475 matching jobs for “Senior Principal AI Engineer”

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Bank of America

Principal Engineer - RAG Database & Embeddings Architect

Charlotte, North Carolina, United States

… search, indexing, metadata modeling, hybrid retrieval, relevance tuning, and performance optimization. This engineer will define how enterprise knowledge is represented, stored, retrieved, ranked, and refreshed for use by …

Added Oct 27, 2026

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Palo Alto Networks

Principal Infosec Engineer- Product Security Incident Response

Office - USA - CA - Headquarters

As a Principal PSIRT Engineer, you will play a critical role in protecting Palo Alto Networks products and services by …

Added Oct 27, 2026

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Salesforce

Principal, Industry Solution Engineer - Energy & Utilities

Singapore - Singapore

… you are not duplicating efforts. Job Category Sales Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets …

Added Oct 27, 2026

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RTX

Sr. Principal Artificial Intelligence Infrastructure Engineer (Onsite - Cedar Rapids, IA)

Cedar Rapids, Iowa, United States

… meet the demands of the global market. Join us and help shape the future of aerospace and defense. The AI Sandbox team within Applied Research & Technology (ART) is seeking an Artificial Intelligence (AI) …

Added Oct 27, 2026

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Amgen

Senior Principal Scientist, Skin Biology and Inflammation

South San Francisco, California, United States +1 location

… of the Amgen team. Join us and transform the lives of patients while transforming your career. R-259496 Senior Principal Scientist, Skin Biology and Inflammation What you will do Let’s do this. Let’s change the world. …

Added Oct 28, 2026

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Palo Alto Networks

Principal Engineer Software - Front End (Prisma AIRS)

Office - USA - CA - Headquarters

… Runtime Security) About the AIRS Team Palo Alto Networks is pioneering the world’s most comprehensive AI security platform through Prisma AIRS—protecting complex ecosystems of AI models, applications, and agents …

Added Oct 27, 2026

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Verizon

Dist Engr-AI Science

Bengaluru, Karnataka, India +1 location

Hybrid

1. Visionary Technical Leadership & AI Strategy Serve as the chief technical architect and visionary for all AI science initiatives related to …

Added Oct 27, 2026

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Principal Software Architect

Spring, Texas, United States +1 location

Full time
Reg Employee

Pay posted by employer$165,450–$259,750 USD per year

Principal Software Architect Description - HP is seeking a Principal Software Architect to define and guide the …

Added Oct 12, 2026

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Palo Alto Networks

Sr Principal Architect Engineer Software (Privileged Cloud Digital Vault - Idira)

Office - Israel - Petach Tikva

… solutions on AWS. Proven experience in agentic development, including the design and integration of AI-driven autonomous systems. Proficiency in Python, with practical experience leveraging Python libraries in …

Added Oct 27, 2026

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Salesforce

Lead/ Principal Forward Deployed Engineer, Arabic Speaking

United Arab Emirates - Dubai

Added Oct 27, 2026

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Palo Alto Networks

Sr. Principal Software Software (Prisma AIRS Runtime Security)

Office - USA - CA - Headquarters

Job Summary As a Sr Principal Software Engineer on the Prisma AIRS Runtime Security team, you will serve as a technical visionary and …

Added Oct 27, 2026

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Capital One Financial

AI Engineer 4 (Vision model (VLM) customization experience)

New York City, New York, United States +3 locations

… team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. …

Added Oct 27, 2026

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Cisco Systems

Principal Recruiter, Engineering

San Francisco, California, United States +4 locations

Pay posted by employer$145,400–$185,800

include: Full-cycle recruiting for business-critical roles across Hardware/ASIC and AI Software & Platform, shifting between specialties with minimal ramp time. Building pipelines ahead of …

Added Oct 28, 2026

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Nvidia

Principal Software Engineer - Rack Scale Systems Infrastructure

Santa Clara, California, United States +4 locations

… that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and …

Added Oct 27, 2026

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Nvidia

Principal System Software Engineer - CUDA Driver

Santa Clara, California, United States

We are hiring senior engineers to work on the CUDA driver, a core component of our platform for accelerating general purpose …

Added Oct 27, 2026

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GE HealthCare Technologies

Senior Software Engineer

FIN03-01-Helsinki-Kuortaneenkatu 2

… where every voice makes a difference, and every difference builds a healthier world. As an experienced Senior Software Engineer, you will define, develop, and maintain embedded product software as part of our sensor …

Added Oct 27, 2026

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Palo Alto Networks

Principal/ Senior Data Scientist - LLM Agents

Office - Israel - Tel Aviv

… on algorithmic design, large-scale deployment and monitoring. At least 4 years of experience as a software engineer with high proficiency in python and at least good familiarity with SQL. Deep understanding of probability, …

Added Oct 27, 2026

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Procter & Gamble

Senior Data Engineer

CINCINNATI GENERAL OFFICES

Pay posted by employer$132,200–$165,300 per year

As a Senior Data Engineer, you will be a technical leader and expert, responsible for architecting, designing, and …

Added Oct 27, 2026

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Visa

Senior Software Engineer

Basingstoke, England, United Kingdom

Build AI-driven automation that powers reliability at global scale. Work on real engineering problems, writing …

Added Oct 27, 2026

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Palo Alto Networks

Principal Engineer Software (Prisma AIRS Backend - Runtime Security)

Office - USA - CA - Headquarters

As a Principal Software Engineer on the Prisma AIRS Runtime Security team, you will serve as a technical visionary and …

Added Oct 27, 2026

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Bank of America

Principal Engineer - RAG Database & Embeddings Architect

Charlotte, North Carolina, United States

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Skills · employer excerpt

Automation
Influence
Result Orientation
Stakeholder Management
Technical Strategy Development

10 more in the full description below.

About this opportunity

Original employer description

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:
This job is responsible for defining and leading the engineering approach for solutions at the program or portfolio level, to deliver significant business outcomes. Key responsibilities include continuously improving the design, quality, and reuse of the solution and delivering technology enablers that improve development efficiencies for the solution. Job expectations include familiarity with at least one area of engineering, acting as a “go to” reference across the organization, and applying knowledge to improve technical competencies through recruitment and development activities.

Developer Experience (DevEx) provides enterprise technical standards and common technical services, platforms, and tools that are leveraged by delivery teams across all lines of business. Within the SDLC Software Delivery Lifecycle program, this role leads portfolio product delivery strategy and execution for enterprise software delivery capabilities, ensuring the right investments, operating model, governance, and prioritization are in place to improve how internal technical users build, test, and deliver software at scale.

The RAG Database & Embeddings Architect is responsible for designing, building, and governing the vector database and retrieval architecture that powers enterprise Retrieval-Augmented Generation systems. This role focuses on embeddings, vectorization strategies, semantic search, indexing, metadata modeling, hybrid retrieval, relevance tuning, and performance optimization.

This engineer will define how enterprise knowledge is represented, stored, retrieved, ranked, and refreshed for use by LLM-powered applications.

Responsibilities:

Develops the engineering approach for the entire program/portfolio solution and works with Architecture, to develop/analyze/deliver the implementation of technical enablers
Leads the planning, definition, and design of the complex features which span multiple teams and explore solution alternatives
Creates ideas on designing complex technology and solution development approaches
Leads the technical oversight for teams in solution development including design reviews and code within own domain
Defines the technology tool stack for the solution within ranged of internally approved and supported technologies
Explores state-of-the-art technologies to improve development efficiencies, quality of test/QA coverage, and release management
Leads and is responsible for the end-to-end test strategy/creation/adherence, and the integration between teams for a program/portfolio solution
Improve the experience for our developers, making it easier to deliver industry-leading solutions, while managing work efficiently and with the right controls
Advance our technology platforms through innovation
Reduce risk and improve quality across our technology portfolio by aligning to a single enterprise architecture strategy and delivering governance that enables consistency, integration and automation
Design and own the architecture for enterprise RAG data stores, including vector databases, document stores, metadata stores, and hybrid search layers.
Define embedding strategies across structured, semi-structured, and unstructured content.
Evaluate and select embedding models based on accuracy, latency, cost, domain fit, multilingual needs, and operational constraints.
Design vectorization workflows including chunking, embedding generation, indexing, versioning, and re-embedding lifecycle management.
Implement semantic, keyword, metadata-filtered, and hybrid retrieval patterns.
Optimize retrieval quality using similarity metrics, reranking, query expansion, metadata boosting, and relevance feedback.
Establish standards for vector schema design, namespace strategy, document lineage, source attribution, and access-control-aware retrieval.
Partner with data pipeline engineers to ensure ingestion processes produce high-quality, retrievable content.
Partner with context engineers to tune retrieval outputs for downstream LLM consumption.
Define observability for retrieval quality, including recall, precision, latency, cost, freshness, and hallucination risk indicators.
Lead technical evaluation of vector database platforms and retrieval frameworks.
Provide engineering leadership, design reviews, mentoring, and architectural guidance across AI platform teams.
Serve as a senior technical authority for enterprise AI platform engineering.
Own architecture decisions that impact multiple teams, systems, or domains.
Create reusable patterns, reference architectures, standards, and engineering guardrails.
Mentor senior engineers and influence technical direction without requiring direct reporting authority.
Balance innovation with operational reliability, security, compliance, scalability, and cost management.
Communicate complex AI and data engineering concepts clearly to engineering, product, risk, security, and executive stakeholders.

Required Qualification:

10+ years of software engineering, data engineering, platform engineering, or AI engineering experience.
5+ years designing large-scale enterprise systems.
2+ years working with LLM, RAG, vector search, semantic search, or AI platform capabilities.
Experience operating systems in regulated, security-conscious, or enterprise-scale environments.
Extensive experience designing production-grade search, indexing, or database systems.
Strong understanding of vector databases, embeddings, similarity search, approximate nearest neighbor algorithms, and retrieval optimization.
Experience with RAG architectures and enterprise-scale knowledge retrieval.
Hands-on experience with platforms such as Azure AI Search, Cosmos DB vector search, Pinecone, Weaviate, Milvus, OpenSearch, Elasticsearch, PostgreSQL/pgvector, or equivalent.
Experience with embedding models from providers such as OpenAI, Azure OpenAI, Cohere, Hugging Face, or open-source model ecosystems.
Strong background in distributed systems, database design, API design, and performance tuning.
Experience designing metadata models, access control filtering, document provenance, and auditability.
Ability to define engineering patterns and standards used across multiple teams.
Proven ability to lead architecture across multiple engineering teams.
Strong written and verbal communication skills.
Bachelor’s degree in Computer Science, Engineering, Information Systems, Applied Mathematics, or a related technical field

Desired Qualifications:

Experience with hybrid retrieval, reranking models, knowledge graphs, or entity-aware retrieval.
Experience supporting regulated or enterprise environments with security, compliance, lineage, and privacy requirements.
Experience with LLM evaluation, retrieval evaluation, and automated relevance testing.
Familiarity with model drift, embedding drift, and re-indexing strategies.
High-quality retrieval architecture that improves LLM answer accuracy and reduces hallucinations.
Scalable vector database strategy supporting multiple enterprise domains.
Clear standards for embeddings, metadata, indexing, and retrieval evaluation.
Measurable improvements in retrieval precision, recall, latency, and cost efficiency.
Enterprise architecture
Distributed systems design
AI platform engineering
Data governance and security
Cloud-native engineering
Observability and operational excellence
Technical strategy and roadmap development
Cross-functional influence
Vendor and platform evaluation
Production support and continuous improvement

Skills:

Automation
Influence
Result Orientation
Stakeholder Management
Technical Strategy Development
Application Development
Architecture
Business Acumen
Risk Management
Solution Design
Agile Practices
Analytical Thinking
Collaboration
Data Management
Solution Delivery Process

Shift:

1st shift (United States of America)

Hours Per Week:

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