Enterprise Ai

Enterprise Ai Data Jobs

3 jobs found

Today

Lead Machine Learning Engineer

Capital One McLean, VA

McLean, VA

Today

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

Apply Now

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.

View full job page →

Today

Applied AI Engineer

Appian Corporation McLean, VA

McLean, VA

Today

$100k - $225k/yr Full time Ai Automation Ai Workflows Appian

Apply Now

Job Description

Appian’s AI-first transformation is backed by a team building production-grade applied AI for internal use. In this onsite role in McLean, VA, you’ll design and deliver AI prompts, workflows, and evaluation practices that help teams move from prototypes to reliable, deployable solutions. You’ll also partner across IT and Information Security to ensure the tools meet data-handling and protocol requirements, while staying current with what’s next in the Gemini and Kiro ecosystems.

Compensation: USD 100,000 - 225,000 per year. Experience: 3+ years. Work arrangement: This role is based at our headquarters in McLean, Virginia, with an expectation to be in the office 5 days a week.

What you’ll do

Design, build, and maintain production-quality prompts, Gemini Gems, NotebookLMs, and Appian AI workflows for internal, production-grade use.
Turn manual work into AI-assisted steps, delivering solutions end-to-end from development through deployment with non-technical customers in mind.
Create an evaluation framework to support reliability and compare model performance for business tasks.
Own and manage an internal repository for employee self-service prompts, including versioning, organization, and ensuring shipped tools are documented and discoverable.
Act as a resident expert on the Google Gemini ecosystem, Amazon Kiro, and emerging AI technology trends for the organization.
Collaborate with IT and Information Security by red-teaming tools and ensuring prompts follow required data-handling and protocol practices.

What you bring

3-5+ years of hands-on experience with modern LLMs and shipping AI agents in real-world applications, or equivalent experience in a high-growth SaaS or technology environment.
Subject-matter expertise in the Google Gemini ecosystem and Amazon Kiro, along with direct experience with prompting and building automation workflows.
Comfort with scripting to connect data sources and automate workflow components, plus strong technical aptitude for integrating different systems into AI solutions.
Exceptional communication skills, including the ability to explain technical concepts to less technical audiences.

Tools and technologies

Appian AI platform
Gemini
Kiro
LLMs
Gemini Gems, NotebookLMs
Appian AI workflows

Benefits

Health coverage
Employee Assistance Program (EAP) with free mental health support
Life and disability insurance
Employee Stock Purchase Program (ESPP)
Retirement/pension plan
Wellness dollars
Tuition reimbursement
Family-forming benefits

Training, growth, and culture

Onboarding includes department-specific training to support success from day one.
Continuous learning with dedicated mentorship and the First-Friend program.
Growth and development opportunities, including a leadership program for new and aspiring managers.
Appian University provides a comprehensive library of specialized department training.
Skills-based training and tuition reimbursement for education advancement.
Inclusivity supported through 8 employee-led affinity groups.

Reasonable accommodations: Appian provides reasonable accommodations to applicants in accordance with applicable laws. If you need a reasonable accommodation for any part of the employment process, contact ReasonableAccommodations@appian.com.

View full job page →

1d ago

12097 AI Engineer - Solutions & LLMOps

PSEG Newark, NJ

Newark, NJ

1d ago

$79k - $126k/yr Full time Agentic Ai Artificial Intelligence Azure Openai

Apply Now

Job Description

PSEG is expanding its enterprise AI capabilities with a dedicated AI Engineer focused on hands-on AI engineering and LLMOps. Based in Newark, NJ with a hybrid work arrangement, this role targets building scalable, secure, production-ready AI capabilities and advancing AI operationalization across the organization.

Responsibilities

Design and validate proof-of-concept solutions for enterprise AI and Generative AI use cases.
Construct AI agents, copilots, workflows, APIs, and AI-enabled applications using enterprise AI platforms and cloud services.
Experiment with emerging AI technologies and assess feasibility with business and technical teams.
Stay informed on evolving AI engineering, GenAI, and MLOps trends and best practices.
Develop reusable AI services and shared components.
Develop and integrate AI solutions across enterprise platforms and cloud services.
Support reusable AI frameworks, integration patterns, and engineering best practices.
Contribute to scalable AI platform architecture and deployment standards.
Deploy, monitor, maintain, and optimize AI solutions in production environments.
Support CI/CD, deployment automation, versioning, lifecycle management, and release processes.
Implement monitoring, logging, observability, and performance tracking for AI applications.
Collaborate with infrastructure and platform teams to improve reliability, scalability, and operational excellence.
Ensure AI solutions comply with governance, cybersecurity, privacy, and Responsible AI standards.
Support governance reviews, risk assessments, and implementation of operational controls.
Incorporate security, monitoring, and lifecycle management into AI solution delivery.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
2+ years of experience in software engineering, cloud engineering, AI/ML development, or platform engineering.
Experience developing cloud-based applications, APIs, or automation workflows.
Experience with scripting or programming languages such as Python.
Understanding of cloud platforms, APIs, and application integration concepts.
Strong analytical, problem-solving, and collaboration skills.
Compliance with the Department of Energy's regulation 10 CFR 810 is required.

Technologies

Python
Azure OpenAI
Azure AI Services
AWS Bedrock
Git
Azure DevOps
GitHub
Docker
Kubernetes
ServiceNow
SAP
Salesforce

Benefits

Medical insurance
Dental insurance
Vision insurance
Parental leave and family leave programs
Behavioral health programs
401(k) with company match
Life insurance
Tuition reimbursement
Generous paid time off

Compensation

Salary range: USD 79,400 - 125,600 per year.

Job Summary

At this time, only current PSEG employees are being considered. The AI Engineer role blends hands-on AI engineering with LLMOps to establish scalable, secure, production-ready AI capabilities across the enterprise. It encompasses evaluating, prototyping, designing, developing, deploying, supporting, and continuously improving AI solutions in a rapidly evolving tech landscape. The role emphasizes building AI-powered applications using enterprise AI platforms and cloud services while ensuring reliability, security, and operational efficiency throughout their lifecycle. Additional responsibilities include AI operationalization, deployment automation, monitoring, prompt and model lifecycle management, LLMOps practices, and ongoing maintenance of production AI solutions.

Desired

Experience with AI, Machine Learning, Generative AI, or intelligent automation technologies.
Familiarity with cloud AI platforms such as Azure OpenAI, Azure AI Services, AWS Bedrock, or similar.
Exposure to AI agents, copilots, Retrieval-Augmented Generation (RAG), or GenAI workflows.
Experience with DevOps, CI/CD, containerization, monitoring, LLMOps, and MLOps concepts.
Experience with Git, Azure DevOps, GitHub, Docker, Kubernetes, or similar tools.
Familiarity with enterprise platforms such as ServiceNow, SAP, or Salesforce.
Experience in regulated industries such as utilities, energy, financial services, or healthcare.

Markets

Newark
New York City

Job Segment

Test Engineer
Testing
Cloud
Software Engineer
Compliance
Engineering
Technology
Legal

View full job page →

Enterprise Ai Data Jobs

Lead Machine Learning Engineer

Applied AI Engineer

12097 AI Engineer - Solutions & LLMOps

Get Enterprise Ai Data Jobs alerts