Agentic Ai Systems

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Today

Lead Machine Learning Engineer

Capital One McLean, VA

McLean, VA

Today

$197k - $225k/yr Full time Manager Agentic Ai Systems AI

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Job Description

Lead the delivery of AI enablement for Finance, building and governing ML systems and end user AI capabilities.

Responsibilities

Partner with engineers, data scientists, product managers, and designers to deliver AI-powered products that support associate workflows and customer value
Design, develop, test, deploy, and support AI software components using machine learning, including:
- Model evaluation and experimentation
- Large language model inference
- Similarity search
- Guardrails
- Governance and risk-aligned controls
- Observability
- Agentic AI
Fine-tune, develop, and evaluate machine learning and foundation models
Collaborate on a cross-functional Agile team to create and improve software using state-of-the-art AI and ML capabilities
Contribute technical vision and thought leadership to guide the long-term roadmap for pioneering AI systems
Use a broad stack of open source and SaaS AI technologies
Apply expertise in ML modeling techniques and related issues to inform ML infrastructure decisions
Retrain, maintain, and monitor models in production
Build optimized data pipelines to support ML model training and performance
Manage code to reduce vulnerabilities, ensure model governance from a risk perspective, and follow best practices for Responsible and Explainable AI

Requirements

Bachelor’s Degree
At least 6 years of experience designing and building data-intensive solutions using distributed computing (internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 2 years of experience building, scaling, and optimizing ML systems

Preferred Qualifications

Master’s or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field
7+ years of experience designing, developing, delivering, and supporting AI services at scale
3+ years of experience building production-ready data pipelines that feed ML models
3+ years of on-the-job experience with an industry-recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
3+ years of experience developing AI/ML algorithms or technologies using Python
2+ years of experience with Retrieval Augmented Generation (RAG)
2+ years of experience with data gathering and preparation for ML models
2+ years of people leader experience
1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating performance
Experience leveraging interactive AI tooling to accelerate productivity beyond basic code completion
Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, or Azure

Technology Stack

Python
Scala
Java
scikit-learn
PyTorch
Dask
Spark
TensorFlow
Retrieval Augmented Generation (RAG)
AWS Bedrock
Google Cloud
Azure

Benefits

Eligible for performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being

Location

McLean, VA 22101 (onsite)

Salary

USD 197,300 - 225,100 per year
Cambridge, MA: $197,300 - $225,100
McLean, VA: $197,300 - $225,100
New York, NY: $215,200 - $245,600

Candidates hired in other locations will be subject to the pay range for that location, and the annualized salary offered will be reflected in the candidate’s offer letter.

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Today

Agentic AI Engineer

RTX Corporate Arlington, VA

Arlington, VA

Today

$96k - $182k/yr Full time Agentic Ai Systems Ai Engineering Artificial Intelligence

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Job Description

RTX Corporate, via RTX BBN Technologies, is hiring an Agentic AI Engineer to design, develop, and deploy agentic AI systems. This hybrid role is based in Arlington, VA and focuses on turning agentic AI research into working prototypes and production-ready capabilities, with experimental evaluation and technical publication support.

The position requires U.S. citizenship and the ability to obtain and maintain a U.S. government issued security clearance. The role centers on building Python frameworks, collaborating across research and engineering, and documenting results through high-quality technical writing.

Responsibilities

Design, develop, and deploy agentic AI systems for autonomous reasoning, planning, and multi-step task execution.
Build and optimize Python-based frameworks and tools to support scalable agent architectures.
Integrate cutting-edge research into practical applications through rapid prototyping of new agentic capabilities.
Collaborate with research scientists and engineers to design experiments, evaluate system performance, and produce technical documentation.
Lead or contribute to peer-reviewed publications, white papers, and internal research briefs.
Partner with product and engineering teams to translate research insights into real-world impact.

Requirements

Python experience, including building production-quality systems.
Experience developing agentic or autonomous AI systems.
Experience with the latest research in agentic AI, LLM architectures, planning algorithms, or autonomous reasoning.
Experience designing and running experimental evaluations for AI models or agents.
Technical writing skills, including experience authoring research papers, preprints, or detailed technical reports.
Ability to work collaboratively with cross-functional research and engineering teams.
U.S. citizenship is required to be eligible for a security clearance; ability to obtain and maintain the clearance is required.

Technologies

Python

What You Will Learn

Advanced techniques in agentic AI, including tool-use, planning algorithms, multi-agent coordination, and memory architectures.
How to translate emerging research into production-ready systems at scale.
Best practices for evaluating autonomous AI behaviors while supporting safety, reliability, and alignment.
Collaboration workflows across research, engineering, and product teams.
Exposure to a broad range of generative AI, reinforcement learning, and orchestration frameworks.

Qualifications We Prefer

Graduate degree in computer science, machine learning, artificial intelligence, or a related field.
Experience with reinforcement learning, multi-agent systems, or cognitive architectures.
Contributions to open-source AI frameworks or agentic toolkits.
Familiarity with cloud-native development, distributed compute, or containerized workflows.
A track record of published research in top AI/ML conferences or journals.

Benefits

100% paid tuition program
Generous 401k company match
Retirement Contribution
Performance-based incentive plans
Onsite gym and game room
Paid parental leave
Paid time off
Employee discounts
Medical, dental, vision, life insurance
Short-term disability
Long-term disability
Flexible spending accounts
Flexible work schedules
Employee assistance program
Employee Scholar Program
Parental leave
Holidays

Compensation: USD 95,500 - 181,700 per year.

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Agentic Ai Systems Data Jobs

Lead Machine Learning Engineer

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