Agentic Infrastructure & Engineering Jobs

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472 roles · page 9 of 10

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TypeAgent infrastructure126 Agent engineering153 Developer tooling2 Applied research11 Forward deployed179 Other1

ModeRemote92 Hybrid95 On-site72 Location TBD213

LevelJunior18 Mid-level101 Senior216 Staff26 Principal17 Lead20 Manager18 Level TBD56

472 roles · page 9 of 10

Forward Deployed Engineer - AI & Agentic Engineer
Kyndryl
London, United Kingdom
1d agoTop pickNew
Forward Deployed Engineer III, Generative AI, Geo
Google
Mountain View, CA, USA; New York, NY, USA; Seattle, WA, USA; San Francisco, CA, USA
$174k–$252k/yr
1d agoTop pickNew
Senior AI Agent Engineer
Rumor
Sahibzada Ajit Singh Nagar, Punjab, India
1d agoNew
Staff+ Software Engineer, ML Sampling Path
Anthropic
San Francisco, CA, USA (Hybrid)
$320k–$485k/yr
1d agoNew
AI Platform Engineer
UNIQA CZ
Bratislava, Slovakia or Brno, Czech Republic or Prague, Czech Republic
1d agoTop pickNew
Generative AI Cloud Operations Engineer - Evinova
Evinova
Mississauga, Ontario, Canada (Hybrid)
1d agoTop pickNew
Forward Deployed Engineer AI - CDI - F/H
Talan
Lyon, Auvergne-Rhône-Alpes, France
1d agoTop pickNew
Senior Platform Engineer Azure Focus
D4 Insight
Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates (On-site)
1d agoNew
Forward Deployed Engineer - German Speaking
HappyRobot
Zurich, Zurich, Switzerland
1d agoNew
Artificial Intelligence Engineer
Brown & Brown UK
London, England, United Kingdom (Hybrid)
1d agoNew
Lead AI Engineer
Sun Life
North York, Ontario, Canada
1d agoTop pickNew
Forward Deployed Engineer
Rightbrain AI
Remote (UK) (Remote)
£70k–£80k/yr
1d agoTop pickNew
Principal AI/ML Engineer
Vanguard
Charlotte, NC, United States
1d agoNew
AI Forward Deployed Engineer
Trubrics
London, England, United Kingdom (On-site)
£60k–£70k/yr
1d agoTop pickNew
Manager, Applied AI Engineering (Codex)
OpenAI
Munich and Berlin, Germany (Hybrid)
1d agoTop pickNew
Senior Staff Machine Learning Engineer, GenAI Platform
Reddit, Inc.
San Francisco, CA, United States
$292.5k–$409.5k/yr
1d agoNew
Senior AI/ML Engineer
Optum India
Noida, Uttar Pradesh, India
1d agoNew
Senior AI Engineer - Remote Work | REF#302964
BairesDev
Remote (Worldwide) (Remote)
1d agoTop pickNew
Staff Software Engineer, Identity & Authorization
Replit
Foster City, CA, USA (Remote)
$250k–$375k/yr
1d agoNew
Deployed Architect, Professional Services (Austin)
LangChain
Austin, TX, USA (Remote)
$170k–$215k/yr
1d agoTop pickNew
Engineering Manager, ChatGPT Search Infrastructure
OpenAI
San Francisco, California, United States (On-site)
$401k–$445k/yr
1d agoTop pickNew
Strategist, Agent Development - Public Sector
Sierra
San Francisco, CA | New York, NY (On-site)
$200k–$290k/yr
1d agoNew
Staff/Sr. Staff Software Engineer, Product Engineering
Harvey
San Francisco, California, United States (Hybrid)
$231k–$340k/yr
1d agoTop pickNew
Sr AI Platform Engineer
Realtor.com
Austin, TX, USA
1d agoNew
Software Engineer, Agentic Infrastructure
Vercel
San Francisco, New York City, United States (Hybrid)
$196k–$294k/yr
1d agoNew
Senior LLM and Agentic AI Engineer - Assistant Vice President
Citi
Chennai, Tamil Nadu, India
1d agoTop pickNew
Senior Software Engineer - AI
Newfold Digital
Greater Toronto Area, Canada
1d agoTop pickNew
EY-Parthenon - Strategy and Execution - Growth Platforms - AI/ML Engineer - Sr Associate/Consultant
EY-Parthenon
New York, Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, Hoboken, Philadelphia, San Francisco, Seattle, United States (Hybrid)
$130k–$185k/yr
1d agoNew
Applied AI Architect
Anthropic
Mumbai, India (Hybrid)
1d agoNew
[DH] Engineering Manager, AI Observability
Anthropic
San Francisco, CA, United States (Hybrid)
$405k–$850k/yr
1d agoNew
AI Engineer
Milliman India
Gurgaon, Haryana, India
1d agoNew
Forward Deployed Engineer
Codos
San Francisco Bay Area (Remote)
1d agoTop pickNew
Machine Learning
InfoCepts
Bengaluru, Karnataka, India
1d agoNew
Deployed Architect, Professional Services (Dallas)
LangChain
Dallas, TX, USA (Remote)
$170k–$215k/yr
1d agoTop pickNew
Senior AI Engineer - Enterprise Organisation : £80k : London
Hunter Bond
London, United Kingdom
£80k/yr
1d agoTop pickNew
Senior Lead AI Engineer
M&G India
Mumbai Metropolitan Region, India
1d agoNew
AI Engineer
Marlabs
Pune, Maharashtra, India (Hybrid)
1d agoTop pickNew
AI Engineer 3
Capital One
New York, NY, United States
1d agoTop pickNew
Senior Forward Deployed Engineer (AI)
TP ICAP
London, England, United Kingdom
1d agoNew
Artificial Intelligence Engineer
Wipro
London, United Kingdom
1d agoTop pickNew
Machine Learning Engineer
Docusign
Bengaluru, Karnataka, India (Hybrid)
1d agoTop pickNew
Forward Deployed Engineer (AI)
scalr
San Francisco Bay Area (On-site)
$200k–$300k/yr
1d agoNew
Generative AI Engineer
Oscar
Manchester, United Kingdom (Hybrid)
£55k–£70k/yr
1d agoTop pickNew
Senior AI Platform Engineer
Confidential
Lisbon, Portugal
1d agoNew
Senior AI Engineer
Sun Life
Toronto, Ontario, Canada
1d agoTop pickNew
Software Engineer, Plugin Ecosystem
OpenAI
San Francisco, California, United States (Hybrid)
$185k–$490k/yr
1d agoTop pickNew
Ingénieur IA (Niveau Staff) / Staff AI Engineer
Actalent
Ottawa, Ontario, Canada (Remote)
$190k–$215k/yr
1d agoTop pickNew
Senior AI Software Engineer (F/H)
Deloitte
Grenoble, Auvergne-Rhône-Alpes, France
1d agoNew
Senior Engineer AI
Litmus7
Trivandrum, Kerala, India
1d agoNew
AI Application Engineer
Infosys
Bengaluru East, Karnataka, India
1d agoNew

Back to all roles

Forward deployedSeniorTop pickNew

Forward Deployed Engineer III, Generative AI, Geo

GoogleMountain View, CA, USA; New York, NY, USA; Seattle, WA, USA; San Francisco, CA, USA

Posted 1d ago/Full-time/$174k–$252k/yr/Expires Nov 10, 2026

Apply on company site

Why it matters

The role ships customer-facing agentic workflows, including multi-agent systems and MCP servers, into complex enterprise environments. It owns production integrations, evaluation pipelines, tracing, state optimization, and safety and latency requirements, while turning field patterns into reusable Google AI platform capabilities.

About the job

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

Health, dental, vision, life, disability insurance
Retirement Benefits: 401(k) with company match
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; Seattle, WA, USA; San Francisco, CA, USA.Minimum qualifications:

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
5 years of experience with software development using Python or similar coding languages.
Experience taking production-grade AI-driven solutions from conception to launch for customers.
Experience leading technical discovery sessions with customers.
Experience building pipelines for structured and unstructured data using both vector databases and Retrieval-Augmented Generation (RAG)-like architectures to power enterprise AI solutions.

Preferred qualifications

Master’s degree or PhD in AI, Computer Science, or a related technical field.
Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and patterns (e.g., ReAct, self-reflection, hierarchical delegation).
Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

About The Job

The Forward Deployed Engineer (FDE) for Google Maps Platform (GMP) is a specialized engineering role that sits at the intersection of product development and strategic customer implementation. Unlike traditional engineers who focus primarily on internal product cycles, FDEs work "at the front lines," embedding themselves within the technical ecosystems of our most complex and high-impact partners. Your mission is to ensure that Google's geospatial technology solves real-world business problems at scale.

By embedding with strategic accounts, you serve a dual purpose: providing "white glove" deployment of complex Geospatial AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Maps Platforms future product roadmap.

The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.

The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol (MCP) servers) that drive measurable return on investment.
Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for engineering teams.
Be able to co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Stack

python
rag
langgraph
crewai
adk
mcp

Agentic infrastructure, engineering and tooling jobs