Enterprise Automation & AI Engineer Job at American Food & Vending (New York)

Principal Ai Engineer - Enterprise Ai Solutions

Our Mission: At Palo Alto Networks®, we’re united by a shared mission—to protect...

Location

United States , Santa Clara

Salary:

185200.00 - 299475.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

Bachelor's degree in a related field or equivalent military experience required
12+ years of related experience, or a Master's degree with 8 years of experience, or a PhD with 5 years of experience
Proven expertise in designing and building complex, enterprise-grade AI/ML platforms and applications
Direct hands-on experience with Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI systems
Strong programming skills in languages such as Python, Java, or Go and proficiency in modern AI/ML frameworks (e.g., TensorFlow, PyTorch)
Extensive hands-on experience with distributed systems architecture, streaming data platforms, and cloud AI/ML platforms (e.g., GCP Vertex AI, AWS SageMaker)

Job Responsibility

Lead the applied AI solution design and architecture, breaking down ambiguous business problems into concrete, actionable AI solution designs
Drive the hands-on development and implementation of key AI components, supporting both traditional and Generative AI model development and deployment
Contribute significantly to the detailed design of large-scale, distributed AI/ML systems, ensuring performance, reliability, and security
Proactively collaborate with executive leadership, data science, engineering, and product stakeholders to translate business use-cases into scalable AI solutions
Provide technical leadership and mentorship to other AI/ML engineers, fostering a culture of engineering excellence and hands-on experimentation
Lead the implementation and continuous improvement of MLOps pipelines, including automated model training, versioning, deployment, and monitoring
Champion and enforce design standards, patterns, and best practices for scalable and secure development of AI applications across various teams
Actively research and evaluate cutting-edge AI/ML techniques, algorithms, and models to identify opportunities for platform enhancement and new solution development

What we offer

Restricted stock units
Bonus

Fulltime

Staff/Sr. Staff Ai Engineer - Enterprise Ai Solutions

As a Staff/Sr. Staff AI Engineer for Enterprise AI Solutions, you will be a crit...

Location

United States , Santa Clara

Salary:

157200.00 - 254100.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

8+ years in software engineering, with 5+ years in Data science/AI/ML experience
Experience deploying enterprise AI/ML systems
Understanding of the AI lifecycle
Experience with distributed systems and streaming data
Hands-on experience with Generative AI and LLMs
Proficiency in AI/ML frameworks and cloud platforms
Strong programming skills (Python and C++)
Excellent communication skills
Masters/Bachelors degree in Computer Science or related field

Job Responsibility

Lead the design and implementation of AI solutions, translating business problems into AI designs, and managing model selection, data requirements, and integration for AI applications
Develop and implement core components of the enterprise AI/ML platform, ensuring scalability and security
Contribute to the lifecycle of traditional and Generative AI model deployment and real-time inference systems
Design and optimize large-scale AI/ML systems for performance, reliability, and developer-friendliness, focusing on low latency and high throughput in real-time AI applications
Evaluate and integrate new AI tools, frameworks, and cloud solutions, aligning with architectural guidelines
Lead POCs for emerging AI innovations
Champion design standards and best practices for AI systems, guiding junior engineers
Mentor AI/ML engineers, lead design discussions, and perform code reviews, fostering engineering excellence
Partner with Data Scientists, ML Engineers, Product Managers, and IT stakeholders to develop production-grade AI solutions
Ensure AI systems comply with responsible AI principles and security policies

What we offer

Restricted stock units
Bonus

Fulltime

Ai & Automation Engineer

Robert Half is seeking an AI & Automation Engineer to support enterprise automat...

Location

United States , Charlotte

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Experience designing and implementing automation solutions within enterprise environments
Strong business analysis and requirements gathering experience
Ability to translate complex business processes into automated workflows
Experience with workflow automation, RPA, low-code/no-code platforms, or AI-driven automation tools
Strong understanding of process improvement methodologies, reporting, and data management
Excellent communication and stakeholder management skills

Job Responsibility

Partner with business, operations, and product stakeholders to identify automation opportunities and process improvements
Gather, document, and analyze business requirements for automation initiatives
Design, develop, and implement workflow automation solutions using approved automation and low-code platforms
Automate reporting, data synchronization, operational workflows, and other business processes
Create and maintain bots, workflows, and automated business solutions
Support testing, deployment, governance, and ongoing optimization of automation initiatives
Leverage AI technologies to improve decision-making, efficiency, and scalability
Collaborate with cross-functional teams to prioritize and deliver high-value automation projects
Monitor and enhance existing automation solutions to maximize performance and business impact

What we offer

Medical
Vision
Dental
Life and disability insurance
401(k) plan

Sr Engineer, Enterprise AI

The Senior Engineer, Enterprise AI helps design, build, and scale AI-powered app...

Location

United States , Bellevue; Frisco

Salary:

133100.00 - 240100.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

4–7 years of experience in software engineering, AI/ML engineering, platform engineering, or enterprise application development
Experience building and deploying scalable software applications or platforms in enterprise environments
Experience developing AI-enabled applications, intelligent automation workflows, or LLM-powered solutions using modern AI frameworks and tools
Experience designing or integrating distributed systems, APIs, enterprise platforms, or cloud-native applications
Experience collaborating cross-functionally with engineering, product, architecture, and business teams to deliver production solutions
Bachelor's Degree Bachelor’s degree plus 3 years of related work experience OR advanced degree with 1 year of related work experience OR combination of education and experience deemed equivalent
At least 18 years of age
Legally authorized to work in the United States

Job Responsibility

Design, develop, deploy, and support enterprise AI applications, autonomous agents, and intelligent workflow solutions that improve employee productivity and operational efficiency
Build and optimize Retrieval-Augmented Generation (RAG) pipelines, semantic search capabilities, and AI orchestration workflows integrated with enterprise platforms and data sources
Develop scalable integrations and AI-enabled services connecting systems such as Salesforce, ServiceNow, Snowflake, Databricks, GitLab, Atlassian, and other enterprise platforms
Partner with engineering, product, architecture, and business stakeholders to deliver secure, reliable, and scalable AI-driven solutions in production environments
Apply strong software engineering principles across system design, coding, CI/CD, observability, testing, troubleshooting, and operational support
Utilize modern AI development tools and coding assistants to rapidly prototype, iterate, and improve AI-enabled applications and workflows
Contribute to AI governance, security, reliability, and compliance standards for enterprise AI deployments
Evaluate emerging AI technologies, frameworks, and methodologies to continuously improve platform capabilities and engineering effectiveness
Participate in architectural discussions, technical reviews, and engineering best practices to help raise the overall technical maturity of the team
Support a highly iterative development environment where rapid experimentation, continuous learning, and fast adaptation are critical to success

What we offer

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Free year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Paid time off
Up to 12 paid holidays
Paid parental and family leave

Fulltime

Senior Enterprise Automation Engineer - Logistics Development

THE ROLE & THE TEAM The Logistics Development team is responsible for driving sp...

Location

Germany , Berlin

Salary:

Not provided

Zalando Lounge

Expiration Date

Until further notice

Requirements

Deep, hands-on expertise in developing and architecting workflow automations using enterprise platforms like UiPath Suite and n8n
Practical, demonstrated experience in prompt engineering and safely integrating Large Language Models (LLMs) into live business operations
Solid foundation in basic programming (e.g., Python, JavaScript) enabling you to write custom logic within automation frameworks
Intelligent Document Processing (IDP): Hands-on experience with OCR and AI tools to extract structured data from unstructured logistics documents (e.g., invoices, customs forms)
Process Discovery: Proficiency in Process Mining (e.g., Celonis) or Task Mining to scientifically identify and prioritize automation opportunities
Resilience & Error Handling: Proven ability to build 'self-healing' workflows and exception-handling frameworks
Strong capability in designing, managing, and troubleshooting APIs to create data bridges across diverse internal systems
Master communicator and stakeholder manager, easily translating complex operational friction from business experts into actionable technical requirements
Passionate about process optimization and thrive in an agile environment focused on iterative and rapid delivery

Job Responsibility

Build intelligent workflows: Design, deploy, and scale robust automations using enterprise orchestration platforms (e.g., UiPath Suite, n8n) to eliminate high-volume manual data entry
Integrate Cognitive AI: Leverage advanced prompt engineering to successfully embed Large Language Models (LLMs) into daily business processes to handle unstructured data
Establish the standard: Define and enforce baseline development guidelines, ensuring our decentralized bots are auditable, secure, and deployable across the European network
Bridge the data gap: Design and manage API connections that seamlessly link legacy enterprise systems (like SAP) with modern AI orchestration tools
Drive supervised autonomy: Develop 'Human-in-the-Loop' (HITL) workflows that safely manage operational edge-cases, ensuring business stakeholders trust and adopt the automated systems
Execute with agility: Collaborate closely with central Tech teams and operational Subject Matter Experts to rapidly discover, build, and push solutions to production within fast-paced sprints

What we offer

27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)
2 paid volunteering days a year
Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration
Work from abroad for up to 30 working days a year
Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
Relocation assistance available (subject to prior agreement)
Family services, including counseling and support
Health and wellbeing options (including Wellhub, formerly Gympass)
Mental health support and coaching available

Fulltime

Senior Enterprise Automation Engineer - Logistics Development

The Logistics Development team is responsible for driving speed, efficiency, and...

Location

Germany , Berlin

Salary:

Not provided

Zalando Sverige

Expiration Date

Until further notice

Requirements

Deep, hands-on expertise in developing and architecting workflow automations using enterprise platforms like UiPath Suite and n8n
Practical, demonstrated experience in prompt engineering and safely integrating Large Language Models (LLMs) into live business operations
Solid foundation in basic programming (e.g., Python, JavaScript)
Intelligent Document Processing (IDP): Hands-on experience with OCR and AI tools to extract structured data from unstructured logistics documents (e.g., invoices, customs forms)
Process Discovery: Proficiency in Process Mining (e.g., Celonis) or Task Mining to scientifically identify and prioritize automation opportunities
Resilience & Error Handling: Proven ability to build self-healing workflows and exception-handling frameworks
Strong capability in designing, managing, and troubleshooting APIs to create data bridges across diverse internal systems
Master communicator and stakeholder manager, easily translating complex operational friction from business experts into actionable technical requirements
Passionate about process optimization and thrive in an agile environment focused on iterative and rapid delivery

Job Responsibility

Build intelligent workflows: Design, deploy, and scale robust automations using enterprise orchestration platforms (e.g., UiPath Suite, n8n) to eliminate high-volume manual data entry
Integrate Cognitive AI: Leverage advanced prompt engineering to successfully embed Large Language Models (LLMs) into daily business processes to handle unstructured data
Establish the standard: Define and enforce baseline development guidelines, ensuring our decentralized bots are auditable, secure, and deployable across the European network
Bridge the data gap: Design and manage API connections that seamlessly link legacy enterprise systems (like SAP) with modern AI orchestration tools
Drive supervised autonomy: Develop Human-in-the-Loop (HITL) workflows that safely manage operational edge-cases, ensuring business stakeholders trust and adopt the automated systems
Execute with agility: Collaborate closely with central Tech teams and operational Subject Matter Experts to rapidly discover, build, and push solutions to production within fast-paced sprints

What we offer

27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)
2 paid volunteering days a year
Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration
Work from abroad for up to 30 working days a year
Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
Relocation assistance available (subject to prior agreement)
Family services, including counseling and support
Health and wellbeing options (including Wellhub, formerly Gympass)
Mental health support and coaching available

Fulltime

Senior Software Automation Engineer (AI & IT Systems)

The purpose of this role is to replace manual, process heavy workflows with scal...

Location

Mexico

Salary:

Not provided

Appen

Expiration Date

Until further notice

Requirements

6 plus years of experience in software engineering, automation, platform engineering, or related roles
Strong foundation in software engineering principles including code quality, testing, and maintainability
Proficiency in Python, JavaScript, Go, or similar languages used for automation and internal tooling
Hands on experience building and operating production systems or internal tools
Demonstrated experience applying AI or LLM based solutions in real world production environments
Background in SRE, DevOps, Platform Engineering, or IT automation with experience operating systems at scale
Experience using AI assisted development tools such as Cursor, GitHub Copilot, Claude Code, or similar tools
Solid understanding of IT systems, enterprise environments, and service management processes
Experience participating in on call rotations and supporting production or internal applications
Strong communication skills with the ability to influence teams across different technical backgrounds

Job Responsibility

Design software-based automation and AI driven systems that improve efficiency, reliability, and scalability of IT and internal platforms
Build internal tools, services, and integrations using APIs, event driven systems, and CI/CD practices
Automate operational workflows using AI and LLM technologies to support decision making and incident analysis
Improve system reliability by turning incident trends and operational pain points into durable automation
Reduce recurring production and internal application issues through structured engineering solutions
Strengthen engineering standards across IT automation through version control, testing, documentation, and observability
Influence teams to adopt software engineering approaches instead of manual or ticket-based models
Maintain internal applications through participation in a business hour on call rotation and use operational insights to drive continuous improvement
Deliver solutions that meet governance, privacy, and reliability standards in collaboration with Security, Compliance, Platform, and Business Systems teams

Fulltime

Staff Infrastructure Software Engineer, Enterprise AI

Scale GP is building the next generation of enterprise-grade Generative AI produ...

Location

United States , New York; San Francisco

Salary:

216200.00 - 270250.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

Proven experience in a senior role
5+ years of full-time software engineering experience
Deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms (e.g., Datadog, Prometheus, Grafana)
Extensive experience with at least one major cloud provider (AWS, Azure, or GCP)
Strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer-specific VPC setups
Proficiency in Python or JavaScript/TypeScript, and SQL

Job Responsibility

Define the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers
Lead the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies
Own the development and maintenance of our best-in-class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response
Drive developer efficiency by building automated tooling and championing Infrastructure-as-Code (IaC) paradigms throughout the engineering organization
Solve the toughest engineering problems related to multi-tenancy, data isolation, and high-performance inference at a massive scale, taking end-to-end ownership across the full product lifecycle

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity based compensation
additional benefits such as a commuter stipend

Fulltime

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Enterprise Automation & AI Engineer

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