• Lead enterprise JAMA Connect configuration, administration, and governance. • Improve workflows, tool performance, and user experience in partnership with external consultants. • Integrate JAMA Connect with engineering tools (e.g., JIRA, test management systems) and support scalable ecosystem growth. • Build enterprise traceability reporting, dashboards, KPIs, and requirements quality processes. • Establish standards for reviews, baselines, V&V reporting, and partner specification management. • Develop training materials, best‑practice guides, and onboarding resources to support enterprise adoption. • Align processes across business units, including the Automotive BU, to ensure consistent requirements management practices.

• Integrate data from customer building systems and platforms into Ameresco’s AssetPlanner™ platform • Evaluate each site to determine the most effective approach for data extraction and integration • Configure, deploy, and support on-site gateways and edge devices for reliable data collection • Map building automation system (BAS) points and deploy fault detection and performance analytics • Configure dashboards, alerts, and workflows to support operations and decision-making • Integrate utility and energy data from utility providers, submeters, and third-party sources • Tune analytics, rules, and thresholds to improve accuracy and actionable insights over time • Partner with internal teams and external stakeholders throughout the integration lifecycle • Communicate project status, technical challenges, and expected timelines clearly and proactively • Support customers during onboarding and early adoption to ensure successful outcomes • Monitor data streams and system connectivity to ensure data completeness, quality, and integrity • Troubleshoot integration, networking, and data issues and drive timely resolution • Document configurations, lessons learned, and best practices to support scalable deployments

Job Seekers can review the Job Applicant Privacy Policy by clicking here. Job Description: Summary This Warehouse Automation Engineering position can be responsible for he effort in identifying, evaluating, piloting and deploying new warehouse automation technologies, followed by the installation and deployment of new and optimizatoin of warehouse automation technologies. This dedicated teams and capability differentiates Ryder by driving efficiencies to grow existing and win new business. This position will require a breadth of knowledge across many business types and automation technologies. Work directly with internal operations, solution design, continuous improvement, information technology, product teams and stakeholders to identify, select, and deploy new technology with automation partners. Consult with internal and external contacts to quickly demonstrate the value and feasibility of warehouse automation capabilities to create a competitive differentiator. Work directly with the customer and business owners to identify new ideas and collaborate across verticals, regions, and functional areas to evaluate, pilot, develop and implement warehouse automation solutions. Essential Functions - RFP and New Business Support: • Lead minor RFP project and support lead engineer on major RFP projects by leading automation selection and validation on new business sale projects by identifying potential automation technologies. • Build ROI and justification based upon multiple criteria in order to select the optimal solution design • Support build of presentation with Lead Automation Solutions Engineer - SOW (Scope of Work) Contractual Validation: •Support automation project lead on identifying gaps in vendor FSD/SOW using the FSD Checklist process - Design Validation: • Provide input on automation solution designs to ensure that key items are considered for implementation and ongoing operational performance • Review design options for clearance issues, power requirments, cost effeictiveness and SLA targets. - Automation Procurement: • Help lead build collateral for vendor tech review request and requests for quotes. • Review design options for various vendors and solutions - Implementation Project Management: • Some Project Management of smaller projects, including updating of Punch List, Project Plan • Track milestones and requirements for implementation of projects - Implementation Support: • Attend implementation status calls when needed. • Verify and prioritize optimal on-stie support is utilized on all projects • Ensure communication to vendor and on-site staff and handle escalation events. • Coordiante support for onsite team for post-go live hypercare . • Support on-site Solution Acceptance Test (SAT) testing plan • Support tracking of Punch List after go-live for Uptime items - Data Analytics: • Profile data from dashboard and systems to support system optimization projects • Perform data analysis on reports technology controls systems and WMS/WES - Implementation Commissioning and Solution Validation: • Support Solutions Acceptance Testing (SAT )testing plan • Support tracking of Punch List - Strategy and Success Measurements: • Review team strategy with manager to set personal goals - Financial Responsibilities: • Validate spend with manager • Support Project Leads on tracking project budget - Automation Troubleshooting: • Partner with vendor to resolve Priority 1-5 tickets related to down/degregated performance with site automation • Join on P1/P1 Resolutions calls Additional Responsibilities - Support vendor communication for minor projects. - Develops pilot activities and the hypothesis to be tested. Defines the proof of concept, formalizes the team, identifies a pilot location, obtains approvals, evaluates vendors and determines a pilot timeline. Deploys acceptable pilots to quickly evaluate business fit & operational feasibility. These results will help feed the solution design team to include proven technologies into new business proposals. Evaluate, pilot and deploy new warehouse automation technologies. - Validation of new technology and automation will be supported by this role through Proof of Concept implementations. These POC implementations will be driven by the automation team, as they will also coordinate the value-justification of the project with Senior Management and the cross-functional team involved. - Performs other duties as assigned. Skills and Abilities - Driven to help organizations innovate with new warehouse automation capabilities or technologies., Required - Strong planning, time management, collaboration, decision making, organization and presentation skills, Required - High degree of comfort and ease with ambiguity and uncertainty., Required - Ability to create and maintain professional relationships within all levels of the organization (peers, work groups, customers, supervisors)., Required - Ability to work independently and as a member of a team., Required - Ability to work independently and as a member of a team., Required - Passion for understanding clients and internal customer's vision and business goals., Required - Ability to champion ambiguous scenarios and challenges., Required - Natural sense of leadership and ownership - in research, pilot and thought leadership activity., Required - Problem-solver, curious, hands-on mentality., Required - Act as a change agent in adopting warehouse automation technologies to deliver significant operational improvement across the organization and to coach business owners and functional leads in the deployment of these new technologies., Required - Demonstrated success in assessing, developing and deploying new offerings or incremental enhancement., Required Qualifications - Bachelor's Degree in Industrial Engineering, Mechanical Engineering or related field of study, Required - Master's Degree in Industrial Engineering, Mechanical Engineering or related field of study, Preferred - 3 years or more in 3 years or more experience in warehouse automation, material handling technologies, industrial engineering or warehouse systems integration., Preferred - 2 years or more in Demonstrated experience in warehouse automation, Preferred - 2 years or more in Experience in warehouse automation that may would preferable include some of the following, sortation conveyor, goods-to-person, autonomous vehicles/robots, ASRS’s, Required - Automation, Management Consulting, Physical & Process Robotic experience. Beginner, Required - Knowledge of Warehouse Management operations, data analytics, Industrial Engineering, warehouse types (ambient, temp control) and Lean methods. Beginner, Required - Knowledge of all available material handling equipment and automation types such as: forklift applications, racking designs, packaging devices and automation design. Intermediate, Required - Warehouse Design Tools i.e.; CAD, slotting, MOST, simulation, WMS, Labor Mgt. Network Design Tools a plus (e.g., Llamasoft). Data Visualization Software (e.g., Tableau, Power BI) a plus. Beginner, Required - Industrial or Mechanical Engineering or with equivalent warehouse operational knowledge. Beginner, Required - Experienced in financial business case analysis to help support targeted return on investment. Intermediate, Preferred Travel - Yes, 30-40% Job Category Engineering Compensation Information: The compensation offered to a candidate may be influenced by a variety of factors, including the candidate’s relevant experience; education, including relevant degrees or certifications; work location; market data/ranges; internal equity; internal salary ranges; etc. The position may also be eligible to receive an annual bonus, commission, and/or long-term incentive plan based on the level and/or type. Compensation ranges for the position are below: Pay Type: Salaried Minimum Pay Range: 100000 Maximum Pay Range: 115000 Benefits Information: For all Full-time positions only: Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax-advantaged 401(k) retirement savings plan. For more information about benefits, click here to download the comprehensive benefits summary. Ryder is proud to be an Equal Opportunity Employer and Drug Free workplace. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability. Important Note: Some positions require additional screening that may include employment and education verification; motor vehicle records check and a road test; and/or badging or background requirements of the customer to which you are assigned. Security Notice for Applicants: Ryder will only communicate with an applicant directly from a [@ryder.com] email address and will never conduct an interview online through a chat type forum, messaging app (such as WhatsApp or Telegram), or via an online questionnaire. During an interview, Ryder will never ask for any form of payment or banking details and will never solicit personal information outside of the formal submitted application through www.ryder.com/careers. Should you have any questions regarding the application process or to verify the legitimacy of an interview or Ryder representative, please contact Ryder at careers@ryder.com. Current Employees: If you are a current employee at Ryder, please click here to log in to Workday to apply using the internal application process. Job Seekers can review the Job Applicant Privacy Policy by clicking here.

Role Description We are seeking a Forward Deployed Engineer (FDE) to work closely with our clients, translating complex business needs into scalable, production-ready AI solutions. As an FDE, you will serve as the technical face of our company on the ground—embedding with client teams, shaping solution architectures, and ensuring successful delivery. This role is perfect for engineers who love solving real-world problems, working directly with customers, and navigating the intersection of consulting and engineering. Key Responsibilities - Client-Facing Solution Delivery - Partner directly with client stakeholders to understand requirements, constraints, and business objectives. - Lead the technical design and hands-on implementation of custom AI systems—including model integration, data pipelines, APIs, and deployment infrastructure. - Rapidly prototype and iterate with clients in live environments. - Full-Stack AI Engineering - Build and deploy ML/AI solutions using technologies like Python, TensorFlow/PyTorch, LangChain, and cloud-native tools. - Integrate LLMs and other generative models into client products and workflows. - Support model fine-tuning, prompt engineering, and evaluation pipelines where applicable. - Cross-Functional Collaboration - Work with internal teams (product, design, research) to shape reusable components and frameworks based on deployment experiences. - Contribute client feedback and frontline insights to improve service delivery and product strategy. - Technical Advisory & Enablement - Advise client technical teams on best practices for AI/ML development and deployment. - Deliver hands-on workshops, documentation, and training to enable long-term client success. - Guide clients through infrastructure and architecture decisions (e.g., cloud, security, scalability). Qualifications - Required - 2+ years of software engineering experience, ideally in full-stack or backend-focused roles. - Hands-on experience delivering real-world ML/AI projects, either independently or in collaboration with data science teams. - Strong programming skills (Python required; familiarity with JavaScript/TypeScript, Go, or similar a plus). - Comfort with modern cloud platforms (AWS, GCP, or Azure) and CI/CD workflows. - Excellent communication and client interaction skills. - Preferred - Experience with LLMs (e.g., OpenAI, Anthropic, Cohere), vector search, or prompt engineering. - Prior consulting, professional services, or customer-facing technical roles. - Familiarity with MLOps practices and tools (e.g., MLflow, Weights & Biases, SageMaker). - Knowledge of common enterprise security, data privacy, and compliance constraints. Benefits - Competitive compensation (salary + deployment bonuses or client uplift incentives). - Equity options in a growing AI services company. - Flexibility to work across industries and problem domains. - A collaborative, mission-driven team passionate about the real-world impact of AI.