Top 53 Augmented generation time space complexity large language models Jobs

Manager II, Engineering - Applied AI (NorAm)
Datadog —New York, NY
- $234,000 - $300,000 a year
- On call
- Hybrid work
- Computer science
- Computer Science
- Bachelor of Science
- Employee stock purchase plan
- Health insurance
Quick Apply
AI Research Engineer – Agentic AI
Bosch Group —Sunnyvale, CA
- $165,000 - $180,000 a year
- Full-time
- Computer science
- Computer Science
- System design
- Health insurance
- Paid time off
Quick Apply
LLM AIOps Development Engineer Graduate (Data Center Networking) - 2026 Start (BS/ MS)
ByteDance —San Jose, CA
- $122,574 - $256,000 a year
- Multiple hires
- Computer science
- Computer Science
- Bachelor of Science
- Paid parental leave
- Paid holidays
Senior LLM/AI Platform Engineer
Peraton —Annapolis Junction, MD
- $112,000 - $179,000 a year
- Computer science
- 7 years
- Computer Science
- Health savings account
- Paid holidays
Cyber Software Engineer, Senior Advisor
Peraton —Laurel, MD
- $112,000 - $179,000 a year
- Computer Science
- 11+ years
- Java
- Health savings account
- Paid holidays
LLM AIOps Development Engineer - Data Center Networking
ByteDance —San Jose, CA
- $150,000 - $387,600 a year
- Computer science
- Computer Science
- System design
- Paid parental leave
- Paid holidays
LLM AIOps Development Engineer - Data Center Networking
TikTok —San Jose, CA
- $150,000 - $387,600 a year
- Computer science
- Computer Science
- System design
- Paid parental leave
- Paid holidays
Infrastructure Operations Lead Cloud and AI GenAI Enablement
Humana —New York State
- $142,300 - $195,700 a year
- Full-time
- Remote
- Computer Science
- DevOps
- System design
- Paid parental leave
- Paid holidays
14d
Director, PEPI - Technology Services CTO Domain
Alvarez & Marsal —Miami, FL
- $150,000 - $225,000 a year
- Full-time
- Product management
- Mentoring
- Senior level
- AD&D insurance
- 401(k)
1d
Director, PEPI - Technology Services CTO Domain
Alvarez and Marsal —Miami, FL
- $150,000 - $225,000 a year
- Full-time
- Bachelor's degree
- Product management
- Mentoring
- AD&D insurance
- 401(k)
16h

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Manager II, Engineering - Applied AI (NorAm)

Datadog -
New York, NY

Quick Apply

Job Details

$234,000 - $300,000 a year

Benefits

Employee stock purchase plan
Health insurance
RSU

Qualifications

Research

Full Job Description

Datadog's Applied AI group builds AI foundations and AI-powered features across the Datadog platform. We train ML models, build agents, and ship natural language interfaces that help thousands of customers detect problems, investigate incidents, and act on their infrastructure. Our teams work with some of the world's richest observability data, hundreds of trillions of data points per day, to build production AI at real scale.

Our work spans ML models, agentic systems, conversational AI, foundation models, and the infrastructure that supports them. As a Manager II, you will lead multiple teams of engineers, applied scientists, and managers in this space. You own the technical direction and the team culture. You drive work from research through production, partner with product to set priorities, and help shape how Datadog uses AI to close the loop between detecting a problem and fixing it.

At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You'll Do:

Lead and grow multiple teams of engineers, applied scientists, and managers working on AI-powered features across the Datadog platform
Set technical vision and strategy for your area in partnership with Product
Ship AI products end-to-end, from data pipelines and model training through evaluation, deployment, and production operations
Coach and develop senior engineers and managers, building a culture of high performance, psychological safety, and clear feedback
Drive collaboration across Applied AI, product, and partner engineering teams to deliver on Datadog's AI priorities
Build evaluation and quality practices for AI systems, offline benchmarks, online metrics, and continuous improvement loops
Own operational excellence for your teams' systems: reliability, on-call, incident response, and technical quality
Hire and plan for organizational growth as the AI group scales
Help shape Datadog's broader AI roadmap and promote best practices in ML engineering and career development across the organization

Who You Are:

An experienced technical leader with a strong background in AI, machine learning, or data science
Proven track record building and shipping ML or AI-powered products in production
Experience leading and mentoring multiple teams, including senior engineers and engineering managers
Deep technical expertise in one or more areas: large language models, agentic systems, anomaly detection, time-series modeling, NLP, retrieval-augmented generation, or ML infrastructure
Comfortable partnering with Product to set vision and strategy, and turning ambiguous problems into clear plans
A strong people manager who can attract, develop, and retain top AI and engineering talent
BS/MS/PhD in Machine Learning, Computer Science, Engineering, or related field, or equivalent professional experience

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
Continuous professional development, product training, and career pathing
An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
Free, global Spring Health benefits for employees and dependents age 6+
Competitive global benefits
Giving programs

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

About Datadog:

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

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Refine Your Search

augmented generation time space complexity large language models jobs

Manager II, Engineering - Applied AI (NorAm)

AI Research Engineer – Agentic AI

LLM AIOps Development Engineer Graduate (Data Center Networking) - 2026 Start (BS/ MS)

Senior LLM/AI Platform Engineer

Cyber Software Engineer, Senior Advisor

LLM AIOps Development Engineer - Data Center Networking

LLM AIOps Development Engineer - Data Center Networking

Infrastructure Operations Lead Cloud and AI GenAI Enablement

Director, PEPI - Technology Services CTO Domain

Director, PEPI - Technology Services CTO Domain

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