1,000+ matching jobs for “Solutions Engineer”

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Exact titles rank first, then title variations and keywords in descriptions. These labels aren't qualification scores. Without keywords, recently added jobs appear first.

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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Cisco Systems

Software Engineer

Kraków, Lesser Poland, Poland +1 location

… protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions …

Added Oct 27, 2026

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Cisco Systems

Software Engineer

Kraków, Lesser Poland, Poland +1 location

Added Oct 27, 2026

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Cisco Systems

Data Engineer

Kraków, Lesser Poland, Poland +1 location

Added Oct 27, 2026

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Cisco Systems

Software Engineer

Bengaluru, Karnataka, India

… IT infrastructure that serves tens of millions of people every day. Your Impact As a Full Stack Software Engineer, you will collaborate with firmware, backend, SRE, and dashboard engineers to architect, design, and build …

Added Oct 27, 2026

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PCA Engineer

Singapore, Singapore

Full time
Reg Employee

… and issue resolution. The role leads a project team to create reliable, cost-effective, and high-quality solutions for moderately complex products. What a PCA Engineer does at HP: Designs engineering solutions for …

Added Oct 12, 2026

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Cisco Systems

ASIC Engineer

Caesarea, Israel +1 location 2 postings

Added Oct 27, 2026

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Xylem

Engineer - Application

Vadodara 73 East Ave

In person
Full time
Regular

Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. …

Added Oct 27, 2026

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Xylem

Engineer - Application

Vadodara 73 East Ave

In person
Full time
Regular

Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. …

Added Oct 27, 2026

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KLA

Applications Engineer

Chennai, Tamil Nadu, India

Full time
Regular

… screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and …

Added Oct 15, 2026

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Applied Materials

Customer Engineer

Singapore, Singapore

… customers to ensure smooth operations and exceptional service. We are the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. For more than 55 years, our …

Added Oct 27, 2026

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American Electric Power

Plant Engineer - Plant Engineer Senior

Pittsburg, TX

Full time
Regular

Pay posted by employer$87,633–$128,688

The Plant Engineer provides technical leadership and engineering support to ensure safe, reliable, efficient, and compliant …

Added Oct 30, 2026

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Dow

Platform Engineer

Navi Mumbai, Maharashtra, India

In person
Full time
Regular

… Mumbai (IN) at a frequency to be agreed upon by the employee and their leader. As an Azure Data Platform Engineer specializing in data and analytics solutions, you will be responsible for designing, implementing, and …

Added Oct 27, 2026

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Carrier Global

System Engineer

LOC3254: No.3239 Shenjiang Road, Shanghai, Pudong New Area, Shanghai, China

… of the position is the engineering development of chiller system technologies. In this capacity, the engineer will be primarily responsible to develop solutions that best meet the market needs by integrating multiple …

Added Oct 27, 2026

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Air Products & Chemicals

Project Engineer

Seoul Seoul, South Korea

Full time

Purpose As Project Engineer, this role is responsible for supporting Project Manager to execute projects successfully within the …

Added Nov 3, 2026

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Applied Materials

Customer Engineer

Singapore, Singapore

Added Oct 27, 2026

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Applied Materials

Customer Engineer

Singapore, Singapore

Added Oct 27, 2026

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Cisco Systems

Software Engineer

Bengaluru, Karnataka, India +1 location

… · AI Systems & Infrastructure: Direct experience with AI Technologies platforms and network assurance solutions, complemented by hands-on proficiency in cloud-based AI infrastructure, specifically AWS, Amazon Bedrock , …

Added Oct 27, 2026

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RTX

Electrical Engineer

AU-WA-EXMOUTH-HEH-CUST ~ HEH Murat Rd ~ NAVAL COMMS (External Site)

… role is for you. To support our mission, Raytheon Australia is currently seeking a motivated Electrical Engineer who is ready to join a diverse, talented, and enthusiastic team of engineering professionals on-site in …

Added Oct 27, 2026

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Motorola Solutions

DevOps Engineer

Ho Chi Minh City, Ho Chi Minh City (HCMC), Vietnam

As a System Development Engineer, you sit at the high-velocity intersection of Software Engineering and Systems Architecture, building the …

Added Nov 3, 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.

Why this result? · Employer labels

Keywords also found in description

Engineering & Technology
Software Engineering

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