Lead Front End Developer - Agentic AI Platform Job at Mastercard

Qe Ai Lead Engineer

As a QE AI Engineer & QE Architect, you will have the opportunity of joining an ...

Location

United Kingdom , London

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Extensive experience as a Senior QE SDET Engineer or Senior Developer
Has breadth of experience across different tech-stacks, such as JavaScript/TypeScript, Java, C#, or Python, amongst others
Experienced in RAG Weaviate, OpenAI, Agents, MCP, Langchain, Prompt Engineering, Browser-Use, and Django
Experienced building AI Tools, Agents and Agentic workflows (LangGraph, CrwAI)
Hands-on Product building experience that cuts across the full SDLC - not just test automation and QE
Experienced in building RAG system with a nice-to-have on fine-tuning LLMs
Cleaning/augmenting data
Comfortable with IAS (Infra As Code) eg. giving a high-level spec
Fully understands test automation (across platforms and functional/non-functional) and associated tech
Presentation skills - C-Suite clients and in-house

Job Responsibility

Lead the expansion of our existing portfolio of Quality Engineering assets and services
Ensure Shift-Left Testing emphasising early testing in the development lifecycle
Play a key role as an AI mentor and train your team on the latest testing tools and methodologies
Always look for ways to drive SDLC efficiencies and to improve the quality engineering approach
Capture the value created through defining and tracking quality metrics

What we offer

Flexible work options
Tailored benefits that support physical, emotional, and financial wellbeing
Learning and Development opportunities

Fulltime

Full Stack Software Engineer (Microsoft Power Platform / AI Automation)

We are seeking an experienced Full Stack Software Engineer to lead the design an...

Location

United States , Halethorpe

Salary:

90000.00 - 125000.00 USD / Year

Piper Companies

Expiration Date

Until further notice

Requirements

Hands-on experience building production-level solutions with Microsoft Copilot Studio
Strong experience with Power Apps, Power Automate, and Dataverse
Full stack development experience (e.g., APIs, databases, front-end interfaces)
Proficiency in at least one programming language (e.g., Python, Java, or similar)
Practical experience using AI/LLM tools (e.g., Claude, OpenAI, or similar) in real-world applications
Ability to work independently and deliver solutions with minimal guidance
Strong communication skills and ability to work with both technical and non-technical stakeholders

Job Responsibility

Design, build, and deploy AI-powered automation solutions using Microsoft Copilot Studio and related tools
Develop and maintain Power Apps, Power Automate workflows, and Dataverse-backed applications
Integrate AI agents with internal systems, APIs, and operational workflows
Build full stack solutions including backend services and user-facing interfaces
Collaborate with stakeholders to translate business needs into technical solutions
Lead technical planning and execution for automation initiatives
Ensure solutions are scalable, maintainable, and production-ready

What we offer

PTO
Paid Holidays
Medical
Dental
Vision
401 (K)
Sick Leave (As required by law)

Fulltime

Sr. Distinguished Engineer, Front End (Angular)

As a Sr. Distinguished Engineer at Capital One, you will be a part of a communit...

Location

United States , New York, New York; McLean, Virginia

Salary:

314800.00 - 392000.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree
At least 9 years of experience in Enterprise architecture and design patterns on front end technologies - Angular, React
At least 9 years of Software engineering and solution architecture and Software specializations
At least 7 years of experience in Cloud computing (AWS, Microsoft Azure, Google Cloud)
At least 7 years of experience in Web technologies (Javascript, TypeScript and SPA frameworks)
Full ML development lifecycle using AI and ML frameworks
Designing and building distributed HPC and ML systems

Job Responsibility

Articulate and evangelize a bold technical vision for your domain
Decompose complex problems into practical and operational solutions
Ensure the quality of technical design and implementation
Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability
Continue learning and injecting advanced technical knowledge into our community
Handle several projects simultaneously, balancing your time to maximize impact
Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
Define and drive the technical vision for Capital One’s web platform domain, spanning authenticated servicing, marketing/acquisition, and design system capabilities
Lead architectural decisions for large-scale platform integrations and migrations, ensuring long-term platform health while meeting delivery commitments
Establish AI-native development standards and practices for web platforms, including agentic tooling, machine-consumable architecture, and AI-assisted delivery workflows

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Lead AI Engineer, Banking Technology - Senior Vice President

We are seeking an AI‑first Lead AI Engineer to define, architect, and deliver en...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of progressive software engineering experience with sustained hands‑on contributions.
3+ years of dedicated experience in AI, LLM‑based systems, and agentic architectures.
Proven success architecting and delivering multiple enterprise‑scale AI solutions into production.
Expert‑level proficiency in Python and/or Java (Spring Boot)
solid experience with JavaScript/TypeScript (Angular, Node.js).
Deep knowledge of AI fundamentals (knowledge representation, automated planning, decision‑making under uncertainty, multi‑agent systems).
Extensive hands‑on experience with LLM platforms (OpenAI, Anthropic, Google), RAG pipelines, MCPs, and agent frameworks (Google ADK).
Demonstrated effectiveness with AI coding tools (Devin, Claude Code, GitHub Copilot, Antigravity).
Strong experience with ML frameworks (TensorFlow, PyTorch) and data science libraries.
Proven ability to design and expose robust, scalable APIs for AI services.

Job Responsibility

Lead integration of functions to meet goals, deploy new products, and enhance processes
Analyze complex business processes, system processes, and industry standards to define and develop solutions to high level problems
Provide expertise in area of advanced knowledge of applications programming and plan assignments involving large budgets, cross functional project, or multiple projects
Develop application methodologies and standards for program analysis, design, coding, testing, debugging, and implementation
Utilize advanced knowledge of supported main system flows and comprehensive knowledge of multiple areas to achieve technology goals
Consult with end users to identify system function specifications and incorporate into overall system design
Allocate work, and act as an advisor/coach developers, analysts, and new team members
Influence and negotiate with senior leaders and communicate with external parties
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Lead the design, hands‑on implementation, and deployment of scalable agentic AI and generative AI solutions for high‑impact business use cases.

Fulltime

New

Principal Engineer - Technical Lead (Gen AI and MACH Architecture)

At AKQA, we believe in the imaginative application of art and science to create ...

Location

United Kingdom , London

Salary:

Not provided

AKQA

Expiration Date

Until further notice

Requirements

Minimum three years' experience with Generative AI, including proven experience shipping at least one AI solution to production in an enterprise context (beyond prototypes or sandbox experiments)
AI architecture for experience platforms: system design for intelligent products and services, including RAG, GraphRAG, agent orchestration and proximity / relevance evaluation
Hands-on implementation with Vercel AI SDK, Vercel AI Cloud and agentic cloud patterns for production AI experiences
AI content and data engineering: ingestion, cleansing, transformation, embedding, indexing and retrieval pipeline design
Integration across cloud AI services (e.g. GCP + Vertex AI, Vercel AI Cloud, AWS Bedrock, Azure OpenAI) within a broader MACH and API-led landscape
with preference for GCP and Vercel, or suitable equivalents on AWS and Azure, and the capability to draw parallels across platforms
GEO and LLM optimisation: experience designing intelligent experiences and content structures optimised for generative engine discovery and LLM retrieval
Model fine-tuning: experience customising and fine-tuning existing models for production use cases
including data preparation, evaluation, versioning and deployment within enterprise governance, cost and reliability constraints
AI cost-value analysis, observability, governance, testing and evaluation frameworks for production systems

Job Responsibility

Designing, building and shipping enterprise-grade systems
Leading the technical direction of complex client programmes across MACH architectures and production Generative AI
Spanning Design to Code workflows, solution design and API contracts through to cloud infrastructure, deployment and ongoing operation
Owning architecture decisions, writing and reviewing production code, and mentoring engineers
Remaining accountable for what ships, not just what is proposed
Working closely with Technical Managers, cross-discipline teams and on-shore, off-shore and hybrid engineering squads
Occasionally supporting pre-sales scoping or technical pitches

What we offer

Extensive range of benefits (explore at AKQA benefits page)
Hybrid working environment
Equal opportunity employer
Commitment to fostering a culture of respect

Fulltime

Consultant - Full Stack AI Application Developer

Microsoft Industry Solutions – Global Center for Innovation and Delivery (GCID) ...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

4-10 years of professional software development experience
Bachelor's degree in computer science, Engineering, or a related discipline, or equivalent practical experience
Microsoft or cloud certifications are preferred, including but not limited to: MCSD/MCAD/MCSE, AZ-204, AI-900, AI-102, or equivalent entry- to mid-level cloud and AI certifications
Hands-on experience designing and building applications using .NET (C#), .NET Web APIs, Node.js with modern front-end technologies such as JavaScript or TypeScript, and frameworks like Angular or React
Strong understanding of application development across UI, API, service, integration, and data layers
Experience building and consuming RESTful services and integrating backend systems
Working knowledge of relational databases such as Azure SQL, Azure Cosmos DB, PostgreSQL, Azure SQL managed Instance or Azure Database for MySQL, including data access and performance considerations
Solid foundation in software engineering principles, including clean code, debugging, testing, and problem-solving
Hands-on experience integrating AI capabilities into applications, such as search, chat, recommendations, or content generation using AI services or APIs
Practical knowledge of Azure AI services, including Azure AI Foundry and Azure AI Search, and understanding of RAG (Retrieval-Augmented Generation) patterns

Job Responsibility

Design and build cloud-native, full-stack applications on Microsoft Azure, contributing across UI, API, services, and data layers with high-quality, secure, and scalable code
Collaborate with architects and senior consultants to translate business requirements into technical designs and implementation plans
participate in design reviews and solution walkthroughs
Own feature delivery end-to-end: estimate effort, implement features, write unit/integration tests, perform code reviews, and support deployment through CI/CD pipelines
Integrate backend services and data platforms, implement RESTful APIs, and ensure performance, reliability, and observability (logging, metrics, traces) for production readiness
Apply security, compliance, and Responsible AI principles across application development and operations, following Microsoft and customer governance standards
Identify technical risks and dependencies early
raise and help mitigate issues, support technical escalations, and contribute to contingency plans for smooth delivery
Reuse and contribute to shared frameworks and IP, leveraging best practices, accelerators, and patterns to improve delivery speed and predictability
Collaborate cross-functionally (e.g., project leads, delivery managers, account teams) to articulate technical value, support adoption, and ensure customer outcomes

Fulltime

Staff Software Engineer, AI Agent Platform

The Geico AI Agent Platform team is seeking an exceptional Staff Software Engine...

Location

United States , Chevy Chase; New York City

Salary:

115000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, Mathematics, or a related field
an advanced degree (master’s or Ph.D.) is highly desirable
6+ years of hands-on experience in designing, implementing, and maintaining multi-tenant AIML systems and platforms in production environments
6+ years of experience working with cloud platforms such as Azure and AWS
Extensive expertise in designing and deploying large-scale data pipelines and real-time inference systems and managing the end-to-end AI Agent and/or AIML system development lifecycles, including configuration, evaluation, monitoring, observability and AuthN/AuthR considerations
6+ years of experience working with common backend systems & tools (e.g, Kubernetes, Temporal, OpenSearch, PostgreSQL, Redis, Neo4J, etc.)
Deep understanding of Docker, container optimization, and multi-stage builds
Experience with Prometheus, Grafana, Open Telemetry and distributed tracing
3+ years of experience building front-end web applications using frameworks such as React and/or Next.JS
Deep proficiency in programming languages such as Python, Java, Go, etc., with a strong emphasis on coding excellence

Job Responsibility

Architect and implement scalable multi-tenant backend systems for building AI agent workflows, including agent configuration, offline evaluation, synthetic data generation, workflow simulation, agent marketplace, etc. using Azure Kubernetes Service (AKS), FastAPI, etc., ensuring economy of scale and control cost of maintenance
Collaborate with Design team to architect and implement frontend experiences and workflows for onboarding both technical and non-technical stakeholders, maximizing user adoption and successful AI agent development
Develop observability frameworks to ensure 99.9%+ uptime for AI agent platforms through robust monitoring, alerting, and incident response procedures
Evaluate and (if desirable) integrate cutting-edge GenAI frameworks, libraries and vendors to maintain a state-of-the-art technology stack, including hybrid cloud solutions with AWS/GCP as backup or specialized use cases
Architect and implement scalable, high-performance machine learning platforms and systems capable of processing large data volumes and supporting real-time decision making and workflows
Oversee the end-to-end lifecycle of AI agent applications, ensuring robust testing, deployment, and ongoing monitoring
Ensure adherence to company production readiness standards, security protocols, and regulatory compliance throughout the development lifecycle
Continuously optimize platform performance, reducing latency and improving throughput for AI agent workloads
Design and implement backup, recovery, and business continuity plans for hosted platform applications & services
Design and maintain robust CI/CD pipelines for ML model deployment using Azure DevOps, GitHub Actions, and MLOps tools

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

New

Application Development Technology Senior Lead- Senior Vice President

As the App Dev Senior Tech Lead Analyst, you will responsible for the technical ...

Location

United States , Tampa

Salary:

141440.00 - 212160.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

12+ years of experience in software engineering, with at least 2+ years in a leadership role, leading high-performing engineering teams
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
Proven experience as a 'player-coach' who can lead from the front, contribute to the codebase, and mentor junior and senior engineers
Strong track record of designing, building, and launching scalable, distributed, cloud-native platforms from the ground up
Experience in the financial services, especially Financial Analytics is a significant plus
Exceptional ability to communicate complex technical concepts to non-technical stakeholders and to articulate a clear technical vision that aligns with business goals
Java full stack/Spring Boot (enterprise standard) and Python Go (plus)
Microservices, domain-driven design, event-driven systems
REST/gRPC
Apigee, Kong

Job Responsibility

Lead the design, architecture, and hands-on development of a scalable, secure, and resilient agentic AI platform from concept to production
Serve as the lead engineer and technical authority, guiding critical decisions on frameworks, technologies, and infrastructure. You will be expected to write code, build prototypes, and lead by example
Partner closely with product management and senior business leaders in banking to define the product strategy and technical roadmap. Translate complex business needs into elegant and scalable technical solutions
Partner effectively with horizontal AI platform teams, enterprise architecture, and external vendor partners to leverage existing capabilities, influence roadmaps, and accelerate delivery
Drive the strategy for integrating and operationalizing Large Language Models (LLMs), agentic frameworks (e.g., Google ADK, LangChain,), and other AI/ML technologies to solve real-world banking challenges
Implement and champion best-in-class engineering practices, including CI/CD, automated testing, infrastructure-as-code, and robust monitoring to ensure enterprise-grade reliability
Define, measure, and report on key performance indicators (KPIs) related to platform adoption, user productivity, and the ultimate impact on business outcomes like wallet share growth
Ensure the platform adheres to the highest standards of data privacy, security, and regulatory compliance required in the banking industry

What we offer

Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Fulltime

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Lead Front End Developer - Agentic AI Platform

Job Description

Job Responsibility

Requirements

What we offer

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