Director of Artificial Intelligence Job at Robert Half (Morrisville)

Director of Engineering, Quality Assurance

Leads a large Engineering organization focused on Quality Assurance for new deve...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

First level university degree or equivalent experience required
15 or more years of related work experience in Quality Assurance engineering
10 years of people management experience
Strong software development skills, including automation and tooling related to systems under test
Ability to apply Artificial Intelligence (AI) to accelerate delivery of products while increasing quality
Strong leadership skills, including coaching, team-building, and conflict resolution
Organizational and strategic management skills, including budget and business planning and forecasting
Strong analytical and problem solving skills
Ability to manage human capital across multiple geographies and organizations
Advanced communication skills

Job Responsibility

Provides direct and ongoing strategic leadership for the Hybrid Cloud Quality Assurance organization
Creates strategic and tactical operations and resource plans, goals, and priorities
Manages headcount, deliverables, schedules, and costs for the organization
Engages with program managers, marketing, supply chain, technical leaders and executives to communicate program status
Manages senior relationships and escalated issues with outsourced partners and suppliers
Identifies opportunities for and drives organizational initiatives and programs to support business process improvements
Provides overall people-care management for direct reports

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits supporting physical, financial and emotional wellbeing

Fulltime

Sr Director- Reinforcement Learning

Join Amgen’s Mission of Serving Patients. At Amgen, if you feel like you’re part...

Location

United States

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Doctorate degree and 5 years of Artificial Intelligence/ Machine Learning experience
Master’s degree and 8 years of Artificial Intelligence/ Machine Learning experience
Bachelor’s degree and 10 years of Artificial Intelligence/ Machine Learning experience
PhD or equivalent experience in ML, RL, or related fields
10+ years AI/ML
5+ years reinforcement learning leadership

Job Responsibility

Define enterprise RL roadmaps, landmarks, and success metrics
drive early hands-on prototypes as the capability matures
Architect simulation environments, reward structures, and training loops for scientific and operational RL use cases
Lead algorithmic innovation and technical decisions across model-based RL, policy gradient methods, and actor-critic architectures
Advance RL for scientific domains such as protein design, docking, and structural modeling
expand RL beyond R&D into Manufacturing, Supply Chain, and Commercial applications
Oversee data pipelines, curation, and feature engineering supporting RL experimentation and multi-modal model training
Guide RL pilots from proof-of-concept through production deployment, ensuring ML Ops rigor—versioning, automated testing, monitoring, and continuous training
Partner deeply with biology, engineering, platform teams, product teams, and enterprise AI groups to integrate RL into existing workflows and systems
Mentor and develop talent

What we offer

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models, including remote and hybrid work arrangements, where possible

Fulltime

Director, Artificial Intelligence

Reporting to the Senior Director, IT, the Director – Artificial Intelligence and...

Location

Canada , Saint-Augustin-de-Desmaures

Salary:

Not provided

Biscuits Leclerc Ltd

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
Relevant senior-level experience (approximately 10+ years), including significant experience in a manufacturing or industrial environment
Demonstrated experience deploying AI solutions into production (beyond proof-of-concept)
Strong understanding of AI concepts (including generative AI and advanced analytics) and data governance
Ability to connect AI solutions to manufacturing operational challenges (quality, yield, predictive maintenance, optimization)
Solid experience managing complex projects and prioritizing initiatives based on business value
Inspirational leadership and ability to influence multidisciplinary, technical and non-technical teams
Excellent communication, knowledge-sharing, and change management skills
Strategic mindset, critical thinking, and ability to challenge the status quo

Job Responsibility

Define and lead the company's overall artificial intelligence strategy, aligned with the IT vision and business priorities
Identify, prioritize, and deploy concrete AI use cases that generate measurable gains (productivity, quality, cost reduction, safety, decision-making)
Develop clear and realistic AI roadmaps, including required investments, resources, timelines, and expected benefits
Act as a strategic AI advisor to senior management, operational teams, and external partners
Ensure responsible, ethical, and secure use of AI, including governance, compliance, cybersecurity, and risk management
Define and monitor performance indicators to demonstrate the business value created by AI initiatives
Promote AI adoption through communication, training, and change management support for teams
Collaborate with Business Intelligence and IT teams to ensure alignment between data foundations, analytics, and AI initiatives, without replacing their operational responsibilities
Lead, hierarchically or functionally depending on the initiative, internal teams and external partners involved in AI, data, and advanced analytics projects
Oversee the entire lifecycle of AI initiatives: ideation, proof of concept, industrialization, deployment, and continuous improvement

Fulltime

New

Executive Director – Artificial Intelligence (AI)

Wells Fargo is seeking a Senior Lead Product Manager – Artificial Intelligence (...

Location

United States , Saint Louis; Charlotte; Dallas; Minneapolis

Salary:

139000.00 - 239000.00 USD / Year

Wells Fargo

Expiration Date

June 08, 2026

Requirements

7+ years of experience in Product Management, product development, strategic planning, process management, change delivery, or Agile Product Owner roles, or equivalent demonstrated through work experience, training, military experience, or education
Experience leading Artificial Intelligence (AI), machine learning (ML), or advanced analytics product management initiatives within financial services or other highly regulated enterprise environments
Proven ability to define, own, and execute a multi‑year AI product strategy and roadmap, aligned to enterprise priorities, business outcomes, and operational needs
Strong background in end‑to‑end product management for enterprise‑grade AI platforms, including backlog prioritization, roadmap delivery, platform modernization, and lifecycle ownership
Demonstrated experience translating business problems into AI use cases, value cases, and delivery plans, supporting advisor workflows, client experience, and operational processes
Experience leading cross‑product or portfolio‑level AI initiatives, identifying dependencies, synergies, risks, and prioritization tradeoffs across platforms and channels
Working knowledge of responsible AI principles, AI governance, model risk management, data dependencies, and regulatory expectations, with experience embedding controls into product design and delivery
Proven experience managing AI platforms, data‑driven solutions, or intelligent automation capabilities, including model deployment, workflow integration, and scalable platform evolution
Experience developing and owning business cases for AI capabilities, including articulation of business value, cost, risk, and investment tradeoffs
Strong partnership experience with Technology, Data, Engineering, Risk, Compliance, Legal, Operations, and external vendors in a matrixed enterprise environment

Job Responsibility

Define and own the AI product strategy, outcomes, and end‑state vision, aligning WIM AI initiatives to enterprise priorities and measurable business value
Lead end‑to‑end product management for complex, enterprise‑grade AI platforms, solutions, and capabilities, ensuring scalability, governance, and operational readiness
Partner closely with the WIM Head of AI & Digital Asset Platforms to shape AI roadmaps, investment decisions, prioritization, and product tradeoffs
Translate business problems into prioritized AI use cases, value cases, and delivery plans across advisor, client, and operations domains
Drive cross‑product AI portfolio management, identifying dependencies, synergies, and risks across platforms, workflows, and distribution channels
Guide long‑term AI solution delivery, accounting for regulatory requirements, responsible AI principles, data dependencies, and enterprise technology constraints
Articulate AI product vision and roadmap
define scope
prioritize backlogs
and support platform evolution, model deployment, and workflow integration

What we offer

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement

Fulltime

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