <br/>
 <p>
  Our client is seeking a pragmatic, hands-on Data &amp; AI Engineer to design, build, and operate AI-powered applications and agents that solve real business problems. You'll join our client's team to enhance existing AI solutions, create new AI capabilities that improve workflows and decision-making, and work closely with business stakeholders and engineers to embed domain expertise into robust, production-grade AI systems.
  <br/>
  <br/>
 </p>
 Key Skills &amp; Experience
 <br/>
 <br/>
 <ul>
  <li>
   <strong>
    Python software development
   </strong>
   - Strong, production-level coding skills to build reliable, maintainable AI services.
  </li>
  <li>
   <strong>
    End-to-end software delivery
   </strong>
   - Experience designing, building, testing, deploying, and operating production-grade systems.
  </li>
  <li>
   <strong>
    AI/LLM application development
   </strong>
   - Hands-on experience creating AI or LLM-based applications used by real users, not just experimenting with consumer tools.
  </li>
  <li>
   <strong>
    AI system lifecycle
   </strong>
   - Exposure to prototyping, data preparation, evaluation, deployment, monitoring, and continuous improvement of AI systems.
  </li>
  <li>
   <strong>
    AI evaluation and metrics
   </strong>
   - Ability to design and run evaluations, and measure model/agent quality, reliability, safety, and business impact.
  </li>
  <li>
   <strong>
    Working with multiple model providers
   </strong>
   - Understanding of different model families, trade-offs in latency, cost, context limits, and deployment constraints.
  </li>
  <li>
   <strong>
    Prompt and agent design
   </strong>
   - Experience treating prompts and agent instructions as versioned, testable software artifacts.
  </li>
  <li>
   <strong>
    Systems integration
   </strong>
   - Integrating AI with APIs, enterprise applications, data platforms, and both structured and unstructured data.
  </li>
  <li>
   <strong>
    Advanced AI techniques
   </strong>
   - Familiarity with retrieval-augmented generation, tool calling, structured outputs, agent orchestration, and workflow automation.
  </li>
  <li>
   <strong>
    Model adaptation foundations
   </strong>
   - Understanding when to use prompting, retrieval, fine-tuning, and how to prepare and evaluate data and models for post-training.
  </li>
  <li>
   <strong>
    Business and data understanding
   </strong>
   - Ability to grasp complex workflows, rules, and processes, and translate them into AI-enabled solutions.
  </li>
 </ul>
</div>


Data & AI Engineer

National Grid

<div><div><div><div><div><div><div>Team</div>
<div><b>Information Technology and Digital</b>
</div><div>Business Unit</div>
<div><b>IT and Digital</b>
</div><div>Requisition No.</div>
<div><b>10530</b>
</div><div><div>City</div>
<div><b>London, GB, WC1A 2TH</b>
</div><div><b>Warwick, GB, CV34 6DA</b>
</div></div><div>Date posted</div>
<div><b>27 August 2026</b></div></div></div><p></p><div><br>
</div></div><div></div><div><h1 class="jobSectionHeader"><b>Senior AI Full Stack Engineer</b></h1><div><div><div><div><br>
</div><div><p>At National Grid, we keep people connected and society moving. But it&rsquo;s so much more than that. National Grid supplies us with the environment to make it happen. As we generate momentum in the energy transition for all, we don&rsquo;t plan on leaving any of our customers in the dark. So, join us as a <b>Senior AI Full Stack Engineer </b>and find your superpower.</p>
<p>This is a senior design role for someone who can operate across product design, AI-assisted delivery, strategic discovery and hands-on product development. The role is not limited to producing design artefacts or handing over designs to engineering. It is expected to work directly with product owners, engineers, data teams and senior stakeholders to turn ambiguous strategic intent into usable, valuable and deliverable product experiences.</p>
<p>An immediate focus for the role is the Strategic Review platform: National Grid&rsquo;s internal tool for programme visibility, strategic initiative tracking and executive-level data storytelling. The platform includes a proof-of-concept Connections Dashboard moving toward production, a financial reporting capability being scoped, and an evolving AI layer that will support analysis and chat against underlying data.</p>
<p>The Senior AI Product Designer will be responsible for the design quality, user experience and interaction model of these AI-enabled products. They will work across discovery, prototyping, interface design, design-system alignment, AI interaction design, and &mdash; where appropriate &mdash; AI-assisted front-end implementation. The role is expected to help collapse the gap between design intent and working software, using AI tools to move quickly from concept to tested, usable product experiences.</p>
<p>This role is for someone who can operate with senior autonomy: absorbing ambiguous problems, shaping them into clear product direction, creating high-quality design outputs, and partnering closely with engineering to make sure what is shipped is not only functional, but genuinely usable and valuable.</p>
<p><b>This role operates under a hybrid working model and is based out of the Warwick,UK office. Hybrid work expectations are subject to business needs and company polic</b></p>
</div></div><div><div><h3 class="jobSectionHeader"><b>Job Purpose</b></h3>
</div><div><p>We are looking for an AI Engineer to help design, build and operate AI-enabled internal products and platforms across National Grid.</p>
<p>This is a hands-on senior engineering role for someone who can move confidently between modern web application development and applied AI engineering. The role is not focused solely on model development or experimentation. It is responsible for turning AI capabilities into secure, maintainable and production-ready products that solve real organisational problems.</p>
<p>An immediate focus is the Strategic Review platform: National Grid's internal tool for programme visibility, strategic initiative tracking and executive-level data storytelling. The platform includes a Connections Dashboard moving toward production, a financial reporting capability being scoped, and an evolving AI layer supporting analysis and conversational access to underlying data.</p>
<p>The AI Engineer will develop this AI layer and the wider product capabilities around it. This includes building chat interfaces, agentic workflows, tool integrations, structured outputs, retrieval and grounding mechanisms, evaluation frameworks, observability, and appropriate human-in-the-loop controls.</p>
<p>The role requires strong experience with TypeScript, React and modern full-stack web development. Experience with the Vercel AI SDK is particularly valuable, including streaming interfaces, tool calling and agent orchestration. Payload CMS experience is a significant advantage because it is used extensively across the platform.</p>
<p>This role is for someone who can operate with senior autonomy: understanding ambiguous requirements, shaping sound technical approaches, delivering high-quality software and working closely with product, design, data, architecture and security teams to take AI products from proof of concept into production.</p>
</div></div><div><div><h3 class="jobSectionHeader"><b>What You'll Do
</b></h3></div><div><div><h4 class="jobSectionHeader"><b>AI Product Development</b></h4>
<ul><li>Design and develop full-stack AI applications using TypeScript, React, and modern web technologies.</li>
<li>Build conversational interfaces with streaming responses, intuitive user experiences, and robust error handling.</li>
<li>Develop AI solutions using frameworks such as Vercel AI SDK, LangGraph, LangChain, or similar platforms.</li>
<li>Translate business requirements into scalable, maintainable technical solutions.</li>
<li>Create reusable patterns for AI chat, workflow automation, content generation, and analytics.</li>
<li>Integrate AI capabilities into existing products and business processes.</li>
<li>Ensure high standards of performance, security, accessibility, maintainability, and code quality.</li>
</ul><h4 class="jobSectionHeader"><b>Agentic Systems &amp; Conversational AI</b></h4>
<ul><li>Design and implement AI agents capable of multi-step reasoning, tool selection, and workflow execution.</li>
<li>Develop integrations with enterprise applications, APIs, and approved data sources.</li>
<li>Define agent state, memory, context management, validation rules, retry logic, and failure handling.</li>
<li>Implement human-in-the-loop approval processes for sensitive or high-impact actions.</li>
<li>Ensure transparency through source attribution, execution tracking, and auditability.</li>
</ul><h4 class="jobSectionHeader"><b>AI Quality, Evaluation &amp; Observability</b></h4>
<ul><li>Develop evaluation frameworks, test datasets, and quality metrics for AI features.</li>
<li>Monitor answer quality, groundedness, tool usage, latency, output accuracy, and operational cost.</li>
<li>Implement logging, tracing, monitoring, and observability capabilities for AI workflows.</li>
<li>Continuously improve prompts, models, tools, and workflows through data-driven feedback.</li>
<li>Manage prompts, model configurations, and evaluation criteria as version-controlled assets.</li>
</ul><h4 class="jobSectionHeader"><b>Data &amp; Integration</b></h4>
<ul><li>Integrate AI capabilities with structured and unstructured enterprise data sources.</li>
<li>Implement retrieval, grounding, and context-engineering strategies to improve response quality.</li>
<li>Build secure integrations with APIs, content management systems, data platforms, and business applications.</li>
<li>Ensure compliance with data security, authorization, governance, and audit requirements.</li>
<li>Support source attribution, data lineage, and information freshness controls.</li>
</ul><h4 class="jobSectionHeader"><b>Engineering &amp; Delivery</b></h4>
<ul><li>Write clean, tested, maintainable code following established engineering standards.</li>
<li>Participate in architecture reviews, technical design discussions, and code reviews.</li>
<li>Implement automated testing across applications, integrations, and AI workflows.</li>
<li>Support continuous delivery while managing technical debt and maintaining enterprise standards.</li>
<li>Establish best practices for AI-assisted development tools, including GitHub Copilot, Claude Code, and related platforms.</li>
</ul><h4 class="jobSectionHeader"><b>Collaboration &amp; Leadership</b></h4>
<ul><li>Partner with Product, Design, Architecture, Security, Data, and Engineering teams.</li>
<li>Provide technical expertise throughout discovery, design, development, testing, deployment, and adoption.</li>
<li>Communicate technical recommendations, trade-offs, and risks to stakeholders.</li>
<li>Mentor engineers and contribute to AI engineering standards and best practices.</li>
<li>Help establish scalable frameworks for enterprise AI product delivery.</li>
</ul></div></div></div><div><div><h3 class="jobSectionHeader"><b>What You'll Get
</b></h3></div><div><ul><li>Proven experience as a senior Software Engineer, AI Engineer, Full-Stack Engineer or equivalent, delivering complex digital products.</li>
<li>Strong professional experience with TypeScript and React.</li>
<li>Experience building modern full-stack web applications using frameworks such as Next.js.</li>
<li>Practical experience building AI-enabled product features, not only isolated model experiments or notebooks.</li>
<li>Experience with the Vercel AI SDK or comparable AI application frameworks.</li>
<li>Experience building conversational or chatbot interfaces, including streaming responses and interaction-state management.</li>
<li>Understanding of agentic systems, tool calling, structured outputs and multi-step AI workflows.</li>
<li>Experience integrating large language models with application data and external services.</li>
<li>Ability to design clear boundaries between deterministic code and model-driven behaviour.</li>
<li>Strong understanding of API design, authentication, authorisation and secure data handling.</li>
<li>Experience testing and debugging asynchronous, distributed or integration-heavy application behaviour.</li>
<li>Understanding of AI evaluation, observability, grounding and common failure modes.</li>
<li>Ability to translate ambiguous product requirements into sound technical designs and working software.</li>
<li>Strong engineering judgement, including the ability to balance delivery speed with maintainability and operational risk.</li>
<li>Comfortable working in a fast-moving, cross-functional team where product, design and engineering decisions are made collaboratively.</li>
<li>Clear written and verbal communication with both technical and non-technical audiences.</li>
<li>High degree of autonomy and ownership from discovery through production support.</li>
</ul></div></div><div><div><h3 class="jobSectionHeader"><b>What You'll Get</b></h3>
</div><div><ul><li>Competitive Salary: circa &pound;65,000 - &pound;80,000 per annum (dependent on location, capability, and experience).</li><br>
</ul><p><br>
<b>Additional benefits:</b><br>
<br>
</p><ul><li>Flexible benefits such as a cycle scheme, share incentive plan, technology schemes</li>
<li>Ongoing career development and support to help you cover the cost of professional membership subscriptions, course fees, books, examination fees and time off for study leave &ndash; so long as it is relevant to your role</li>
<li>Access to apps such as digital GP service for round the clock access to GP video consultations and NHS repeat prescriptions, wellbeing app to support your health and fitness</li>
<li>Access to Work + Family Space, providing support and resources for work and family life, including paid emergency childcare and eldercare</li>
</ul><p>#LI-RK1 #LI-HYBRID</p>
</div></div></div><p>We value diversity and are committed to creating an inclusive workplace for all. We welcome applications from all suitably qualified candidates &ndash; we make appointments purely on merit, assessed against objective selection criteria. We support flexible working and will make reasonable adjustments throughout the recruitment process should you have any physical or mental impairment which may affect your ability to participate in the process.</p>
<p>Please note that in most cases, National Grid is unable to offer sponsorship for employment under the UK points-based immigration system. As such, applicants must have the legal right to work in the UK without requiring sponsorship now or in the future under the UK points-based immigration system. However, in exceptional circumstances where there is a clear and demonstrable need for specialist skills that cannot be sourced from the local labour market, National Grid may consider offering sponsorship. All applications are welcome from candidates who meet these requirements, regardless of race, nationality, or ethnic origin.</p></div></div></div></div></div><div></div>

Senior AI Full Stack Engineer

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