1,000+ matching jobs for “Customer Support Engineer”

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Visa

Staff Software Engineer (AI Engineer)

Singapore, Singapore

Role Summary: We are seeking a Staff AI Engineer to help build next-generation cybersecurity AI products for enterprise security teams. This is a hands-on …

Added Oct 27, 2026

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Amentum Holdings

Boat Engineer

OCONUS-Diego Garcia +5 locations

Conduct research, testing, and evaluations to support the design, construction, and modification of marine vessels and equipment. Develop engineering designs, …

Added Nov 3, 2026

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Applied Materials

… Deliver technical knowledge, troubleshooting methodologies, and best practices to Applied Materials customer engineers worldwide to improve tool health, performance, and stability. Represent the voice of the field in …

Added Oct 27, 2026

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Applied Materials

GPS Engineer

Singapore, Singapore

Added Oct 27, 2026

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Sonoco Products

CTS Engineer

Nocera Inferiore, Campania, Italy

In person
Full time
Regular

The Customer Technical Services (CTS) Engineer provides technical support to customers and manufacturing plants in the …

Added Oct 27, 2026

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Booz Allen Hamilton

Range Engineer

Augusta, Georgia, United States

Pay posted by employer$77,500–$176,000

Range Engineer The Opportunity: The Cyber Range Engineer is responsible for designing, building, operating, and sustaining …

Added Oct 27, 2026

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Booz Allen Hamilton

Structural Engineer

Okinawa, Okinawa, Japan

Pay posted by employer$77,500–$176,000

Structural Engineer The Opportunity: As a Structural Engineer, you understand that relationship-building and keen attention to …

Added Oct 27, 2026

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RTX

Sr. Systems Engineer – RF Engineer

Aurora, Colorado, United States

… problems that create a safer, more secure world. We have an exciting opportunity for a Sr. Systems Engineer – RF Engineer supporting one of our premier programs at Raytheon, an RTX Business. The Apertures and RF …

Added Oct 27, 2026

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Analyst, Product Application and Customer Experience (Thai Speaker) SEA CBG Tier 2

Taguig, National Capital Region, Philippines

A PACE Level 2 analyst typically handles more complex customer issues that require deeper technical knowledge or problem-solving skills than Level 1 support. Below is a …

Added Nov 5, 2026

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Booz Allen Hamilton

Data Engineer

Arlington, Virginia, United States +1 location

Pay posted by employer$62,000–$141,000

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means …

Added Oct 27, 2026

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Booz Allen Hamilton

Data Engineer

Arlington, Virginia, United States +1 location

Pay posted by employer$62,000–$141,000

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means …

Added Oct 27, 2026

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Booz Allen Hamilton

Test Engineer

Albuquerque, New Mexico, United States 3 postings

Pay posted by employer$61,900–$141,000

Test Engineer The Opportunity: We’re looking for someone to directly assist the U.S. Air Force in testing for …

Added Oct 27, 2026

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Booz Allen Hamilton

Test Engineer

Albuquerque, New Mexico, United States

Pay posted by employer$61,900–$141,000

Test Engineer The Opportunity: Directly assist the U.S. Air Force in testing for certification of new or modified …

Added Oct 27, 2026

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Booz Allen Hamilton

Electrical Engineer

Kirtland AFB, NM

Pay posted by employer$61,900–$141,000

Electrical Engineer The Opportunity: As an electrical engineer, you understand the workings behind complex systems. That …

Added Oct 27, 2026

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Booz Allen Hamilton

Electrical Engineer

Okinawa, Okinawa, Japan

Pay posted by employer$61,900–$141,000

Electrical Engineer The Opportunity: As an Electrical Engineer, you understand that relationship-building and keen attention to …

Added Oct 31, 2026

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Baker Hughes

Senior Engineer

GB-AN-MONTROSE-CHARLETON ROAD +1 location

Full time

Senior Engineer Would you like to lead the development of cutting-edge, world class new products? Would creating innovative …

Added Oct 27, 2026

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KBR

Systems Engineer

Chantilly, Virginia, United States

Pay posted by employer$137,000–$188,000 USD per year

Title: Systems Engineer Belong. Connect. Grow. with KBR! KBR’s National Security Solutions team provides high-end engineering and …

Added Nov 3, 2026

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KLA

System Engineer

Singapore, Singapore

Full time
Regular

… performance and readiness. Lead system-level troubleshooting and root cause analysis for manufacturing, customer, and field escalations, using data-driven methodologies to identify issues and drive corrective actions …

Added Oct 15, 2026

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Booz Allen Hamilton

Data Engineer

Arlington, Virginia, United States

Pay posted by employer$48,000–$98,000

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means …

Added Oct 30, 2026

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Booz Allen Hamilton

Data Engineer

Arlington, Virginia, United States +1 location

Pay posted by employer$62,000–$141,000

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means …

Added Oct 27, 2026

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Visa

Staff Software Engineer (AI Engineer)

Singapore, Singapore

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Experience · employer excerpt

5+ years of professional experience in AI engineering and software engineering.
3+ years of hands-on experience building AI/ML, LLM-based, automation, data-driven, or intelligent software systems.
Experience building production software, not only prototypes or notebooks.
Experience working in product engineering teams or delivering customer-facing technical solutions.

About this opportunity

Original employer description

About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.

Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.

Job Description

Role Summary:

We are seeking a Staff AI Engineer to help build next-generation cybersecurity AI products for enterprise security teams.

This is a hands-on individual contributor role for an engineer who combines strong AI engineering capability, practical software development skills, and a strong interest in cybersecurity. You will report to the Director, Cybersecurity AI Product and work as part of a newly formed product development team focused on building and operating agentic solutions that help users investigate threats, triage alerts, automate security workflows, analyze vulnerabilities, and make better security decisions.

The ideal candidate is AI-native, product-minded, proactive, and comfortable working through ambiguity. You should be able to learn quickly, experiment with new AI technologies, build reliable product features, and translate customer problems into practical AI-driven solutions.

This role requires hands-on experience with LLM applications, agentic AI systems, retrieval-augmented generation, tool orchestration, context management, model evaluation, cloud-native software engineering, APIs, and secure software development. Familiarity with cybersecurity concepts, security operations, cloud security, or threat intelligence is strongly preferred.

Key Responsibilities:

Design and Build Advanced Cybersecurity AI Products
Build agentic AI workflows for various cybersecurity operations, engineering, and risk processes.
Convert ambiguous product ideas and early prototypes into secure, maintainable, production-grade AI systems
Take end-to-end Technical Ownership of Complex AI Product Components, from problem framing to production operation.
Break down ambiguous problems into technical plans, milestones, risks, and deliverables
Contribute to technical roadmaps and influence prioritization through evidence, customer feedback, and engineering principles
Identify design gaps, tech-debts, scalability risks, and make sound engineering trade-offs.
Research, Evaluate, and Operationalized Emerging AI Technologies
Continuously Learn, Research and Evaluate Emerging AI technologies
Translate research findings into practical implementation patterns, product features, internal recommendations, or technical standards
Share findings through technical documentation, demos, internal talks or fast POCs
Build Production-Grade AI Products
Develop backend services, APIs, integrations, AI orchestration, data pipelines, and other software components.
Support deployment, monitoring, debugging, and operational support of AI products
Work with CI/CD pipelines, containers, infrastructure as code, logging, metrics, and automated testing
Design systems that scale across customers, workloads, data sources, and platforms
Influence Through Technical Excellence
Provide technical guidance to other engineers through code reviews, design discussions, documentation, and example implementations
Mentor less experienced engineers informally through strong engineering practice and clear reasoning
Raise the quality of team decisions by bringing evidence, research, customer context, and practical trade-off analysis
Communicate complex AI, security, and architecture concepts clearly to technical and non-technical stakeholders
Collaborate with product, security, solution engineering, and customer-facing teams to ensure product capabilities address real customer workflows
Demonstrate ownership, proactiveness, customer obsession, and ability to operate effectively in ambiguity

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Required Qualifications:

Experience

5+ years of professional experience in AI engineering and software engineering.
3+ years of hands-on experience building AI/ML, LLM-based, automation, data-driven, or intelligent software systems.
Experience building production software, not only prototypes or notebooks.
Experience working in product engineering teams or delivering customer-facing technical solutions.

AI Engineering:

Strong practical experience with LLM applications, AI workflow automation, AI assistants, copilots, or agentic AI systems.
Familiarity with concepts such as:
- Prompt engineering
- System prompts and instruction design
- Retrieval-augmented generation
- Vector search
- Embeddings
- Tool calling
- Function orchestration
- Context management
- Agent memory
- Evaluation datasets
- Model benchmarking
- Feedback loops
Experience with agentic AI frameworks or tools such as:
- LangChain
- LlamaIndex
- Semantic Kernel
- AutoGen
- CrewAI
- Vector databases
- Knowledge graphs
- Model evaluation frameworks
Ability to evaluate AI outputs objectively and improve quality, safety, reliability, latency, and cost.
Experience using commercial or open-source AI models and APIs.
Demonstrated ability to use AI tools in everyday work for coding, debugging, research, documentation, testing, or productivity improvement.

Software Engineering:

Strong programming ability in two or more languages such as:
- Python
- TypeScript / Node.js
- Go
- Java
- Rust
Strong understanding of software architecture, API design, data modeling, distributed systems, asynchronous processing, observability, and maintainability
Experience building backend services, APIs, data pipelines, integrations, or cloud-native applications.
Familiarity with web applications, distributed systems, databases, CI/CD pipelines, logging, monitoring, and automated testing.
Ability to write clean, maintainable, secure, and production-ready code.
Experience participating in design reviews, code reviews, and production troubleshooting.

Cybersecurity and Secure AI Awareness:

Working knowledge of cybersecurity principles, secure software development, and common vulnerabilities.
Ability to assess security implications of AI-enabled workflows and software architecture decisions.
Interest and ability to deepen cybersecurity domain expertise quickly.
Awareness of AI-specific security risks, including prompt injection, data leakage, hallucination, adversarial inputs, unsafe tool execution, and excessive permissions.

Cloud and Infrastructure:

Experience developing or deploying applications on cloud platforms such as AWS and/or Microsoft Azure.
Familiarity with containers, serverless services, managed databases, event-driven systems, queues, object storage, and cloud identity concepts.
Understanding of observability, deployment automation, environment configuration, and operational reliability.
Awareness of cloud security principles, IAM, secrets management, and secure configuration.

Leadership Qualities:

Strong ownership mindset and accountability for outcomes.
Proactive approach to identifying problems and proposing solutions.
Customer-obsessed mindset with focus on practical user value.
Comfortable dealing with ambiguity and evolving requirements.
Strong analytical and problem-solving skills.
Clear written and verbal communication skills.
Strong habit of continuous learning, experimentation, and knowledge sharing.
Ability to work independently and collaborate effectively in a small, fast-moving team.

Preferred Qualifications:

Advanced degree (Master’s degree or Ph.D.) in computer science or related fields
Experience building AI agents, LLM applications, copilots, automation systems, or RAG-based products
Experience with cybersecurity products, security automation, SOC tools, SIEM/SOAR integrations, cloud security platforms, identity security, threat intelligence, or incident response workflows
Familiarity with AI security risks, including prompt injection, data leakage, hallucination, unsafe tool use, and adversarial inputs
Experience with evaluation methods for LLM systems, including golden datasets, human review workflows, offline evaluation, online evaluation, and regression testing
Experience with Kubernetes, infrastructure as code, observability platforms, secrets management, or cloud-native security
Familiarity with security frameworks such as MITRE ATT&CK, OWASP, NIST Cybersecurity Framework, CIS Controls, or ISO 27001
Experience working in early-stage product teams, startups, innovation teams, or ambiguous product incubation environments.

Visa is an EEO Employer

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

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Keywords also found in description

Engineering & Technology
Software Engineering

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