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5 jobs found

Today

AI Engineer – Software Development Tools

Hewlett Packard Enterprise San Juan, PR

San Juan, PR

Today

Full time Agentic Ai Ai Agent Ai Agent Platform

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Job Description

Hybrid role in San Juan, PR building AI-powered capabilities for developer workflows. You will design, develop, and deploy Generative AI solutions that aim to improve productivity, quality, and efficiency across software development. Work alongside software engineers, architects, DevOps teams, and engineering leadership to transform how teams code, test, debug, and ship.

What you will build

AI-powered code understanding and developer assistants
Intelligent code review and code-quality analysis
Automated unit-test and test-case generation
AI-based build and CI/CD failure diagnosis
Intelligent debugging and root-cause analysis
AI-powered software defect and issue analysis
Developer-facing RAG and knowledge assistants
Agentic automation for repetitive software engineering tasks
AI-driven engineering insights and productivity tools
Intelligent automation across the software development lifecycle

Responsibilities

Develop and integrate AI/GenAI capabilities into software development tools and workflows across coding, code understanding, code review, testing, debugging, build, CI/CD, and release processes
Build applications using LLMs, RAG, AI agents, tool calling, MCP, embeddings, and vector databases
Create AI assistants and automation that help engineers understand code, diagnose failures, generate tests, analyze defects, and resolve development issues
Integrate AI capabilities with existing engineering systems including APIs, source-code repositories, CI/CD pipelines, issue tracking, build systems, and developer environments
Design and implement agentic workflows that reason over engineering data and take actions via approved tools and APIs
Evaluate models, prompts, agents, and architectures for accuracy, latency, cost, reliability, and developer value
Implement AI quality evaluation mechanisms such as automated evaluation, human feedback, regression testing, and monitoring of AI-generated results
Partner with software development teams to identify pain points and translate them into practical AI-powered solutions
Build scalable, secure, and maintainable AI services for use by large engineering organizations
Instrument AI applications to measure adoption, productivity impact, quality improvements, and business value
Participate in design reviews, code reviews, architecture discussions, and engineering best-practice initiatives
Stay current with rapidly evolving AI technologies and identify opportunities to incorporate relevant advances into internal developer tooling

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI/ML, or a related technical field
2–6 years of software engineering or AI/ML engineering experience, including hands-on production-quality software development
Practical experience building applications using Generative AI and Large Language Models (LLMs)
Strong programming skills in Python and/or JavaScript/TypeScript, with solid software engineering fundamentals
Experience with LLM APIs, prompt engineering, structured outputs, embeddings, RAG, or agent-based applications
Experience developing and consuming REST APIs and microservices
Strong understanding of the software development lifecycle, including source control, CI/CD, testing, debugging, and engineering workflows
Familiarity with cloud platforms, containers, Kubernetes, or modern deployment practices
Ability to work effectively with developers and translate engineering problems into technical solutions
Strong analytical, problem-solving, and communication skills

Key technologies you’ll work with

Generative AI, LLMs, agents, RAG, intelligent automation
LLM APIs, prompt engineering, structured outputs, embeddings, vector databases
Tool calling, MCP, embeddings-based systems
REST APIs, microservices, CI/CD
Python, JavaScript/TypeScript
Cloud platforms, containers, Kubernetes
Source-code repositories, issue tracking, build systems

Benefits and support

Relocation support provided to eligible candidates
Health & Wellbeing benefits
Personal & Professional Development
Unconditional Inclusion

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you require accommodation during any stage of the application or interview process, submit your request using the secure form linked in their process. Note: this option is reserved for applicants needing assistance related to a disability.

How you’ll make an impact

Apply AI at scale to the daily workflows of software engineers. The goal is to reduce repetitive engineering work, accelerate development and debugging, improve software quality, and help developers spend more time on higher-value engineering activities.

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1d ago

Senior Data Engineer

Regal Cinemas, Inc Knoxville, TN

Knoxville, TN

1d ago

Full time Senior Apache Airflow Azure Data Factory

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Job Description

Regal Cinemas, Inc is hiring a Senior Data Engineer for hybrid work in Knoxville, TN.

Responsibilities

Design, develop, and maintain robust, scalable, efficient data pipelines
Build and maintain SQL-based transformation models in a version-controlled analytics engineering framework (e.g., dbt), including incremental processing strategies and macros
Architect and implement data models, including dimensional and aggregate models
Provision and maintain warehouse infrastructure such as databases, schemas, roles, and grants using infrastructure as code
Collaborate with enterprise business units to understand data requirements
Optimize data systems for performance, scalability, and cost-efficiency (including compute sizing and cost or credit budget monitoring)
Ensure data quality and integrity using automated testing, source-to-target reconciliation, freshness monitoring, and documentation
Implement and maintain CI/CD pipelines for data workflows
Implement and maintain data governance and security controls, including role-based access, column-level data masking, and support for privacy/compliance requests
Migrate and modernize legacy data and reporting systems to current platform capabilities
Mentor junior engineers, review peers’ code, and support team knowledge sharing and best practices
Create comprehensive documentation for existing and planned data processes

Requirements

Bachelor’s degree or above in Computer Science, Information Systems, or a related science field (or equivalent practical experience)
5+ years of experience as a Data Architect, Data Engineer, Analytics Engineer, or similar role
Strong SQL skills integrating relational sources across on-premises and cloud-hosted systems (e.g., SQL Server, MySQL/Amazon RDS)
Hands-on experience with a cloud data warehouse platform (e.g., Snowflake)
Experience ingesting from non-relational sources: REST APIs, cloud analytics exports (e.g., BigQuery/GA4), and vendor file feeds (e.g., SFTP, fixed-width/CSV)
Proficiency with data modeling, ETL/ELT, and data warehousing solutions
Experience with a general-purpose programming language and testing/code-quality practices (e.g., Python)
Experience with a SQL transformation/analytics engineering framework (e.g., dbt)
Experience with Python-based ingestion frameworks or managed connectors (e.g., dlt, Fivetran, Airbyte)
Hands-on experience with cloud platforms (e.g., Azure: Blob/ADLS, Data Factory, Key Vault, Entra)
Hands-on experience with orchestration tools (e.g., Airflow, Prefect)
Hands-on experience with infrastructure as code tools (e.g., Terraform)
Experience with version control and CI/CD (e.g., GitHub Actions, Bitbucket Pipelines)
Implementation experience with data governance, security, and compliance standards (e.g., RBAC, column-level masking, PII handling)
Excellent analytical, problem-solving, and written communication skills, including documenting decisions and trade-offs for technical and non-technical audiences
Ability to work cross-functionally with technical and non-technical teams

Technology Stack

SQL, dbt, dbt macros
Python, dlt, Fivetran, Airbyte
Snowflake, SQL Server, MySQL, Amazon RDS
REST APIs, BigQuery, GA4, SFTP, CSV
Azure, Blob/ADLS, Data Factory, Key Vault, Entra
Airflow, Prefect, Terraform
GitHub Actions, Bitbucket Pipelines

Benefits

Discretionary annual bonus
Free movie passes and discounted concessions at any Regal location
Paid vacation time and sick leave
Eligibility to participate in the 401(k) retirement plan with company match after age 21 and one month of service
Summer half-day Fridays during the summer season
Medical and prescription coverage, with company contributions toward the cost
Company-paid life insurance and disability insurance at no cost to employees
Dental, vision, and supplemental life insurance options available for employees and their dependents
Additional coverage options including accident, critical illness, and hospital indemnity insurance

Preferred Criteria

Experience with hybrid connectivity between cloud and on-premises networks (e.g., VPN/VNet, private endpoints, DNS forwarding)
Experience with CDP, reverse-ETL, or audience activation tooling (e.g., RudderStack, Braze, Google Ads Customer Match)
Experience with BI platform security models (e.g., Power BI row-level security, Sigma)
Familiarity with data catalog and lineage tooling (e.g., DataHub)
Experience migrating off legacy ETL/BI stacks (e.g., SSIS, SSAS, SQL Server Agent)

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1d ago

Data Engineer Sr

Oshkosh Corporation Oshkosh, WI

Oshkosh, WI

1d ago

$104k - $174k/yr Full time Application Security Automation Azure Data Engineer

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Job Description

Oshkosh Corporation’s Advanced Analytics team is seeking a Sr. Data Engineer in Oshkosh, WI (onsite) to build and scale data engineering capabilities for preventive maintenance and intelligent vehicle control.

Responsibilities

Design and develop scalable Change Data Capture (CDC) and ETL solutions to move data from source systems to analytics platforms (structured and unstructured; batch and streaming).
Implement data engineering using tools and platforms including Terraform, Spark, Databricks, Snowflake, and Git, with Azure infrastructure management.
Work with Azure services such as ADLS Gen2, Azure Compute, Azure Data Factory, AI Foundry, AKS, VPC’s, and Storage Accounts, plus other supporting components.
Support data governance activities, including quality and security across data lake and enterprise data warehouse systems across business segments.
Assist with performance tuning for data processes and troubleshoot data processing issues.
Coordinate and communicate across disciplines, departments, and segments.
Develop rapid prototyping and design processes to speed delivery to the business.
Maintain reference architecture and documentation for architectural governance and application roadmap purposes.
Assist with education on best practices for data work, including data modeling, database design, ETL design, and job scheduling and monitoring.
Assist or direct feasibility studies and help produce project estimates (manpower, budget development, and timelines) for proposed R&D projects.
Follow the supervisor/program manager guidance on a mutually agreed schedule with minimum mentoring.
Provide clear feedback on technical hurdles, progress, and priority alignment based on business needs.

Requirements

Bachelor’s degree in computer science, data science, or a related field, plus 4+ years working as a data engineer, ETL developer, and/or data warehouse DBA.
3-5 years experience in a Data Engineering or Analytics organization in a technical role.
2+ years software development experience (Python/Go preferred).
3+ years experience with a major cloud provider (AWS/Azure/GCP).
Strong proficiency with SQL, Bash, and Python, including experience with Anaconda.
2+ years operating in Unix/Linux and Windows server environments.
2+ years operating in an Agile / Scrum environment.
Experience with cloud-based data services and solutions, including Azure Synapse / Data Lake, AWS RedShift, Snowflake, and GCP Big Query.
Experience partnering with Analytics and Data Science teams to build production-grade GenAI/ML solutions.
Familiarity with CDC tools such as Qlik Replicate, Striim, and Debeezium.
Experience with big data tools and architectures including Cloudera Hadoop, HDFS, Hive, and Spark.
Working knowledge of telematics interfaces and streaming solutions such as MQTT, NiFi, and Kafka.
Automotive or heavy duty on/off-road vehicle experience, including digital data bus concepts such as Ethernet or Controller Area Network (CAN).
Highly organized and detail-oriented with strong critical thinking, analytical, and problem-solving skills.
Ability to manage multiple tasks in a fast-paced environment independently and as part of a team.
Excellent interpersonal skills and ability to present information and respond to questions from leadership and peers.

Technologies

Change Data Capture (CDC), ETL, Terraform, Spark, Databricks, Snowflake, Git
Azure infrastructure management: ADLS Gen2, Azure Compute, Azure Data Factory, AI Foundry, AKS, VPC’s, Storage Accounts
SQL, Bash, Python, Anaconda
AWS, Azure, GCP
Azure Synapse, Data Lake, AWS RedShift, GCP BigQuery
GenAI/ML
Qlik Replicate, Striim, Debeezium
Cloudera Hadoop, HDFS, Hive
MQTT, NiFi, Kafka
Ethernet, Controller Area Network (CAN)

Pay Range

$104,100.00 - $173,900.00 per year

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1d ago

Data Scientist

Guidehouse Inc. Arlington, VA

Arlington, VA

1d ago

Full time Analytics Application Security Artificial Intelligence

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Job Description

Guidehouse Inc. is seeking a Data Scientist to support Federal clients from an onsite location in Arlington, VA. In this role, you will use technical data science expertise to design and develop data science products and solutions, including work involving LLMs and AI/ML models in cloud environments.

What you will do

Apply strong technical skills and a mission-focused mindset to understand client needs, identify opportunities, and design solutions for Federal clients.
Use tools such as Python, SQL, LLMs, and platforms such as Databricks to develop data science products and solutions.
Communicate clearly with technical and non-technical audiences, including leadership, to translate technical findings.
Engage with clients to gather requirements, adapt solutions to mission needs, and drive initiatives forward.
Support internal initiatives and business development by contributing to RFP, RFQ, and RFI responses and white papers.

Required qualifications

ACTIVE and MAINTAINED “SECRET” Federal or DoD security clearance.
Bachelor’s degree.
Three (3) or more years of relevant professional experience.
Experience connecting data sources and wrangling data using Python.
Strong understanding of statistical and machine learning (ML) methods.
Experience utilizing Large Language Models (LLMs) and prompt engineering.
Experience developing and deploying AI/ML models using Python.
Familiarity with Databricks for conducting data science.
Experience performing data science in a cloud environment such as Azure or AWS.
Ability to support remote, hybrid, or on-site projects in the Washington D.C. metro area.

Tools and technologies

Python, SQL, LLMs, Databricks, Azure, AWS
Power BI, Tableau, Power Automate, Docker
ETL/ELT, RAG, Natural Language Processing

Nice to have

Six (6) years of relevant professional experience.
Ability to learn new software tools.
Ability to work independently and proactively identify opportunities to add value to the client, and drive initiatives and innovation.
Ability to clearly communicate and present technical solutions, insights, and results to technical and non-technical audiences, including leadership.
Experience working in Databricks.
Proficiency in querying and wrangling data using SQL.
Experience with Natural Language Processing.
Experience with RAG methods and development.
Experience containerizing AI/ML models, such as with Docker.
Experience designing and developing ETL/ELT data pipelines.
Experience developing data visualizations and dashboards using Power BI or Tableau.
Experience developing solutions involving APIs.
Experience automating processes using Power Automate.
Experience supporting Department of State or other Federal Government organizations.

Benefits

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend

Additional information

Location: Arlington, VA (onsite)
Travel required: None
Clearance required: Active Secret

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects its commitment to creating a diverse and supportive workplace.

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1d ago

Senior Machine Learning Engineer

Adobe San Jose, CA

San Jose, CA

1d ago

$152k - $265k/yr Full time AI Application Security Artificial Intelligence

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Job Description

Build large-scale machine learning systems that power generative AI and content understanding for Adobe’s Search, Discovery & Content AI (SDC) team. This onsite role in San Jose, CA blends end-to-end engineering with GPU-optimized modeling and platform development, working alongside architects, product management, and engineering teams to deliver capabilities used by millions of users.

Compensation: U.S. pay range $151,800 - $265,350 annually. In California, the pay range is $183,300 - $265,350 annually. Non-sales roles use base salary plus short-term incentives via the Annual Incentive Plan (AIP). Certain roles may also be eligible for long-term incentives through a new hire equity award.

Responsibilities

Define and develop end-to-end machine learning systems using innovative architectures
Develop and implement scalable, GPU-optimized modeling algorithms that handle large-scale data in production
Build and maintain high-performance, scalable, and maintainable platform features across the complete ML pipeline
Partner with architects, product management, and engineering teams to translate product requirements into technical solutions
Design and develop runtimes and libraries for emerging ML technologies to stay at the forefront of the field
Contribute to creation of requirements and design documents for features across the technology stack

Requirements

PhD or master’s degree in computer engineering, Computer Science, Computer Vision, Robotics, or a related field, or equivalent experience
Deep understanding of generative AI, deep learning, computer vision, and recommendation systems, with a proven track record applying these methods to solve complex problems
Proficiency with ML frameworks and tools including Scikit-learn, Hugging Face, PyTorch, and PyTorch Lightning
Expertise with cloud technologies, Docker, and containerization
Experience with AWS, Microsoft Azure, or equivalent cloud platforms
Proficiency in one or more programming languages: Python, C++, Java, Rust
Exceptional analytical and quantitative problem-solving skills
Excellent communication and relationship-building skills
Demonstrated ability to thrive in a collaborative team environment

Technology Focus

Scikit-learn, Hugging Face, PyTorch, PyTorch Lightning
Docker, AWS, Microsoft Azure
Python, C++, Java, Rust

Interview AI Use Policy

The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward.

State-Specific Notices

California: Fair Chance Ordinances. Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado: Application Window Notice. If this role is open to hiring in Colorado, the application window remains open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations.
Massachusetts: Massachusetts Legal Notice. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.

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