software engineer

ai engineer

senior software engineer

platform engineer

analytics engineer

ai solution engineer

Intercom

<div><div>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 &ndash; 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.</div><div><h2 class="jobSectionHeader">
What's the opportunity?</h2>

We&rsquo;re seeking a transformational Solutions Engineering leader to lead our SE team within the EMEA region. You&rsquo;ll be a pivotal figure in helping Intercom scale its AI-driven support platform to some of the world&rsquo;s most well-known brands. This role will shape how we engage with large, complex organizations, defining our go-to-market, building a world-class team, and delivering tangible customer outcomes through innovation and credibility.

This role is both strategic and hands-on. You will lead a Solutions Engineering team focused on winning complex deals, creating vertical-specific solution architectures, and building repeatable playbooks. We believe in leaders who are open to be a player and a coach, regardless of seniority. You&rsquo;ll collaborate closely with Sales, Success, Product, Engineering, and Services to deliver customer transformation through Intercom&rsquo;s AI-first platform &ndash; be it through strategic guidance as a senior leader on the team, or securing deals with your own technical credibility where needed.
<h2 class="jobSectionHeader">
What will I be doing?</h2>
<ul><li>Define and evolve the strategic vision and go-to-market (GTM) approach for the Solutions Engineering function.</li>
<li>Lead, coach, and scale a high-performing SE team across global regions and core verticals.</li>
<li>Operate as a player-coach, actively engaging in strategic deals while developing team capabilities.</li>
<li>Support complex, six-figure sales cycles with technical guidance, architecture, demos, and product evaluation support, as well as sales expertise.</li>
<li>Serve as a trusted technical advisor and executive point of contact for large customers.</li>
<li>Partner closely with Sales, Product, Marketing, and R&amp;D to shape verticalized GTM motions and solution strategy.</li>
<li>Champion a customer-obsessed culture across the pre-sales journey &ndash; from outbound to implementation.</li>
<li>Lead discovery, design, and delivery of tailored technical solutions, including PoCs and business value assessments.</li>
<li>Build reusable, scalable solution frameworks, and industry-specific technical assets.</li>
<li>Advocate for customer needs and insights internally to influence product roadmap and prioritization.</li>
<li>Represent Intercom and the SE function externally through executive meetings and strategic events.</li>
<li>Foster strong relationships with C-level stakeholders, translating AI product capabilities into tangible business impact.</li>
</ul><h2 class="jobSectionHeader">What skills do I need?</h2>
<ul><li>5+ years of pre-sales experience as a Sales Engineer, Solutions Engineer/Architect, or related individual contributor role.</li>
<li>Having 3+ years of experience leading technical pre-sales teams, with a proven track record of hiring, mentoring, and managing high-performing teams.</li>
<li>Ideally, experience selling AI, data, or highly technical products; or at the very least, deep curiosity and utilization of AI on your day-to-day.</li>
<li>Comfortable with ambiguity in environments with an ability to stay focused and thrive under pressure while working with customers to solve their most challenging issues.</li>
<li>Have a humble attitude, and a passion to help others, with a willingness to learn whatever it takes to support the team and help our customers thrive.</li>
<li>A track record of consistently delivering revenue numbers, producing accurate forecasts, while maintaining a focus on team development and growth</li>
<li>Able to travel internationally on average once a month</li>
<li>Ability to flex working hours to partner with teams in US and APAC.</li>
<li>Excellent communication and presentation skills</li>
</ul>
#LI-Hybrid</div><div>
At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. 
 
Learn more about working at Fin and the benefits we offer at fin.ai/careers.

Policies

Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.
Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.</div></div>

Senior Manager, Solutions Engineering

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Sales
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. 
D360 FORWARD DEPLOYED ENGINEER
<h1 class="jobSectionHeader">About Salesforce
</h1>Salesforce brings customer data, CRM, analytics, and AI together on a trusted platform. Our teams help organizations turn complex business and data requirements into secure, scalable solutions. In this role, you will help customers put Data 360 into production and build the technical foundation for reliable, enterprise-grade use cases.
<h1 class="jobSectionHeader">About the Role
</h1>Production implementation experience required. Builder mindset non-negotiable.
Salesforce is hiring Forward Deployed Engineers focused on Data 360, Salesforce&rsquo;s real-time data engine that unifies data from any source. As a Forward Deployed Engineer, you will be a hands-on Technical Builder who configures, builds, tests, and deploys Data 360 directly inside enterprise customer environments. You will turn approved solution designs and acceptance criteria into working implementations across ingestion, harmonization, identity, insights, activation, retrieval, security, and operational readiness.
Data 360 is also the data foundation for Agentforce - and grounding agents in accurate, real-time enterprise data is deep data engineering. You'll go further into RAG, vector search, MCP, and agent-to-agent integration than most data roles ever touch, because the agents are only as good as the layer you build.
You'll work within a delivery team that includes architects, deployment strategists, Agentforce FDEs, account teams, and customer technical teams. Engagements may span a focused proof, production rollout, and stabilization. The common thread is real customer data, disciplined testing, and a supportable handoff.
This is a hands-on data and software engineering role . You will build in real enterprise customer environments - writing SQL, Python, and Apex; building ingestion pipelines; debugging identity resolution; and shipping working implementations from sandbox through production. If you're looking for a purely declarative configuration role or a pure advisory role, this isn't it.
<h1 class="jobSectionHeader">What You'll Do
</h1><ul><li>Build in customer environments. Configure and develop directly in customer sandboxes and production - using Data 360 configuration, SQL, Apex, Flow, Python, the REST Query API, the Interaction SDK, Salesforce DX, CLI, Git, Data Kits, and deployment tooling as required - following security, change-management, and release controls.
</li><li>Engineer the data layer. Build ingestion, harmonization, and identity resolution across batch and streaming sources. Materialize views of data optimized for specific application, analytical, and agentic workloads, tuning latency and cost tradeoffs to meet use-case requirements. Work with customer data and AI teams to ensure implementations align with their existing strategies (e.g., data mesh, data fabric).
</li><li>Prove it works. Create representative test data and validate expected outcomes across happy paths, edge cases, access boundaries, hierarchy behavior, failure conditions, and customer-scale volumes.
</li><li>Ground the agents. Design, build, and maintain the AI data integration layer - RAG (Retrieval-Augmented Generation), vector databases, search indexes, and knowledge bases - that grounds Agentforce solutions in accurate, real-time enterprise data.
</li><li>Orchestrate agent communication. Design and implement the protocols - including Model Context Protocol (MCP) and agent-to-agent communication - that govern, monitor, and ensure efficient collaboration among specialized AI agents.
</li><li>Connect the ecosystem. Implement robust, scalable, and secure data integration patterns that connect Agentforce to a wide range of enterprise applications and enable communication between AI agents.
</li><li>Govern the data. Apply deep data management expertise to ensure the secure integration, transformation, and governance of structured and unstructured data across the Salesforce ecosystem (CRM, Data Cloud) and external systems.
</li><li>Build for scale and security. Apply knowledge of message queues, event-driven architecture, and distributed systems to build resilient workflows and implement secure authentication and authorization protocols (OAuth, SAML) so that all agent actions are secure and comply with enterprise security policies.
</li><li>Debug the hard problems. Troubleshoot ingestion failures, mapping defects, schema drift, identity anomalies, query behavior, activation latency, API errors, permissions, and consumption issues - methodically, with logs and query evidence, isolating product behavior from configuration error.
</li><li>Own implementation decisions. Compare viable techniques within the approved architecture, document measured tradeoffs, and recommend the most maintainable implementation to the responsible architect or technical lead.
</li><li>Accelerate with AI. Use AI tooling - including Data 360 APIs and MCP Servers - to automate the build process and compress customers' time to value.
</li><li>Co-build and hand off. Work alongside customer technical teams and partners through pairing, code reviews, and configuration reviews. Package reusable metadata, scripts, queries, tests, and runbooks so the solution can be reproduced and supported. Support deployment, validation, production handoff, and early stabilization, leaving clear ownership and known limitations.
</li><li>Feed the roadmap. Surface reproducible platform gaps and edge cases - with live evidence, impact, and expected behavior - directly to Product and Support.
</li></ul>You're Our Data 360 Forward Deployed Engineer If...
<ul><li>You have 5+ years of experience in software engineering, data engineering, or technical implementation , including a production data solution you can explain in detail.
</li><li>You have a bachelor's degree in Computer Science or equivalent practical experience.
</li><li>You have hands-on experience implementing Salesforce Data 360 (Data Cloud) or a comparable enterprise data platform across ingestion, modeling, identity, insight, activation, and operations.
</li><li>You have hands-on experience building data pipelines and integrations using at least one enterprise data platform or technology, such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or an enterprise MDM platform.
</li><li>You are proficient in SQL and can build, debug, and optimize multi-table queries, joins, filters, transformations, and validation checks.
</li><li>You are fluent in at least one implementation language used in enterprise delivery - Apex, Java, Python, or JavaScript/TypeScript - and are willing to learn the others as needed.
</li><li>You understand data modeling, APIs, integration patterns, batch and streaming processing , and the practical differences between copied, federated, and Zero Copy data access.
</li><li>You've built retrieval systems for AI applications - vector databases, search indexes, embedding pipelines, or knowledge bases - and can explain the design decisions behind chunking, indexing, and relevance.
</li><li>You've implemented secure service-to-service integration patterns (OAuth, SAML, event-driven architectures) and are conversant in emerging agent protocols like MCP and agent-to-agent communication.
</li><li>You can implement secure data access and rigorously test it, including permissions, entitlements, consent, user context, restricted populations, and negative test cases .
</li><li>You diagnose technical problems methodically , use logs and query evidence, isolate product behavior from configuration errors, and document a reproducible result.
</li><li>You can implement against a documented architecture , explain what you built to customer technical teams, and recognize when a question requires an architect or security owner.
</li><li>You have delivered alongside customers, partners, professional services, or internal implementation teams in deadline-driven environments .
</li><li>You are excited to work directly with customer administrators, developers, data engineers, and architects.
</li><li>You have relevant certifications in Salesforce Agentforce, Data 360, and the Salesforce Platform. 
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</div>

Data360 FDE

Barclays

<div><div>Date live: 25/08/2026
 Business Area: Chief Technology Office
 Area of Expertise: Technology
 Contract: Permanent
 Reference Code: JR-0000125259</div></div>
 <div>Join Barclays as a Senior AI Platform Engineer, where you will lead the design, delivery, and operational excellence of our enterprise AI infrastructure. You will own the engineering quality and technical direction across core platform subsystems including the AI Gateway, inference routing, guardrails, and observability - ensuring they are secure, scalable, and production-grade.
This role combines technical leadership with hands-on delivery. You will drive execution across workstreams, set engineering standards, remove blockers for the team, and coach engineers to grow their skills and autonomy.
To be successful as a Senior AI Platform Engineer, you must have the following essential skills;
<ul><li>Platform/infra architecture at enterprise scale &mdash; distributed systems, active-active, failover patterns</li>
<li>Expert Python (FastAPI/async) or Go/Java &mdash; high-throughput, low-latency production systems</li>
<li>Deep AWS/EKS/Envoy &mdash; Bedrock, IAM, Aurora, CloudFormation, GPU scheduling, multi-tenancy, service mesh (Istio), envoy</li>
<li>GenAI/Agentic AI &mdash; LangGraph/LangChain or Google ADK, MCP/A2A protocols, prompt engineering, RAG, vLLM serving</li>
</ul>Some other highly valued skills may include;
<ul><li>AI safety/guardrails &mdash; prompt injection detection, PII redaction, content filtering</li>
<li>AI security frameworks &mdash; NIST AI RMF, MITRE ATLAS, OWASP LLM Top 10</li>
<li>Envoy Proxy (xDS API, WASM filters, AI Gateway extensions)</li>
<li>Financial services background &mdash; regulatory, data residency, compliance</li>
</ul>You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills
Location is London
Purpose of the role
To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
Accountabilities
<ul><li>Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.</li>
<li>Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.</li>
<li>Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.</li>
<li>Stay informed of industry technology trends and innovations and actively contribute to the organization&rsquo;s technology communities to foster a culture of technical excellence and growth.</li>
<li>Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.</li>
<li>Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.</li>
</ul>Vice President Expectations
<ul><li>To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..</li>
<li>If managing a team, they define jobs and responsibilities, planning for the department&rsquo;s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..</li>
<li>If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L &ndash; Listen and be authentic, E &ndash; Energise and inspire, A &ndash; Align across the enterprise, D &ndash; Develop others..</li>
<li>OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..</li>
<li>Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.</li>
<li>Manage and mitigate risks through assessment, in support of the control and governance agenda.</li>
<li>Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.</li>
<li>Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.</li>
<li>Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.</li>
<li>Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.</li>
<li>Adopt and include the outcomes of extensive research in problem solving processes.</li>
<li>Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.</li>
</ul>All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship &ndash; our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset &ndash; to Empower, Challenge and Drive &ndash; the operating manual for how we behave.</div>

Senior AI Platform Engineer

Travtus

<div><h1 class="jobSectionHeader">Solution Consultant &ndash; Client Solutions &amp; Platform Enablement</h1>
London (On-site, Farringdon office)
Full-time | &pound;70,000 &ndash; &pound;85,000<h2 class="jobSectionHeader">
Job Summary</h2>
We&rsquo;re looking for a Solution Consultant who combines structured business analysis with strong technical fluency and deep platform ownership.
This role sits at the intersection of clients, product, and engineering. You will lead discovery, design scalable solutions using the Travtus Everyday (AI) platform, configure workflows and automation logic, and ensure successful deployment and adoption.
You will operate as a trusted advisor to clients &mdash; understanding their operational challenges in depth and translating them into either structured product requirements or robust platform configurations. You&rsquo;ll need to be comfortable discussing APIs, integrations, workflows, and system behaviour with technical teams, while maintaining credibility with senior business stakeholders.
This is not a purely functional BA role, nor a pure pre-sales role. It is a hybrid position requiring business structure, systems thinking, and hands-on solution design capability.<h2 class="jobSectionHeader">
About Travtus</h2>
Travtus is transforming the Housing Industry with our Everyday (AI) platform. We bring intelligence and automation together in one place so teams can move faster and work smarter. By delivering everyday AI decisions and workflows across the systems operators already use, we help organisations improve efficiency while enhancing the resident experience.<h2 class="jobSectionHeader">
About the Role</h2><h3 class="jobSectionHeader">
Client Discovery &amp; Structured Analysis</h3><ul><li>
Lead structured discovery workshops with operational and senior stakeholders.</li><li>
Understand workflows, constraints, data structures, integrations, and success metrics.</li><li>
Translate ambiguous business problems into clear process maps, decision trees, and solution hypotheses.</li><li>
Challenge assumptions and guide clients toward scalable, product-aligned solutions.</li></ul><h3 class="jobSectionHeader">
Solution Design &amp; Platform Configuration</h3><ul><li>
Design and configure workflows, rules, automation logic, and system mappings within the Travtus platform.</li><li>
Convert business requirements into structured configuration and system behaviour.</li><li>
Think in decision trees, edge cases, exception handling, and data dependencies.</li><li>
Ensure solutions are scalable, maintainable, and aligned with the long-term product vision.</li><li>
Own solution quality from design through deployment.</li></ul><h3 class="jobSectionHeader">
Technical Collaboration &amp; Integrations</h3><ul><li>
Work closely with Engineering and Product when new functionality or enhancements are required.</li><li>
Translate client requirements into well-structured user stories and acceptance criteria.</li><li>
Confidently discuss APIs, data schemas, integrations, and system interactions.</li><li>
Support troubleshooting of configuration and data-related issues during implementation.</li><li>
Validate that integrations and automation behave as intended in real-world scenarios.</li></ul><h3 class="jobSectionHeader">
Testing, Validation &amp; Business Outcomes</h3><ul><li>
Define acceptance criteria rooted in real business use cases.</li><li>
Support UAT and validate that configured solutions reflect documented intent.</li><li>
Identify gaps between expected and actual system behaviour.</li><li>
Ensure measurable client value is delivered through effective solution design.</li></ul><h3 class="jobSectionHeader">
Client Training &amp; Enablement</h3><ul><li>
Develop and deliver structured training sessions for client teams.</li><li>
Create clear documentation and enablement materials.</li><li>
Ensure clients understand both how the platform works and how to optimise its impact.</li><li>
Support long-term adoption through clear guidance and workflow embedding.</li></ul><h3 class="jobSectionHeader">
Product Feedback &amp; Continuous Improvement</h3><ul><li>
Identify recurring patterns in client needs and feed structured insights into the product roadmap.</li><li>
Balance bespoke requests with platform scalability.</li><li>
Contribute to internal best practices, reusable configuration frameworks, and implementation playbooks.</li><li>
Help improve onboarding, deployment, and documentation processes.</li></ul><h2 class="jobSectionHeader">
Requirements</h2>
We&rsquo;re looking for someone analytical, technically fluent, and client-confident &mdash; capable of moving seamlessly between business strategy and system logic.<h3 class="jobSectionHeader">
Must-Have</h3><ul><li>
Proven experience in a Solution Consultant, Implementation Consultant, Technical Business Analyst, or similar hybrid SaaS role.</li><li>
Strong business analysis capability &mdash; including structured discovery, process modelling, and requirement documentation.</li><li>
Experience working with complex SaaS platforms.</li><li>
Hands-on experience configuring systems, workflows, or rule-based automation.</li><li>
Comfort discussing APIs, integrations, and data structures (no coding required, but strong technical fluency expected).</li><li>
Ability to translate business needs into structured user stories and acceptance criteria.</li><li>
Experience supporting UAT and business-led validation.</li><li>
Strong stakeholder management skills, including senior client exposure.</li><li>
Excellent communication and presentation skills.</li><li>
Confident operating in a startup or scale-up environment with evolving requirements.</li></ul><h3 class="jobSectionHeader">
Nice-to-Have</h3><ul><li>
Experience with AI-driven, workflow-heavy, or automation platforms.</li><li>
Exposure to REST APIs, webhooks, Postman, or integration tools.</li><li>
Experience in housing, property, or regulated industries.</li><li>
Experience developing training programmes or enablement frameworks.</li><li>
Exposure to QA processes or deployment cycles.</li></ul><h2 class="jobSectionHeader">
About the Team</h2>
We&rsquo;re a highly collaborative, product-driven team that values clarity, ownership, and impact. Solution Consultants play a central role in connecting client reality with product evolution, ensuring business intent is accurately translated into scalable technical solutions.
We believe in the value of in-person collaboration, with team members spending at least three days a week in our modern Farringdon office.<h2 class="jobSectionHeader">
Benefits</h2><ul><li>
Be part of a fast-growing, mission-driven startup</li><li>
Hands-on exposure to applied AI in a real-world, high-impact sector</li><li>
High ownership and visibility across client and product teams</li><li>
Private healthcare</li><li>
Pension</li><li>
Deliveroo allowance</li></ul></div>

Solution Consultant – Client Solutions & Platform Enablement

Oliver Bernard

<div>
 
 🚀
 
 Staff AI Engineer | Stealth Mode AI Start-up | London | Up to &pound;200k
 
 
 
 
 
 
 Oliver Bernard have partnered with a
 
 stealth-mode start-up in the AI &amp; Research space
 
 , who are looking for a Staff AI Engineer to join the team and work on some genuinely challenging problems across LLMs, reinforcement learning and agentic systems.
 
 
 
 
 
 This is a hands-on research + engineering role, where you&rsquo;ll be involved in:
 
 
 
 
 
 🧠
 
 LLM training &amp; fine-tuning
 
 &ndash; including reinforcement learning and post-training
 
 
 🔄
 
 Evaluation &amp; feedback loops
 
 &ndash; building systems to continuously assess and optimise models
 
 
 🤖
 
 Agent development
 
 &ndash; designing and building sophisticated AI agents
 
 
 🔬
 
 AI research
 
 &ndash; exploring LLM training, RL, evaluation and optimisation techniques
 
 
 💻
 
 Software engineering
 
 &ndash; applying strong engineering fundamentals to complex AI problems
 
 
 
 
 
 
 What they&rsquo;re looking for:
 
 
 
 
 
 <ul>
 <li>
 Strong experience working with
 
 LLMs and/or foundation models
 
 </li>
 <li>
 Deep experience with
 
 training, fine-tuning, RL or post-training
 
 </li>
 <li>
 Strong background in
 
 model evaluation and optimisation
 
 </li>
 <li>
 Experience building
 
 AI agents / agentic systems
 
 </li>
 <li>
 Excellent software engineering fundamentals
 </li>
 <li>
 A strong track record in
 
 AI research
 
 and solving technically complex problems
 </li>
 </ul>
 
 
 
 
 📍
 
 London &ndash; 2 days hybrid
 
 
 
 💰
 
 Up to &pound;200k
 
 
 
 
 
 
 If you&rsquo;re a
 
 Staff-level AI Engineer
 
 who wants to work at the intersection of
 
 cutting-edge research and production engineering, apply below for more information.
 
 
 
 
 
 
 
 London | Stealth | Staff AI Engineer
 
 
</div>

Staff AI Engineer - Stealth Start-up - London

<div>
 
 JOB DETAILS
 
 
 
 
 
 Role Title: AI Engineer
 
 
 
 
 
 Must have skills:
 
 
 &bull; Proven experience as an AI, Machine Learning, or Privacy Engineer.
 
 
 &bull; Proficiency in programming languages such as Python is added advantage.
 
 
 &bull; Experience with deep learning frameworks like TensorFlow, PyTorch, or JAX.
 
 
 &bull; Experience working with multi-cloud technologies. GCP is mandatory.
 
 
 &bull; Excellent analytical and communication skills, with the ability to explain complex technical and privacy concepts to non-technical stakeholders
 
 
 &bull; Experience with adversarial testing and robustness evaluation of AI models.
 
 
 &bull; Experience in the end-to-end development of AI/ML models and applications.
 
 
 &bull; Ability to lead and train the team on model training
 
 
 
 
 
 Minimum number of relevant years of experience: 8-10
 
 
 
 
</div>

Artificial Intelligence Engineer

NTT DATA

Make an impact with NTT DATA
 Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.
 
Your day at NTT DATA
 
We are seeking an accomplished and detail-oriented Snowflake Data Engineer to join our Data AI practice. The successful candidate will bring deep expertise in data engineering, ETL/ELT pipelines, and cloud-native data platforms, with a strong focus on Snowflake. This role is critical in building and optimizing modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients.
 
As a trusted practitioner, you will collaborate with architects, developers, and analysts to design, implement, and maintain secure and high-performing data pipelines. You will thrive in a collaborative, client-facing environment, with a passion for solving complex data challenges, driving innovation, and ensuring the seamless delivery of data solutions.
 
Looking ahead to future opportunities. As our business continues to grow, we are building a pipeline of exceptional talent for upcoming positions across the UK. This advertisement is intended to identify and engage candidates in advance of specific vacancies becoming available. We encourage you to apply if you would like to be considered for future opportunities that match your expertise
 
Primary Responsibilities
 <ul>
<li>Client Engagement Delivery</li>
<li>Data Pipeline Development (Batch and Streaming)</li>
<li>Snowflake Cloud Data Platforms</li>
<li>Data Architecture Modelling</li>
<li>Collaboration Best Practices</li>
<li>Quality, Governance Security</li>
</ul>
Business Relationships
 <ul>
<li>Solution Architects</li>
<li>Data Engineers, Developers, ML Engineers and Analysts</li>
<li>Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership</li>
</ul>
To thrive in this role, you need to have: 
Key Competencies
 <ul>
<li>Proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms.</li>
<li>Strong consulting values with ability to collaborate effectively in client-facing environments.</li>
<li>Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.</li>
<li>Strong problem-solving, analytical, and communication skills.</li>
<li>Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions.</li>
</ul>
Technical Expertise
 <ul>
<li>Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning).</li>
<li>Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.</li>
<li>Strong SQL and Python (or equivalent language) skills for data manipulation and automation.</li>
<li>Hands-on experience with cloud platforms (AWS, Azure, GCP).</li>
<li>Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).</li>
<li>Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop).</li>
<li>Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.</li>
<li>Understanding of data governance, security, and compliance frameworks.</li>
<li>Exposure to AI/ML workloads desirable.</li>
</ul>
Experience, Qualifications, and Education
 <ul>
<li>Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3 years working with Snowflake.</li>
<li>Education: University degree required.</li>
<li>Preferred: BSc/MSc in Computer Science, Data Engineering, or related field</li>
<li>Snowflake certifications (SnowPro Core, Advanced) highly desirable.</li>
</ul>
Measures of Success
 <ul>
<li>Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements.</li>
<li>High client satisfaction and successful adoption of Snowflake-based solutions.</li>
<li>Demonstrated ability to innovate and improve data engineering practices.</li>
<li>Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership.</li>
</ul>
Workplace type: 
About NTT DATA
 NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune
 
Global 100. We are committed to accelerating client success and positively impacting society through
 
responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with
 
unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and
 
application services. Our consulting and industry solutions help organizations and society move
 
confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more
 
than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as
 
established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each
 
year in RD.
 
Equal Opportunity Employer
 NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
 
Third parties fraudulently posing as NTT DATA recruiters
 
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Snowflake Data Engineer

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