director, AI solutions

Intellias; United States; Remote; USD 250,000 - 400,000; Full time

Benefits offered by this job

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Job summary

Intellias ищет старшего руководителя AI для anchoring её AI Solutions practice в Европе. ЭтоHands-on лидерство на стыке технической глубины, клиентских консультаций и коммерческого роста.

Вы будете работать с бизнес‑сегментами и совместно владеть AI-результатами от формулировки возможностей до развёртывания и масштабирования решений. Требуется 12+ лет в технологиях с hands-on опытом в AI/ML, работе с PyTorch/TensorFlow, и опытом размещения решений на AWS/Azure/GCP.

Qualifications

• Обширный опыт в создании и внедрении AI-решений в компании уровня Fortune 500, с упором на практическую реализацию.
• Понимание современных ML/DL техник и практик MLOps/LLMOps.

Responsibilities

• Консультирование крупных клиентов по стратегиям AI и дорожным картам.

Skills

AI strategy leadership

Pre-sales & solutioning

MLOps / LLM ops

GenAI & agentic systems

Cloud platforms (AWS/Azure/GCP)

Executive stakeholder management

Education

Advanced degree (MSc or PhD) in CS/DS/ML/Engineering

Tools

PyTorch

TensorFlow

Databricks

LLM tooling

Job description

Описание:

Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow! We are building a market-leading AI Solutions practice and are looking for a senior leader to anchor it across Europe. This is a hands‑on leadership role at the intersection of technical depth, client advisory, and commercial growth. You will work with business segments and co‑own AI outcomes end to end — from shaping opportunities and advising client executives, through architecting and delivering production‑grade solutions, to building the team and offerings that let us scale.

Задачи:

• Act as the senior AI advisor and trusted partner to enterprise clients, translating business problems into pragmatic, value‑driven AI strategies and roadmaps.
• Lead pre‑sales and solutioning: shape opportunities, scope and estimate engagements, run discovery and design workshops, and present to senior and C‑level stakeholders.
• Drive proposal and RFP responses, solution narratives, and commercial framing that differentiate us in competitive situations.
• Identify and grow account opportunities, partnering with business development to convert advisory engagements into delivery programs.
• Define and productize repeatable AI offerings, accelerators, and reusable assets that shorten time-to-value and improve delivery margins.
• Establish reference architectures, delivery playbooks, and engineering standards for ML, GenAI, and agentic solutions.
• Contribute to AI practice strategy and external thought leadership (points of view, frameworks, speaking, content).
• Support end‑to‑end delivery of AI programs — from PoC and pilot through to hardened production — ensuring solutions actually ship and operate, not just demonstrate.
• Drive production readiness across the lifecycle: MLOps/LLMOps, evaluation, monitoring, cost management, security, and AI governance.
• Manage program economics, scope, risk, quality, and stakeholder alignment across distributed delivery teams.
• Provide hands‑on technical direction across machine learning, deep learning, and GenAI/agentic systems, with the credibility to lead architecture and design reviews.
• Make and defend platform and architecture decisions across hyperscaler and data ecosystems (AWS, Azure, GCP, Databricks, Salesforce etc.).
• Set technical standards and uphold engineering quality, mentoring senior technical staff.
• Recruit, build, and grow a high‑performing AI delivery organization in Europe across data science, ML/AI engineering, and solution architecture.
• Manage, coach, and develop senior practitioners; foster a culture of capability growth, certification, and continuous learning.
• Operate effectively within a collaborative leadership model alongside business development and technology peers.

Требования:

12+ years in technology, data, or engineering, with strong hands‑on background in AI / ML / data science, including genuine hands‑on practice (not solely oversight). Demonstrable hands‑on expertise in machine learning and deep learning— model development and experimentation with frameworks such as PyTorch or TensorFlow, and a working command of modern ML/DL techniques. Proven track record delivering AI/ML solutions into production at enterprise scale — you have shipped systems that operate reliably in the real world. Production experience on at least one major hyperscaler or data platform(AWS, Azure, GCP or Databricks); multi‑platform fluency is a strong advantage. Hands‑on production experience with GenAI and agentic systems — LLMs, RAG, orchestration and agent frameworks, tool/function calling, and evaluation of non‑deterministic systems. Experience leading both internally and externally — line‑managing internal teams and owning external client programs as a delivery lead, engagement lead, or equivalent accountable role. Executive‑grade client presence — able to advise, influence, and build credibility with senior business and technology stakeholders.

Будет плюсом:

• Prior consulting or IT/professional‑services experience — pre‑sales, offering development, and accountability for running AI projects and programs (including revenue or margin contribution)
• Experience building or scaling an AI / data practice or capability from an early stage
• Deep domain expertise in one or more priority verticals — e.g., retail, automotive & mobility, financial services, healthcare / medtech & life sciences, or telecom — sufficient to speak the client’s language and frame value, not just technology
• Familiarity with EU AI Act, GDPR, and responsible‑AI / governance frameworks as applied to enterprise deployments
• Relevant certifications (AWS / Azure / GCP ML or AI, Databricks)
• Advanced degree (MSc or PhD) in Computer Science, Data Science, Machine Learning, Engineering, or a related field
• Experience operating within nearshore / distributed delivery models
• Additional European languages

Условия:

At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well‑being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual.