Senior Staff Data Engineer - Agentic AI Job at Amex (Bengaluru Urban)

Staff Data Engineer - Agentic AI

As a Staff Data Engineer – Agentic AI, you will operate as a senior individual c...

Location

India , Bengaluru Urban; CHENNAI

Salary:

Not provided

Amex

Expiration Date

Until further notice

Requirements

10+ years of experience building large-scale distributed systems
Strong experience with LLM systems, agentic workflows or advanced ML infrastructure
Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products
Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure
Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation
Fluency with AI-assisted and agentic development workflows
Comfort operating in ambiguous problem spaces and translating them into shipped, reliable autonomous systems
Ability to influence technical direction and align teams without formal authority
Experience in workflow engines, async processing, queues, and streaming systems

Job Responsibility

Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design
Design, build, and operate production-grade agentic AI systems used across multiple products
Own and evolve shared agentic AI capabilities, including Agent frameworks and orchestration layers, Planning, tool use, and memory strategies, Retrieval and grounding (RAG) pipelines, LLM infrastructure, inference, and model gateways, Evaluation, observability, and safety tooling for autonomous systems
Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost
Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to production
Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improvements
Mentor senior engineers and raise the technical bar for agentic AI development through example and influence

What we offer

Competitive base salaries
Bonus incentives
Support for financial-well-being and retirement
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
Generous paid parental leave policies (depending on your location)
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities

Senior Staff Data Engineer- ML & AI Platform

At Marktplaats, data is at the heart of everything we do, but Intelligence is wh...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

10+ years of experience with a specific focus on the intersection of Data Engineering, MLOps, and AI Infrastructure
Deep knowledge of Spark internals, structured streaming, and performance tuning for large-scale data processing
Proven experience architecting end-to-end ML platforms for Traditional ML (Classic MLOps) while actively enabling the organization on Generative AI concepts
Strong background in building automated pipelines and ensuring system observability
Practical experience building infrastructure for Large Language Models, including managing the complexity of chaining models and tools
Solid experience serving models at low latency and high concurrency using containerized solutions
Ability to speak the language of AI/ML Engineers and effectively bridge the gap between experimental code and production systems
Expert level Python
Experience with PyTorch, Terraform, Terragrunt, Docker, Kubernetes, GitHub Actions, Datadog
Experience with Databricks AI Stack: MLflow, Mosaic AI, Unity Catalog, Feature Store, Databricks Model Serving, Vector Databases

Job Responsibility

Lead the evolution of our Machine Learning & AI Platform, designing the architecture for AI Agents and establishing patterns for Vector Databases
Act as a first mover: validate new Databricks features and integrate them into the platform
Write the guidelines for GenAI development, helping teams transition from notebook experiments to production-grade LLM applications
Design the Feature Store, manage the Model Registry, and set up the infrastructure for Vector Search and RAG (Retrieval Augmented Generation) workflows
Elevate the technical bar of the team, mentoring Staff and Senior engineers on design patterns, code quality, and architectural decisions
Translate complex requirements from ML Engineers and Data Scientists into robust engineering tickets and infrastructure roadmaps

What we offer

An attractive Base Salary
Participation in our Short Term Incentive plan (annual bonus)
Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
A 24/7 Employee Assistance Program for you and your family

Fulltime

Senior Staff Data Engineer- ML & AI Platform

At Marktplaats, data is at the heart of everything we do, but Intelligence is wh...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

10+ years of experience with a specific focus on the intersection of Data Engineering, MLOps, and AI Infrastructure
Deep knowledge of Spark internals, structured streaming, and performance tuning for large-scale data processing
Proven experience architecting end-to-end ML platforms for Traditional ML (Classic MLOps) while actively enabling the organization on Generative AI concepts
Strong background in building automated pipelines and ensuring system observability
Practical experience building infrastructure for Large Language Models, including managing the complexity of chaining models and tools
Solid experience serving models at low latency and high concurrency using containerized solutions
Ability to speak the language of AI/ML Engineers and effectively bridge the gap between experimental code and production systems

Job Responsibility

Lead the evolution of our Machine Learning & AI Platform, designing the architecture for AI Agents and establishing patterns for Vector Databases
Act as a first mover, validate new Databricks features and integrate them into the platform
Write the guidelines for GenAI development, helping teams transition from notebook experiments to production-grade LLM applications
Design the Feature Store, manage the Model Registry, and set up the infrastructure for Vector Search and RAG (Retrieval Augmented Generation) workflows
Elevate the technical bar of the team, mentoring Staff and Senior engineers on design patterns, code quality, and architectural decisions
Translate complex requirements from ML Engineers and Data Scientists into robust engineering tickets and infrastructure roadmaps

What we offer

An attractive Base Salary
Participation in our Short Term Incentive plan (annual bonus)
Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
A 24/7 Employee Assistance Program for you and your family
A collaborative environment with an opportunity to explore your potential and grow

Fulltime

Staff / Senior Backend Engineer, Agentic AI

This team designs intelligent, autonomous systems that eliminate financial opera...

Location

United States , San Francisco

Salary:

150000.00 - 299000.00 USD / Year

Airwallex

Expiration Date

Until further notice

Requirements

5+ years backend experience with Python at scale
Deep knowledge of SQL/NoSQL database design
Experience with distributed systems, event-driven architectures, or microservices
Familiarity with GCP services (Pub/Sub, Cloud Run, Cloud SQL, BigQuery, KMS, etc.)
Strong grasp of security and compliance best practices
Passion for building the backend that powers intelligent products

Job Responsibility

Design and operate distributed, event-driven systems that process high-volume, high-sensitivity financial data with strict correctness and latency guarantees
Build typed, production-grade APIs and services in Python (FastAPI + Pydantic) that power agentic workflows, AI copilots, and real-time financial infrastructure
Own data architecture end-to-end schema design, event models, ledger primitives, and storage layers optimized for auditability, traceability, and scale
Develop resilient infrastructure primitives (queues, retries, idempotency, observability, backpressure handling) that let teams ship fast without sacrificing reliability
Work at the intersection of systems + AI, building feedback loops where product data continuously improves models and models autonomously improve system behavior
Ship platform foundations, not one-off features internal frameworks, SDKs, and tooling that accelerate every engineer in the org
Partner closely with ML + product teams to productionize research-grade ideas into real customer-facing systems
Help define the architecture of an AI-native financial stack not bolting AI onto software, but designing software assuming AI is a first-class runtime

What we offer

Offers Equity
Offers Bonus
medical, dental, and vision insurance
a 401(k) plan
short-term and long-term disability
basic life insurance
well-being benefits
20 paid days of vacation
12 paid days of company holidays

Fulltime

Senior Staff AI Engineer

As a Senior Staff AI Engineer, you will be a senior technical leader responsible...

Location

United States , California

Salary:

199500.00 - 299300.00 USD / Year

Teradata

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
12+ years of experience building backend services, distributed systems, or data/AI platforms
Strong proficiency in Java, Go, or Python, with experience building largescale services
Deep understanding of distributed system design, scalability, fault tolerance, and cloud native architectures
Proven experience designing and operating production systems with SQL and NoSQL data stores

Job Responsibility

Lead the design and evolution of largescale, distributed AI systems that power Teradata’s AI platform and AI native products
Own end-to-end architecture for critical AI capabilities such as agentic workflows, RAG pipelines, vector search, semantic retrieval, and AI orchestration frameworks
Drive technical strategy and architectural consistency across multiple engineering teams
Design and implement production grade AI systems using LLMs, embeddings, vector databases, and agent based architectures
Build scalable, secure, and reusable platform services and APIs supporting AI workloads across the software development lifecycle
Define and implement guardrails for reliability, safety, governance, and cost control in enterprise AI systems
Partner with product management, architecture, research, and cloud platform teams to translate business requirements into scalable AI solutions
Influence roadmap decisions by providing deep technical insight, tradeoff analysis, and long-term platform thinking
Act as a technical escalation point for complex system design, performance, and reliability challenges
Drive best practices for testing, observability, evaluation, and production readiness of AI systems

What we offer

health care
life and disability insurance
retirement savings
time-off programs
401(k)-retirement savings plan

Fulltime

Senior Staff Data Scientist (AI Solutions - Machines)

As a Data Scientist at CyberArk, you’ll join a team shaping the future of identi...

Location

Israel , Petah Tikva

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

2-4 years of hands-on experience as a Data Scientist, with proven ability in designing, building, and deploying solutions utilizing LLMs, RAG, or other Agentic AI frameworks
Msc degree from a university in Computer Science, Statistics, Mathematics, Engineering, Data Science or related field, with a thesis on Data Science. GPA above 85
Solid understanding of machine learning fundamentals and a strong grasp of data structures, algorithms, and probability
Demonstrated independent research capabilities and a self-driven approach to learning and problem-solving
Passion for solving meaningful problems and eagerness to learn in a fast-paced, collaborative environment
Strong communication skills and ability to explain technical concepts to different audiences

Job Responsibility

Research, design, Evaluate and production deployment of advanced AI/ML models, specializing in LLMs, RAG systems, and Agentic AI applications
Explore and analyze large-scale datasets to uncover patterns and drive actionable insights
Collaborate closely with product managers, engineers, and analysts to support feature development and validate ML ideas
Stay up to date with the latest academic and industry trends in AI/ML and apply best practices to real-world challenges
Grow your skills in classic machine learning, deep learning, natural language processing (NLP), LLMs and cybersecurity applications

Fulltime

Senior Staff Engineer, Applied AI

GEICO is seeking a Senior Staff Engineer, Applied AI to provide technical archit...

Location

United States , Chevy Chase, MD; Palo Alto, CA

Salary:

130000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

8 or more years of professional software engineering or applied machine learning experience
2 or more years working with Generative AI or LLM-based systems in production
Proven track record of architecting and delivering complex AI/ML capabilities that span multiple teams and have measurable business impact
Deep hands-on expertise with Python and modern AI frameworks including LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs, and emerging agentic frameworks
Demonstrated experience building and deploying production RAG (Retrieval-Augmented Generation) systems including document ingestion, chunking strategies, vector search, and context retrieval
Demonstrated experience designing and operating production AI systems including multi-agent architectures, intelligent automation, and workflow orchestration
Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation (RAG), vector databases, knowledge graphs, and semantic reasoning
Familiarity with Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP) for building interoperable AI systems
Experience ensuring platform scalability, cross-domain coherence, and alignment with AI platform capabilities and strategy
Strong expertise in distributed systems, microservices architecture, service design, performance optimization, and reliability engineering

Job Responsibility

Specify architectures and system decompositions for AI/ML capabilities that involve significant integrations and cross-team collaboration across multiple product areas
Provide technical architecture and leadership for medium to large, complex, cross-functional AI initiatives with visibility at the tech VP level
Architect and lead implementation of advanced Generative AI solutions including agent-based systems, intelligent automation, document intelligence, and decision support systems that span multiple business domains
Design and implement sophisticated agentic workflows that orchestrate multiple AI agents, tools, APIs, reasoning steps, and business logic to automate complex enterprise processes at scale
Question status quo with an eye for simpler designs and more secure approaches, influencing tech VPs to set direction for multiple teams
Build systems and platforms that meet the highest standards for scalability, resilience, performance, availability, security, and compliance
Identify and scope opportunities for automating business processes using AI across multiple product areas and business domains
Advance the state-of-the-art in applied AI by integrating knowledge graphs, vector reasoning, retrieval architectures, and multi-agent systems to solve complex business problems
Drive innovation by exploring new models, frameworks, reasoning techniques, and AI architectures and applying them strategically to high-impact business challenges
Run rigorous experimentation programs including hypothesis definition, A/B testing, measurement frameworks, and iterative improvement across production AI systems

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

Senior Staff Generative AI Engineer - VP

Senior Staff Generative AI Engineer– VP. At Citi, we are pioneering the future o...

Location

United States , New York

Salary:

142320.00 - 213480.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of professional software engineering experience, demonstrating a strong track record of designing, building, and delivering scalable enterprise-grade solutions in commercial production environments, not just proofs-of-concept
Expert-level proficiency in Python is a must-have, with a deep understanding of its ecosystem for AI/ML development, data engineering, and backend services
Extensive hands-on experience with Generative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks (e.g., LangChain, LangGraph, Google ADK
Optionally AutoGen, CrewAI, LlamaIndex, Semantic Kernel)
Deep comfort and practical experience with containers and orchestration technologies, specifically OpenShift
Demonstrated ability to architect, develop, and deploy highly performant, large-scale AI/ML systems into production environments
Strong understanding of modern software development principles, clean code practices, data structures, algorithms, and distributed systems
Proficiency with Relational (preferably, PostgreSQL) and Vector (preferably, pgvector) databases

Job Responsibility

Architect & Build Production Systems: Lead the hands-on development of sophisticated Generative AI applications, LLM-powered solutions, and intricate agentic frameworks primarily using Python
Pioneer Automation with Agents: Design and implement intelligent agents capable of understanding, reasoning, and orchestrating complex workflows to automate critical enterprise business processes
Master Containerized Deployments: Demonstrate deep comfort and expertise with container technologies, particularly deploying and managing applications within OpenShift environments
Drive Technical Direction & Ownership: Contribute significantly to the technical strategy and roadmap for Generative AI adoption
Champion Engineering Excellence: Instill and uphold rigorous software engineering best practices, including robust testing, code reviews, documentation, and continuous integration/delivery
Innovate & Research: Stay at the bleeding edge of Generative AI, actively exploring new models, techniques, and frameworks
Mentor & Collaborate: Act as a technical leader and mentor to junior engineers, fostering a culture of knowledge sharing and continuous improvement
Iterate & Deliver: Thrive in an agile, fast-paced environment, prioritizing rapid delivery, iterative development, and adaptability
Ensure Responsible AI: Design and implement robust guardrails and ethical considerations into AI solutions

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
Access to AI-assisted development tools like Devin and Copilot
Learning resources including Udemy for Business and Pluralsight
Flexible Work Environment: hybrid working model (3 days in-office, 2 days home)

Fulltime

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Senior Staff Data Engineer - Agentic AI

Job Description

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