• Translate ambiguous business problems into clear, usable systems and tools • Work directly with revenue owners to understand friction and remove it • Build tooling and automations that improve execution quality • Identify where workflows fail and continuously improve them • Act as a teacher and multiplier, not just a builder

• Use Case Identification & Prioritization: Work closely with team members across marketing to identify the highest-value opportunities to improve efficacy and efficiency through AI, data, and automation. Evaluate and prioritize use cases based on potential impact, feasibility, and data readiness, and maintain a clear roadmap of initiatives communicated to stakeholders. Stay current on the evolving AI tool landscape and bring forward-looking recommendations on where to invest next. • Data Strategy & Sourcing: For each priority use case, determine what data is needed to drive the best outcome, whether from the CRM, intent platforms, engagement tools, third-party sources, internal assets, etc. Work cross-functionally with RevOps, Sales, and IT to pull relevant data together in a structured and accessible way. • Automation & Agentic Workflow Building: Partner with marketing stakeholders to design and build automation and agentic workflows that improve the quality and speed of their work. Use Claude, Claude Code, Claude Workspace, and related tools to create working solutions — from prompt-driven workflows to multi-step agentic processes that run with minimal manual intervention. Iterate on deployed workflows based on real usage and outcomes, continuously improving impact. Act as a thought partner and co-builder for team members who want to apply AI to their specific function, making complex capabilities accessible and practical. • AI Capability Repository & Enablement: Architect and maintain a central repository of AI capabilities, skills, prompts, and reference assets that the marketing team can access, reuse, and build on. Establish standards and lightweight governance for how the marketing org uses AI tools — ensuring alignment, consistency, and scalability as usage grows. Enable team members to adopt new workflows and build their own AI fluency through documentation, training, and hands-on support. Ensure that knowledge and solutions developed for one function are systematically available to the rest of the team, preventing duplicate effort and compounding gains over time.

be part of a team that values safety, inclusion, and excellence we are one of the largest U.S. railroads transporting the nation’s freight across 28 western states and 3 Canadian provinces. as a member of our team, you will play a role in supporting the movement of essential products and materials that help feed, clothe, supply, and power communities throughout America and the world. bnsf | tech: innovating and transforming the future of freight rail bnsf | tech is the technology division making BNSF the preeminent freight and mobility company in north america. are you ready to drive change? if you are passionate about making a difference and eager to advance your career in a dynamic and supportive environment, we want you on our team! join us in reshaping the future of freight rail and discover a fulfilling career where your contributions matter. we are committed to a culture where all employees are included, belong, and have equal opportunity to achieve their full potential. Come make a difference with us! learn more about BNSF and our Benefits Job Location: Remote US Anticipated Start Date: 01/01/2026 The US base salary range for this full-time position is provided below: Salary Range: $165,000 - $300,000 L5: $165,000 - $220,00 L6: $225,000 - $300,000 The range 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. SF: MO | [[mfield5]] | bnsf tech | REMOTE, US | 76131

Role Description The AI Conversational Bot Developer Specialist is responsible for designing, developing, and maintaining conversational AI solutions using the Kore.ai platform. This role builds conversational workflows, trains NLP models, integrates enterprise systems, and supports production deployments of conversational automation capabilities. The Specialist collaborates with architects, engineers, contact center teams, and business stakeholders to automate member interactions and improve digital service capabilities. Essential Functions and Responsibilities - Designs and develops conversational workflows and dialog tasks within the Kore.ai platform. - Trains NLP models, including intents, entities, and contextual conversation handling. - Develops service node scripting logic using JavaScript to support API integrations. - Integrates conversational bots with enterprise systems, including CRM platforms, contact center solutions, and core banking APIs. - Configures and maintains escalation workflows that transfer conversations to live agents when appropriate. - Performs testing and validation of conversational experiences, including regression and user acceptance testing. - Monitors bot performance metrics, including containment rates, intent accuracy, and conversation success rates. - Analyzes conversation transcripts and refines training models to improve conversational performance. - Maintains documentation and development standards for conversational automation solutions. - Collaborates with cross-functional teams to identify and implement new automation opportunities. - Participates in Agile development activities, including sprint planning, backlog refinement, and feature delivery. Knowledge, Skills, and Abilities - Must maintain APIs and workflows within Kore.AI or other enterprise AI platforms. - Must have a strong understanding of JSON data transformation and API request/response processing. - Must have the ability to troubleshoot and debug integration issues across Node.js middleware, Java services, and Python automation scripts. - Must have familiarity with microservice architectures and distributed application design. - Should possess a strong commitment to providing excellent service to Truliant’s members. Education and Background - Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline is required. - 3–6 years of professional experience developing backend services or application integrations using Node.js, Java, or Python is required. - 3–6 years of experience implementing REST APIs and web service integrations within enterprise environments is required. - Experience supporting automation platforms, conversational AI solutions, or digital service platforms is required. - 3–6 years of experience developing backend services or integrations using Node.js and JavaScript required. - Experience building and consuming RESTful APIs and managing API integrations with enterprise systems required. - Experience using Python for automation scripts, analytics, integration support, or data processing workflows required. - Experience using development tools such as Git, CI/CD pipelines, automated testing frameworks, and API development tools required. - Experience working with cloud-based application platforms or containerized environments required. - Professional experience using Java to build or integrate with enterprise services, microservices, or middleware platforms required. - Experience working within Agile development teams delivering iterative software releases is preferred. - Experience working in financial services or other regulated technology environments is preferred. - Experience implementing secure API integrations, including OAuth authentication and token-based access methods preferred. - Experience developing integrations for conversational AI platforms or automation technologies preferred. - Experience integrating with CRM systems, contact center platforms, or financial service systems preferred. Benefits - No-cost employee Medical, dental, vision coverage - Prescription benefits (including mail order) - Paid holidays and Paid Time Off (PTO) - 401(k) plan with contribution matching - Paid community involvement volunteer hours - Paid group life Insurance - Teammate loan discounts - Tuition reimbursement - Short and long-term disability - Health & Wellness program - Teledoc (physician video conferencing) - Onsite fitness facilities or health club reimbursement - Employee Assistance Program (EAP) - Medical flexible spending account - Dependent care flexible spending account