Lead Ai Engineer

Lead Ai Engineer Jobs

3 jobs found

1d ago

Lead AI Engineer – Agentic Test Automation

Alchemy Tysons, VA

Tysons, VA

1d ago

$70+/hr Full time Agentic Ai Agentic Ai Orchestration Ai Agent

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Job Description

Lead AI Engineer role focused on agentic test automation using LLM-powered agents in a hybrid setup in Tysons, VA.

Responsibilities

Build and operate tool-using, multi-step LLM-powered agents with guardrails
Design agent workflows for test generation and augmentation
Design agent workflows for requirements review and completeness validation
Design agent workflows for report generation and summarization
Use GitHub Copilot in day-to-day development
Implement CI/CD and automation using GitHub Actions (CI/CD pipelines, reusable workflows, composite actions)
Support quality gates and governance via PR checks, branch protections, CODEOWNERS, and templates
Automate processes via GitHub APIs and webhooks as needed
Develop API and integration automation with Karate including API testing, contract-like checks, data-driven testing, and mocks
Develop UI automation with Playwright including selectors strategy, parallelization, and trace/video artifacts
Aggregate and normalize outcomes across multiple microservices and multiple pipelines
Produce actionable automated reports including trend analysis, failure clustering, and service correlation

Requirements

Hands-on experience building LLM-powered agents (tool-using, multi-step reasoning, guardrails)
Experience with prompting patterns, structured outputs using JSON schemas, evaluation, and techniques to reduce hallucinations
Ability to design agent workflows for:
- Test generation and augmentation
- Requirements review and completeness validation
- Report generation and summarization
GitHub Copilot proficiency
Deep experience with GitHub Actions (CI/CD pipelines, reusable workflows, composite actions)
Deep experience with GitHub platform capabilities including PR checks, branch protections, CODEOWNERS, and templates
Automation via GitHub APIs and webhooks as needed
Advanced experience with Karate: API testing, contract-like checks, data-driven testing, mocks
Advanced experience with Playwright: UI automation, selectors strategy, parallelization, trace/video artifacts
Strong understanding of test design and coverage including:
- Happy path scenarios
- Negative/validation scenarios
- Edge/boundary scenarios
- Data setup/teardown strategies and test isolation
Proven ability to aggregate and normalize results from multiple microservices and multiple pipelines
Experience producing actionable automated reports (trend analysis, failure clustering, service correlation)

Technologies

LLM-powered agents
JSON schemas
GitHub Copilot
GitHub Actions
GitHub APIs
GitHub webhooks
Karate
Playwright

Pay

From $70.00 per hour

Experience

Generative AI and LLM-powered agents: 5 years (Required)
Test Automation Engineering: 7 years (Required)

Work Location

Hybrid remote in Tysons, VA 22182

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1d ago

Ansible AI Engineer Lead

EAPPS TECH LLC dba Magicforce Chicago, IL

Chicago, IL

1d ago

$60 - $80/hr Contract Ai Automation Ai Engineer Ansible Automation

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Job Description

An EAPPS TECH LLC dba Magicforce contract opportunity is available in Chicago, IL (Day 1 onsite) for an Ansible AI Engineer Lead. This role centers on building automation using Red Hat Ansible Automation Platform (AAP) 2.x, with additional focus on AI-assisted development for infrastructure workflows, provisioning, and operational execution. You will also contribute to integrations that connect automation to IT service management and delivery pipelines.

What You’ll Do

Develop Ansible Playbooks, including Roles, Collections, and Workflow Templates
Build configuration management and configuration as code solutions for infrastructure automation
Implement infrastructure lifecycle automation covering server build and provisioning automation
Address configuration drift remediation and manage OS and middleware configuration management
Automate patch and compliance activities and support operational task automation
Create self-service automation workflows for scalable automation delivery
Operate automation through a Git / GitHub based automation lifecycle
Use Python scripting alongside YAML / Jinja2 and integrate with external systems using REST APIs
Administer Automation Controller and Automation Hub
Implement Event-Driven Ansible capabilities
Support AI-assisted automation development including:
- Claude Code for AI-assisted code generation and refactoring
- Prompt engineering for infrastructure automation
- AI-assisted debugging and troubleshooting
- AI-assisted playbook development and optimization
- AI-assisted documentation generation
Integrate automation with:
- ServiceNow and ITSM workflows
- API-based orchestration
- CI/CD and GitOps practices

Skills and Requirements

Experience with Red Hat Ansible Automation Platform (AAP) 2.x
Proficiency in Ansible Playbook development and building Ansible Roles, Collections and Workflow Templates
Strong foundation in configuration management and configuration as code
Hands-on infrastructure automation experience
Working knowledge of a Git / GitHub based automation lifecycle
Scripting and templating skills including Python, YAML, and Jinja2
Experience with REST API integration and Automation Controller / Automation Hub administration
Background with Event-Driven Ansible
Ability to apply AI-assisted automation development workflows using Claude Code, including prompt engineering, AI-assisted debugging, playbook optimization, and documentation generation
Integration experience with ServiceNow, ITSM workflow integration, API-based orchestration, CI/CD integration, and GitOps practices

Location, Type, and Duration

Location: Chicago, IL (onsite)
Job type: contract
Duration: 12+ months
Rate: USD 60 - 80 per hourly

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7d ago

Senior Lead AI Engineer

Capital One McLean, VA

McLean, VA

7d ago

$230k - $262k/yr Full time Senior Ai Engineer Artificial Intelligence

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Job Description

Capital One is hiring a Senior Lead AI Engineer (Intelligent Foundations and Experiences team) to build and deploy responsible, scalable AI systems and LLM-enabled products.

Responsibilities

Collaborate with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products for associate workflows and customer experiences
Design, develop, test, deploy, and support AI software components across foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
Use a broad stack of Open Source and SaaS AI technologies including AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and related tooling
Develop state-of-the-art LLM optimization techniques to improve production performance, including scalability, cost, latency, and throughput
Help shape technical vision and contribute to the long term roadmap for foundational AI systems at Capital One

Requirements

Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master’s degree plus at least 4 years of experience developing AI and ML algorithms or technologies
At least 6 years of experience programming with Python, Go, Scala, or Java

Technologies

AWS Ultraclusters
Huggingface
VectorDBs
Nemo Guardrails
PyTorch
Python, Go, Scala, Java
C++, C#, Golang
AWS, Google Cloud, Azure

Team

The Intelligent Foundations and Experiences (IFX) team brings Capital One’s AI vision to life
Partners across the company to advance the state of the art in science and AI engineering
Builds and deploys proprietary solutions that support business needs and deliver value to millions of customers
Enables teams across Capital One to enhance products with responsible and scalable AI at high leverage

Benefits

Comprehensive, competitive, and inclusive health, financial, and other benefits that support total well-being

Preferred Qualifications

7 years of experience deploying scalable and responsible AI solutions on cloud platforms (AWS, Google Cloud, Azure, or equivalent private cloud)
Experience designing, developing, integrating, delivering, and supporting complex AI systems
Demonstrated ability to lead and mentor engineering teams and influence cross-functional stakeholders
Experience developing AI/ML algorithms or technologies (LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
Experience developing and applying state-of-the-art optimization techniques for training and inference software to improve hardware utilization, latency, throughput, and cost
Strong interest in staying current with AI research and applying novel techniques responsibly in production
Excellent communication and presentation skills to explain complex AI concepts to peers

Compensation

McLean, VA (onsite): USD 229,900 - 262,400 per year
Eligible for performance-based incentive compensation, which may include cash bonuses and/or long term incentives (LTI)

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Lead Ai Engineer Jobs

Lead AI Engineer – Agentic Test Automation

Ansible AI Engineer Lead

Senior Lead AI Engineer

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