Head of AI Deployments Job at Assembled (San Francisco)

Head of AI Transformation - APJC, Generative AI Innovation Center

Are you passionate about helping customers achieve business transformation throu...

Location

Singapore , Singapore

Salary:

Not provided

Amazon

Expiration Date

Until further notice

Requirements

10+ years of external or internal customer facing, complex and large scale project management experience
7+ years of scientists or machine learning engineers management experience
Experience presenting complex ideas in writing in the form of authoring white papers, proposals, or other formal strategy documents
Experience in machine learning, data mining, information retrieval, statistics or natural language processing
Bachelor's degree in Computer Science, Math, or a related field
15+ years sales experience with large global companies
Cloud/Consulting/IT advisory sales or services experience
credibility to sell complex transformational IT consulting engagements
Customer relationship management, executive presence, and collaboration skills
Experience participating in the sales lifecycle (directly or indirectly)

Job Responsibility

Lead a high-performing, multidisciplinary team of ML engineers, AI scientists and strategists
Own the regional engagement pipeline — identify, qualify, and land C-suite-sponsored AI transformation programs with enterprise customers
Guide the team in designing, building, and deploying production AI solutions
Drive a land-and-expand motion: prove value in focused sprints, then scale across business units with executive sponsorship
Operate as a GM — balancing technical delivery, talent development, commercial outcomes, and operational excellence
Advise and influence customers on enterprise AI strategy, including architecture decisions, organizational readiness, and change management
Drive adoption of AWS generative AI services by delivering AI expertise and developing repeatable transformation playbooks
Develop new strategies and mechanisms to address evolving customer needs while increasing business velocity and impact for AWS
Influence product roadmap with service teams based on customer feedback

Fulltime

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 - Commercial

The Head of AI – Commercial is responsible for defining and delivering the AI st...

Location

United Kingdom , London

Salary:

Not provided

Parking Network B.V.

Expiration Date

August 31, 2026

Requirements

Significant experience leading AI, data, or digital transformation initiatives within Commercial, Sales, Marketing, or related domains
Strong understanding of commercial processes, customer lifecycle management, and revenue models
Proven track record delivering AI or data-driven solutions at scale
Experience working within governance and regulated environments
Strong stakeholder management and executive communication skills
Strategic thinker with strong commercial awareness
Outcome-driven with a focus on measurable business value
Collaborative leader able to influence across business and technical teams
Strong commitment to responsible and ethical AI
Ability to operate effectively in fast-paced, evolving environments

Job Responsibility

Define and execute the AI strategy and roadmap for the Commercial domain aligned to enterprise priorities
Partner with Commercial leadership to identify high-value opportunities across sales, marketing, customer engagement, and revenue optimisation
Build and maintain a prioritised pipeline of AI initiatives focused on improving commercial performance and scalability
Act as a trusted advisor to senior stakeholders on AI-driven opportunities and their impact on business outcomes
Own end-to-end delivery of Commercial AI initiatives from discovery through to deployment and adoption
Lead cross-functional teams (data, engineering, product, and Commercial SMEs) to deliver AI solutions at pace
Ensure solutions are scalable, reusable, and aligned with enterprise AI platform standards
Drive adoption and integration of AI solutions into commercial workflows to deliver sustained outcomes
Lead the design and delivery of AI-enabled solutions that: Enhance customer and market insight generation, Improve targeting, segmentation, and engagement strategies, Enable more effective identification of commercial opportunities, Support data-driven decision-making across sales and marketing processes
Focus on improving visibility, consistency, and effectiveness across commercial activities through advanced analytics and AI

Fulltime

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 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 AI Engineering

As Head of AI Engineering at Serval, you'll play a pivotal role in shaping the f...

Location

United States , San Francisco

Salary:

250000.00 - 400000.00 USD / Year

Serval

Expiration Date

Until further notice

Requirements

6+ years of experience as an AI / ML focused software engineer
Experience with applied AI development: You have built new products or systems from the ground up using foundational models
You have experience creating and fine-tuning new models, then deploying and refining them in production
Deep appreciation for and commitment to delivering outstanding user experiences
Exceptional communication skills and a proven ability to work cross-functionally
Comfortable with the pace and ambiguity of a fast-growing startup environment
Degree in Computer Science or a related engineering field

Job Responsibility

Partner closely with our CTO to define and implement the foundational AI / ML architecture for Serval and select key technologies for our platform
Be responsible for building AI-powered product capabilities and refining them through ongoing evaluation
Be a champion for user experience, incorporating a deep understanding of our users to guide design decisions alongside the founding team
Help us deliver on our technical and product roadmap
Help establish engineering best practices and standards within the team
Mentor junior engineers and contribute to a culture of technical excellence

What we offer

Offers Equity
Comprehensive health coverage
Flexible PTO
Daily lunches and snacks
Onsite gym access
Regular team events and offsites

Fulltime

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

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Head of AI Deployments

Job Description

Job Responsibility

Requirements

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