Head of Agentic AI Job at Vodafone (Milano)

Head of AI Center of Excellence

NTT DATA is building a focused AI Center of Excellence to accelerate the practic...

Location

Romania

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience
At least 7 to 10 years of hands‑on experience in full-stack, backend, platform, integration, or automation engineering background, TypeScript, JavaScript, Python, or similar modern programming languages
Strong understanding of applied AI, generative AI, agentic AI, and automation
Experience building or leading teams that deliver working software or AI solutions
Ability to architect AI systems and challenge technical decisions
Understanding of enterprise IT, application management, or managed services
Strong appreciation of SAP environments and the operational realities of SAP services
Ability to work with ticketing, service management, and operational data
Experience moving ideas from discovery to MVP to production handover
Strong stakeholder management across business, delivery, architecture, and operations

Job Responsibility

Hiring, developing, and leading a team of technical AI builders
The priority of the CoE AI is to improve internal managed services performance
Creating a high-performance culture focused on shipping working solutions
Ensuring the team works directly with business and technical stakeholders
Prioritizing use cases based on value, feasibility, scalability, and strategic relevance
Establishing clear entry and exit criteria for CoE involvement
Identify the business problem
Validate whether AI is the right mechanism
Define the target outcome and KPIs
Build or orchestrate a working MVP

What we offer

New beginnings can be a challenge. We promise a smooth integration and a supportive mentor
Pick your working style: choose from Remote, Hybrid or Office work opportunities
Early bird or night owl? Our projects have different working hours to suit your needs
Nobody is born an expert. Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platforms
We want you to stay healthy! Enjoy our Private Health Insurance ⁠– it’s custom-made for you
A clear mind is a healthy mind. Attend individual coaching sessions or go one step further by joining our accredited Coaching School
Make the most of our epic parties or themed events – they’re lovingly designed for our people and their families

Head of AI-First Development (Firmwide AI) - Managing Director

Citi is establishing a new, unified firmwide AI organization under a newly creat...

Location

United States , New York

Salary:

250000.00 - 500000.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

15+ years of progressive engineering leadership experience, including senior roles owning developer experience, developer platforms, or engineering productivity at scale
Seasoned DevEx / developer-platform leader - has personally built and run a developer platform serving thousands (ideally tens of thousands) of engineers, with demonstrable productivity outcomes
Deep, current expertise in agentic coding tools and the AI-first SDLC
Influential change agent - proven ability to win over skeptical users and engineers
Strong product instinct - runs the platform as a true product, with clear users, telemetry, prioritization, and outcome accountability
Strong appreciation of Cyber security and Architectural standardization concerns
Cross-functional influencer - proven ability to operate in a matrixed environment across platform, controls, HR, and the broader Tech organization without direct authority over all of them
Risk & Compliance awareness – understands and fully appreciates risks, controls, and regulatory expectations as they apply to AI-assisted development in global banking
Excellent communication - credible with engineers, engineering leaders, business stakeholders, controls partners, and regulators alike
Financial Services fluency preferred

Job Responsibility

Re-architect Citi's end-to-end Product Development Lifecycle (PDLC) so that AI is the default
Define and own the firm's reference workflows, standards, and patterns for AI-first product development
Continuously evolve the PDLC as the underlying AI tooling, models, and developer practices mature
Own the agentic product development platform including agentic requirements tools, testing tools, coding tools, AI-assisted code review, automated testing, and deployment agents
Define the firm's 'build vs. buy vs. partner' strategy for developer AI tooling
Establish the engineering productivity metrics, telemetry, and feedback loops

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Fulltime

Head of AI

We are looking for an AI Systems Architect/Head of AI to own the design, build a...

Location

United Kingdom , London

Salary:

Not provided

Mint Selection

Expiration Date

Until further notice

Requirements

15 to 20 years of experience building and operating production software systems at scale
Demonstrable experience delivering multiple successful production systems in commercially demanding environments
1 to 3 years of hands-on experience with LLM-based systems, including agentic workflows, RAG architectures, evaluations, integrations and fine-tuning
Strong software engineering capability across the full stack, with deep understanding of production infrastructure and deployment
Experience leading and scaling small technical teams
Commercial fluency and the ability to engage effectively with senior business leadership
Remains highly hands-on technically, capable of coding, debugging, prompting, evaluating and deploying systems directly
Comfortable operating within industrial, asset-intensive or operationally complex businesses

Job Responsibility

Own the architecture and deployment of AI systems across the business, including model selection, tooling, infrastructure and integration with core business systems
Work closely with the CEO and senior leadership team to identify high-impact AI opportunities across operations, trading and commercial functions
Design, build and deploy AI solutions from prototype through to production, including prompt engineering, data pipelines, evaluations, integrations and operational rollout
Provide engineering capability across the algorithmic trading and software development estate, including building, deploying and supporting trading algorithms, internal tooling and development systems
Hire, lead and grow a high-performing technical team
Operate as a peer to the senior leadership team, translating technical capability into commercial outcomes and owning key architectural and implementation trade-offs
Ensure AI systems are robust, scalable, measurable and commercially effective

Fulltime

Head of AI Transformation & Adoption

We are seeking a visionary and execution-focused Head of AI Transformation & Ado...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or related field
18+ years of IT services and software engineering experience
8+ years leading large global delivery organizations
Demonstrated success in enterprise transformation initiatives
Strong experience in application development, maintenance, modernization, and managed services
Hands-on understanding of Generative AI, LLMs, AI agents, Machine Learning, and automation platforms
Experience delivering large-scale client transformation programs

Job Responsibility

Develop and execute a multi-year AI transformation roadmap for the ADM organization
Define AI adoption frameworks, standards, governance models, and operating procedures
Establish AI as a core pillar of software engineering, application support, modernization, testing, and managed services
Identify opportunities to leverage Generative AI, Agentic AI, Predictive AI, Machine Learning, AIOps, and Intelligent Automation across the ADM lifecycle
Build executive alignment and sponsorship for AI-led transformation initiatives
Lead implementation of AI-powered solutions across Application Development, Application Maintenance, Testing & Quality Engineering, DevOps & Platform Engineering, SRE & Operations, Cloud Engineering, Legacy Modernization, Data & Analytics
Drive adoption of AI coding assistants, automated testing platforms, AI-enabled documentation, knowledge management, and operations automation tools
Establish reusable AI assets, accelerators, frameworks, and industry-specific solutions
Partner with account teams to identify AI-led cost reduction and productivity improvement opportunities
Create AI-based transformation offerings that deliver reduced effort, faster delivery cycles, improved quality, lower incident volumes, reduced technical debt, enhanced customer experience

Head of AI Data Science, Intelligence Ventures

The Head of AI Data Science serves as the head of AI research and leader of data...

Location

United States , New York

Salary:

263200.00 - 393800.00 USD / Year

Spectrum

Expiration Date

Until further notice

Requirements

Deep expertise in transformer-based sequence modeling and its application to behavioral or interaction data at consumer scale — including architecture design, training methodology, fine-tuning, and embedding quality evaluation
Proven track record developing and deploying household- or user-level embedding models applied to real-world use cases in media, marketing, commerce, and/or customer intelligence — not just research environments. Demonstrated understanding of the unique characteristics of behavioral sequence data: sparsity, temporal dynamics, multi-entity structure, and the signal differences between behavioral intent and explicit interaction
Strong command of the full data science lifecycle in production settings — from exploratory data analysis and feature engineering through model training, validation, deployment, monitoring, and iteration — at large dataset scale (billions, even trillions of records)
Hands-on proficiency with Python, PyTorch or TensorFlow, and distributed ML training frameworks
experience running ML workloads on cloud platforms (AWS SageMaker, Snowflake Cortex, Databricks, or equivalent)
Experience designing and operationalizing feature stores and predictive modeling pipelines that serve downstream intelligence products, audiences, or decision systems in production environments
Ability to communicate complex AI/ML concepts clearly to non-technical executive audiences, product stakeholders, and external partners
comfort operating as an external-facing technical spokesperson for the platform's modeling capabilities and intelligence differentiation
Track record of leading and growing high-performing data science teams
experience recruiting and developing senior ML talent in competitive markets

Job Responsibility

Direct the research, design, and training of the platform's proprietary transformer-based behavioral embedding model — a multi-entity architecture that encodes household behavior across multiple signal sources into dense, privacy-safe vector representations. Own the full model development lifecycle from architecture decisions and training methodology through validation, deployment, and ongoing iteration as new signal sources and use cases are introduced
Lead the design and build of the platform's Feature Store — translating embedding representations into interpretable, actionable behavioral signals including purchase propensities, category interest intensities, lifestyle affinities, and behavior velocity signals. Oversee the outcome anchoring methodology that trains predictive models against external third-party datasets to produce validated, commercially relevant intelligence outputs across target verticals
Partner with the Head of Technology and external development partners to ensure the AI/ML architecture is production-grade, built for household-scale throughput, and integrated cleanly into the platform's cloud-native infrastructure. Establish model evaluation frameworks, quality benchmarks, and MLOps practices that enforce a strong bias toward production-deployed, commercially validated outputs — not just research-quality results
Serve as the platform's primary AI research voice in external partner conversations — including technical engagements with cloud AI platforms, frontier model teams, and enterprise data partners — articulating the platform's embedding architecture, signal differentiation, and model enrichment value proposition to sophisticated technical counterparts. Contribute to the development of packaged intelligence products such as behavioral demand indices, persona clusters, and predictive propensity scores
Establish the platform's responsible AI framework — including bias testing protocols for behavioral embeddings, model documentation standards, and privacy-preserving ML techniques — ensuring all intelligence products meet ethical and regulatory standards for consumer behavioral data
Build and lead a team of data scientists and ML researchers capable of competing with talent from the world's leading AI research and applied ML organizations. Establish the team's research agenda, hiring priorities, and culture of rigorous experimentation — maintaining a clear bias toward applied, production-oriented work while preserving the intellectual ambition required to stay ahead of a rapidly evolving AI landscape

Fulltime

Head of AI

Data Idols are partnering with a major UK brand undergoing a significant enterpr...

Location

United Kingdom , London

Salary:

140000.00 - 170000.00 GBP / Year

Data Idols

Expiration Date

Until further notice

Requirements

Proven leadership in defining and delivering enterprise AI strategy, including GenAI
Strong understanding of AI platforms, MLOps, and modern AI tooling (without needing to be hands-on)
Experience translating AI opportunities into commercially impactful use cases at scale
Exceptional communication, influence, and stakeholder engagement skills, able to operate confidently at senior levels
Demonstrated ability to build new teams and uplift organisational capability

Job Responsibility

Set the enterprise AI strategy, aligning AI capabilities with long-term business goals
Build, lead, and inspire a new AI organisation, consolidating and uplifting existing teams
Drive adoption of generative, agentic, and advanced operational AI across diverse business areas
Influence senior stakeholders and guide the organisation on where and how AI can create real commercial leverage

What we offer

bonus

Fulltime

Head of Agentic Partnerships

Location

United States , San Francisco

Salary:

262500.00 - 332500.00 USD / Year

Mirakl

Expiration Date

Until further notice

Requirements

10+ years of experience in strategic partnerships, alliances, business development, or ecosystem roles in high-growth technology companies
Proven track record of structuring and scaling complex partnerships with measurable revenue impact (ARR, pipeline acceleration, ecosystem adoption)
Strong experience negotiating strategic agreements including rev-share, licensing, co-selling, and strategic alliances
Deep familiarity with e-commerce, marketplace ecosystems, payments, checkout, or commerce infrastructure
Ability to operate at executive level internally and externally, with strong strategic thinking and analytical capabilities
AI & agentic systems fluency (LLM platforms, RAG, agent frameworks, MCP architectures)
Commerce & fintech business model expertise
Strategic partnership structuring & monetization
Executive communication & negotiation
Cross-functional collaboration (Product, Engineering, Sales, Finance)

Job Responsibility

Build Mirakl's Agentic Commerce ecosystem: Define and execute partnership strategies with leading AI platforms (OpenAI, Microsoft, Google, Perplexity), payment & checkout leaders (Stripe, JPMorgan, PayPal, Apple Pay), and data & AI infrastructure partners (NVIDIA, AWS, Databricks, Snowflake) to establish Mirakl as the leading commerce infrastructure layer for the agentic AI economy
Drive partnership monetization and revenue growth: Own the partnerships business plan, revenue targets, and commercial execution—structuring strategic agreements including rev-share, licensing, co-selling, and joint GTM programs that deliver measurable ARR and pipeline impact
Scale repeatable go-to-market playbooks: Build and deploy partnership strategies across Mirakl's products and customer segments, collaborating with Sales leadership to embed partnerships into enterprise deals and accelerate product adoption
Establish Mirakl as a strategic integration layer: Position Mirakl's MCP servers, commerce APIs, and agentic services for adoption by external ecosystems, driving usage-based revenue and ecosystem growth
Represent Mirakl externally: Maintain executive-level relationships with strategic partners and position Mirakl as a key player shaping the future of agentic commerce, establishing credibility and visibility in AI platform and fintech ecosystems

What we offer

health, dental, 401(k) match plan, commuter, PTO

Fulltime

Head of AI Products

The Head of AI Products is responsible for the setup and lifecycle management of...

Location

Italy , Milano

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Engineering, or Business
Strong understanding of the AI development lifecycle and software productization patterns (ToGaf certification is a plus)
Experience in enterprise-level product strategy and architecture in data and AI in cloud (Cloud architect certification is a plus)
Experience managing vendor partnerships
10+ years in Technical Solutions Delivery, preferably in SaaS or AI & Data software
Proven ability to move beyond POCs to deliver industrial production-grade, scalable products that drive tangible business outcomes
Proven track record in leading end-to-end integrations across transactional (BSS), data, and AI platforms to deliver unified, end-to-end business processes
Strong financial acumen
ability to manage P&L, pricing strategies, and build business cases
Experience leading large / distributed teams to deliver AI / Data products rollouts in complex multinational Environment

Job Responsibility

Product delivery, ownership and Lifecycle Management: Lead the ideation, roadmap, development, and sunsetting of AI products, ensuring they are configurable, scalable, and profitable
Product Portfolio Management: Rationalization of existing products and definition of strategic assets
Product value generation vs cost balance: Own the Product value chain, ensuring products generate sufficient internal recharge or external revenue to cover costs and deliver profit
Product Value Stream Delivery and Cross-Functional Orchestration: lead product value streams coordinating AI product team engineers and pulling resources from the AI Platform, Models, and Agentic AI teams
Market Alignment: Bridge the gap between Group IT and Local Markets/External Customers, moving from a "push" approach to a "customer-centric" design approach
External Sales Enablement: Collaborate with partners like Microsoft and Google, and internal sales teams to package AI products for sale to external enterprise customers

Select Country

Head of Agentic AI

Job Description

Job Responsibility

Requirements

Looking for more opportunities?