Cutsforth Inc.

• Assist with event planning and logistics, such as packing and shipping materials for tradeshows, along with creating, promoting, and executing webinars • Assist with social media marketing, mainly targeting LinkedIn • Create and audit content pieces, both customer-facing and internal, and submit them through the required review process prior to publication • Commit to continual self-guided education to gain relevant knowledge on product and service offerings, tech stack, relevant industries, clients, talk tracks, and general marketing practices • Meet weekly with supervisor to review activities and ensure alignment with overall company priorities • Track relevant metrics for marketing activities such as overall impressions, conversions, and company revenue impact • Consistently demonstrate a positive and professional image of Cutsforth with exceptional written and verbal communication • Ability to learn current Cutsforth marketing software programs (Salesforce, ZoomInfo, Gong, Constant Contact, etc.)

• Design, develop, train, and deploy machine learning and AI models that process and analyze field equipment sensor data (time-series IoT, embedded device telemetry) alongside structured and unstructured datasets. • Build and refine predictive, prescriptive, and anomaly detection models using techniques such as regression, time-series forecasting, classification, clustering, and deep learning to support real-time or near-real-time decision-making. • Perform exploratory data analysis (EDA), data preprocessing, feature engineering/signal processing, and feature extraction on high-volume, noisy sensor data and multimodal datasets to surface patterns, correlations, and actionable insights. • Contribute to end-to-end AI workflows, including automated data ingestion, model training pipelines, inference at the edge or in the cloud, and continuous monitoring for model drift and performance degradation. • Apply statistical modeling, hypothesis testing, and experimentation methods (A/B testing, causal inference where applicable) to validate model performance and ensure robustness in dynamic operational environments. • Support the development and maintenance of reproducible, scalable ML pipelines using MLOps best practices, including model versioning, retraining, deployment (including edge/embedded constraints), and lifecycle management. • Collaborate with engineering, product, and domain experts to translate business problems (e.g., predictive maintenance, fault detection, process optimization) into well-defined data science solutions. • Perform data cleansing, validation, and collation activities to ensure models are accurate, reliable, and aligned with real-world operating conditions. • Solve complex technical challenges related to analytical toolsets that support engineering and operational decision-making. • Communicate technical findings, model performance metrics, and business value to internal stakeholders through clear visualizations, written reports, and presentations. • Explore and evaluate emerging techniques (e.g., generative AI for synthetic sensor data, edge AI optimization, multimodal data fusion) and recommend incorporation into production workflows where appropriate. • Assist in formulating and managing data-driven project requirements aligned with business needs and strategic company goals. • Provide subject matter input on analytical tools and methods to cross-functional product development teams. • Work with software and business development teams to support revenue opportunities tied to data science initiatives and product/service enhancements. • Support internal resources involved in research, product development, and ongoing production of data analytics deliverables.

• Regularly design, develop, and maintain data pipelines and ML workflows to support operational and analytical needs • Write clean, efficient, and well-documented Python code for data processing, model development, and automation tasks • Analyze and interpret complex datasets, including time-series and machine health data to surface meaningful insights and support decision-making • Build, validate, and monitor AI/ML models in production, proactively identifying and resolving performance issues • Communicate technical findings and recommendations clearly to both technical and non-technical stakeholders across teams • Participate in cross-functional meetings and planning sessions to align data engineering efforts with broader business goals • Stay current with advancements in AI/ML techniques, tools, and industry-specific applications, particularly within power, oil, and gas environments • Document processes, models, and systems in a way that supports knowledge sharing and team continuity

• Conduct thorough testing of software for bugs, defects, and other issues using both manual and automated methods. • Develop and implement detailed test plans and procedures to ensure comprehensive test coverage. • Identify, document, and report defects and monitor their resolution to ensure they are addressed properly. • Work closely with developers, product managers, and other stakeholders to understand requirements and address issues collaboratively. • Provide feedback on software usability and functionality. • Write and maintain automated tests using tools like Playwright or others. • Create and maintain thorough test documentation, design specifications, and test reports to support ongoing development and testing efforts.

• Designs, integrates and implements software of embedded devices and systems. • Analyzes, studies and improves the efficiency and stability of the system. • Executes a complete embedded software development lifecycle. • Develops, codes, tests and troubleshoots the system software. • Supports company products with embedded software tools for data collection from sensors. • Collaborates with customers, internal teams, and vendors to fix and improve products. • Maintains and implements cybersecurity protocols as required. • Participates in code reviews to analyze and improve code.

• Support Field Service Job Execution: Support the Lead Tech and associated FS team and perform installation of products and execution of services according to the job scope related to generator related systems at customer sites including power plants or other heavy industrial sites. • Engage in continuous learning: Complete all position-based training as assigned and own self-development. Participate in regular status check-in meetings with FSM: Attend regular Team Meetings and Safety Meetings, Chat Sessions, Conference Calls as requested. • Support and promote a safety culture: Participate in all safety training at each site as required by each site and adhere to all requirements as directed. • Build strong partnerships and deliver proactive communication. • Make purchasing decisions in a financially disciplined manner.

• Independently write, test, and deploy clean, maintainable code across both front-end and back-end systems • Design and consume RESTful APIs that support real-time data exchange between utility systems and end-user applications • Integrate AI and machine learning models into existing and new application workflows • Troubleshoot and resolve technical issues across the full application stack with minimal supervision • Participate actively in sprint planning, stand-ups, and retrospectives as part of an agile development team • Communicate technical decisions and trade-offs clearly to both technical peers and non-technical stakeholders • Adapt quickly to evolving project requirements and emerging technologies in the energy/utilities space • Collaborate with R&D and operations teams to prototype, test, and iterate on new features

• Design, develop, test, and deploy scalable web applications and APIs across the full stack — from database schema to UI components • Create AI applications where appropriate to enhance the business • Lead architectural decisions and code reviews, ensuring high standards for maintainability, security, and performance • Participate actively in R&D efforts: evaluate new technologies, build proof-of-concept prototypes, and contribute findings to engineering roadmap discussions • Collaborate with product and design teams during sprint planning and discovery sessions to shape technical solutions • Optimize application performance, identify bottlenecks, and implement improvements across front-end and back-end systems • Write comprehensive unit, integration, and end-to-end tests to ensure software reliability • Contribute to internal technical documentation, architecture diagrams, and R&D reports • Mentor junior developers through pair programming, code reviews, and knowledge-sharing sessions • Stay current with industry trends and proactively recommend tooling or process improvements • Participate in on-call rotation and support incident response as needed

Job Title: AI Solution Architect Work Location: Fully remote position Employment Type: Full-time Employment Status: Exempt, salaried Visa sponsorship is not available for this position. Must reside in the United States. We are not accepting applicants for remote workers in California, Illinois, and New York at this time. Defines solution architectures for artificial intelligence systems, including data pipelines, feature stores, vector indices, model endpoints, orchestration, and serving layers Designs LLM -centric patterns (prompting, functional tool calling, memory, grounding, guardrails) and retrieval augmented generation workflows with appropriate evaluation strategies. Engineers’ agentic archit ectures and multi agent handoffs, specific toolkits, planning/ execution loops and safety boundaries for autonomous or semi-autonomous tasks. Selects and integrates cloud services for training, tuning and inference. Integrates AI services with enterprise platforms, and designs adapters, webhooks, and contract test for reliability. Leads proof of concept pilots , validates feasibility, scales succe ssful patterns, and hardens prototypes into production ready services. Defines reference architectures, templates, Software Development Kits and reusable components. Accelerates delivery across multiple product teams and business units. Partners with security to model threats and mitigate risks (prompt injection, data exfiltration, model poisoning, adversarial inputs ). Establishes human workflows for review, override, and continuous improvement. Coaches engineers and data scientists on AI architecture patterns, evaluation methods and deployment practices. Prepares executive ready ar tifacts, communicates tradeoffs , risks, cost models, and ROI, ties technical decisions to outcome based KPIs. Ensures accessibility, localization, and inclusive design considerations for conversational and generative experiences. 5+ years of progressive experience in data engineering, AI/ML engineering, solution architecture or related roles, with at leas t 3-5 years focus ed on enterprise scale AI/ML or generative AI initiatives Proven t rack record designing and delivering end to end AI architecture in medium sized organizations, including reference blueprints, integration patter n s , scalable deployment models, governance frameworks, and migration roadmaps to product AI systems. Deep expertise in modern generative AI and LLMs, including RAG architectures, fine-tuning/PEFT, agentic workflows, prompt engineering, inference optimization, evaluation techniques, and LLMOps / MLOps best practices. 5+ years of h ands-on proficiency with Databricks platform (Delta Lake, Unity Catalog for governance, Mosaic AI/Databricks AI/ BMLflow for ML/GenAI pipelines, Spark for distributed processing) and data lake/ lakehouse architectures for handling structured, semi-structured, and unstructured data at enterprise scale. Strong experience building and optimizing data pipelines , vector search/embeddings, ETL/ELT processes, and data governance in lakehouse environments to support reliable AI training and inference. Advanced programming skills in Python (primary), with working knowledge of SQL, Scala, and modern AI development tools such as Cursor, Claude, Devin AI , Jupyter / Databricks notebooks, and Git for collaborative workflows. Solid understanding of cloud platforms ( Azure preferred), containerization ( Docker/Kubernetes ), CI/CD pipelines, GPU/accelerator optimization, and cost-efficient scalable AI infrastructure. Experience with AI governance, security, compliance (data privacy, ethical AI, model monitoring/observability), risk assessment, and alignment of AI solutions with enterprise standards and regulations. Experience leading cross-functional teams (data scientists, engineers, product, compliance) in PoCs , technology evaluations, AI adoption programs, and stakeholder presentations to executive audiences. Familiarity with emerging AI trends, hybrid/multi-cloud setups, and tools for rapid prototyping/iteration in enterprise settings. Bachelor's or Master's degree in Computer Science , Data Science, AI, or a related quantitative field Strong communication and strategic skills to translate complex technical architectures into business value for C-level stakeholders. Successfully pass background check for cybersecurity site access. Architects AI solutions from discovery through production that result in mea surable business value. Translates business problems into reference architectures spanning data ingestion, model development and selection, machine learning operations, security and governance, and system integration Designs patterns for LLM/RAG/agentic workflows, event driven and real time use cases and multimodal experiences. Handles build vs buy anal yses, vendor and platform evaluations, and proof of concepts; confirms observability for safety, reliability, d rift, basis and performance. Partners with product, data science, engineering, cloud, security and domain stakeholders to deliver solutions that improve outcomes, efficiency and user experience across enterprise functions. Candidate will be responsible for reviewing policies and procedures related to cybersecurity and those relevant to the functions of their role. Candidate is expected to maintain a cybersecure work environment. Must be able to sit and stand for extended periods of time. Must be able to use hands to type, handle products, tools and navigate a computer keyboard. Must be able to view computer screen for extended periods of time. Specific vision abilities required by this job include close vision and distance vision. Medical, Vision, Dental Insurance H Health Savings Account with Employer contributions 401(k) with Employer match Short-term & Long-term Disability Coverage Accidental Death & Dismemberment Coverage Life Insurance Coverage 80 hours of Paid-Time-Off annually Eight paid holidays per year All other benefits required by applicable law Alignment with Corporate Values All Cutsforth employees are expected to perform their work in a manner that exhibits understanding and adherence to the Company Mission and Core Attributes of Cutsforth Employees. Employees in management roles must exhibit continual improvement along Cutsforth’s Leadership Traits. Further, each employee must read and adhere to corporate policies and safety protocols. Learn more about Cutsforth here: Cutsforth.com/About Read our Mission & Values here: Cutsforth.com/Values Equal Employment Opportunity Statement: Cutsforth will not discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, or national origin. Cutsforth will take affirmative action to ensure that applicants are employed, and that employees are treated during employment, without regard to their race, color, religion, sex, sexual orientation, gender identity, or national origin. Such action shall include, but not be limited to the following: Employment, upgrading, demotion, or transfer, recruitment or recruitment advertising; layoff or termination; rates of pay or other forms of compensation; and selection for training, including apprenticeship. Cutsforth agrees to post in conspicuous places, available to employees and applicants for employment, notices to be provided by the provisions of this nondiscrimination clause. For Cutsforth's full Equal Employment Opportunity Policy, click here: EEO Notice to Employees & Applicants

• Develop positive relationships in multiple areas of the customer organization. • Develop relationships at higher levels of the customer organization, including director and executive levels. • Uncover customer needs in line with Cutsforth solutions by executing sales tactics and account planning. • Maintain contact with clients, answer questions, resolve conflicts, and provide solutions to issues that arise. • Coordinate Cutsforth resources to ensure customer success and sustain revenue growth. • Stay up to date on industry and market trends impacting the target accounts. • Sustain multiple quarters of sales pipeline at all times, with the ability to provide a forecast with certainty to leadership. • Able to develop relationships and coordinate with partner companies to meet the customers’ needs. • Attend trade shows and conferences as needed. • Provide feedback to the organization on products, services, and internal processes based on experience with customers. • Keep the CRM pipeline and account information up to date in line with company goals and expectations.