MILAN - Agent / Car Cleaner 2026

Senior Agent Architect (Italy)

Parloa

ABOUT PARLOA Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience - one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale. ABOUT THE ROLE: As a Senior Agent Architect at Parloa, you will play a key role in transforming customer service with AI Agents. In this customer-facing role, you will support the implementation of Parloa's solutions, enhancing customer experiences for clients and partners. Using your expertise in Large Language Models (LLMs), Prompt Engineering, NLP & NLU conversational design, and integration platforms, you will craft effective AI workflows and build connections to enterprise systems and ensure quality, performance, and end-to-end operational readiness. You will design, prototype, and validate conversational solutions for AI agent deployments, including the integration layer that connects Parloa's platform to customers' existing technology stacks, and guide customers and partners in maximising the value of Parloa's AI solutions. AREAS OF OWNERSHIP: * Scope and implement AI Agent deployments, providing strategic advice and execution support to customers and partners.  * Leverage your knowledge of LLM internals (e.g., embeddings) to analyze customer requirements and design precise prompts for reliable, user-aligned behavior.  * Simplify complex workflows and processes into digestible conversational components, enabling LLMs to handle challenging tasks effectively.  * Fine-tune conversational flows and voice output (e.g., SSML, Lexicons, Regex) to align with customer brand standards.  * Build and configure integrations between customers' systems and Parloa's Platform, connecting external tools (e.g., CRMs, ERPs, ticketing systems, contact center platforms) via integration platforms and APIs to deliver end-to-end enterprise solutions. * Collaborate with Forward Deployed Engineers on complex or custom integration scenarios that go beyond standard integration capabilities.  * Identify and solve blockers together with other departments at Parloa (e.g. Product, Agent Integration Engineering, or Sales) and the customer.  * Apply structured testing approaches to validate AI agent behaviour, quality, and performance under real-world conditions.  * Document best practices, how-to guides, and product capabilities for internal and external audiences, representing the expertise of the Agent Architect team. WHO YOU ARE: * 3+ years of experience in enterprise customer-facing roles, with proven expertise in conversation design and AI agent development to create engaging and intuitive conversational experiences * Ability to analyze customer requirements and craft LLM prompts that align with desired outcomes * Entrepreneurial mindset with initiative, results orientation, and ability to identify opportunities for impact * Proficiency with advanced prompting strategies such as chain-of-thought prompting, few-shot learning * Strong project and stakeholder management skills, with passion for meeting milestones and effective communication * Analytical and critical thinker with expertise in risk assessment, problem-solving, and strategy, plus solid knowledge of data structures, system integrations, and enterprise APIs * Familiarity with API authentication patterns (OAuth, API keys, JWT), data transformation and field mapping logic * Proficiency in REST API design, JSON/XML data structures, and API testing tools (Postman, etc.) * Experience reading and consuming API documentation across enterprise SaaS platforms (CRMs, ERPs, contact center platforms) * Exceptional attention to detail and logical thinking, with a proven ability to identify and address subtle nuances in conversational flows, ensuring a seamless and engaging user experience * Familiarity with A/B testing methods to ensure AI agent performance at scale * Excellent written and spoken Italian and English skills are required. OUR RECRUITING PROCESS: Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser   ---------------------------------------------------------------------------------------------------------------------------------- Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. Parloa is an e-verify employer in the USA. Please click here to learn more. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

Technical Program Manager (Italy)

Parloa

ABOUT PARLOA Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale. ABOUT THE ROLE: We are looking for a Technical Program Manager (TPM) to lead high complexity deployments of our Agentic AI / conversational AI platform for enterprise customers. In this role, you’ll own the end-to-end delivery lifecycle from scoping and planning through go-live and hypercare, working in a pod model alongside a Forward Deployed Engineer (FDE) and an Agent Architect (AA). You will be the primary owner of timeline, scope, risk, governance, and stakeholder communication, ensuring that customers successfully transition to an Agentic OS layer for their enterprise communications. AREAS OF OWNERSHIP: Project Ownership & Delivery * Own end-to-end delivery for assigned Agentic AI customer projects (scope, schedule, budget, risk, quality). * Run the pod (TPM + FDE + Agent Architect) as a single accountable delivery unit. * Select and apply appropriate delivery methodology (Waterfall, Agile, or Hybrid) based on customer context and risk profile. * Drive project planning: work breakdown, dependencies, critical path, and resource allocations across internal and partner teams. * Maintain up-to-date project plan, RAID log (Risks, Assumptions, Issues, Dependencies) and change log. Customer & Stakeholder Management * Serve as primary delivery contact for customer project sponsors, IT, and business stakeholders. * Facilitate recurring governance: status calls, steering committees, UAT readouts, and go-live reviews. * Translate technical complexity into clear business impacts for executive stakeholders. * Manage scope and change requests, ensuring commercial and delivery impacts are understood and agreed.  Cross-Functional & Pod Coordination * Coordinate with Forward Deployed Engineers on integration readiness, environment setup, performance, and production stability. * Coordinate with Agent Architects on discovery, agent design, prompt/context strategy, and conversational tuning. * Collaborate with Sales, Solution Engineering, Product, and Support to ensure a seamless customer journey from sales handoff through BAU operations. * Where partners are involved (SI/GSI/BPO), manage co-delivery responsibilities, expectations, and escalation paths. Methodology & Process Discipline * Plan and facilitate sprints, retros, and sprint reviews for Agile/hybrid projects; lead stage-gate reviews for Waterfall projects. * Enforce documentation standards (Charter, Design Docs, Runbooks, Handover Docs). * Ensure risk and compliance requirements (security reviews, data governance, regulatory constraints) are captured and incorporated into the plan. Metrics & Reporting * Define and track deployment KPIs, such as: * Time to Blueprint, Time to First Agent in UAT, Time to Go-Live * Milestone On-Time Rate * Defect and incident trends during QA/UAT and Hypercare * Report delivery status, risk posture, and mitigation plans to internal and external stakeholders. * Contribute data to capacity and utilization models to inform planning and staffing. WHO YOU ARE: * +2 years of experience in technical project management, program management, or delivery management for SaaS or enterprise software. * Hands-on experience delivering solutions involving at least one of: * Contact Center / CCaaS, UCaaS, conversational AI, IVA/IVR, or related CX platforms. * Demonstrated ability to work across technical and business stakeholders (IT, Security, Operations, Business Owners). * Solid understanding of software delivery methodologies (Agile/Scrum, Hybrid, and Waterfall) and when to apply each. * Strong skills in project planning tools (e.g., Jira, Asana, Monday, MS Project, Smartsheet) and collaboration tools (e.g., Confluence, Notion, Miro). * Excellent communication, facilitation, and conflict resolution skills. * Proven track record managing multiple concurrent projects with global, distributed teams. * Fluency in English & Italian is required NICE TO HAVE: * Experience delivering AI/ML, NLP, LLM-based, or Agentic AI solutions. * Background in professional services or consulting working with enterprise clients. * Familiarity with APIs, webhooks, event-driven architectures, cloud infra (AWS/Azure/GCP). * Certifications: PMP, PRINCE2, CSM/CSPO, SAFe, or equivalent. * Experience with partner co-delivery (SI, GSI, BPO, or ISV ecosystems). OUR RECRUITING PROCESS: Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser   ---------------------------------------------------------------------------------------------------------------------------------- Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. Parloa is an e-verify employer in the USA. Please click here to learn more. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

Agentic Enablement Engineer

TrueLayer

WHO WE ARE: TrueLayer is Europe’s fastest-growing Pay by Bank network. We power smarter, safer and faster payments by combining real-time bank payments with financial and identity data. E-commerce, iGaming and Financial Services businesses use our products to onboard new users, accept money and make payouts in seconds, and at scale. Live across 22 countries and with 1 new user joining TrueLayer’s Pay by Bank network every 3 seconds, we’re in a very exciting growth stage. This is why we’re expanding the team across our offices in London, Milan, and Dublin. Listed in Sifted as one of the 100 fastest growing start-ups in UK & Ireland, and CNBC’s World Top Fintech Companies, we’re trusted by industry leaders like RyanAir and Just Eat Takeaway for continued innovation within our payment products. To date, we’ve raised over $300 million from world-renowned investors including Stripe, Tiger Global, Northzone, and Tencent. But this is just the beginning. We’re looking for people who are excited about joining the Pay by Bank revolution and helping us change the way the world pays. Could this be you?  DESCRIPTION TrueLayer is making a deliberate, CTO-led investment in agentic engineering. We are building a new team — Agentic Engineering Enablement — with a focused mission: pave the way for AI agents to succeed across TrueLayer's engineering organisation. Every bottleneck that slows an agent down is a problem to solve. Every piece of tribal knowledge locked in a Slack thread or an engineer's head is an opportunity to unlock. As an Agentic Enablement Engineer, you will be an integral part of this new team. You will work hands-on to build and maintain the context, tooling, and infrastructure that make AI agents effective at TrueLayer, contributing meaningfully to a greenfield platform with real engineering impact from day one. What does good look like in Year One? Agents routinely land coordinated changes across multiple repos and services, run e2e tests, and deploy behind guardrails without a human in the loop.   WHAT WE EXPECT FROM YOU AS AN AGENTIC ENABLEMENT ENGINEER: Build and maintain agent context and tooling * Write, maintain, and version AGENTS.md files, system prompt libraries, and skill definitions for the codebases and workflows you own. Treat this as infrastructure, not documentation. * Work with engineers across teams to surface and convert tribal knowledge into structured, agent-consumable artefacts: runbooks, coding conventions, decision trees, and system maps. * Build and contribute to TrueLayer's internal tool library: structured, versioned, testable agent capabilities that encode how we build, test, and operate software. Contribute to golden paths * Build and maintain reusable templates and orchestration patterns that give agent capabilities a reliable, consistent starting point. * Identify where existing patterns are fragile or unclear and propose concrete improvements. * Contribute to adoption tracking and feedback loops that help golden paths improve over time. Improve CI/CD for agent workloads * Contribute to CI/CD pipelines (GitHub Actions, Kubernetes, cloud runners) to reliably handle multi-agent workflows. * Identify and address CI latency through caching, parallelisation, and test impact analysis. * Build and maintain ephemeral, sandboxed development environments for agent use. * Automate recurring manual tasks: flaky test quarantine, dependency updates, and PR triage. Support the eval and observability layer * Build and maintain evaluation suites for agent capabilities shipped internally. * Instrument agent health metrics and surface meaningful signals to the team. * Contribute to guardrail and oversight implementations, with support from more senior team members. Share and grow * Share work, learnings, and setbacks openly. Document your work thoroughly so others can build on it. * Participate in team workshops and knowledge-sharing initiatives, contributing to a culture where every engineer can engage confidently with agentic tools.   ABOUT YOU: * You are actively using and building with AI agents — you have moved beyond occasional AI-assisted tools and are designing workflows where agents do real, autonomous work. * 4+ years of software engineering with exposure to platform engineering, infrastructure, or developer experience. * Hands-on experience with CI/CD pipelines and a practical understanding of how to improve their performance and reliability. * Familiarity with building agent systems: prompt engineering, tool-use schemas, or evaluation approaches. * Working knowledge of cloud infrastructure fundamentals: AWS or equivalent, Docker, and containerisation. * Good written communication skills, with the ability to document complex systems clearly for a technical audience. We would be particularly excited if you have: * Hands-on experience with MCP servers or agent orchestration frameworks such as LangGraph, CrewAI, or AutoGen. * Familiarity with eval or observability frameworks such as Braintrust or LangSmith. * A background in developer experience (DevEx) and an interest in measuring engineering velocity. * Understanding of LLM cost modelling: model selection, caching strategies, and token budget design. * Security or compliance experience in a regulated environment. * Open-source contributions, technical writing, or community involvement in the agentic or DevEx space.   Don't meet all the requirements? Multiple studies have shown that women and people of underrepresented groups are sometimes less likely to apply to jobs unless they meet every single requirement. At TrueLayer, we are committed to building a diverse workforce, so if you are excited about this role and have the essential skills, but not the entire checklist - we'd still love to hear from you!   BENEFITS AND COMPENSATION €60,000 - €88,000 + equity WHAT YOU CAN EXPECT FROM US * Competitive salary and meaningful equity in the company 💰 * Flexible hours and hybrid working - we offer a hybrid approach to work of 3 days per week remote working 🏡 and 2 days per week in our new offices in London 🇬🇧 Milan 🇮🇹  and Dublin 🇮🇪 * Need to collect the kids from childcare? Love a workout in the gym first thing?  No worries, we trust you to do your best work within our hybrid framework 🧘 * A one-off contribution of €200 to help you set up your home office 💺 * Flexible holiday policy, with 24 days as standard ✈️ * 2 volunteering days to support causes important to you 🌳 * Generous parental leave, above and beyond statutory requirements and with no minimum tenure 👨‍👩‍👧 * Meal vouchers for every day you’re working, including while remote * Budget to spend on learning & development each year 📚 * 12 fully-paid wellbeing days a year and your birthday off (on top of the holiday allowance) 🕊 * Membership of mental wellbeing platform Spill  🧘🏻‍♀️   ABOUT OUR HIRING PROCESS Our hiring process typically consists of four stages: 1. A call with one of our Talent Acquisition Partners. 2. A take-home exercise  3. 2-hour video interview with two TrueLayer engineers. 4. 1.5-hour total final round video interviews.   Full details on the interview process, including preparation tips and the qualities we look for in future TrueLayeristas, can be found on our blog. At TrueLayer, we don’t just do inclusion and diversity. We embrace people that have different opinions, perspectives and personalities. Because we believe that by seeing the world from all sorts of angles, we can make life better for all the people who live in it. We strongly encourage applications from underrepresented groups (e.g. people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from all socio-economic backgrounds). If you’d like to discuss alternative working patterns, please let us know. We will always aim to make appropriate adjustments to ensure we are fully inclusive to people with different needs during our interview process. So if you need us to make any adjustments to suit your individual needs please let us know - we’ll be happy to support you.