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Ai Ml Manager Jobs (NOW HIRING)

Belva.ai

AI/ML Engineer

Bellevue, WA · On-site

As an AI / ML Engineer, you will work closely with our ML and Data Engineers to turn Machine ... Solid understanding of Python deployment best practices, including dependency management, virtual ...

Saransh Inc

AI/ ML Project Manager

Woodland Hills, CA · On-site

Project Manager (AI/ML) Location: Woodland Hills, CA (Day 1 Onsite) Job Type: Contract Required Skills (Must-have): * Project management - 10+ Yrs of Exp * AI/ML product deliveries or cloud-native ...

Vangard, Inc.

AI/ML Product Manager

Charlotte, NC · On-site

AI/ML Product Manager As an AI/ML Product Manager at Vanguard, you'll help shape how artificial intelligence (AI) and machine learning (ML) enable better outcomes for our clients and our crew. In ...

Vangard, Inc.

AI/ML Product Manager

Malvern, PA · On-site

AI/ML Product Manager As an AI/ML Product Manager at Vanguard, you'll help shape how artificial intelligence (AI) and machine learning (ML) enable better outcomes for our clients and our crew. In ...

Vangard, Inc.

AI/ML Product Manager

Scottsdale, AZ · On-site

AI/ML Product Manager As an AI/ML Product Manager at Vanguard, you'll help shape how artificial intelligence (AI) and machine learning (ML) enable better outcomes for our clients and our crew. In ...

Vanguard Group, Inc.

AI/ML Product Manager

Malvern, PA · On-site

AI/ML Product Manager As an AI/ML Product Manager at Vanguard, you'll help shape how artificial intelligence (AI) and machine learning (ML) enable better outcomes for our clients and our crew. In ...

Aptive

AI/ML Architect

$65.25 - $84/hr

In this role, you will design and maintain robust AI product management pipelines that enable the VA to responsibly deploy and scale AI/ML solutions across its healthcare and benefits delivery ...

Accenture Federal Services

AI/ML Strategist

Arlington, VA · On-site

$140K - $180K/yr

Responsibilities : • Implement and manage governance frameworks for AI/ML models, including model ownership, approvals, API access, and Tier‑4 governance support. • Ensure responsible AI ...

Corsair

AI/ML Engineering Manager

Milpitas, CA · On-site

$170K - $210K/yr

As AI/ML Engineering Manager, you will lead a team while staying hands-on as a technical contributor. You will architect and build AI/ML systems that directly affect how the business operates, engage ...

Aptive

AI/ML Architect

$65.25 - $84/hr

In this role, you will design and maintain robust AI product management pipelines that enable the VA to responsibly deploy and scale AI/ML solutions across its healthcare and benefits delivery ...

Air

Principal Product Manager - AI/ML

Pittsburgh, PA · On-site +1

As the AI/ML Product Manager, you will own the AI/ML roadmap and therefore be accountable for identifying opportunities where artificial intelligence and machine learning can deliver meaningful value ...

Accenture Federal Services

AI/ML Strategist

Arlington, VA · On-site

$139K - $180K/yr

The AI/ML Strategist will implement and manage governance frameworks for AI/ML models, including model ownership, approvals, API access, and Tier-4 governance support. Ensure responsible AI practices ...

Air

Principal Product Manager - AI/ML

Arlington, VA · On-site

As the AI/ML Product Manager, you will own the AI/ML roadmap and therefore be accountable for identifying opportunities where artificial intelligence and machine learning can deliver meaningful value ...

Air

Principal Product Manager - AI/ML

Arlington, VA · On-site +1

As the AI/ML Product Manager, you will own the AI/ML roadmap and therefore be accountable for identifying opportunities where artificial intelligence and machine learning can deliver meaningful value ...

Noblesoft Technologies

AI/ML Engineer

Minneapolis, MN · Remote

$106K - $131K/yr

AI/ML integration with Salesforce CRM (Einstein/Einstein GPT and external technologies like Python-based models or Azure/AWS ML services). 5. Generative AI Knowledge: Familiarity with transformers ...

540

AI/ML Engineer

Arlington, VA · On-site

Manage model versions, artifacts, datasets, and feature-engineering workflows * Optimize AI/ML services and infrastructure for performance, scalability, reliability, and cost efficiency * Collaborate ...

Jobtailor

NY · On-site

$150 - $210/hr

For managers, minimum five years of hands‑on developer experience in machine learning and artificial intelligence stacks * For Directors, at least two years of experience leading teams of AI/ML ...

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Ai Ml Manager information

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

AspectAi Ml ManagerData Scientist
Required CredentialsMaster's in CS, AI, or related field; experience in AI/ML projectsMaster's or PhD in Data Science, Statistics, or related field; strong programming skills
Work EnvironmentLeads AI/ML teams, manages projects, collaborates with stakeholdersAnalyzes data, builds models, interprets results, often works independently or in small teams
Employer & Industry UsageTech companies, AI startups, large enterprises implementing AI solutionsResearch institutions, tech firms, finance, healthcare, and other data-driven industries

The main difference is that an Ai Ml Manager oversees AI/ML projects and teams, focusing on strategy and implementation, while a Data Scientist primarily analyzes data and develops models. Both roles require strong technical skills, but the Ai Ml Manager has additional leadership and project management responsibilities.

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Infographic showing various Ai Ml Manager job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution.

Senior AI/ML Manager - Agentic AI (Remote)

Cognizant Technology Solutions

Englewood, CO • On-site, Remote

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Cognizant rating

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

59th of 72 rated business consultants

Job description

Senior AI/ML Manager - Agentic AI (Remote)
Location: Remote
Employment Type: Full-Time
Job ID: 00070289701
About the Role
As a Senior Manager - AI/ML Engineer, you will design, build, and deploy enterprise AI solutions leveraging LLMs, Agentic AI, and RAG architectures. You will collaborate with cross-functional teams to deliver scalable, secure, and production-ready AI applications.
In this role, you will:
  • Build AI solutions using LLMs, agents, and RAG frameworks.
  • Design scalable AI architectures with workflow orchestration, memory, and state management.
  • Evaluate AI systems for quality, hallucinations, regression, and agent effectiveness.
  • Integrate enterprise data sources and develop intelligent AI workflows.
  • Deploy and manage AI applications using LLMOps/MLOps best practices.

Work Model
We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants. We support a healthy work-life balance through our wellbeing programs.
What You Need to Have to Be Considered
  • 12+ years of experience in AI/ML, Data Science, or Software Engineering.
  • Strong understanding of machine learning algorithms, evaluation metrics, and model validation techniques.
  • Expertise in Agentic AI concepts, including LLMs, RAG, memory, reasoning, and prompt engineering.
  • Hands-on experience building AI solutions using OpenAI, Azure OpenAI, Anthropic, Gemini, or similar platforms.
  • Experience with Python and AI frameworks such as LangChain, LangGraph, Semantic Kernel, or LlamaIndex.
  • Proven experience evaluating AI systems, detecting hallucinations, and measuring model performance.
  • Knowledge of scalable architecture, workflow orchestration, and AI governance.
  • Experience deploying production AI solutions using MLOps/LLMOps practices.

These Will Help You Stand Out
  • Experience with multi-agent systems and advanced orchestration frameworks.
  • Cloud expertise in Azure, AWS, or Google Cloud.
  • Knowledge of AI security, compliance, and responsible AI practices.
  • Experience in regulated industries such as healthcare, insurance, or banking.
  • Relevant AI, ML, or cloud certifications.

Salary and Other Compensation:
Applicants will be accepted till 9/18/2026
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
The annual salary for this position will be in the range of $130,000 - $150,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration.
If you are content with ambiguity, excited by change, and excel through autonomy, we'd love to hear from you!
Apply Now!
#LI-IK1
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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