Lead integration engineering efforts, designing, developing, and implementing robust integration solutions across enterprise platforms and cloud services.
Locations (3)
McLean, Virginia, United States
Plano, Texas, United States
Richmond, Virginia, United States
Compensation
McLean, VA: $200,700 - $229,100 for Integration Engineer 5
Plano, TX: $182,500 - $208,300 for Integration Engineer 5
Richmond, VA: $182,500 - $208,300 for Integration Engineer 5
Responsibilities
Work with product owners to understand desired application capabilities and testing scenarios
Work within and across Agile teams to design, develop, test, implement and support technical solutions across a full stack of development tools and technologies
Lead the craftsmanship, availability, resilience and scalability of your solutions
Design, develop, and implement robust integration solutions that connect diverse enterprise applications, including core business platforms like Salesforce CRM and Google Cloud services (GCP)
Requirements
Bachelor's Degree in Computer Science, Engineering, or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics)
Lead and architect large-scale infrastructure solutions, driving strategy and standards across platforms and services.
Compensation
Base salary offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Base salary is only part of the total rewards package, which may include eligibility for an annual discretionary incentive award.
Responsibilities
Demonstrate leadership across technology stacks
Ensure adherence to approved patterns and technology standards
Serve as primary technical owner for key initiatives
Drive technical strategy, patterns, and standards across platforms, services, and integrations
Requirements
Bachelor's degree in computer science engineering or a related discipline
Nice to have: experience in the securities or financial services industry
A high-impact, cross-functional role designed to accelerate the customer journey from initial acquisition to successful platform adoption and expansion on the Snowflake AI Data Cloud. The Team Lead leads a group of account engineers partnering with enterprise customers to drive successful adoption and growth.
Responsibilities
Lead a group of account engineers who partner with Snowflake's enterprise customers to drive successful adoption and growth of the Snowflake AI Data Cloud.
Drive initial utilization, leveraging modern AI-powered tools and coding agents to ensure technical success.
Act as a player/coach and lead a team of account engineers.
Manage a portfolio of new and early customers.
Partner with regional leadership on sales strategy and initiatives.
Design, build and deploy AI-powered applications to support M&A and transaction advisory.
Responsibilities
Partner with deal teams to identify high-impact AI opportunities
Design, build and deploy AI-powered applications using large language models, retrieval-augmented generation, agentic workflows and modern AI engineering practices
Deliver prototypes and shipping working solutions within tight deal timescales
Collaborate directly with clients and engagement teams to adapt solutions to transaction-specific needs
Integrate AI solutions with internal and external data sources, APIs and business workflows
Requirements
Degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field
Fullstack AI Data Engineer responsible for designing and operating data infrastructure for agentic, LLM-based solutions in a highly regulated healthcare environment.
Responsibilities
Collaborate with AI engineers, data scientists, product owners, and other developers to integrate LLMs into scalable, robust, fair, and ethical end-user applications
Design and implement scalable, high-performance data pipelines for AI/GenAI applications
Work with vector and graph databases to enable similarity search and multi-hop reasoning
Build and maintain cloud-based data solutions using AWS or Azure
Design and optimize data storage and processing using Snowflake
Requirements
B.Sc., B.Eng., or higher, or equivalent in Computer Science, Data Engineering or related fields
Nice to have: Regulatory compliance experience
Nice to have: Data Science and classical ML background
Nice to have: Distributed data processing (Apache Spark, Flink)
Lead and mature security capabilities, integrate AI and automation into security workflows, manage security tools, and guide security operations across Chipotle’s technology environment.
Locations (2)
Newport Beach, California, United States
Columbus, Ohio, United States
Compensation
A reasonable estimate of the current base pay range for this position is $116,000.00–$162,500.00. You are also eligible for annual cash bonuses and equity awards based upon performance and other factors.
Responsibilities
Evangelize IT and AI security fundamentals, tools, processes, and act as a consultative partner with IT and Business teams
Develop, integrate, and improve automated, AI-enabled, and agentic security workflows
Perform IT security assessments and remediation activities
Manage a suite of IT security tools
Provide analysis of external and internal risk assessments
Staff Data Engineers are expert problem-solvers, builders, and technical leaders who design and evolve platforms powering next-generation AI and data-driven applications.
Responsibilities
Act as a key technical contributor in stakeholder discussions to clarify requirements and drive architecture and design decisions
Design and deliver scalable, resilient platforms and services supporting AI/GenAI applications and data-driven systems
Translate functional requirements into end-to-end system architectures, leveraging established design patterns
Build and integrate applications with large language model providers such as OpenAI and Anthropic
Design and implement GenAI workflows, including prompt orchestration, context handling, and system integration layers
Requirements
Bachelor's degree
advanced degree
Nice to have: LLM providers such as OpenAI, Anthropic
Lead the design, development, and deployment of advanced data engineering solutions across multiple business domains, guiding teams and influencing stakeholders to build reusable frameworks and scalable components.
Compensation
$120,000 - $217,500 Annual
Responsibilities
Lead the design, development, and deployment of solutions across use cases such as document processing, intelligent agents, and automation frameworks
Collaborate with cross-functional teams to translate business needs into data-driven workflows using modern orchestration tools
Promote responsible practices including security, compliance, and explainability, while ensuring robust deployment
Establish reusable frameworks, evaluation pipelines, and scalable components to accelerate adoption and maintain consistency
Prioritize initiatives, manage delivery timelines, and align efforts with enterprise goals
Requirements
Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics, or a related field
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