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Senior Ai Manager Jobs (NOW HIRING)

Senior AI Agent Engineer

$107K - $146K/yr

Senior AI Agent Engineer Remote - United States Contract Position 6+ Months An innovative ... Managed Agents, Claude Cowork deployments, and coordination of multiple agents • Set up ...

Senior AI Architect Location: Sunnyvale / SF, CA (Hybrid) Level: Senior - Architect (based on ... Collaborate closely with product managers to align AI capabilities with user needs and business ...

Senior AI Engineer

Cupertino, CA · On-site

$58 - $68/hr

Senior AI Engineer We are seeking a Senior AI Engineer to build internal AI systems and ... You'll work closely with AI engineers, product managers, QA, and platform teams to deliver scalable ...

Senior AI Engineer (JR229574)

Yonkers, NY

$108K - $148K/yr

OverviewThe position of Senior AI Engineer within the Data and Analytics function leverages their ... Experience in AI managed services like H20, Snowflake Cortex, etc. * Experience in Snowflake.

... to senior management and Board of Directors of nonprofit/philanthropic organizations. It also ... We are looking for an AI Manager who can bridge the gap between artificial intelligence tools and ...

Senior AI Engineer

Dearborn, MI · On-site

$112K - $148K/yr

We are looking for a Senior AI Engineer with strong hands-on experience in building enterprise AI ... Experience with Azure Functions, App Services, Logic Apps, API Management, Azure SQL, Cosmos DB ...

New

Atlanta, GA (Prefer Locals) Duration: Long Term We're looking for a Senior AI Architect with deep ... Integrate and manage MCP Server for scalable AI infrastructure and agent workflows. * Design and ...

Senior AI Engineer

Piscataway, NJ · On-site

$106K - $146K/yr

Senior AI Engineer Location: Piscataway, NJ (Hybrid from day one) Local to NJ candidates are ... Engage with the client for ongoing communication, requirement gathering, and expectation management.

Senior AI Product Manager

Minneapolis, MN

$132K - $174K/yr

ROLE SUMMARY Senior AI Product Manager (Archetype Lead): The Senior AI Product Manager will lead one of the bank's core AI archetypes, owning a portfolio of AI use cases from discovery through ...

Senior AI Product Manager

Atlanta, GA

$121K - $160K/yr

ROLE SUMMARY Senior AI Product Manager (Archetype Lead): The Senior AI Product Manager will lead one of the bank's core AI archetypes, owning a portfolio of AI use cases from discovery through ...

Senior AI Product Manager

Charlotte, NC · On-site

$123K - $163K/yr

ROLE SUMMARY Senior AI Product Manager (Archetype Lead): The Senior AI Product Manager will lead one of the bank's core AI archetypes, owning a portfolio of AI use cases from discovery through ...

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Senior Ai Manager information

Which 3 jobs will survive AI?

For a Senior AI Manager, roles that require complex strategic decision-making, emotional intelligence, and creative problem-solving are likely to persist, such as executive leadership, specialized research, and client-facing consulting. These jobs involve skills that are difficult for AI to replicate fully, especially when combined with domain expertise and interpersonal abilities.

How much does an AI manager make?

An AI manager's salary typically ranges from $120,000 to $180,000 annually, depending on experience, location, and industry. Senior AI managers with advanced skills in machine learning, data analysis, and leadership can earn higher compensation, often supplemented with bonuses and stock options.

What is the highest paid job in AI?

The highest paid roles in AI are typically senior positions such as AI Director, Chief AI Officer, or Lead AI Scientist, often earning six-figure salaries or higher. These roles require extensive experience, advanced skills in machine learning and deep learning, and often involve strategic decision-making and leadership responsibilities.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI manager or executive role, that offers a total compensation package including salary, bonuses, and stock options. These roles often require advanced skills in machine learning, deep learning, and leadership, and are usually found in large tech companies or innovative startups. Such compensation reflects the high demand for AI expertise and the strategic importance of AI initiatives within organizations.

What are some common challenges a Senior AI Manager faces when leading cross-functional AI teams?

A Senior AI Manager often encounters challenges related to aligning diverse teams—such as data scientists, engineers, and business stakeholders—toward a shared vision. Balancing technical feasibility with business goals and managing expectations around AI capabilities can require strong communication and negotiation skills. Additionally, keeping up with rapid advancements in AI technology while ensuring ethical and responsible AI deployment is crucial. Fostering collaboration, continuous learning, and adaptability within the team helps overcome these challenges.

What are the key skills and qualifications needed to thrive as a Senior AI Manager, and why are they important?

To thrive as a Senior AI Manager, you need deep expertise in artificial intelligence, machine learning, and data science, usually supported by an advanced degree in computer science or a related field and several years of relevant experience. Familiarity with AI development frameworks (such as TensorFlow or PyTorch), cloud platforms (like AWS or Azure), and project management tools is typically required. Exceptional leadership, communication, and strategic thinking abilities help guide teams and align AI initiatives with business objectives. These skills are crucial for driving successful AI projects, fostering innovation, and delivering measurable business impact.

What does a Senior AI Manager do?

A Senior AI Manager oversees the development and implementation of artificial intelligence projects within an organization. They lead teams of data scientists, machine learning engineers, and AI specialists to design, build, and deploy AI solutions that address business needs. In addition to technical expertise, they are responsible for setting strategic direction, managing budgets, and ensuring projects align with company goals. Senior AI Managers also stay current with the latest AI trends and technologies to drive innovation.

What is the difference between Senior Ai Manager vs Data Scientist?

AspectSenior Ai ManagerData Scientist
Required CredentialsBachelor's/Master's in Computer Science, AI, or related fields; leadership experienceDegree in Data Science, Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentLeads AI projects, manages teams, collaborates with stakeholdersAnalyzes data, develops models, interprets results
Employer & Industry UsageTech companies, AI startups, large enterprises integrating AI solutionsResearch institutions, tech firms, finance, healthcare, and data-driven industries

The Senior Ai Manager focuses on leading AI initiatives, managing teams, and strategic planning, while Data Scientists primarily analyze data, develop models, and generate insights. Both roles require strong technical skills, but the Senior Ai Manager emphasizes leadership and project management within AI projects.

What cities are hiring for Senior Ai Manager jobs? Cities with the most Senior Ai Manager job openings:
What are the most commonly searched types of Senior Ai jobs? The most popular types of Senior Ai jobs are:
What states have the most Senior Ai Manager jobs? States with the most job openings for Senior Ai Manager jobs include:
Infographic showing various Senior Ai Manager job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 69% In-person, and 31% Remote job distribution.

Full-time

Posted 15 days ago


Job description

Job Summary:
Solstice Advanced Materials is a leading global specialty materials company that advances science for smarter outcomes. As a Sr. AI Manager, you will lead the delivery of end-to-end AI initiatives across the enterprise, ensuring responsible AI practices and maximizing operational efficiency through collaboration with technical and business teams.
Responsibilities:
• Manage delivery and support operations for Gen AI and AI, supervising AI initiatives considering user needs, new capabilities, and tech advancements.
• Oversee Gen AI, Classical AI, Data Science and Automation initiatives across Enterprise functions such as Supply Chain, Finance, Commercial, Customer Experience, Legal, HR and others.
• Manage and govern AI, GenAI models, AI Apps through experimentation and production lifecycles with MLOPs, LLMOps, AI Gateway and AI Observability tools.
• Accelerate Applied Gen AI Initiatives with creating a rapid iteration loop from idea to execution in line with responsible AI principles. Guide and steer Corporate AI Risk Council balancing risk, compliance and speed for Gen AI adoption.
• Drive evaluation & observability first mindset bringing Gen AI reliability to the center stage. Strategize around creating a robust data flywheel ensuring a roadmap for continuous learning systems.
• Effectively use Gen AI to drive efficiency and optimization throughout the enterprise ecosystem. Collaborate with fellow Data Engineers and Analysts ensuring Data, Analytics and AI strategies share a common vision.
• Provide technical guidance on AI portfolio & strategy, effort sizing & estimation, as well as, build vs buy vs wait decisions.
• Effectively communicate by simplifying AI concepts for a diverse range of stakeholders.
• Collaborate with Enterprise Architecture, Security to help establish standards, frameworks and reference implementations for compound AI systems bringing clarity on classification aware data use and safe AI/Gen AI practices.
• Translate and align key research advancements in AI into actionable strategy for Solstice Advanced Materials, pushing the envelope with state of art, enterprise ready AI solutions.
Qualifications:
Required:
• A master’s degree or PhD in Computer Science, Engineering, Applied Mathematics or related field.
• Minimum 10 years of progressive experience in AI and Analytics, with a demonstrated track record of production grade enterprise-scale application development.
• Expert-level proficiency in Python, SQL with hands-on knowledge of modern data engineering tools and practices.
• Foundational understanding of AI concepts like Self-attention, Transformer architecture, Reinforcement Learning with Human Feedback, Deep Learning, MCP etc.
• Prior experience with Azure AI Search, Qdrant, Postgres Vector or similar vector databases.
Preferred:
• Experience managing high-performing engineering teams and mentoring junior engineers in complex technical environments.
• AI & Advanced Analytics: Hands-on experience with AI/ML platforms (Azure OpenAI, Databricks, MLOps) and implementing enterprise-scale machine learning solutions.
• Experience implementing end-to-end AI & Gen AI solutions especially around RAG, Graph RAG systems or similar semantic search systems.
• Preference alignment or Supervised Fine Tuning of LLMs.
• Large scale data preparation for training LLMs.
• Experiment design or evaluation dataset creation for optimizing AI models.
• Predictive, forecasting or timeseries AI/ML models.
• AI/ML Framework such as Pytorch, Tensorflow or Scikit Learn.
• AI Agent/Workflow Framework such as Langchain, Langgraph, CrewAI, OpenAI SDK, Semantic Kernel.
• Strong ability to translate complex AI concepts to business stakeholders and drive consensus across diverse teams.
• Experience and domain knowledge of enterprise systems of records such as SAP for ERP, Salesforce for CRM and associated E2E processes etc.
• Background in enterprise domains such as Commercial, Finance, Supply Chain, Customer Experience and others.
• Prior publication record in top tier journals or conferences such as NeurIPS, AAAI, EMNLP, MICA or similar.
• Experience with AI Reliability, Trust and Safety, Responsible AI governance frameworks.
• Advanced experience with Infrastructure as Code (IaC) practices, Terraform/Bicep, Docker/Kubernetes, and cloud-native architecture in enterprise environments.
• Working knowledge of languages such as Spark, Scala, Rust, C#, Java or similar.
• Familiarity with IT Operations, ITIL practices and other service management frameworks.
• Ownership and Pride in your work and willingness to work in a diverse, cross-functional environment.
Company:
Solstice Advanced Materials develops advanced chemicals and materials for refrigerants, semiconductors, healthcare packaging, data centres. Founded in 2025, the company is headquartered in Morris Plains, USA, with a team of 1001-5000 employees. The company is currently Late Stage.