Principal Edge AI Engineer Job at Beacon Hill (Newark)

Principal Software Engineer - Edge AI

The Edge AI group drives play a major role in Microsoft specialized clouds strat...

Location

Israel , Herzliya

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

At least 10 years of professional software engineering experience, with demonstrated ownership of complex systems
Proven expertise in software architecture, system design, and distributed systems
Proven ability to lead complex technical initiatives across teams without direct authority
3-5 years of experience with K8S
B.Sc. in Computer Science or equivalent
High profession level of technical judgment and ability to operate effectively in high-ambiguity environments
Ability to write professional, comprehensive technical documents
Proven understanding of the AI stack from Hardware to software
Relevant experience in corporates
Skills to leverage AI in coding, testing, building automation, and day-to-day work

Job Responsibility

Serves as a senior technical leader and architect within the organization
Driving architecture and system design across one or more major product areas or multiple teams
Tackling highly ambiguous technical problems and raising the engineering bar through technical leadership and mentorship
Leading critical architectural decisions
Partnering closely with engineering and product leadership
Delivering sustained, high impact technical outcomes
Act as AI Thought Leadership and Technical Foresight
Serve as a trusted source of technical insight into AI trends, technologies, and architectural patterns relevant to Edge AI
Actively track and evaluate developments in AI systems, model architectures, tooling, hardware acceleration, and industry direction
Synthesize external and internal signals into clear technical perspectives

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

Senior / Principal AI / ML Engineer

Are you passionate about shaping the future of AI-powered products? We are looki...

Location

Salary:

Not provided

Sigma Software Group

Expiration Date

Until further notice

Requirements

AWS / expert
SQL / expert
Machine Learning / expert
Agentic Programming / expert
Spec-driven Development / expert

Job Responsibility

Lead the standardization and scaling of AI implementation across a cutting-edge platform

What we offer

Diversity of Domains & Businesses
Variety of technology
Health & Legal support
Active professional community
Continuous education and growing
Flexible schedule
Remote work
Outstanding offices (if you choose it)
Sports and community activities

Principal AI Tooling Engineer

Design and develop testing frameworks for AI/ML models and LLM applications. Bui...

Location

United States , Santa Clara

Salary:

147000.00 - 237500.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related field
8+ years of experience in software engineering, QA automation, or ML engineering
Strong programming skills in Python (preferred) or similar languages
Experience with testing frameworks (e.g., PyTest, unittest)
Familiarity with machine learning concepts and model evaluation techniques
Experience working with APIs, distributed systems, and CI/CD pipelines
Knowledge of data structures, algorithms, and software design principles

Job Responsibility

Design and develop testing frameworks for AI/ML models and LLM applications
Build automated pipelines for model validation, regression testing, and benchmarking
Create evaluation datasets, synthetic data, and test scenarios for edge cases
Implement metrics to assess accuracy, robustness, latency, and safety
Develop tools for prompt testing, output validation, and hallucination detection
Collaborate with engineers, and product teams to define test strategies
Monitor model performance in production and build alerting systems
Ensure compliance with ethical AI standards, fairness, and bias testing
Debug model behavior and identify root causes of failures

What we offer

restricted stock units
bonus
employee benefits

Fulltime

Principal AI Software Engineer, Senior Vice President

Are you looking for a career move that will put you at the heart of a global fin...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Exceptional Python Expertise: Demonstrated mastery of core Python, including advanced features, performance optimization, and a deep understanding of the FastAPI framework
Prior hands-on experience with Generative AI, Large Language Model (LLM) frameworks (e.g. LangChain, LlamaIndex), and their application in enterprise environments is a must. This must be underpinned by a profound understanding of core machine learning principles, algorithms, and data science methodologies
Full Lifecycle Ownership: Extensive hands-on experience and technical authority throughout the entire software development lifecycle, from conceptualization and design to implementation, deployment, and operational ownership of enterprise software solutions, involving significant cross-functional collaboration
Strategic System Design: Significant hands-on experience in architecting and designing (architecture, design patterns, reliability, scaling) highly complex new and current systems with broad technical impact
Hands-on expertise with containerized deployment technologies (e.g. Kubernetes, OpenShift, Docker) and orchestration strategies
Hands-on experience and in-depth understanding of C++ is a significant bonus, particularly for complex code analysis, parsing, and integration into knowledge graph structures

Job Responsibility

Architect and implement cutting-edge software systems, defining the technical design for our AI solutions to ensure scalability, performance, and reliability
Drive the hands-on design, implementation, and deployment of sophisticated systems that automate the analysis of data, code, and documentation
Apply deep expertise to structure extracted knowledge within a Credit Risk Domain-aware knowledge graph, including advanced strategies for effectively modelling complex codebases, particularly C++, within this graph
Act as a critical technical partner with data scientists, business analysts, and other engineering teams to translate challenging business requirements into robust technical solutions and ensure successful, high-quality project delivery
Tackle the most complex technical challenges within our AI initiatives, providing solutions that set the standard for engineering excellence

What we offer

Generous holiday allowance starting at 27 days plus bank holidays
increasing with tenure
A discretional annual performance related bonus
Private medical insurance packages to suit your personal circumstances
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources

Fulltime

Principal Generative AI Engineer

We are seeking an exceptional Principal Generative AI Engineer to join our team ...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of progressive professional software engineering experience, with a significant portion dedicated to designing, building, and delivering highly scalable and impactful enterprise-grade solutions in commercial production environments, tackling complex, ambiguous challenges
Mastery in Python is non-negotiable, with a profound understanding of its ecosystem for advanced AI/ML development, complex data engineering, and robust backend services
Expert-level, 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 and strategic expertise with containerization and orchestration technologies, specifically OpenShift, including leading deployment strategies and troubleshooting complex production issues
Demonstrated ability to architect, lead development, and deploy highly performant, large-scale AI/ML systems, defining their long-term technical strategy and ensuring operational excellence
Exceptional understanding of modern software development principles, clean code practices, distributed systems, advanced data structures, and algorithms, with the ability to apply them to novel problems
Proficiency with Relational (preferably, PostgreSQL) and Vector (preferably, pgvector) databases
Bachelor’s degree in Computer Science, Information Technology or Engineering is required
a Master's degree is preferred

Job Responsibility

Define & Lead Architecture: Set the technical vision and architect sophisticated Generative AI applications, LLM-powered solutions, and intricate agentic frameworks
Strategize & Pioneer Automation with Agents: Drive the strategic direction for intelligent agent-based automation
Establish Containerization Best Practices: Possess expert-level comfort and leadership in container technologies, specifically defining and implementing best practices for deploying and managing mission-critical applications within OpenShift environments
Drive Strategic Technical Direction & Ownership: Own and drive critical technical initiatives from conception to production, influencing broad technical strategy and standards across multiple teams and product lines
Elevate Engineering Excellence: Act as a key driver for engineering excellence, establishing and upholding rigorous software development best practices
Innovate & Shape the Future: Stay at the absolute forefront of Generative AI, actively identifying strategic opportunities, exploring bleeding-edge models, techniques, and frameworks
Technical Thought Leadership: Act as a go-to technical expert, providing deep technical leadership, guidance, and mentorship across the organization
Overcome Ambiguity & Deliver: Thrive in an agile, fast-paced environment, taking ownership of highly ambiguous and complex problems
Lead Responsible AI Implementation: Architect and champion the implementation of robust guardrails, ethical considerations, and responsible AI governance into all solutions

What we offer

Define the Future & Impact at Scale: Lead critical, high-visibility projects that are transforming a global enterprise
Pioneer Cutting-Edge Technology: Drive the adoption and implementation of the latest Generative AI models, advanced agentic frameworks, and cloud-native technologies, amplified by state-of-the-art AI-assisted development tools like Devin and Copilot
Exceptional Growth & Technical Leadership: A culture of continuous learning, technical thought leadership, and opportunities to drive significant technical innovation
Benefit from extensive learning resources including Udemy for Business and Pluralsight
Highly Collaborative & Influential Environment: Join a highly skilled, passionate team where your technical expertise and strategic vision will be highly valued
Flexible Work Environment: Embrace a hybrid working model, balancing productive in-office collaboration (3 days) with the flexibility of working from home (up to 2 days)
Global Scale & Challenge: Tackle the most complex problems at a massive global scale

Fulltime

Principal Software Engineer, AI

We are seeking a visionary and hands-on Principal AI Engineer to be the foundati...

Location

India , Delhi

Salary:

Not provided

AlphaSense

Expiration Date

Until further notice

Requirements

12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems
Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar
Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment
Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing)
Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority

Job Responsibility

Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges
Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput
Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently
Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Principal Software Engineer, AI

We are seeking a visionary and hands-on Principal AI Engineer to be the foundati...

Location

India , Pune

Salary:

Not provided

AlphaSense

Expiration Date

Until further notice

Requirements

12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems
Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar
Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment
Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing)
Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority

Job Responsibility

Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges
Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput
Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently
Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

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Principal Edge AI Engineer

Job Responsibility

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