Agentic Infrastructure & Engineering Jobs

[ 01 ]

OPEN ROLES

472 roles · page 5 of 10

Filters

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 5 of 10

Applied AI ML Lead - Python & Agentic AI
JPMorganChase
Glasgow, Scotland, United Kingdom
1d agoNew
Forward Deployed Graduate Engineer
Coforge
London, England, United Kingdom
1d agoTop pickNew
Senior / Staff AI Engineer
Snorkel AI
New York City, NY, USA; San Francisco, CA, USA (Hybrid)
1d agoTop pickNew
Forward Deployed Engineer / AI Engineer MX
Toku
Mexico City, Mexico (Hybrid)
1d agoNew
Software Engineer - AI
Newfold Digital
Greater Toronto Area, Canada
1d agoTop pickNew
Strategist, Agent Development - Financial Services
Sierra
San Francisco, CA, United States | New York, NY, United States (On-site)
$200k–$290k/yr
1d agoTop pickNew
Senior Machine Learning Engineer
UnderwriteMe
London, England, United Kingdom (Hybrid)
1d agoTop pickNew
Senior Applied Ai Engineer, Ai Platform
bunch
Madrid, Community of Madrid, Spain
1d agoTop pickNew
Strategist, Agent Development - Flagship Deployment
Sierra
San Francisco, CA, United States | New York, NY, United States (On-site)
$200k–$290k/yr
1d agoNew
Forward Deployed Engineer, Agentic Platform (Europe)
Cohere
European Union (Remote)
1d agoTop pickNew
Senior AI Engineers (LangGraph Specialists)
SS&C Technologies
Pune/Pimpri-Chinchwad Area, India
1d agoNew
Forward Deployed Engineer - London (Spanish-speaking)
OpenAI
London, UK (Hybrid)
1d agoNew
Artificial Intelligence Engineer
RedCompass Labs
Manchester, United Kingdom
1d agoTop pickNew
Agent Deployment Engineer
Decagon
Australia (On-site)
AUD 200k–AUD 270k/yr
1d agoTop pickNew
AI Platform Engineer
Super
Madrid, Community of Madrid, Spain
1d agoTop pickNew
Applied AI Engineer, Government, International
OpenAI
London, UK (Hybrid)
1d agoNew
Senior Deployed AI Engineer – Anthropic
Artefact
Greater São Paulo Area
1d agoTop pickNew
Applied AI Architect, Partner
OpenAI
Tokyo, Japan (Remote)
1d agoNew
Artificial Intelligence Developer
BrainRidge Consulting
Toronto, Ontario, Canada
1d agoTop pickNew
AI Platform Engineering Specialist
Randstad Enterprise
Montreal, Quebec, Canada (Hybrid)
1d agoNew
AI Engineer - FDE (Forward Deployed Engineer)
Databricks
Seoul, Seoul, South Korea
1d agoTop pickNew
Staff/Sr. Staff Software Engineer, Product Engineering
Harvey
New York City or San Francisco, United States (Hybrid)
$231k–$340k/yr
1d agoTop pickNew
Senior AI Platform Engineer
IT Factory
Warsaw, Mazowieckie, Poland (Hybrid)
1d agoNew
Forward Deployed Engineer
AustinWorks
New York, NY, USA
$200k–$500k/yr
1d agoTop pickNew
Product Security Engineer, North Security
Cohere
Canada (Remote)
$180k–$385k/yr
1d agoNew
Developer Productivity
LangChain
San Francisco, CA, USA or New York, NY, USA (On-site)
$175k–$240k/yr
1d agoNew
Senior AI Engineer
Crexi
Los Angeles, CA, United States
1d agoTop pickNew
Software Engineering Manager, AI Observability & Evals Platform
LangChain
Boston, MA, USA (On-site)
$200k–$240k/yr
1d agoTop pickNew
Senior AI Engineer
dunnhumby
Gurugram, Haryana, India
1d agoTop pickNew
Deployed Architect, Professional Services (Remote)
LangChain
Remote (Remote)
$170k–$215k/yr
1d agoTop pickNew
Member of Technical Staff (EMEA)
Fireworks AI
London
1d agoNew
Forward Deployed Engineer
MBN Solutions
London, England, United Kingdom (On-site)
Up to £80k/yr
1d agoTop pickNew
Senior Applied AI Engineer
Culture Amp
Melbourne, Victoria, Australia (Hybrid)
1d agoTop pickNew
AI Engineer (LLM Agents & RAG)
Raglic
Lakhipur, Assam, India (Remote)
1d agoTop pickNew
Applied AI Engineer, Codex | Tokyo
OpenAI
Tokyo, Japan (Hybrid)
1d agoTop pickNew
Senior Applied AI Engineer
Bubble
Remote (United States) (Remote)
$201k–$261k/yr
1d agoTop pickNew
Generative AI Applications Engineer (Agents & RAG)
Accenture Federal Services
Washington, DC, United States
1d agoTop pickNew
Senior AI Engineer (AI Platform)
ASOS.com
London, England, United Kingdom
1d agoTop pickNew
Engineer / Senior Engineer, AI Platform
DSTA
Singapore, Singapore
1d agoTop pickNew
AI Engineer 4 (Gen AI Platform Services)
Capital One
McLean, VA, United States
1d agoTop pickNew
Forward Deployed Engineer, Enterprise AI
Handshake
San Francisco, CA, USA (On-site)
$155k–$170k/yr
1d agoTop pickNew
AI Engineer (LLMs & Agents)
Elixirr Digital
Zagreb, Croatia
1d agoTop pickNew
Senior, AI Engineer
Bain & Company
São Paulo, São Paulo, Brazil (Hybrid)
1d agoTop pickNew
Software Engineer, AI for Chip Design
OpenAI
San Francisco, California, United States (Remote)
$266k–$468k/yr
1d agoNew
Senior AI Full‑Stack Engineer
Manulife
Waterloo, Ontario, Canada (Hybrid)
CAD 113k–CAD 163k/yr
1d agoNew
Forward Deployed Engineer
Anthropic
London, UK (On-site)
£225k–£255k/yr
1d agoTop pickNew
Senior Software Engineer, Agent Platform
Commure
Rio de Janeiro, Rio de Janeiro, Brazil
$50k–$93k/yr
1d agoTop pickNew
AI Engineer, Agent at Eloquent AI
Jack & Jill
San Francisco, CA, USA
1d agoTop pickNew
AI Engineer
FacilityOS
North York, Ontario, Canada (Hybrid)
CAD 120k–CAD 150k/yr
1d agoTop pickNew
AI Engineer
SLR Consulting
London, England, United Kingdom
1d agoTop pickNew

Back to all roles

Agent engineeringLeadNew

Applied AI ML Lead - Python & Agentic AI

JPMorganChaseGlasgow, Scotland, United Kingdom

Posted 1d ago/Full-time/Expires Nov 10, 2026

Apply on company site

Why it matters

The role owns production agentic systems including tool-using agents, prompt routing, guardrails, evaluations, and enterprise model-to-tool/data integrations. Preferred work includes multi-step workflows, planning, memory, supervision, fallbacks, scalable inference, and evaluation methods in a regulated environment.

About the job

Job Description

As a Applied AI/ML Lead Engineer in our Applied AI ML - Python & Agentic AI team, you will design, build, and productionize Generative AI and Agentic AI solutions. The ideal candidate brings a balanced mix of modern AI/ML delivery (LLMs/SLMs, RAG, tool-using agents, evaluation, MLOps) and backend/service engineering (Java and/or Python, APIs/microservices, testing, CI/CD, observability, reliability) on AWS and cloud-native platforms.

This role values modern AI engineering workflows and tooling such as GitHub Copilot and Claude Code to accelerate delivery while maintaining quality and security. Familiarity with MCP (Model Context Protocol), Agent Skills and designing agentic systems that integrate models with tools and enterprise data via structured interfaces is a plus.

Job Responsibilities

Design, develop, and deploy GenAI and Agentic AI solutions that improve automation, decision-making, and user experience across business workflows.
Build LLM/SLM-powered applications including RAG-based systems, summarization/extraction pipelines, chat/coplay experiences, and tool-using agents.
Engineer production-grade services using Java and/or Python (REST/gRPC APIs, microservices, libraries), following secure coding and reliability best practices.
Develop prompt strategies and prompt engineering assets (templates, routing, guardrails), and implement automated evaluation to improve quality over time.
Build and maintain data pipelines and processing workflows required for ML/GenAI use cases using cloud services.
Apply MLOps practices across the lifecycle: experimentation, versioning, CI/CD, deployment, monitoring, and maintenance for models/prompts/agents.
Implement robust testing (unit/integration), performance benchmarking (latency/cost), and observability (logging/metrics/tracing) for AI services.
Collaborate with cross-functional stakeholders to define requirements, success metrics, and rollout plans; communicate complex topics clearly to technical and non-technical audiences.
Strong problem-solving skills and ability to work effectively in ambiguous environments with multiple stakeholders.

Required Qualifications, Capabilities, And Skills

Undergrad or Master's degree (or equivalent practical experience) in Computer Science, Data Science, Machine Learning, or related field.
Hands-on experience building applied AI/ML or GenAI solutions (e.g., RAG, classification, extraction, ranking, summarization, copilots).
Familiarity with MCP (Model Context Protocol), Agent Skills and architectures that connect models to tools/data through standardized interfaces.
Familiarity with LLM application patterns: embeddings/vector search, prompt orchestration, tool calling/function calling, safety/guardrails, evaluation.
Strong software engineering experience delivering production systems; ability to design maintainable architectures and write clean, testable code.
Proficiency in Java and/or Python and experience building APIs/services and integrating with data sources and downstream systems.
Experience deploying solutions on AWS and cloud-native environments; understanding of security fundamentals and operational excellence.
Experience with modern engineering practices: CI/CD, code reviews, unit testing (e.g., pytest/JUnit), and deployment automation.
Experience with containers and orchestration (e.g., Docker, Kubernetes/EKS) and production monitoring practices.

Preferred Qualifications, Capabilities, And Skills

Experience building agentic AI systems (multi-step workflows, tool routing, planning, memory patterns, supervision/fallback strategies).
Experience with AWS Bedrock and/or SageMaker (or equivalent managed ML/GenAI platforms) and deployment patterns for scalable inference.
Experience with evaluation frameworks and approaches (golden datasets, LLM-as-judge, human-in-the-loop review, red teaming).
Experience fine-tuning models (e.g., LoRA/QLoRA/DoRA) and/or working with SLMs, embeddings, and retrieval systems.
Experience with developer productivity tooling such as GitHub Copilot and Claude Code, paired with strong SDLC controls.
Knowledge of the financial services industry and operating in regulated environments (auditability, controls, data handling).
Exposure to distributed compute/training concepts (e.g., DDP, sharding) and performance/cost optimization.

ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About The Team

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Stack

python
java
aws
mcp
docker
kubernetes
eks
sagemaker

Agentic infrastructure, engineering and tooling jobs