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

Senior Staff Machine Learning Engineer

Help design our AI platform and develop our next generation of machine learning ...

Location

United States , San Francisco

Salary:

216500.00 - 324500.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields
Experience emphasizing secure, large-scale, distributed system design, AI/ML pipeline development, and implementation
Extensive experience designing, developing, and operating scalable backend systems
Experience applying software engineering best practices such as domain-driven design, event-driven architectures, and microservices
Deep expertise in agentic workflows, AI evaluation solutions, prompt management, and secure AI development and testing practices
Strong knowledge of relational and document-based databases, data storage paradigms, and efficient RESTful API design
Experience establishing robust CI/CD pipelines, automated testing (unit and integration), and deployment practices
Strong leadership skills, including effective planning and management of complex projects, mentoring of team members, and fostering a collaborative, high-performing engineering culture
Excellent communicator, able to articulate complex technical concepts clearly to both technical and non-technical stakeholders
Bachelor's degree in Computer Science, Software Engineering, or a related technical field (preferred)

Job Responsibility

Design and implement AI platforms to enable scalable and secure access to LLMs from multiple model providers for diverse use cases
Design and implement agentic workflows, agentic tool ecosystems, and LLM prompt management solutions
Design, build, and optimize scalable model training, fine tuning, and inference pipelines, ensuring robust integration with production systems
Influence technical strategy and approach to developing embedding stores, vector databases, and other reusable assets
Lead initiatives to streamline ML and AI workflows, improve operational efficiency, and establish standardized procedures to achieve consistent, high-quality results across our AI systems
Design and develop backend services and RESTful APIs using Python and FastAPI, integrating seamlessly with ML pipelines and services
Take operational responsibility for team-owned services, including performance monitoring, optimization, troubleshooting, and participation in an on-call rotation
Collaborate with both technical and non-technical colleagues, including data and applied scientists, software engineers, product managers, and business stakeholders, to deliver reliable and scalable ML-driven products
Coach and mentor fellow ML engineers, promoting a culture of collaboration, continuous improvement, and engineering excellence within the team
Employ a diverse set of tools and platforms including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, Coralogix, and GitHub to build, deploy, and maintain scalable, highly available machine learning infrastructure

What we offer

Competitive pay
Comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning
Generous parental leave
Flexible time-off policies
Mental health and wellness resources
Learning, development, and recognition programs

Fulltime

New

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

New

Principal Software Engineer, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

232000.00 - 319000.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

10+ years software engineering experience with 3+ years in Staff or Principal Engineer roles
Deep expertise in AI/ML technologies with hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools
Strong understanding of LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, agent orchestration frameworks, and practical applications of AI in software development workflows
Proven track record of architecting and building highly scalable distributed systems and developer-facing platforms
Production experience with modern cloud-native infrastructure including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines
Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals
Experience designing developer tools, platform engineering systems, or internal tools that enable other teams
Exceptional product and platform mindset considering business outcomes, developer experience, and technical trade-offs
Strong communication skills with ability to influence technical and non-technical stakeholders across the organization
Track record of technical mentorship and elevating engineering teams' capabilities

Job Responsibility

Define the long-term technical vision and architecture for AI-powered developer tools and the self-service platform that enables teams to build their own AI agents
Establish architectural patterns, technical standards, and best practices for LLM integration, AI agent development, and production AI systems serving developers
Lead technical strategy for platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools
Design highly available, scalable infrastructure for hosting AI agents and developer tools with predictable performance and intelligent resource management
Drive technical decisions on AI technology choices, LLM provider strategies, prompt engineering approaches, and agent orchestration frameworks
Partner with Senior Manager and product leadership to align technical architecture with business objectives and productization opportunities
Architect and build production-ready AI agents for developer productivity including code review assistants, test generators, deployment diagnostics, and incident response automation
Design and implement the self-service platform infrastructure that reduces time-to-production for new AI tools from weeks to days
Build systems that accelerate adoption of AI-native development tools (Claude Code, Cursor, Warp) across Docker's engineering organization
Establish reliability, security, and performance standards for AI systems including SLOs, monitoring, incident response, and cost management

What we offer

Freedom & flexibility
fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
we want you comfortable while you work
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity

Fulltime

Head of Data, Automation & AI

Knovia Group, the UK’s leading apprenticeship provider, is on a bold mission to ...

Location

United Kingdom

Salary:

90000.00 GBP / Year

Paragon Skills

Expiration Date

Until further notice

Requirements

Degree in computer science, data science, engineering, a related field or equivalent professional training/qualifications
Strong CPD record keeping abreast of latest in data architecture, governance, cloud data platforms, advanced analytics, connected systems, and development of AI agents
Proven experience in data platform strategy, AI/ML enablement, or data transformation at scale
5+ years' Senior experience in a data scientist, data engineer or developer role
3+ years' leading a function
Experience in a senior data, AI, or digital transformation leadership role
Track record of delivering enterprise-scale data infrastructure and AI/automation initiatives
Strong understanding of data architecture, governance, and cloud data platforms (e.g., Snowflake, Databricks, AWS/GCP, MS Fabric)
Deep expertise in cloud-based data architectures (e.g., AWS, Azure, or GCP), data engineering, and MLOps
Familiarity with tools like Databricks, Snowflake, MLflow, Airflow, dbt, and LLM technologies would be advantageous

Job Responsibility

Lead the development of a modern data platform (data lake, warehouse, pipelines, BI suite)
Automating and integrating end-to-end business processes using tools like Workato
Developing and deploying AI agents to enhance operational efficiency and learner/employer experiences
Enhancing our analytics capabilities to better understand and serve our customers
Shape our internal AI capability — from staff skills to leadership development

What we offer

Generous Annual Leave: 21 days, increasing with length of service, plus a holiday purchase scheme
Holiday Benefits: 3 Knovia Days for our operational December closure and 8 Public Bank Holidays
Extra Day Off: Enjoy an additional day off to celebrate your birthday
Paid Volunteering Leave: Up to 3 days of paid leave for volunteering opportunities and corporate conscience initiatives
Perkbox: Access to a wide range of lifestyle benefits and wellness tools
Recognition and Long Service Awards: Celebrating the milestones and contributions of our colleagues

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

New

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

Fulltime

Staff Engineer-Applied AI

Join us as a Staff Engineer-Applied AI. At Barclays, we don’t just adapt to the ...

Location

India , Bengaluru

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

A Bachelor’s degree (or above) in computer science, engineering, mathematics, or a related discipline
Experience in developing software applications for scale on cloud(AWS or Azure or GCP)
Fluent in Python or Java or GoLang programming language and frameworks
Hands-on experience in GenAI and Agentic AI frameworks such as LangGraph/LangChain, CrewAI, Strands SDK, Google ADK etc.
Familiarity on working with MCP and A2A protocols
Solid understanding of working with LLM Models, writing prompts efficiently that provides accurate context for LLM Agents
Hands-on experience in developing and deploying Agentic AI solutions using cloud native services like AWS Bedrock or Azure AI Foundry or GCP Vertex AI
Strong understanding of AI implementation in software development and legacy code transformation
Experience in developing APIs and integrating LLM models into software applications
Ability to work on system design from ideation through completion with limited supervision

Job Responsibility

Lead the development of GenAI & Agentic AI systems & solutions to build intelligent conversational AI and workflow automation for specific business domains
Design and develop Full-Stack Multi Agentic AI systems using Agentic AI frameworks, LLMs and technologies, build function tools and integrate them with Back-End systems using REST-API, MCP or A2A protocols
Design, develop and Expose Agentic AI back-end, wrap existing back-end systems with MCP Servers to other agentic front-end and agentic back-end systems
Apply context engineering techniques such as context caching, context compression etc... to improve model’s (LLM) performance and response times
Implement guardrails & policy enforcement for safety and security risks that are required to duly comply with the organization’s data privacy and security standards
Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization
Communicate effectively with both technical and non-technical stakeholders, including senior leadership
Develop and maintain tools and frameworks for prompt-based model training, evaluation, and optimization
Analyze and interpret data to evaluate model performance and identify areas of improvement
Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution
Modern workspaces, collaborative areas, and state-of-the-art meeting rooms
Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations
Health and wellness
A place where you can belong
More than work

Fulltime

New

Senior Software Engineer - Gen AI

Wells Fargo is seeking a Senior Software Engineer to join our team to drive digi...

Location

India , Bengaluru

Salary:

Not provided

Wells Fargo

Expiration Date

February 24, 2026

Requirements

4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Proven hands-on software development expertise in designing and delivering high‑performance, large‑scale, distributed applications
2+ Years of experience in building AI/GenAI solutions driving innovation
Strong background in AI, Machine Learning, GenAI, or Data Science, including retrieval systems, embeddings, chunking strategies, and agentic AI workflows
Basic hands-on experience building or supporting AI‑powered applications in enterprise environments, with exposure to RAG concepts, LLM APIs, and low‑code GenAI tools (such as Copilot Studio or equivalent)
Basic experience implementing observability and monitoring for AI systems (logs, traces, metrics, token usage, latency, and error tracking)
Ensure responsible AI and security controls—guardrails, PII filtering, DLP, red-teaming, and safe deployment practices
Good understanding of AI and ML algorithms, spanning supervised/unsupervised learning, deep learning, transformers, optimization methods, and practical application of these techniques in production systems
2+ years experience using Git or other version control systems

Job Responsibility

Lead moderately complex initiatives and deliverables within technical domain environments
Contribute to large scale planning of strategies
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

Fulltime

!

Senior Staff Data Engineer - Agentic AI

Amex

Location:
India , Bengaluru Urban ▼
CHENNAI

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 21, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Senior Staff Data Engineer - Agentic AI

Senior Staff Machine Learning Engineer

Staff Data Engineer - Agentic AI

Principal Software Engineer, AI Developer Tools

Head of Data, Automation & AI

Senior Staff Data Engineer- ML & AI Platform

Senior Staff Data Engineer- ML & AI Platform

Staff Engineer-Applied AI

Senior Software Engineer - Gen AI

Senior Staff Data Engineer - Agentic AI

Amex

Location:India , Bengaluru Urban ▼CHENNAI

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:February 21, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Senior Staff Data Engineer - Agentic AI

Senior Staff Machine Learning Engineer

Staff Data Engineer - Agentic AI

Principal Software Engineer, AI Developer Tools

Head of Data, Automation & AI

Senior Staff Data Engineer- ML & AI Platform

Senior Staff Data Engineer- ML & AI Platform

Staff Engineer-Applied AI

Senior Software Engineer - Gen AI

Location:
India , Bengaluru Urban ▼
CHENNAI

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
February 21, 2026