Principal Platform Engineer - Data & AI Job at ResMed (San Diego)

Principal Data Platform Engineer Vice President

We are seeking an exceptionally skilled and motivated Principal Data Platform En...

Location

United States , Irving; Jacksonville

Salary:

125760.00 - 188640.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6+ years of relevant experience in Apps Development or systems analysis role with extensive Python and/or big data expertise
Python/Pyspark Mastery
Big Data Technologies & Platforms: Extensive experience (8+ years) architecting, designing, implementing, and managing solutions within distributed data processing platforms, specifically with the Hadoop ecosystem (preferably Cloudera distributions). Proficient in leveraging key big data components such as distributed file systems (e.g., HDFS), data warehousing solutions (e.g., Hive), data transformation frameworks (e.g., Pig), and data ingestion tools (e.g., Sqoop), alongside hands-on experience with NoSQL databases (preferably MongoDB)
ETL Architecture & Development: Proven ability to architect, design, and implement highly scalable data pipelines. Extensive experience leveraging industry-standard ETL tools and frameworks for efficient data extraction, transformation, and loading into various relational databases and data warehouses, coupled with a strategic vision and planning experience for migrating to cloud-native, serverless ETL solutions
Data Architecture & Strategic Modeling: Understanding of advanced data modeling principles and practical experience in data warehouse design and development, ensuring data integrity, scalability, security, and optimal performance
AI-Powered Development: Ability to leverage advanced AI tools, such as Devin, for efficient code refactoring, optimization, and identifying potential code improvements, thereby enhancing code quality and developer productivity
DevOps, Version Control & Containerization: CI/CD pipelines, Git, Docker and Kubernetes
Extensive experience system analysis and in programming of software applications
Experience in managing and implementing successful projects
Subject Matter Expert (SME) in at least one area of Applications Development

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
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

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

Principal Data Genai Platform Engineer - Senior Vice President

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

12+ years of relevant experience in enterprise application development, data engineering, or AI platform engineering, with a strong track record of leadership in regulated environments
8+ years of experience leading multi-team Agile organizations (20+ engineers), including managing distributed and hybrid AI-assisted teams
Advanced expertise in Python, PySpark, and Databricks ecosystem for large-scale data processing and ELT/ETL pipelines
Proven experience architecting and implementing enterprise AI/GenAI platforms, including agentic AI frameworks, LLM integrations, and prompt engineering
Hands-on experience with AI-assisted development tools such as Devin.AI and GitHub Copilot and integrating them into engineering workflows
Strong experience with microservices architecture, APIs, and cloud-native deployment (Kubernetes/OpenShift)
Strong experience with event-driven architectures and streaming platforms (Kafka)
Deep understanding of data architecture, data mesh, data federation, and regulatory data requirements
Exceptional leadership, communication, stakeholder management, and decision-making capabilities
Experience with cloud platforms (AWS, Azure, GCP, Databricks) and modern data ecosystems

Job Responsibility

Lead multiple agile scrum teams comprising ~15+ engineers, including hybrid teams of human engineers and AI-assisted development (Devin.AI, Copilot), ensuring delivery excellence and alignment with business priorities
Define and execute the enterprise strategy for Python engineering, AI agent platforms, and full-stack data applications, aligned with Retail and Wealth Risk objectives
Serve as the senior architect and technical authority for enterprise-scale AI agents, data engineering pipelines, and microservices-based applications, ensuring scalability, resilience, and security
Drive the adoption and operationalization of AI Product Development Lifecycle (AI PDLC), including model governance, evaluation, deployment, monitoring, and compliance with Model Risk Management (MRM)
Lead development of high-volume data pipelines and data federation layers using PySpark, Databricks, Kafka, and Data Mesh architecture to support regulatory reporting (CCAR, FDIC) and risk analytics
Architect and oversee GenAI agent ecosystems using LLMs (Google ADK, Gemini/Flash), implementing Human-in-the-Loop (HITL) frameworks to ensure explainability, auditability, and compliance
Drive AI-augmented software development lifecycle, integrating tools such as Devin.AI, GitHub Copilot, and MCP platforms through advanced prompt engineering and governance guardrails
Lead microservices and cloud-native architecture using FastAPI/Spring Boot, Kubernetes/OpenShift, and CI/CD pipelines, ensuring high availability and performance
Drive engineering efficiency and standardization by reusing and repurposing enterprise-level frameworks, platforms, and tools, reducing duplication and accelerating delivery across teams
Ensure all engineering solutions incorporate data governance and non-functional requirements, including Data Quality (DQ), data lineage, data tracing, and auditability, aligned with enterprise governance processes and regulatory expectations

Fulltime

Principal Software Engineer, Financial Data Platform & GenSearch Agent

At AlphaSense, GenSearch is a production, customer-facing generative AI system d...

Location

United States

Salary:

246000.00 - 339000.00 USD / Year

AlphaSense

Expiration Date

Until further notice

Requirements

12+ years building and operating production systems
Experience operating at a Staff or Principal level
Proven ability to simplify complex systems and reduce architectural entropy
Strong background in distributed systems and performance optimization
Experience building AI-integrated systems (LLM orchestration, tool usage, retrieval, evaluation)
Comfortable working across backend systems and modern frontend frameworks (e.g., React)
Experienced designing APIs and durable service contracts
Effective at driving cross-team technical initiatives

Job Responsibility

Improve AI & Performance
Optimize orchestration between LLM workflows, structured datasets, and services
Introduce performance benchmarks, observability standards, and SLO discipline
Improve reliability and correctness of AI-backed financial responses
Simplify Architecture
Reduce fragmentation across datasets and services
Partner with data platform teams to define scalable dataset integration patterns
Remove legacy complexity while continuing to ship
Build & Evolve Web Products
Contribute directly to backend and frontend systems powering financial data experiences

Fulltime

Principal Software Engineer - Data, Personalization - Microsoft AI

As Microsoft continues to redefine the future of AI, we are seeking passionate e...

Location

United States , Redmond

Salary:

163000.00 - 296400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
4+ years' experience building scalable services, including securing applications and infrastructure on top of cloud infrastructure like Azure, AWS, or GCP
3+ years' experience in OSS data technology, such as Kafka, Spark, Flink
Experience with large scale data systems
Experience working with AI platforms, frameworks, and APIs
Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally
Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience
Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers
Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI
Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines

Job Responsibility

Architect scalable, low-latency systems for ingesting, processing, and serving personalized signals
Design data models and APIs that enable Copilot to reason about user context, preferences, and history
Build real-time and batch personalization engines that adapt Copilot’s behavior
Collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled
Optimize for performance, reliability, and cost across diverse workloads and geographies
Ship high-quality, well-tested, secure, and maintainable code
Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively
Enjoy working in a fast-paced, design-driven, product development cycle
Embody our Culture and Values

Fulltime

Principal Ai Engineer - Enterprise Ai Solutions

Our Mission: At Palo Alto Networks®, we’re united by a shared mission—to protect...

Location

United States , Santa Clara

Salary:

185200.00 - 299475.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

Bachelor's degree in a related field or equivalent military experience required
12+ years of related experience, or a Master's degree with 8 years of experience, or a PhD with 5 years of experience
Proven expertise in designing and building complex, enterprise-grade AI/ML platforms and applications
Direct hands-on experience with Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI systems
Strong programming skills in languages such as Python, Java, or Go and proficiency in modern AI/ML frameworks (e.g., TensorFlow, PyTorch)
Extensive hands-on experience with distributed systems architecture, streaming data platforms, and cloud AI/ML platforms (e.g., GCP Vertex AI, AWS SageMaker)

Job Responsibility

Lead the applied AI solution design and architecture, breaking down ambiguous business problems into concrete, actionable AI solution designs
Drive the hands-on development and implementation of key AI components, supporting both traditional and Generative AI model development and deployment
Contribute significantly to the detailed design of large-scale, distributed AI/ML systems, ensuring performance, reliability, and security
Proactively collaborate with executive leadership, data science, engineering, and product stakeholders to translate business use-cases into scalable AI solutions
Provide technical leadership and mentorship to other AI/ML engineers, fostering a culture of engineering excellence and hands-on experimentation
Lead the implementation and continuous improvement of MLOps pipelines, including automated model training, versioning, deployment, and monitoring
Champion and enforce design standards, patterns, and best practices for scalable and secure development of AI applications across various teams
Actively research and evaluate cutting-edge AI/ML techniques, algorithms, and models to identify opportunities for platform enhancement and new solution development

What we offer

Restricted stock units
Bonus

Fulltime

Sr. Distinguished AI Engineer (Agentic AI Platform)

At Capital One, we are creating responsible and reliable AI systems, changing ba...

Location

United States , San Jose, California; San Francisco, California

Salary:

343400.00 - 392000.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies
At least 10 years of experience programming with Python, Go, Scala, or Java
9 years of experience deploying scalable and responsible AI solutions on cloud platforms
2+ years of experience supporting Agentic Frameworks
2+ years of experience with LLMOps
8+ years of experience designing mission-critical machine learning platforms
2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems
Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level
Experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, or Golang
Master's degree in Computer Science, Computer Engineering, or relevant technical field

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
Contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs
Standardizing and automating agentic workflows
Contribute to crafting an end to end GenAI SDK, CLI and starter kits
Help bring together a vision of central guardrail services
Collaborate with cross organization architects to drive end to end performance
Accelerate innovation by incubating proof of concepts and driving RFCs
Own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs
Coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences

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

Principal AI Engineer

Location

Canada , Mississauga

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Experience: Extensive experience in designing and building AI/ML solutions, with a significant focus on generative AI and Large Language Models (LLMs)
Gen AI Expertise: Deep understanding of modern AI architectures and techniques, including Retrieval-Augmented Generation (RAG), fine-tuning, function calling, and AI agentic workflows
Programming Proficiency: Expert-level skills in Python and extensive experience with core AI/ML libraries such as PyTorch, TensorFlow
System Design: Proven ability to architect and develop large-scale, distributed, multi-tier applications. Strong knowledge of microservices, API design, and system integration
MLOps: Solid understanding of MLOps principles and experience with tools for model versioning, deployment, monitoring, and lifecycle management
Leadership: Demonstrated experience serving as a technical lead, architect, or principal engineer, with a track record of mentoring team members and driving projects to completion

Job Responsibility

Architectural Leadership: Design and architect end-to-end generative AI solutions, from proof-of-concept to production, ensuring scalability, performance, and reliability
Technical Strategy: Develop and maintain a comprehensive strategic roadmap for generative AI adoption, evaluating new models, techniques, and platforms to keep our capabilities at the forefront of the industry
Solution Development: Lead the hands-on development of complex AI systems, including Retrieval-Augmented Generation (RAG) pipelines, autonomous AI agents, fine-tuning workflows, and custom model integrations
Best Practices & Standards: Establish and govern best practices for the full AI development lifecycle, including prompt engineering, model evaluation, MLOps, and data management
Cross-Functional Partnership: Collaborate closely with multiple management teams and business units to identify high-impact use cases and ensure the successful integration of AI solutions to meet business goals
Mentorship & Guidance: Serve as a senior advisor and coach to other engineers and analysts, fostering a culture of innovation and technical excellence. Allocate work and provide technical direction to the team
Risk & Compliance: Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding its clients and assets. Drive compliance with all applicable laws, rules, and regulations, particularly those related to AI ethics, data privacy, and model bias
Innovation and Research: Stay abreast of the latest advancements in generative AI research, and translate state-of-the-art developments into practical, innovative solutions

Fulltime

Principal Data Engineer

Build the data foundation that powers analytics, AI, and enterprise decision-mak...

Location

United States , Des Moines

Salary:

180000.00 - 225000.00 USD / Year

Robert Half

Expiration Date

Until further notice

Requirements

10+ years of experience in data engineering, including large-scale architecture ownership
Strong programming skills in Python and experience with tools like Spark, Kafka, or similar
Expertise building batch and streaming pipelines in cloud environments (AWS preferred)
Deep knowledge of data modeling for both transactional and analytical systems
Hands-on experience with Snowflake, Redshift, or modern data platforms
Strong understanding of data governance, privacy, and secure data design
Experience with ETL frameworks, testing, and CI/CD-driven data workflows
Ability to clearly communicate technical strategy and tradeoffs to senior stakeholders

Job Responsibility

Design and build a modern data platform across ingestion, transformation, storage, and consumption
Develop scalable batch and real-time pipelines across diverse data sources (relational, event, document)
Establish data architecture standards, modeling practices, and engineering frameworks
Create secure, multi-tenant data environments with strong governance and access controls
Build data models and serving layers for reporting, self-service analytics, and AI workloads
Evaluate and implement cloud data technologies for performance, cost, and scalability
Partner with engineering and business leaders to align data strategy with company priorities
Guide vendors and external partners while enforcing internal data standards and quality

What we offer

SIGNIFICANT bonus and or equity potential
Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance
Eligible to enroll in our company 401(k) plan

Fulltime

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Principal Platform Engineer - Data & AI

Job Description

Job Responsibility

Requirements

What we offer

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