Head of AI Deployments Job at Assembled (San Francisco)

Head of AI - Driving Innovation Across Product & Enterprise

At Volkswagen Group Innovation, we are pioneering the technologies that will def...

Location

Germany , Wolfsburg

Salary:

Not provided

Volkswagen AG

Expiration Date

Until further notice

Requirements

Successfully completed degree in Computer Science, Physics or Electronics with a strong academic background in Artificial Intelligence, Data Science, or a related field
Deep expertise in Artificial Intelligence, including machine learning, deep learning, and generative AI
A strong track record of leading AI teams and projects, ideally across both product development and enterprise transformation
Leadership experience in research, pre-development and development projects in the field of AI & Machine Learning
Experience in applying AI to real-world automotive or mobility products as well as enterprise systems (e.g., supply chain optimization, predictive maintenance, intelligent automation)
Experience working in international setups, collaborating across geographies and cultures
Strategic thinking, excellent communication skills in English C1 and German B2 and the ability to inspire and align diverse stakeholders

Job Responsibility

Managing and inspiring a group of AI developers working across international hubs as well as fostering collaboration with top experts and diverse stakeholders, aligning teams around strategic objectives
Developing with the team intelligence features and ensuring integration of AI into real-world automotive and mobility products
Bridging research and implementation by identifying promising AI technologies and ensuring their scalable deployment as well as engaging with internal and external partners to drive AI transformation
Product AI Leadership: Driving intelligent features in areas such as Autonomous Driving, Smart Cabin Experiences, and other next-generation mobility solutions
Enterprise AI Strategy: Leveraging AI to enhance efficiency, logistics, and production processes, unlocking new levels of operational excellence

What we offer

30 vacation days + 24.12. and 31.12. off
40-hour week
Company pension
Flexible working hours
Mobile working
Training and consulting offers
Special conditions for the purchase and leasing of vehicles
Bicycle leasing
Sabbatical program

Fulltime

Head of Data and AI

As the Head of Data and AI, you will drive innovation by identifying and integra...

Location

Sweden , Stockholm

Salary:

Not provided

DanAds

Expiration Date

Until further notice

Requirements

Proven experience building and leading centralized Data/AI teams, including data engineering, data science, and MLOps functions
5+ years of experience deploying ML models into production on AWS (SageMaker, MLOps pipelines)
Experience deploying AI-powered features into customer-facing SaaS platforms
Proven expertise in exposing ML inference via scalable, low-latency REST APIs
Strong background designing and managing high-volume data pipelines (e.g., Kinesis, Kafka, Spark) for feature engineering
Experience implementing model monitoring, drift detection, and XAI frameworks, including establishing an AI governance framework
Advanced degree (MS/PhD) in Computer Science, Statistics, or a quantitative field
Demonstrated ability to translate AI capabilities into product strategy
Deep understanding of data security, PII handling, and privacy-by-design (GDPR, CCPA, SOC2) as applied to ML systems

Job Responsibility

Design, train, and deploy production-grade ML models (using AWS SageMaker, Bedrock, Comprehend) for predictive analytics, anomaly detection, recommendation engines, and automation
Own the entire ML model lifecycle, from training and versioning to secure, low-latency deployment on AWS
Define and implement a company-wide data strategy, including governance, quality, lineage, and access control
Partner with the Domain Expert to formalize AI-driven rules within the BRD
Implement robust monitoring for model drift, bias, and performance
Develop and expose "explainability" endpoints for critical AI decisions
Work with the Platform Back-End Dev to define data pipelines and API contracts for real-time model inference

What we offer

Competitive salary
Wellness grant and occupational pension
A fun and entrepreneurial environment
Career growth opportunities
Industry leading clients such as Paramount Advertising, Yahoo, Nine Group, Roku and many more

Head of Engineering

Cozycozy is the only platform that gives you real-time access to all available h...

Location

France , Paris

Salary:

Not provided

cozycozy

Expiration Date

Until further notice

Requirements

Master's degree in computer science, engineering or a related field
Experience in overseeing technical teams or individuals as a team lead or manager
Fluent in English (written & spoken)
Strong foundational knowledge of backend and frontend technologies, especially Node.js, Angular, and TypeScript
Experience with databases [MongoDB, MySQL, PostgreSQL]
Knowledge of Kubernetes, Docker, and CI/CD tools like Gitlab and Jenkins
Experience in system architecture management and scalable infrastructures
Experienced in AI and familiar with machine learning technologies
Comfortable managing stakeholders and building strong cross-team relationships
Excellent communicator and team player with proven collaborative skills

Job Responsibility

Developing and implementing our technical strategy and roadmap
Establishing a strong tech culture that promotes innovation and best practices within the IT team
Recruiting and leading the software engineering team
Developing and managing the technical roadmap in collaboration with product and business teams and project managers
Managing technical projects while ensuring adherence to deadlines, quality, and budget
Allocating necessary resources and ensuring timelines are met
Overseeing our global backend and frontend development
Leading rigorous code reviews to ensure software quality and performance
Participating in system architecture decisions
Supervising the design and implementation of a scalable and reliable system architecture

What we offer

Competitive salary
Stock options
Alan health insurance
Swile card
Office in Paris with unlimited coffee, tea, snacks, and drinks

Fulltime

Vp/lead Vp, Mrm Ai Coe

Model Risk Management (MRM) at HSBC is structured as a global function, headed u...

Location

Poland , Krakow

Salary:

23300.00 - 30900.00 PLN / Month

HSBC

Expiration Date

June 08, 2026

Requirements

Master’s or PhD degree in a quantitative discipline like Science, Engineering, Mathematics, Statistics, Quantitative Finance, or Engineering
Data Scientist with relevant experience leading the building or validating AI products
Deep understanding of AI models, algorithms and the associated mathematics
Experience with Python, including the main libraries used for data science and AI (e.g. PyTorch, TensorFlow, scikit-learn)
Knowledge of the risks associated with developing, deploying and using AI in large commercial organizations
Knowledge of the regulatory landscape for AI and ability to access the impact of proposed changes in these regulatory rules to the bank
Knowledge of AI research, methodologies and techniques, particularly General Purpose AI, Deep Neural Networks, Agentic AI frameworks and statistical analysis (Variable Reduction, Feature engineering) with Supervised and Unsupervised machine learning algorithms
Expertise with data cleaning, feature engineering, and data normalization techniques
Active interest in the latest tools and ways of working linked to AI, with the ability to apply this knowledge in a flexible way adapting to varied circumstances across HSBC
Ability to promote a strong risk control culture and continually improve risk awareness

Job Responsibility

Lead the local MRM AI CoE team in Krakow based on direction from the Global Head, MRM AI CoE, coordinate with the Head, MRM AI CoE in India
Monitor academic, industry and internal HSBC developments in AI tools, techniques and ways of working to support a forward-looking agenda for emerging risks and challenges that ERM and the Bank may face, and ensure MRM’s approach to AI remains effective, efficient and up to date
Undertake AI related model validation activities as dictated by the Global Model Risk Policy including the assessment of
model inputs, calculations, reporting outputs, conceptual soundness of the underlying theory and the suitability of the use for its intended purpose, relevance and completeness of data, qualitative information and judgements, documentation, and implementation of the model
Identify opportunities to use AI tools and techniques to improve internal MRM processes
Adapt or refine existing AI tools to enable their use for internal MRM processes
Provide written reports detailing the results of validations highlighting issues identified during the validation
Validate remediation activities completed by the ILOD to ensure appropriate resolution of identified issues
Work with relevant stakeholders to support the embedding of new Global Model Risk Policies and Procedures
Provide model users, model owners, senior management, audit, and regulators (across 1LOD, 2LOD, 3LOD) with confidence that the models and tools developed, maintained, and used within the Group are compliant with internal and regulatory expectations and fit for the intended purpose

What we offer

Additional car allowance in the amount of 4,786 PLN (monthly, gross)
Additional bonuses for recognition awards
Multisport card
Private medical care
Life insurance
One-time reimbursement of home office set-up (up to 800 PLN)
Cafeteria platform
Employee assistance program
Additional contributions to PPK scheme
Corporate parties & events

Fulltime

New

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 Development

We are looking for a highly skilled and visionary leader to drive AI innovation ...

Location

Salary:

Not provided

UltaHost

Expiration Date

Until further notice

Requirements

Proven experience in AI/ML development, ideally within the web hosting or tech industry
Strong proficiency in Python for backend and AI/ML solutions
Solid understanding of web hosting technologies and protocols
Strong leadership skills with a track record of managing technical teams and projects
Ability to communicate complex AI concepts to diverse stakeholders effectively

Job Responsibility

Lead the design, development, and deployment of AI-powered features for UltaHost platforms
Oversee a team of AI engineers, data scientists, and software developers
Collaborate with other departments to identify opportunities for AI integration
Ensure seamless deployment of AI solutions into production environments with a focus on scalability and reliability
Keep UltaHost ahead of the curve by staying informed about the latest AI trends and technologies

What we offer

Competitive salary and performance-based incentives
Flexible work environment, including remote work options
A vibrant, collaborative culture with opportunities to grow and innovate
Professional development support to keep you at the forefront of AI advancements
Extra benefits and perks for candidates with expertise in Go development

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

Vice President - Technology (AI Security & Risk Manager)

The Technology department at our client is responsible for creating and continuo...

Location

United States , New York

Salary:

150000.00 - 175000.00 USD / Year

Renner Brown

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Security, Data Science, or a related field
advanced degree a plus
At least 7–10 years of experience in information security, technology risk, or a related field, with a minimum of 3 years focused on AI systems, machine learning security, or AI governance
Deep understanding of the AI and LLM landscape, including foundation model architecture, agentic systems, RAG pipelines, and the risk implications of each
Hands-on experience evaluating AI platforms and products, including the ability to assess vendor claims about model behavior, data handling, and security controls with appropriate skepticism
Familiarity with AI risk frameworks and emerging standards, including NIST AI RMF, MITRE ATLAS, OWASP LLM Top 10, and ISO/IEC 42001
Experience with vendor risk management in a regulated financial services environment, including contract negotiation support and third-party security assessments
Knowledge of relevant regulatory frameworks including DORA, SOX, SEC cybersecurity disclosure rules, and GDPR/CCPA as they apply to AI data flows
Strong technical skills sufficient to evaluate AI system architecture, API security, data pipeline design, and access control models without reliance solely on vendor documentation
Excellent communication skills, with the ability to translate highly technical AI risk concepts into clear, decision-ready language for senior leadership, Legal, and Compliance

Job Responsibility

Own and maintain the firm's AI risk framework, covering model risk, data privacy, adversarial threats, third-party AI, and regulatory compliance
Develop and enforce AI usage policies in collaboration with Legal and Compliance, including acceptable use, data classification requirements, and prompt handling standards
Maintain an inventory of AI tools deployed firm-wide — both sanctioned and shadow — and assess associated risk profiles
Provide regular AI risk reporting to the Head of Technology Risk and senior leadership, including emerging threat trends, vendor posture changes, and control gaps
Monitor the evolving regulatory environment for AI (EU AI Act, SEC guidance, DORA, NY DFS) and advise on compliance obligations and required controls
Lead security and risk assessments of vendors introducing AI capabilities into existing or new platforms, including evaluating model transparency, data handling practices, and auditability
Develop and maintain a structured AI vendor evaluation framework, incorporating criteria for model governance, output reliability, data residency, and incident response obligations
Partner with Procurement and Legal to ensure AI-specific provisions are reflected in vendor contracts, including data usage restrictions, model change notifications, and liability terms
Maintain a tiered risk register of third-party AI integrations, with ongoing monitoring for material changes to vendor AI functionality, architecture, or ownership
Engage directly with vendor security and product teams to assess AI-related controls and drive remediation of identified gaps

Fulltime

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Head of AI Deployments

Job Description

Job Responsibility

Requirements

What we offer

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