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artificial intelligence engineer

ai outcome customer engineer cloud ai tech gtm

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>6 years of experience with cloud-native architecture in technical delivery, customer engineering, or enterprise architecture and in a customer-facing or enterprise support role.</li>
<li>Experience in technical deployment planning, architecture orchestration, or technical delivery management.</li>
<li>Experience with enterprise integrations (APIs, ECMs, identity), Cloud infrastructure, and AI/ML model deployments.</li>
<li>Experience with programming languages, API integration, debugging, or enterprise systems design.</li>
<li>Experience leading technical delivery strategies, debugging systems, and interfacing with product/engineering organizations.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>L300/L400 level technical proficiency or relevant AI/ML and Cloud architecture certifications.</li>
<li>Experience guiding customers through the architectural and organizational transformations needed to deploy production-grade AI models or agents in enterprise environments.</li>
<li>Technical experience in one or more of the following: Cloud AI solutions, Enterprise Data Management, Data Analytics, Infrastructure Modernization, Security, or Cloud Networking.</li>
<li>Ability to dive deep into novel technical problems, decipher extreme ambiguity, diagnose bugs, and emerge with credible architectural solution.</li>
<li>Proven track record interfacing directly with core product and engineering organizations to escalate product bugs, advocate for feature gaps, and unblock systemic deployments.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
The Google Cloud Platform team helps customers transform and build what's next for their business &mdash; all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers &mdash; developers, small and large businesses, educational institutions and government agencies &mdash; see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As an AI Outcome Customer Engineer (AI OCE), you will drive initial and ongoing revenue ramp for our enterprise customers, clearing complex blockers and ensuring they realize maximum business value from their Cloud AI investments faster. You will manage and execute the technical deployment plan, transitioning scoped license agreements into robust production deployments by providing authoritative technical leadership to customers and partners. 
You will have a direct impact on the velocity and incremental consumption of customer agreements, leading to accelerated value realization, higher adoption, and future expansion opportunities. You will blend sales acumen, enterprise architecture knowledge, technical engagement, and technical delivery management to prove and scale the value of Google's premier Cloud AI solutions.
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Develop and orchestrate a structured, end-to-end technical deployment plan across customer and partner teams. Lead upfront architectural validation to ensure integration readiness before execution begins.</li>
<li>Dive into complex technical workflows to diagnose, debug, and resolve implementation roadblocks. Act as a technical bridge to core product and support engineering teams to eliminate systemic friction and accelerate customer delivery.</li>
<li>Drive and track the progress of the initial and ongoing ramp of Cloud AI license agreements, guiding enterprise workloads from agreement to active consumption as rapidly and securely as possible.</li>
<li>Partner collaboratively with Account an CEs team during the technical evaluation phase of key deals to ensure proposed Cloud AI solutions are architected for viable, scalable long-term adoption.</li>
<li>Drive sustainable, secure Cloud AI product usage to help customers continuously realize quantifiable business outcomes and secure future contract renewals.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

AI Outcome Customer Engineer, Cloud AI Tech GTM

Anthropic

<div><div><h2 class="jobSectionHeader">About Anthropic</h2>

Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</div><div><h2 class="jobSectionHeader">
About the role</h2>

As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.
<h2 class="jobSectionHeader">
Responsibilities:</h2>
<ul>
<li>Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.
</li>
<li>Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment
</li>
<li>Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.
</li>
<li>Partner Ecosystem &amp; Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.
</li>
</ul><h2 class="jobSectionHeader">You may be a good fit if you have:</h2>
<ul>
<li>5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager
</li>
<li>Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery
</li>
<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more
</li>
<li>Strong presentation &amp; technical communication skills with the ability to translate requirements between technical and business stakeholders
</li>
<li>Experience designing scalable cloud architectures and integrating with enterprise systems
</li>
<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science
</li>
<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
</li>
<li>A love of teaching, mentoring, and helping others succeed
</li>
<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
</li>
</ul></div><div><div><div><div>The annual compensation range for this role is listed below.

For sales roles, the range provided is the role&rsquo;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</div></div>
Annual Salary:
&pound;165,000 - &pound;190,000 GBP</div></div><div><h2 class="jobSectionHeader">
Logistics</h2>

Minimum education: Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 
 
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.
<h2 class="jobSectionHeader">
How we're different</h2>

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
<h2 class="jobSectionHeader">
Come work with us!</h2>

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.</div></div>

Applied AI Architect, Partnerships

Bluefish AI

<div>About the Position

As a Staff AI Engineer, you&rsquo;ll serve as a technical leader for our LLM-powered products at the forefront of marketing and advertising technologies. You&rsquo;ll own critical architectural decisions, set quality bars, and lead multi‑team initiatives that drive measurable outcomes.

As our Staff AI Engineer, you will lead the vision and execution of our data platform and LLM-powered products. You&rsquo;ll own critical architectural decisions across data pipelines, model integration, model deployment and evals: turning high-level product and business requirements into robust, scalable data products that drive measurable outcomes for our Fortune 500 customers. This role spans data backend and ML engineering: from the reliability and cost efficiency of our pipelines to the outcome and performance of LLM-enabled features. You&rsquo;ll raise the bar for data literacy across the department, craft and collaboration.

You&rsquo;ll be accountable for the health, cost, and evolution of key data product and data platforms, partnering closely with full-stack engineers, product, design, and devops to deliver outcomes our customers can trust.

This role presents an exciting opportunity to shape the future of AI-driven technologies and make meaningful contributions to real-world applications.

The role is linked with our location in London, but we are flexible about hybrid or remote work in The United Kingdom.

What You&rsquo;ll Be Doing
<ul>
<li>Lead end-to-end architecture for data platforms and pipelines: scraping, data extraction, transformation, storage, serving, and ML/LLM integration, balancing performance, reliability, security, and cost.</li>
<li>Incrementally scale pipelines and systems: design safe rollout plans and north star data-quality metrics to handle customer and traffic growth without impacting production.</li>
<li>Translate business goals into actionable data products: assess high-level requirements, carve clear problem spaces, draft crisp RFCs, and sequence work into deliverable projects for the team.</li>
<li>Establish and enforce engineering standards: testing strategy, evals, observability, data contracts, and security practices across services. Think through short-term and long-term goals to come up with fast go-to-market products, while planning ahead for productization.</li>
<li>Up‑level the org: lead architecture reviews, codify patterns, mentor Senior Engineers, and multiply impact through documentation, code reviews, and pairing.</li>
<li>Startup‑ready: flexible, comfortable with ambiguity and constant change; proactive about process, documentation, and reliability without over‑engineering.</li>
<li>Lead the collaboration and define how AI engineers work cross-functionally with software engineers, devops, product managers and designers, to conceptualize and shape innovative and impactful solutions. Provide mentorship to junior team members and cultivate a culture of collaboration and innovation.</li>
<li>Ship meaningful experiments: prototype data/ML capabilities, evaluate feasibility and ROI, and make pragmatic calls on productionalizing with an eye on operating costs and risk.</li>
</ul>
Qualifications
<ul>
<li>8+ years building and operating production data systems, including leading cross-cutting architectural changes, and deploying LLMs in real‑world scenarios at scale.</li>
<li>Deep experience Python and modern service architectures; strong system design and data modeling fundamentals.</li>
<li>Extensive experience with training and deploying machine learning models, particularly within the NLP/LLM domain. Proficiency in Python. Familiarity with infrastructure as code, CI/CD, and cloud infrastructure.</li>
<li>Fluency in operational maturity: SLOs, on‑call/incident practices, and observability.</li>
<li>Strong analytical and problem-solving abilities, with a bias towards action and outcomes. Experience with data preprocessing, feature engineering, and model evaluation techniques.</li>
<li>Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Demonstrated leadership experience, with the ability to guide and inspire a team.</li></ul> 


About Bluefish:

Bluefish believes that AI represents the next major chapter of the internet &ndash; and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers online &ndash; and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage AI brand safety and engage consumers with thoughtful and personalized AI marketing experiences.

The Bluefish team is a tight-knit group of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft. Bluefish, the leading AI marketing platform for the Fortune 500, recently announced a $43 million Series B growth financing co-led by Threshold Ventures and NEA with participation from multiple enterprise investors including Amex Ventures, TIAA Ventures, Salesforce Ventures, and continued participation from Bloomberg Beta. We are a globally distributed team, with business operations based in New York City and engineering based in Europe and New York.

Why Bluefish &amp; Our Values:
<ul>
<li>Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI</li>
<li>Tackle challenging and abstract problems while disrupting the $300BN legacy mar-tech industry</li>
<li>Join an experienced high-performing team where you will have immediate ownership and impact</li>
<li>Experience a true meritocracy with significant career growth upside as the business scales</li>
</ul>
Our Values:
<ul>
<li>Demonstrated grit and resourcefulness - you find creative solutions, adapt quickly, and aren&rsquo;t afraid to roll up your sleeves in a fast-paced, evolving environment.</li>
<li>Thoughtful and strategic thinker with the ability to anticipate needs, ask the right questions, and deliver insights that truly drive value.</li>
<li>Proven ability to collaborate across functions and roles, fostering open communication and shared ownership of outcomes.</li>
<li>Commitment to craftsmanship - you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind.</li>
<li>Self-starter with a proactive mindset and a strong sense of accountability - able to drive projects forward independently while staying aligned with team goals.</li>
<li>Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done.</li></ul></div>

Staff AI Engineer

Taktile

<div><h2 class="jobSectionHeader">About the Role</h2>
Taktile empowers financial institutions to transform into truly AI-native organizations. We&rsquo;re growing rapidly with enterprise customers across banks and insurance companie.
Internally, we believe the companies that win the next decade will be the ones that turn AI from a tool into a multiplier - embedded into how every team works, not just shipped as a product feature.
We're looking for an AI Enablement Engineer to make this the reality at Taktile. This is a high-leverage, internal-facing engineering role: you won't be building features for our customers, you'll be building the tools, integrations, and workflows that make every Taktilian faster and better at their job - from engineers shipping code, to GTM teams responding to customers, to operations closing the books.
You'll be the first hire dedicated to this mission, working closely with team leads across the company to identify, build, and scale the AI workflows with the biggest impact. Taktile is a hybrid company.
This role requires working at least 3 days per week from one of our offices in Berlin, Iasi, or London.<h2 class="jobSectionHeader">
What you&rsquo;ll do</h2><ul><li>
Find the highest-leverage workflows. Embed with teams across Engineering, GTM, Customer Success, Finance, and Operations to identify where AI can remove the most friction.</li><li>
Build internal tools and agents end-to-end that wire Taktile's SaaS stack (HubSpot, Notion, Linear, Gong) into our engineers' and operators' daily workflows. Own scope, design, implementation, rollout, and iteration.</li><li>
Evolve AI architecture based on internal customer needs and tangible, measurable improvements.</li><li>
Drive adoption, not just deployment. Run hands-on workshops, pair sessions, and office hours to teach teams how to actually use what you ship. Measure success in real adoption and time saved, not features delivered.</li><li>
Partner with Security and IT on governance. Apply least-privilege principles from day one. Build the guardrails, access scoping, and audit trails that let us move fast on AI without exposing customer data or production systems.</li><li>
Stay on the frontier. Know when new tools and models release, which ones are worth experimenting with, and bring the best of it back into the business.</li></ul><h2 class="jobSectionHeader">
Requirements</h2><ul><li>
3+ years of professional software engineering experience, with a track record of shipping production systems end-to-end.</li><li>
Production-grade coding ability in Python in cloud-native environment.</li><li>
Hands-on experience building with modern LLM tooling - agent frameworks, tool use, prompt engineering, MCP, evals. You've shipped something real, not just experimented in a notebook.</li><li>
Strong SaaS API integration experience - REST, webhooks, OAuth, idempotency, the messy realities of stitching real systems together.</li><li>
Exceptional communication and stakeholder skills with technical and non-technical operators alike.</li><li>
A bias for adoption over abstraction. You measure your work by who's using it next week, not by how elegant the architecture is.</li><li>
Fluent English, both written and spoken.</li></ul><h2 class="jobSectionHeader">
Ideal, but not required</h2><ul><li>
Prior experience in a technical enablement, internal tools, DX, or platform engineering role.</li><li>
Experience integrating unstructured data into AI workflows.</li><li>
Familiarity with AI governance and data classification in a regulated industry.</li><li>
You've run workshops or internal trainings and enjoy doing them.</li></ul><h2 class="jobSectionHeader">
Our Stack</h2><ul><li>
AI: Claude</li><li>
Programming Language: Python</li><li>
Data Platform: AWS, Snowflake, dbt, Terraform</li><li>
Internal Tools: Notion, Linear, HubSpot, Gong, Ramp</li></ul><h1 class="jobSectionHeader">
About us</h1>
Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents.
With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions&mdash;approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding.
Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo.
With offices in New York, Berlin, London, S&atilde;o Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com.<div></div> 
About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process.
Your Privacy. Taktile (&ldquo;we&rdquo; or &ldquo;us&rdquo;) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references.
How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities.
Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)).
Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates&rsquo; data becomes part of their employment records.
Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent.
Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review.
International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.
By submitting your application, you acknowledge that you have read and understood Taktile&rsquo;s Applicant Privacy Policy. To exercise your rights or ask questions, contact privacy@taktile.com.</div>

AI Enablement Engineer

Quantum

<div>Our Company 
At Quantum, we connect global brands with high-intent consumers. We turn intent into action and complexity into clarity.
Our Mission is clear, to help smarter, faster buying decisions. Our vision, to be the world&rsquo;s most used digital comparison service, delivering value and simplicity to millions.
We drive growth through data-driven affiliate marketing built for performance from day one. Every campaign is measurable, optimised in real time, and designed to scale.
With in-house tech, full-stack analytics, and a compliance-first mindset, we give our partners an edge. We drive confident decisions and growth in regulated and high-growth sectors. We&rsquo;ve helped ambitious brands grow faster, smarter, and globally.
The Role 
We're looking for an experienced Senior AI Engineer to join our team. 
You'll be at the forefront of designing, developing, and deploying AI systems that power personalised advertising, customer journey analytics, audience segmentation, and real-time bidding strategies.
Working closely with BI, data engineers, and product teams, you'll help build scalable AI solutions that deliver measurable business outcomes for some of the world's most recognised brands. Our infrastructure is powered by Google Cloud Platform (GCP), and we take pride in applying cutting-edge AI techniques to real-world marketing and advertising challenges. 
Key Responsibilities<ul><li>
Architecture &amp; Multi-Agent Design: Design, build, and deploy scalable multi-agent systems and generative AI features for Mar Tech challenges including ad targeting, user segmentation, and content personalisation.</li><li>
Advanced Agentic Workflows: Research and implement agentic design patterns such as planning, reflection, and tool usage using orchestration frameworks like LangGraph, AutoGen, or CrewAI.</li><li>
Cross-Functional Collaboration: Work closely across the organisation to translate ambiguous business objectives into discrete agent personas, tool definitions, and behavioural boundaries.</li><li>
Performance &amp; Guardrails: Monitor and optimise multi-agent systems in production, tracking agent-specific metrics including token efficiency, execution loops, and tool-calling accuracy to ensure system reliability.</li><li>
Security &amp; Compliance: Maintain high standards for data security, model explainability, and mitigation of agent-specific risks such as prompt injection and unintended tool execution in compliance with GDPR and CCPA.</li><li>
Mentorship &amp; Best Practices: Support and develop junior engineers and help champion best practices in agent-oriented programming, prompt engineering, model evaluation, and scalable cloud infrastructure.</li></ul>
About You<ul><li>
Experienced in software engineering, ideally in Ad Tech, Mar Tech, or similarly complex and high-scale environments</li><li>
Experience building multi-agent or single-agent architecture with integrations to APIs and/or MCPs</li><li>
A good understanding of supervised, unsupervised, and reinforcement learning methods alongside experience working with foundation models and prompt engineering</li><li>
Practical experience with GCP services or AWS equivalent such as Vertex AI, BigQuery ML, Dataflow, AI Platform Pipelines, and Dataproc</li><li>
Practical experience with CI/CD for AI/ML, model versioning, monitoring, and AI Ops practices</li><li>
An understanding of marketing and advertising concepts such as customer lifetime value, attribution modelling, real-time bidding, and audience targeting is a plus</li><li>
Familiarity with data pipeline orchestration tools such as Apache Airflow and Kubernetes is a plus</li><li>
You do your best work as part of a team and enjoy sharing knowledge just as much as gaining it</li><li>
Confident navigating ambiguity and a fast moving environment</li><li>
Excellent written and verbal communication skills</li><li>
Collaborative and grounded, you value the perspectives of others and create space for everyone to contribute</li></ul>
What You&rsquo;ll Get<ul><li>
Private Health Care (Bupa)</li><li>
Hybrid Working (3 days in office)</li><li>
Travel Insurance</li><li>
Competitive Base Salary</li><li>
Company Bonus Scheme</li><li>
Paid for AI Subscription (Claude / ChatGPT / Gemini)</li><li>
Market-Leading Training Programme</li><li>
Recognition &amp; Reward Scheme</li><li>
Annual Company Conference
</li><li>Regular Happy Hours &amp; Team Lunches</li><li>
Free Coffee, Drinks &amp; Snacks</li></ul>
What&rsquo;s the next step? 
 
Our hiring process ensures we're recruiting the right people for the role. We ensure that people are as suitable for us as we are for them. 
 
If you like the sound of what we're all about at Quantum and want to join a team where you can make an impact, please apply or contact us at careers@quantum.media.</div>

Senior AI Engineer

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience. 
</li>
<li>2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 
</li>
<li>1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li>
<li>Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).</li>
<li>Ability to communicate in French and German fluently to support client relationship management in this region.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master&rsquo;s or PhD in AI, Computer Science, or a related technical field.</li>
<li>Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google&rsquo;s ADK) and complex patterns like ReAct, self-reflection, and hierarchical delegation.</li>
<li>Knowledge of &quot;LLM-native&quot; metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.</li>
<li>Ability to implement secure agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google Cloud&rsquo;s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren&rsquo;t just building technology; you&rsquo;re shaping the frontier of enterprise and driving the evolution of advanced models.
Leading with the future, the AI go-to-market (GTM) team are trusted AI advisors, scaling across Google to deliver transformative customer experiences that shape the next generation of their business. Partnering to provide deep AI expertise, thought leadership, and industry best practices, we revolutionize customer outcomes.<div></div>
It's an exciting time to join Google Cloud&rsquo;s Go-To-Market team, leading the AI revolution for businesses worldwide. You&rsquo;ll excel by leveraging Google's brand credibility&mdash;a legacy built on inventing foundational technologies and proven at scale. We&rsquo;ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We&rsquo;re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era&mdash;the market is yours.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Serve as the lead developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.</li>
<li>Architect and code the &quot;connective tissue&quot; between Google&rsquo;s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.</li>
<li>Build high-performance evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency. 
</li>
<li>Identify repeatable field patterns and technical &quot;friction points&quot; in Google&rsquo;s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.</li>
<li>Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Forward Deployed Engineer III, Generative AI (French, German)

plain

<div><h2 class="jobSectionHeader">Who are Plain?</h2>
Plain is redefining customer support for the next generation of B2B companies. We&rsquo;re building the fastest, most powerful platform to help companies move beyond reactive support and build true customer relationships.
Some of the world&rsquo;s most forward-thinking companies - like Cursor, Vercel, and Granola - trust Plain to unify all customer interactions, enable faster team collaboration, and supercharge their workflows with AI.
B2B customer support is undergoing a seismic shift. AI is transforming the way companies engage with customers, shifting support from a siloed function to a company-wide effort across Slack, Discord, and any other channel you talk to customers in. The old way - slow, manual, and disconnected - no longer works.
We&rsquo;re looking for a Talent Lead to build the teams that define this next phase of support tooling.
This role is hybrid with 3 days a week in our London office.<h2 class="jobSectionHeader">
What you&rsquo;ll do</h2>
This is a builder role in talent. You're not inheriting a mature function - you're shaping one.
You'll own engineering hiring end to end - pipeline, process, candidate experience, and close. You'll build the systems and tooling that make hiring scalable. And you'll work with engineering leaders to keep the bar high as we grow.
We talk a lot internally about Plain being a place people graduate from. Future founders meeting their co-founders here. Leavers trying to pull their ex Plain teammates to their next company. Genuine friendships built across the team. A team so good, that every tech recruiter has Plain high on their sourcing list.
That's what we're building. This role is how.<h2 class="jobSectionHeader">
This is a great fit if you&hellip;</h2><ul><li>
Have strong opinions about what great hiring looks like and the conviction to push for it.</li><li>
Have owned full-cycle recruiting across product engineering, ML/AI, infrastructure, and beyond - to an exceptional bar.</li><li>
Can identify engineers who move fast with AI and still think clearly without it.</li><li>
Know how to build pipeline - whether that's a referral flywheel, a strong employer brand, a well-run outbound motion, or a mix of the three</li><li>
Get excited about process and tooling, not just people - you build systems that make hiring scalable.</li><li>
Can run multiple searches at pace without the bar or experience slipping.</li><li>
Partner closely with engineering leadership - you're an extension of the team, not a service function.</li><li>
Are comfortable rolling up your sleeves beyond tech hiring - Talent Ops, People Ops, GTM hiring - whatever the company needs.</li></ul><h2 class="jobSectionHeader">
This won&rsquo;t be the right role if you&hellip;</h2><ul><li>
Treat hiring as a numbers game - we'd rather wait for the right person than move fast for the wrong one</li><li>
Are looking for a well-defined, mature talent function to step into - there's real infrastructure to build here and you should be excited by that</li><li>
Are uncomfortable working closely with engineering - this role requires genuine partnership with technical leaders, not just coordination</li><li>
Want to hand off sourcing and pipeline work to someone else - this is a hands-on role and that won't change for a while</li></ul>
Compensation Range: &pound;90K - &pound;115K</div>

Talent Acquisition Lead

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