Head of Agentic AI Job at Vodafone (Milano)

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Head of Applied AI & Agent Factory - Managing Director

Location

United States , New York

Salary:

250000.00 - 500000.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

15+ years of progressive leadership experience, including senior roles building and scaling delivery organizations - consulting partnerships, Forward Deployed Engineering / solutions engineering teams, or comparable in-business technology delivery functions inside complex firms.
Builder-operator profile — has personally stood up and scaled delivery organizations from a small core to hundreds of practitioners, ideally inside or alongside large, regulated businesses.
Deep current expertise in modern AI - agentic systems, LLM-based applications, AI evaluation and certification, and the practical realities of getting AI agents adopted in production enterprise environments.
Strong commercial and storytelling skills - credible peer to business COOs and CEOs
able to co-design process redesigns and to sell the change rather than impose it.
Bias to action, ruthlessly outcome-focused - relentless on real adoption, usage, and business impact rather than activity metrics
comfortable killing projects that aren't landing.
Cross-functional influencer - proven ability to operate in a matrixed environment across product, platform, controls, and business stakeholders without direct authority over all of them.
Strong financial acumen - fluent in business cases, ROI realization, and the commercial drivers of a complex global firm.
Risk & Compliance awareness - understands controls, model risk, and regulatory expectations as they apply to AI agents in global banking.

Job Responsibility

Operate the Agent Factory: an industrialized capability for the design, build, evaluation, and certification of enterprise AI agents at Citi scale.
Define and continuously evolve the firm's standards, patterns, and reference implementations for enterprise agents in close partnership with the Head of Core AI Platform (who provides the agentic runtime, guardrails, and evals) and the Head of Responsible AI (who owns approval and controls).
Own the official enterprise agent catalog - the curated, certified set of agents that Citi formally sanctions for production use across the firm - including lifecycle management, versioning, and decommissioning.
Build and lead a cadre of Applied AI engineers embedded directly into business lines, partnering with business COOs and process owners to design, deliver, and scale AI agents inside real workflows.
Co-design agent-led process redesigns with business COOs - moving beyond point automations to the redesign of end-to-end business processes around AI agents.
Operate a deliberate 'delivery-to-platform' feedback loop: ensure reusable assets, patterns, and components emerging from business-specific work are fed back into the Core AI Platform and Enterprise AI Solutions portfolio rather than re-built.
Partner with the Head of Enterprise AI Solutions to graduate high-leverage, repeatedly built business solutions into productized, horizontal capabilities.

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/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:

Not provided

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

Head of Responsible AI - Director

Citi Wealth Management is seeking a senior technology leader to establish and le...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

15+ years of overall technology experience in AI/ML, data platforms, or enterprise technology leadership
Minimum 5+ years of hands-on AI implementation experience designing and deploying AI solutions at scale within large enterprise environments, preferably in financial services
Demonstrated experience implementing Generative AI, AI agent systems, and machine learning solutions in production
Experience building AI evaluation frameworks, observability platforms, and AI guardrails
Strong understanding of AI governance, model risk management, and regulatory compliance
Proven ability to lead enterprise AI initiatives and drive adoption across multiple teams

Job Responsibility

Lead the design and implementation of enterprise evaluation frameworks to measure performance, safety, and reliability of AI models, Generative AI systems, and AI agents
Establish enterprise observability capabilities to monitor the behavior and performance of AI systems
Develop enterprise guardrails and governance frameworks to ensure safe and compliant AI usage
Define governance models for autonomous and semi-autonomous AI agents deployed across wealth management systems
Partner with technology and business teams across the organization

Fulltime

Head Of Infrastructure And Ai Systems

Radix is building the most trusted data and analytics platform in multifamily. J...

Location

United States , Scottsdale

Salary:

Not provided

Radix (AZ)

Expiration Date

Until further notice

Requirements

Brings 10 or more years of experience in platform, infrastructure, or systems engineering, with deep exposure to operating complex production systems rather than only building them
Demonstrates deep expertise in AWS core services, along with hands on experience in Azure, including identity federation and cross cloud integration patterns
Possesses production level experience with Kubernetes and strong proficiency in Databricks, including cluster management, scaling, security, Spark tuning, and data governance
Treats infrastructure as code as a default practice, with Terraform preferred, and builds robust observability systems across metrics, tracing, and logging with a proactive mindset
Thinks in systems, maintaining a full stack perspective from DNS through application layers to agent behavior, while identifying risks and anti patterns early
Operates with a strong Day 2 mindset, embedding reliability, operational readiness, and security as core design principles from the outset
Has real world experience integrating AI and LLM systems into production environments, with a deep understanding of agent safety, trust boundaries, observability, and failure modes
Is motivated by the challenge of enabling reliable collaboration between human engineers and AI agents, while staying current on the evolving AI infrastructure landscape
Exhibits curiosity, resilience, and adaptability when navigating ambiguity and working within fast moving, evolving systems
Thrives in high growth startup environments with strong ownership, operating with autonomy and transparency while leading through hands on execution

Job Responsibility

Architect and build the Agent Harness, the system of controls, context, and guardrails that govern how AI agents are deployed, monitored, constrained, and evolved across the platform
Define and enforce operational contracts between human engineers and AI agents, including access boundaries, audit trails, rollback mechanisms, and trust boundaries
Translate desired agent outcomes into concrete infrastructure requirements, including defining what context agents require, what systems they can interact with, and how failures are handled
Own the reliability and observability of agent driven workflows end to end, from initial invocation through downstream system impact
Evaluate, select, and integrate LLM tooling, agent orchestration frameworks, and emerging AI native infrastructure primitives as the ecosystem evolves
Own and operate all cloud infrastructure across AWS as primary and Azure, including compute, networking, storage, security posture, and cross cloud integration patterns
Architect, operate, and continuously improve Kubernetes clusters at production scale, including workload isolation, autoscaling strategies, cost optimization, and multi environment lifecycle management
Own and evolve the Databricks environment, including cluster configuration, job orchestration, access controls, and data governance, while defining clear infrastructure contracts between data engineering and the broader platform
Drive infrastructure as code practices with Terraform preferred and with a strong emphasis on repeatability, auditability, and operational simplicity
Ensure infrastructure is appropriately sized and cost efficient, intentionally architected for current team needs rather than speculative future scale

What we offer

Medical, dental and vision coverage designed to support your wellbeing
Uncapped Paid Time Off
Pre-IPO Equity
Performance Bonus
Learn From the Best
Build Category-Defining Products

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

Staff AI Product Engineer

Staff AI Product Engineer (Prague/Brno/Remote EU) - Product Engineering at Produ...

Location

Czech Republic , Prague

Salary:

Not provided

ProductBoard

Expiration Date

Until further notice

Requirements

6+ years of professional software engineering experience, with a proven track record of shipping scalable production systems
Hands-on experience with LLMs in real products — including prompt design, context management, evaluation, and understanding real-world limitations (hallucinations, latency, cost, reliability)
Strong backend development skills in Python, Kotlin, or Java, with experience designing and evolving service-level logic and infrastructure
Proven ability to own features end-to-end across backend and frontend systems
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 use 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)
Extra credit: 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

Job Responsibility

Build AI-first product features
Design and implement agent workflows that go beyond chat: multi-step reasoning, tool use, autonomous task execution, and human-gated checkpoints
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
Optionally join a team building LLM-powered workflows that process and categorize unstructured feedback from multiple sources, turning it into actionable user insights
Drive discovery and experimentation across different domains by building MVPs and POCs, discussing findings with engineers and product teams, and shaping execution plans
Collaborate closely with product managers and designers to shape what we build, not just how we build it
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
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

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Head of Agentic AI

Job Description

Job Responsibility

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