Senior AI Engineer Job at Mastercard (Toronto)

Senior AI Engineer

As part of Schwab’s AI Strategy & Transformation team (AI.x), you’ll join the ce...

Location

United States , San Francisco

Salary:

211600.00 - 317400.00 USD / Year

Charles Schwab

Expiration Date

January 20, 2026

Requirements

8+ years of software development experience
4+ years as a hands-on senior engineer in startups and/or large organizations
Bachelor’s degree in Computer Science or related field
5+ years building complex products from scratch, running them in production, and ensuring operational reliability
3+ years building applications leveraging AI models for measurable business impact
3+ years developing applications and data pipelines interfacing with large datasets
3+ years working with containers and cloud-native applications, operationalizing them in the public cloud with infrastructure as code

Job Responsibility

Design, build, and deliver GenAI applications that elevate client experience and generate business impact
Champion reliability, monitoring, observability, and operational best practices for AI systems and data pipelines
Collaborate with cross-functional teams to align solutions with enterprise strategy and technical standards
Mentor and coach junior engineers, fostering strong practices and continuous learning
Lead by example in solving complex technical challenges and driving rapid iteration from concept to deployment
Implement and maintain monitoring, alerting, and incident response frameworks to ensure system health and reliability
Advance engineering standards, focusing on operational excellence and quality across all deliverables

What we offer

401(k) with company match
Employee stock purchase plan
Paid time for vacation, volunteering
28-day sabbatical after every 5 years of service for eligible positions
Paid parental leave
Family building benefits
Tuition reimbursement
Health, dental, and vision insurance
Bonus or incentive opportunities

Fulltime

Senior AI Engineer

We are building an AI platform that accelerates the Software Development Lifecyc...

Location

Uzbekistan , Tashkent

Salary:

Not provided

Vention

Expiration Date

Until further notice

Requirements

5+ years of experience in software development (backend or full-stack)
Strong proficiency in .NET and/or Python. Ability to connect classical software engineering practices with modern AI capabilities
Experience with multi-agent orchestration frameworks (LangChain, CrewAI, AutoGen, or similar tools used to build and orchestrate AI agents)
Hands-on experience with AI-assisted development tools (Cursor, GitHub Copilot, OpenAI Codex, and other AI solutions that enhance productivity and code quality)
Experience embedding AI into coding, testing, documentation, and review processes to automate and accelerate delivery
Expertise in automation and workflow design

Job Responsibility

Design and implement AI-driven workflows across the SDLC
Enhance documentation processes
Accelerate development with AI-assisted coding
Improve PR analysis and code review
Optimize test documentation and testing workflows
Support deployment workflows
Enhance support and operations
Develop and orchestrate AI agents

What we offer

EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
Licenses for AI tools: GitHub Copilot, Cursor, and others
Expanded medical support for employees in Tashkent
19 working days of vacation per year, 21 after two years in the company
Corporate getaway & teambuilding activities
Support for the significant events in your life
Referral bonuses for bringing in new talent

Fulltime

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...

Location

India , Chennai, Madurai, Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
Excellent Python programming skills with data engineering libraries and frameworks
Advanced SQL capabilities including window functions, CTEs, and performance tuning
Solid understanding of distributed processing using Spark/PySpark
Experience designing and implementing scalable ETL/ELT workflows
Good understanding of data modeling concepts (dimensional, star, snowflake)
Familiarity with GenAI/LLM-based integration for data workflows
Experience working with Git, CI/CD, and Agile delivery frameworks
Strong communication skills for interacting with clients, stakeholders, and internal teams

Job Responsibility

Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations

What we offer

Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
Hands-on exposure to modern data stacks and emerging AI technologies
Collaboration with experts across Data, AI/ML, and cloud practices
Access to structured learning, certifications, and leadership mentoring
Competitive compensation with fast-track career growth and visibility

Fulltime

Senior Platform Engineer - CI/CD & AI Automation (AI-first)

Groupon is undergoing a critical platform transformation, modernizing its core d...

Location

Czechia , Prague

Salary:

Not provided

Groupon

Expiration Date

Until further notice

Requirements

5+ years of dedicated experience in Platform Engineering, DevOps, or Infrastructure roles
Deep expertise building, scaling, and migrating CI/CD systems, with strong practical experience in Jenkins and/or GitHub Actions
Expertise in scripting and automation (Python, Go, or Bash)
Solid understanding of container technologies, Kubernetes, and cloud build systems
Proven experience leveraging AI tooling (e.g., Claude Code, code analysis) to meaningfully increase developer output and optimize platform work
Excellent communication and ability to drive technical decisions across multiple platform and product teams

Job Responsibility

Platform Transformation: Lead the design, planning, and execution of the Jenkins-to-GitHub Actions migration across a large portfolio of microservices
Pipeline Engineering: Design and optimize high-performance, secure, and observable CI/CD workflows across GitHub Actions, Jenkins, and Kubernetes environments
AI-First Automation: Drive an AI-First workflow by leveraging tools (e.g., Copilot, code generation) to eliminate infrastructure toil, accelerate development, and analyze pipeline failures
Core Automation: Develop robust platform automation (e.g., Python, Go, Bash) to improve build efficiency, artifact caching, reliability, and repository hygiene
Security & Compliance: Harden CI/CD infrastructure with robust controls for secrets management, RBAC, audit logging, and secure runner design
Observability: Implement and enhance CI/CD observability using tools like Prometheus, Grafana, and OpenTelemetry to provide deep insights into performance and reliability
Technical Leadership: Mentor engineers and partner across Cloud, Security, and Developer Experience teams to define and evolve our end-to-end delivery platform architecture

Senior AI Engineer

Elsewhen, a London-based consultancy, designs and builds technology solutions fo...

Location

United Kingdom , London

Salary:

Not provided

Elsewhen

Expiration Date

Until further notice

Requirements

Professional AI engineering experience
Background in Software Engineering with Python
Solid understanding of the Python standard library and modern Python coding, testing, debugging and automation techniques
Hands-on experience building solutions using LLMs and Agentic architectures with ADK, LlamaIndex, or LangGraph
Working with vector databases for embedding and indexing
Strong experience with cloud platforms
Strong experience with API design and frameworks like FastAPI or Flask
Solid experience with relational databases and SQL
Interest in expanding your knowledge into GenAI and machine learning
Excellent communication skills and the ability to work well in a collaborative team environment

Job Responsibility

Experiment with POCs to find solutions for real-world problems using Large Language Models
Collaborate on AI-driven projects, working alongside engineers, product managers and AI specialists while maintaining clear documentation
Build and deploy Agentic LLM-based solutions with LangGraph
Familiar with different multi agent system patterns
Build and deploy LLM-based solutions using RAG
Familiar with different types of databases: Relational, Graph etc
Design and optimise APIs using Python and FastAPI to serve AI solutions
Familiar with GCP ecosystem and Cloudrun
Build and optimise data pipelines for vector search and knowledge retrieval using Vector databases and embedding models

What we offer

Private Health Insurance: Comprehensive coverage for both physical and mental health
Flexible and Remote-First Work Environment: Choose how and where you work, with the option for weekly team meet-ups in central London
Generous Leave Policy: 27 days of holiday plus bank holidays
Family-friendly policies, including enhanced maternity, paternity and shared
Learning and Development: Individual annual budget of £2,000 for learning and development, with dedicated learning days
Feel Better Fund: £500 to help set up your remote office
Social Events: Monthly and quarterly team events, an annual team trip, and half-yearly social events
Gym Membership Contribution: Support for maintaining your physical health
Pension Contribution: Enhanced employer pension contribution of 6%
Bonus Opportunities: Potential to receive a discretionary (non-contractual) bonus based on business and personal achievements

Senior AI Engineer

As a Senior AI Engineer on our AI Engineering team, you will be responsible for ...

Location

Canada; United States

Salary:

160000.00 - 260000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience with a focus on production systems
1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs
Production LLM Applications: Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage (not just POCs or internal tools)
Agent Development: Experience building multi-step AI agents, LLM chaining, and complex workflow automation
Prompt Engineering Expertise: Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
Python Proficiency: Expert-level Python skills for production AI systems
Backend Engineering: Strong experience building scalable backend systems, APIs, and distributed architectures
LangChain or Similar Frameworks: Experience with LangChain, LlamaIndex, or other LLM application frameworks
API Integration: Proven ability to integrate multiple APIs and services to create advanced AI capabilities
Production Deployment: Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)

Job Responsibility

Design and Deploy Production LLM Systems: Build scalable, reliable AI systems that serve millions of users with high availability and performance requirements
Agent Development: Create sophisticated AI agents that can chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows
Prompt Engineering Excellence: Develop and optimize prompting strategies, understand trade-offs between prompt engineering vs fine-tuning, and implement advanced prompting techniques
System Integration: Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services
Evaluation & Quality Assurance: Implement comprehensive evaluation frameworks, A/B testing, and monitoring systems to ensure AI systems meet accuracy, safety, and reliability standards
Performance Optimization: Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios
Cross-functional Collaboration: Work closely with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions

What we offer

equity
company bonus or sales commissions/bonuses
401(k) plan
at least 10 paid holidays per year, flex PTO, and parental leave
employee assistance program and wellbeing benefits
global travel coverage
life/AD&D/STD/LTD insurance
FSA/HSA and medical, dental, and vision benefits

Fulltime

Senior AI Engineer

We are seeking an innovative AI Engineer to join a brand new team focused on pro...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Proven experience as an AI Engineer with a significant delivery history
Strong expertise in multiple programming languages & frameworks
Experience and proven experience in using quantitative testing practice applied to the field of AI/ML for actionable Go/No-Go decisions of delivering software to production
Demonstrated expertise of developing on a range of architectures, ideally up to and including container-based micro-services with focus on scalability, reliability, maintainability, and high performance
Good understanding of SQL and NoSQL databases
Excellent communication and collaboration skills
A growth mindset and willingness to learn and adapt in a fast-paced environment
Passion about site reliability engineering and its impact on product development
Being connected to latest technologies, like Generative AI, and keen to put them in practice.

Job Responsibility

Understand the landscape, tooling and procedures used by developers at Citi and look for opportunities to reduce toil and aid simplification using Gen AI based solutions
Apply classic AI and novel Gen AI evaluation methodology to raise the quality and reliability bar for the software that you will deliver, as well to manage and mitigate risks that are specific/inherent to this field
Advice on Evaluation metrics, devise and implement Quantitative Testing Plans, and help evolve the existing approaches to AI evaluation
Work with a wide variety of Citi technology teams and help them drive towards everything-as-code and a codified controls environment
Collaborate with product and engineering teams to design, build and maintain scalable and reliable web applications and services
Be hands-on with coding and software design to ensure adherence to high quality standards and best practices
Mentor and nurture other engineers to help them grow their skills and expertise
Support and drive cultural change, including instigating critical thinking about controls and processes and encouraging a culture of continuous improvement.

What we offer

27 days annual leave (plus bank holidays)
A discretional annual performance-related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources.

Fulltime

Senior Engineering Manager, AI

As a Senior Engineering Manager (Forward Deployed Engineering team) at Atlassian...

Location

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
5+ years of experience managing software engineering teams at scale
Experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
Strategic and innovative thinking, with a track record of aligning technical solutions to business goals

Job Responsibility

Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence
Mentor and coach your forward-deployed engineering team on best practices in AI/ML solution design, code quality, scalable architecture, testing, debugging, and documentation—ensuring rapid, high-quality delivery of customer-focused, production-ready solutions
Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results

What we offer

Health coverage
Paid volunteer days
Wellness resources

Senior AI Engineer

Mastercard

Location:
Canada , Toronto

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 06, 2026

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