Head of Agentic AI Job at Vodafone (Milano)

Head of AI/Data Consulting

This role plays a pivotal part in shaping and scaling our AI and Data consulting...

Location

United States , Raleigh

Salary:

Not provided

Carimus

Expiration Date

Until further notice

Requirements

Deep expertise in AI and Data Science, with an up-to-date understanding of modern AI (LLMs, agents, MLOps, data architectures, etc.)
Several years of experience in AI/Data consulting or in a software company offering AI/Data advisory services
Demonstrated success in strategic advisory work with enterprise clients
Proven ability to connect technical solutions to business value and ROI
Prior P&L ownership or substantial commercial responsibility
Exceptional interpersonal, communication, and client-facing skills
Experience hiring, developing, and leading technical consulting teams
Ability to travel to customer locations as needed

Job Responsibility

Build and lead a team of AI/Data Consultants who can advise clients on AI and data strategies, tools, architectures, and implementation approaches
Partner with marketing and commercial teams to shape marketing and go-to-market strategies aimed at winning new clients in the US and Europe
Own the P&L for the AI/Data Consulting unit, ensuring financial performance, scalability, and profitability
Conduct workshops, strategic assessments, and executive-level discussions with key customers
Represent Carimus and Spyrosoft externally as a credible AI voice, supporting business development, shaping proposals, and closing strategic deals
Define a clear vision for how AI can drive tangible business outcomes and bring that vision to clients and internal teams
Foster a culture of excellence, curiosity, accountability, and collaboration within the team

Fulltime

Head of US Sales Engineering

Head of US Sales Engineering role at eGain, the global leader in AI-powered know...

Location

United States , Sunnyvale

Salary:

200000.00 USD / Year

eGain

Expiration Date

Until further notice

Requirements

Sales engineering leadership experience in enterprise software
Fluency in AI concepts (LLMs, RAG, agents, knowledge architecture)
Proven ability to hire and scale technical teams
Partnership skills to co-sell with account executives and customer success
Executive presence
10 years of B2B Enterprise SaaS experience

Job Responsibility

Build and lead a team of AI-savvy technical sellers
Land new logos and expand enterprise accounts
Showcase AI Knowledge Method, AI Knowledge Hub, AI Agent, Composer
Translate market inflection point into revenue momentum

What we offer

Commission of up to $75,000
Stock options

Fulltime

Senior AI Security Engineer

The Senior AI Security Engineer is a technical leader and engineering manager wi...

Location

Hungary , Budapest

Salary:

22713830.00 - 38083370.00 HUF / Month

Citi

Expiration Date

Until further notice

Requirements

8-10+ years of experience in software engineering, with demonstrable experience as a technical lead or engineering manager
Python mastery: Deep, hands-on experience building and maintaining production-grade Python applications and services
LLM engineering: Practical experience with LLM APIs (OpenAI, Anthropic, Google), prompt engineering, model evaluation, and input/output guardrails
Production systems: Track record of deploying and operating AI/ML systems in production at enterprise scale
Software engineering fundamentals: Clean code, design patterns, testable architecture, CI/CD, infrastructure-as-code
3+ years leading or managing engineering teams, including performance management, hiring, and career development
Track record of delivering complex software products in environments where priorities shift rapidly
Experience setting engineering standards and driving quality across a team's output
Demonstrated ability to mentor and develop engineers through code review, architectural guidance, and knowledge sharing
Proven capability to attract, develop, and retain engineering talent

Job Responsibility

Agentic AI Engineering & Use Case Incubation (40%): Own and evolve the Incubator Environment — the platform and tooling that enables CISO teams to move from idea to working PoC to validated use case
Partner with cybersecurity domain teams to understand their challenges, identify high-value AI use cases, and rapidly prototype agentic solutions
Design, build, and deploy agentic AI systems that autonomously perform cybersecurity tasks — including threat analysis, security control validation, intelligent triage, and response orchestration
Architect multi-agent orchestration systems, defining how AI agents collaborate, delegate, and escalate across security workflows
Implement robust agent infrastructure: tool use frameworks, memory and context management, planning/execution loops, guardrails, and human-in-the-loop controls
Build and maintain RAG pipelines, knowledge retrieval systems, and dynamic context assembly that underpin agent decision-making
Shepherd validated use cases through to production readiness and handoff to the dedicated product support team
Drive adoption and effective use of AI development tooling (Devin, GitHub Copilot, Claude Code) to maximize team velocity
Make key technical decisions on architecture, technology selection, and build-vs-integrate trade-offs
Incubator Platform & Technical Architecture (25%): Design and maintain the Incubator Environment architecture — a scalable, secure platform that enables rapid prototyping and validation of agentic AI use cases

What we offer

Cafeteria Program
Home Office Allowance (for colleagues working in hybrid work models)
Paid Parental Leave Program (maternity and paternity leave)
Private Medical Care Program and onsite medical rooms at our offices
Pension Plan Contribution to voluntary pension fund
Group Life Insurance
Employee Assistance Program
Access to a wide variety of learning and development programs, online course libraries and upskilling platforms, such as Udemy and Degreed
Flexible work arrangements to support you in managing work - life balance
Career progression opportunities across geographies and business lines

Fulltime

Principal AI Engineer

We’re partnered with a global leader in loyalty and customer engagement, looking...

Location

United Kingdom , London

Salary:

110000.00 GBP / Year

Formula Recruitment

Expiration Date

Until further notice

Requirements

Proven experience designing and productionising RAG pipelines and agentic AI architectures
Hands‑on delivery of agent‑based AI systems with orchestration tools (e.g., LangChain, CrewAI) in production
Strong Python engineering skills with solid testing, optimisation, CI/CD, and code quality
Experience implementing and scaling vector databases (Pinecone, Weaviate, Milvus) for retrieval and reasoning workloads
Deep expertise in cloud‑native AI engineering on AWS, with Azure knowledge and ability to design distributed, fault‑tolerant systems

Job Responsibility

Lead end‑to‑end delivery of scalable, resilient AI/ML pipelines aligned to business goals
Build and deploy advanced ML, DL, and LLM solutions, including RAG, agentic architectures, and evaluation frameworks
Mentor engineers in ML engineering, orchestration, and modern AI best practices
Communicate system behaviours, risks, and outcomes to both technical and non‑technical audiences
Partner with the Head of AI Labs to turn AI research and strategy into production‑ready solutions

What we offer

Bonus
Flexible working options at a Central London office
Private Health
Great pension
Work from anywhere for 2 months of the year

Fulltime

AI Solutions Lead

We are looking for a strategic technical leader to architect our next generation...

Location

Croatia , Zagreb

Salary:

Not provided

Datatonic

Expiration Date

Until further notice

Requirements

Professional experience in machine learning and software engineering
At least 2 years in a formal or informal leadership capacity (e.g., tech lead, project lead, or senior mentor)
Proven ability to architect and deploy scalable, production-grade ML and/or GenAI solutions on a major cloud platform (GCP is a significant asset)
Hands-on experience with Infrastructure-as-Code tools (e.g. Terraform)
Deep expertise in AI/ML technologies, including both traditional Machine Learning and GenAI
Strategic thinker who can translate AI capabilities into business value and competitive advantage
Great communication skills with the ability to educate and influence at all organizational levels
Demonstrated ability to lead, inspire, and mentor engineering teams, fostering a culture of innovation, collaboration, and continuous improvement

Job Responsibility

Develop and own the growing roadmap of internal and externally facing AI solutions, agents, IP, and products
Work with the Head of AI and OCTO leadership to define the long term AI strategy of the whole business, and align AI technical capabilities and service offerings to company strategic goals
Drive the execution of the strategy by writing technical standards, creating customer offerings and selling the vision to the internal team
Define and develop internal/ external accelerators and reusable frameworks that enhance our delivery capabilities and solidify our position as industry leaders
Work with the Head of AI to create service offerings and associated technical architectures
Coach the wider engineering and sales team on how to pitch and implement these offerings
Act as the lead technical authority in the region, partnering with the sales team to lead or support other teams in presales engagements, and with the engineering team to guide or lead technical delivery
Establish an engineering culture of excellence, curiosity and rapid learning
Help mentor and coach the Machine Learning Engineering team in the region
Collaborate with the Talent team to support the growth of the Machine Learning Engineering team in the region

Fulltime

Senior Software Engineer

EvolutionIQ’s mission is to improve the lives of injured and disabled workers an...

Location

United States , New York

Salary:

180000.00 - 225000.00 USD / Year

EvolutionIQ

Expiration Date

Until further notice

Requirements

Extensive experience going through the full feature development life cycle: Working with product managers, deciding scope, designing a database schema for representing the data, considering the serving needs, working with designers to figure out UX, implementing the interface, and finally maintaining the feature/system
Around 5+ years of engineering experience, and a strong Python development background
Proven success in using agentic coding tools like Cursor AI
Experience designing, building and launching backend architectures that support multi-tenant, multi-user scenarios
Ability to remain agile and move between rapid prototyping and stable production development
Ability to write technical design documents, perform code reviews, and maintain state of the art engineering practices
You know the critical questions to ask in order to understand a client’s business problem and can show the business impact of your technical solutions
Team player who is solutions-oriented and exudes our ambitious, collaborative, and empathetic values
You have crisp written and verbal communication skills and the ability to effectively correspond between technical and non-technical audiences
A self-starter mindset with an eagerness to solve previously unsolved problems

Job Responsibility

Agentic: Build using a spec-first, multi-agent workflow in Cursor where AI agents handle planning, code generation, testing, and review. Each agent works with full repo context and clear guardrails. Use automated refactors, policy checks, and risk scoring to keep quality high
Be a key contributor to EvolutionIQ’s unified claims platform working closely with data science and data engineering teams to build a robust, scalable and intuitive web application
Build and maintain the backend REST server that feeds machine learning data and BI (Business Intelligence) data to our intuitive React frontend
Own the entire lifecycle of designing, building and launching enterprise applications
Work in greenfield projects where you have high levels of ownership
Work directly with the head of product, the data science team, UX designers, and end users
Have a key role and ownership in shaping the future of Evolution IQ’s products – from technology choices to building the roadmap
Provide crucial technical expertise, introduce new best practices to the team, drive consistency across all teams, and help prioritize features to increase our client impact
Continue to grow and learn in the engineering space with a focus on business problems that use large-scale structured and unstructured datasets

What we offer

Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching
Additional family, wellness, and pet benefits
Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers)
We offer a flexible schedule for new parents returning to work
Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend
$1,000/year for each employee for professional development, as well opportunities for tuition reimbursement
An annual bonus plan and company equity plan (RSUs) are also included in our compensation package

Fulltime

Staff / Senior AI Product Engineer

The way software is built is changing, and fast! Engineers who embrace AI-nativ...

Location

Czechia , Prague

Salary:

Not provided

ProductBoard

Expiration Date

Until further notice

Requirements

7+ years of professional software engineering experience, with a proven track record of shipping scalable production systems
Deep hands-on experience with LLMs in real products — including prompt design, context management, evaluation, and understanding real-world limitations (hallucinations, latency, cost, reliability)
Experience building agentic systems is highly valued. Alternatively, deep hands-on work with advanced LLM workflows (tool use, multi-step reasoning, memory, orchestration) and a clear understanding of their trade-offs — along with the drive and technical maturity to quickly evolve toward agentic architectures
You think like a builder — ideally a former founding engineer or founder — with a strong instinct for shipping what truly moves the product and the company forward
You’re drawn to agent-native architecture and believe this is where software is heading. You’re excited to rethink codebases, APIs, and documentation so AI agents can reliably operate and scale
You rely on AI tools daily (e.g., Cursor, Claude Code) and treat them as a core part of your engineering workflow — constantly experimenting, refining prompts, and pushing them to meaningfully increase your speed and output
Comfortable working in distributed systems and event-driven architectures (e.g., queues, async processing, service-to-service communication)
Able to lead complex technical initiatives end-to-end, raising the bar for architecture, quality, and engineering culture
Candidates must have the legal right to work in the EU

Job Responsibility

Building AI-powered product features
Enhancing and sustaining our internal tech stack, while identifying and incorporating new state-of-the-art technologies
Discovering and experimenting across different domains, creating MVPs and POCs, engaging in discussions about findings with fellow engineers and the product team, and planning the execution
Make our codebase AI-ready: define clear module boundaries, improve API contracts, add semantic context, and build the structured documentation that makes AI agents more effective across every repo
Design and implement agent workflows that go beyond chat: multi-step reasoning, tool use, autonomous task execution, and human-gated checkpoints
Run experiments, validate with real users, and iterate based on evidence. We measure learning velocity, not just output
Collaborate closely with product managers and designers to shape what we build, not just how we build it. We expect a product mindset, not just technical execution
Act as a knowledge multiplier, sharing what you learn across and beyond your team to raise the bar for everyone

What we offer

Stock options
MacBook + 34″ monitor
Budget for online courses, books, and conferences
5 weeks of vacation + 9 sick days
Volunteer Days for you to help causes close to your heart
Carrot Fertility Benefits
Free snacks, drinks, and yummy catered lunches
MultiSport card to access sports facilities
Flexible working hours and home office
Parental benefits

Fulltime

Head of AI Risk Approvals and Portfolio Oversight

This is a critical senior leadership role at the forefront of Citi’s strategic e...

Location

Canada , Mississauga

Salary:

350000.00 - 625000.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

15+ years of experience in a large, complex financial institution, regulatory body, or related field
A minimum of 10 years in a senior leadership role within risk management, audit, model governance, or technology risk, with direct experience in AI deployment and oversight
Demonstrated deep subject matter expertise in Artificial Intelligence, including current and emerging technologies and their specific risk implications within a financial services context
Proven track record of scaling large, complex AI or technology initiatives from concept through to production and continuous improvement
Proven ability to provide decisive, independent challenge to senior leadership and influence strategic outcomes in a principles-based manner
Demonstrated success leading high-performing, multi-disciplinary teams and driving change in a complex, global organization
A track record of operating effectively in high-pressure, fast-paced environments, demonstrating resilience and sound judgment under ambiguity
Bachelor’s degree required
Master’s degree preferred

Job Responsibility

Act as the primary 2LOD approval authority for all AI use cases firm-wide, owning the aggregate risk posture of the AI portfolio
Set the strategic vision for AI risk management within the portfolio, ensuring frameworks are effectively implemented and aligned with Citi’s risk appetite
Champion an AI-first mindset by challenging existing processes and driving the re-engineering of workflows to unlock efficiency and simplicity
Provide decisive, independent challenge on all AI initiatives, from strategy and design through execution and post-production monitoring, grounded in deep technical expertise
Leverage deep subject matter expertise in critical AI risk areas, including model fairness and bias, explainability, data privacy, AI security, LLMs, and Agentic AI, to assess and mitigate novel risks, ensuring all use cases are robust and compliant
Conduct thematic reviews to identify emerging risk trends and ensure the control environment remains effective as AI technology evolves
Drive the execution and continuous refinement of the AI Risk Management Framework, adapting processes to meet evolving technological and regulatory demands
Define, monitor, and report on Key Performance and Risk Indicators (KPIs/KRIs) to govern progress and ensure the realization of committed business value
Ensure governance frameworks are applied consistently across all teams and that changes to AI use cases are rigorously reviewed and approved throughout their lifecycle
Serve as the primary AI risk advisor to senior leaders and business/function heads, articulating complex risk exposures to influence strategic decisions

Fulltime

Head of Agentic AI

Vodafone

Location:
Italy , Milano

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 11, 2026

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Location:Italy , Milano

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Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:April 11, 2026

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