Sr Staff Ai Engineer Jobs

2 open positions found · Salary range: $110,000 - $300,000

View Sr Staff Engineer- Availability and Incident Managment
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Sr Staff Engineer- Availability and Incident Managment

GEICOBethesda, MDonsite

From $110,000/yr

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Position Summary GEICO is seeking an experienced Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and applications. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission, while co-creating the culture of psychological safety and continuous improvement. Position Description The Senior Staff Engineer in Availability and Incident Management will engineer solutions and empower the engineering community with automated processes, data-driven insights, and technical tools that reduce incident recurrence, improve system reliability, and accelerate incident resolution. This role will be heavily centered around building automation platforms to streamline postmortem workflows, eliminate manual tracking, and provide fast feedback loops for incident prevention. You will lead the strategy and execution of a technical roadmap that increases the velocity of incident resolution, reduces repeat incidents, and unlocks new reliability engineering capabilities. The ideal candidate has broad and deep technical knowledge in incident forensics, root cause analysis, automation platforms, distributed systems, observability, and data analytics. Position Responsibilities As a Senior Staff Engineer, you will: * Lead the strategy and execution for incident retrospective and correction of error (COE) processes across the engineering organization * Help conduct deep technical root cause analysis and incident forensics across distributed systems using observability data, logs, metrics, and traces * Establish continuous improvement loops through automated trend analysis, pattern recognition algorithms, and predictive analytics * Design, code, and deploy automation platforms and self-service tools using Python, Go, Java, or C# that scale incident retrospective workflows and eliminate manual tracking * Build production-grade data pipelines, analytics systems, and real-time dashboards to measure incident trends, COE effectiveness, and action item completion rates * Write code for workflow automation, integrations with observability platforms, and APIs that connect incident management tools across the engineering ecosystem * Leverage SQL and NoSQL databases to store, query, and analyze incident data at scale using Azure tools and cloud-native services * Develop and maintain systems that ensure rigorous follow-through on action items, remediation plans, and preventive measures with automated tracking * Partner with service engineering teams to implement preventive measures and architectural improvements based on incident patterns * Present data-driven insights and incident trend analysis to leadership and engineering teams to drive preventive action * Influence and educate leadership on incident patterns, prevention strategies, and reliability best practices * Mentor engineers on coding best practices, automation techniques, and strengthen technical expertise across the engineering community * Stay current with industry advances in SRE, observability, incident management, and automation; educate teams on emerging practices Qualifications * Experience building automation platforms and self-service tools for workflow management, analytics, or engineering productivity * Fluency in at least two modern languages such as Python, Go, Java, C++, or C# including object-oriented design * Experience building microservices architectures, REST APIs, and distributed systems * Experience with data pipelines, analytics platforms, and visualization tools for operational metrics and KPIs * Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra, CosmosDB) for data storage and analytics * Experience with observability platforms (Prometheus, Grafana, Datadog, Splunk, ELK) and distributed systems monitoring, logging, and tracing * Experience with cloud providers (Azure, AWS, or GCP) and cloud-native architectures * Experience with CI/CD pipelines, infrastructure as code, and container orchestration (Kubernetes, Docker) * Experience writing workflow automation code (YAML pipelines, GitHub Actions, Azure DevOps pipelines) * Strong understanding of distributed systems architecture, design patterns, reliability, and scaling * Knowledge of retrospective facilitation, continuous improvement processes, and blameless culture principles * Strong architecture and design skills with ability to influence engineering direction and technical roadmap * Experience solving complex analytical problems with data-driven approaches * Proven ability to partner with cross-functional engineering teams and drive systemic improvements * Excellent communication skills with ability to present technical insights to leadership and influence decision-making * Experience leveraging GenAI or LLMs is a plus Experience * 10+ years of professional platform development or general development experience * 8+ years of experience with architecture and design * 6+ years of experience in open-source frameworks * 4+ years of experience with AWS, GCP, Azure, or another cloud service Education * Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience Annual Salary $110,000.00 - $260,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations. GEICO will consider sponsoring a new qualified applicant for employment authorization for this position. The GEICO Pledge Great Company: At GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs. We’re an iconic brand that thrives on innovation, exceeding our customers’ expectations and enabling our collective success. From day one, you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career – and your potential – in mind. You’ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. * Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being. * Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. * Access to additional benefits like mental healthcare as well as fertility and adoption assistance. * Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

3 months agovia universal intelligenceApply ›
View Sr/Staff AI Engineer
BNSF Railway logo

Sr/Staff AI Engineer

BNSF RailwayUSAremote

$165,000 - $300,000/yr

The posted range for this position represents the amount bnsf | tech reasonably expects to pay for the position based on the level, scope, and responsibilities of the role. Individual compensation and level of position offered is determined by the hiring location and additional factors including but not limited to job-related skills, experience, and relevant education or training. In addition to base pay and bonus eligibility, BNSF offers a comprehensive benefits package. This is a full-time remote position. Employees may work from anywhere within the contiguous 48 states of the United States Travel is up to 20%. Employees will be required to occasionally travel to our corporate headquarters in Fort Worth, TX for in person meetings. Travel expenses for business needs will be covered by BNSF This position is open to candidates who are currently authorized to work in the United States. We are also open to sponsoring H-1B transfers, TN nonimmigrant status, and STEM OPT candidates with at least 2 years of remaining eligibility. Apply early as this job may be removed or filled prior to the closing date, which is approximately seven (7) days after the posting date. data & ai: lead our charge into the future as an ai company by transforming our data assets into a real time enterprise. Key responsibilities may include: AI Development and Implementation: Assist in designing, developing, and implementing AI models and algorithms tailored to railroad operations, including predictive maintenance, scheduling, and safety monitoring. Build scalable AI systems to analyze real-time data from rail infrastructure, rolling stock, and IoT devices. Data Collection and Analysis: Collect, preprocess, and clean data from various sources (e.g., sensors, GPS, maintenance logs) for training AI models. Conduct exploratory data analysis to identify trends and patterns relevant to rail operations. Build and Maintain Extract, Transform, Load (ETL) pipelines for AI applications. Optimization and Automation: Fine tune and optimize algorithms to streamline train scheduling, route planning, and fuel efficiency. Support the automation of operational processes and decision-making using AI-powered tools. System Integration and Deployment: Collaborate with software engineers and DevOps teams to integrate AI solutions into production environments. Ensure AI systems are robust, reliable, and compliant with railroad industry standards. Performance Monitoring and Improvement: Monitor deployed models and systems for performance, scalability, and accuracy, ensuring continuous improvement and reliability. Troubleshoot issues, retrain models, and implement necessary updates. Collaboration and Communication: Work closely with cross-functional teams, including data scientists, software engineers, business analysts, to understand their needs and enable AI-driven solutions. Communicate technical concepts and project updates to both technical and non-technical stakeholders. Research and Innovation: Stay updated on emerging AI technologies and trends to identify opportunities for innovation in rail transportation. Conduct research and propose new methodologies for solving complex railroad challenges. The duties and responsibilities in this posting are representative categories to be used in deciding whether to apply for this position. This is not an exhaustive list of the position’s duties. At BNSF Railway, we encourage individuals from all backgrounds to apply, showcasing their skills, experiences and development. We provide resources and tools to help you reach your full potential, fostering a supportive and inclusive environment. Basic Qualifications Authorized to work in the US. Minimum 6 years experience in AI/ML development, data science, software engineering, or relevant experience. Technical Skills: Strong in programming languages such as Python, R, or Java. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and deep learning architectures. Familiarity with data engineering tools and platforms (e.g., Hadoop, Spark, EMS, AWS S3, PySpark, RDS, JupyterLab) and cloud services (AWS, Azure, Databricks) and open source environments Strong knowledge of databases (SQL and NoSQL) Strong knowledge of Mlops ecosystem Strong understanding of generative AI models Strong in Data Pipelines for GenAI (e.g., cleaning, chunking embeddings) Strong in GenAI tools and frameworks (LangChain, LangGraph) Strong in Vector Databases and embeddings Familiar with Agentic architecture Analytical Skills: Ability to interpret complex datasets and derive actionable insights. Problem-Solving: Proven ability to tackle real-world challenges using AI and machine learning techniques. Communication: Excellent verbal and written communication skills for working with cross-functional teams and stakeholders. Preferred Qualifications Able to work now and in the future without BNSF’s assistance (whether monetary, through sponsorship, or otherwise) in obtaining, maintaining, or extending employment authorization (including H-1B, STEM OPT/CPT, or TN nonimmigrant status). Bachelor's degree or higher in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field Experience with predictive maintenance, anomaly detection, or industrial IoT applications. Knowledge of railroad operations, transportation systems, or logistics. Familiarity with MLOps practices and tools for model lifecycle management. Experience deploying AI systems in production environments with a focus on scalability and reliability. Previous experience in transportation, supply chain, or infrastructure industries. At BNSF, you will have access to a comprehensive and competitive benefits package including: An industry-leading 401(k) and renowned Railroad Retirement program. A range of robust health care options for you and your dependents (including domestic partners), including medical, dental, vision, telemedicine, mental health, cancer support, and high-quality care network options. Health care spending accounts (HSA) with employer contributions, as well as life and disability insurance, provided at no cost. Family benefits including parental, pediatric and family building support, adoption and surrogacy reimbursement, and dependent care spending account (with employer match). Access to discounts on travel, gym memberships, counseling services and wellness support. Annual bonus (Incentive Compensation Program) Generous leave / time off policies. For more information, visit Benefits. Please be aware of potential fraud that can occur when searching for new career opportunities. Please review our FAQ for more information and awareness. All positions require pre-employment background verification. BNSF Railway is an Equal Opportunity Employer, all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

full_time
7 months agovia remotiveApply ›

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