Company Overview: For more than 50 years, NISC has worked to develop technology solutions for our customers, who we call our “Members”. Those Members are comprised primarily of 960+ energy (utility) and communication (broadband) organizations across North America. Our mission is to deliver technology solutions and services that are Member-focused, quality driven and valued priced. Our Members have over 18 million end customers (residential and businesses who receive power, internet, television and/or telephone services) that our enterprise software solution enables our Member's employees to compete effectively in the industry, while excelling in providing customer service to their end customers. NISC exists to serve our Members and help them serve their communities through our innovative software products, services and outstanding customer support. We are an AI-forward company committed to being a technology leader in our industry. NISC has been ranked in ComputerWorld’s Best Places to Work for 23 years, and we are looking for qualified individuals to join our team. Position Overview: We are looking for a high-agency, AI-native Software Engineer who loves building real-world AI systems that make a measurable difference. This is not a research role. This is not a “play with models in a lab” role. This is a builder role. You will design, build, ship, and continuously improve production-grade AI applications that are embedded directly into mission-critical software used by utilities and broadband providers across North America. Your work will power customer service interactions, operational workflows, and intelligent automation at scale. We are looking for someone who: Gets excited about taking AI from idea → prototype → production → scale Loves experimenting with new models, frameworks, and agentic patterns Has a “there’s a way” mindset when solving hard technical problems Believes AI should drive tangible business impact, not just technical novelty Thrives in ambiguity and moves fast while maintaining engineering discipline At NISC, AI is not a side initiative — it is a core strategic priority. You will help shape how AI transforms the way our Members serve their communities. If you’ve built and deployed AI systems that real users depend on — and you want to do it in an organization that values ownership, innovation, and meaningful impact — we encourage you to apply. Essential Functions: Design & Build Production AI Systems: Architect, develop, and deploy AI-powered features and applications using LLMs, RAG pipelines, agentic workflows, and modern ML techniques. Own Outcomes, Not Just Code: Take ideas from concept to production. Prototype quickly, validate with users, iterate based on feedback, and optimize for reliability and performance. LLM & Agent Integration: Integrate foundation models, fine-tuned models, and multi-agent systems into enterprise-grade applications in secure, scalable environments. Data & Retrieval Engineering: Design and optimize data ingestion pipelines, embeddings workflows, and vector database implementations that support high-quality AI responses. Performance & Scalability: Deploy AI systems that are resilient, observable, and cost-efficient in production environments. Mission Alignment: Ensure solutions are practical, intuitive, and aligned with the operational realities of cooperatives, utilities, and broadband providers. Continuous Innovation: Actively explore new AI capabilities and rapidly evaluate how they can improve our products and development practices. Collaborative Execution: Partner with product, architecture, and engineering teams to embed AI capabilities across our enterprise platform. Follow all established software development methodologies and procedures. Other duties as assigned Desired Experience & Skills: 8-10+ years experience in software development, preferably with at least 3+ years in AI/ML software development. Demonstrated experience shipping AI solutions used by real customers — not just prototypes or academic projects Experience integrating LLMs into applications (prompt engineering, evaluation, fine-tuning, API orchestration) Experience designing RAG pipelines, embeddings workflows, and working with vector databases Experience deploying AI systems in cloud environments (AWS, Azure, GCP) Technical Expertise: Strong Python proficiency and familiarity with ML frameworks (PyTorch, TensorFlow, or equivalent) Experience building scalable APIs and backend services Understanding of agentic architectures, orchestration frameworks, or multi-agent systems Experience optimizing AI performance, cost, and latency in production Familiarity with observability, evaluation frameworks, and model monitoring Strong Python proficiency and familiarity with ML frameworks (PyTorch, TensorFlow, or equivalent) Experience building scalable APIs and backend services Understanding of agentic architectures, orchestration frameworks, or multi-agent systems Experience optimizing AI performance, cost, and latency in production Familiarity with observability, evaluation frameworks, and model monitoring Mindset & Attributes (Critical for Success) Builder mentality — you love shipping High ownership — you see problems and move toward them Curiosity about emerging AI capabilities and how to apply them pragmatically Bias toward action and experimentation Comfort operating in evolving AI landscapes Ability to balance speed with engineering discipline Strong communicator who can translate AI capabilities into business value Builder mentality — you love shipping High ownership — you see problems and move toward them Curiosity about emerging AI capabilities and how to apply them pragmatically Bias toward action and experimentation Comfort operating in evolving AI landscapes Ability to balance speed with engineering discipline Strong communicator who can translate AI capabilities into business value Bonus Experience Experience in utilities, broadband, cooperatives, or enterprise SaaS Knowledge of AI safety, evaluation strategies, or explainability techniques Full-stack experience or ability to deliver end-to-end AI features Portfolio, GitHub, or case studies demonstrating deployed AI systems Experience in utilities, broadband, cooperatives, or enterprise SaaS Knowledge of AI safety, evaluation strategies, or explainability techniques Full-stack experience or ability to deliver end-to-end AI features Portfolio, GitHub, or case studies demonstrating deployed AI systems Experience working with utilities, broadband providers, or cooperatives, preferred. Commitment to NISC’s Statement of Shared Values NISC’s Shared Values & Competencies: We’re a cooperative, which means we’re owned by the Members we serve. It also means that our focus is on taking care of our Members and our employees, rather than having a big bottom line. Quality service and innovative technology starts with happy and dedicated employees. Join our team and learn for yourself what sets NISC apart. Integrity – We are committed to doing the right thing – always. Relationships – We are committed to building and preserving lasting relationships. Innovation – We promote the spirit of creativity and champion new ideas. Teamwork – We exemplify the cooperative spirit by working together. Empowerment – We believe individuals have the power to make a difference. Personal Development – We believe the free exchange of knowledge and information is absolutely necessary to the success of each individual and the organization. Work Schedule: Hybrid from one of our office locations: Cedar Rapids, IA Lake Saint Louis, MO Mandan, ND Cedar Rapids, IA Lake Saint Louis, MO Mandan, ND Hybrid Schedule: Minimum of working 3 day per week out of an office location and ability to work up to all 5 days a week from an office location. Required Days from an Office Location: Tuesday and Wednesday - the third required day will be up to the candidate and their supervisor to choose. Required Days from an Office Location: Tuesday and Wednesday - the third required day will be up to the candidate and their supervisor to choose. Virtual Office Location : Fully remote candidates will be considered for candidates who have a background in providing AI/ML solutions that work in real world applications, not just conceptual understanding or research based projects. Benefits: Medical, Dental and Vision Insurance. Health Savings Account (HSA) with $100 monthly contributions from NISC. Like to walk? Improve your overall wellness knowledge? Ability to earn up to $800 additional dollars into your HSA each year through our Wellness Rewards program. Like to walk? Improve your overall wellness knowledge? Ability to earn up to $800 additional dollars into your HSA each year through our Wellness Rewards program. Dependent Care Flexible Spending Account (FSA) thru Paylocity. Fully covered life insurance up to x3 annual base salary. Fully covered short- and long-term disability. 401(k), traditional or Roth, with employee match up to 6% and employer 4% salary base contributions. PTO accrual levels dependent on years of service, 120 Life Leave Event hours, and 9 paid holidays. $2,500 Interest-FREE technology loan program. $25,000 employee educational assistance program. Volunteer, Wellness, Family Events and other employee fun supplied by our committees. Employee Assistance Program; assisting employees and dependents with virtually any life event Benevolence Committee to support employees with financial hardships like unexpected medical bills, funerals and other unfortunate hardships. Desired Education: Bachelor’s Degree in a Computer Science, Computer Engineering, or a related field and/or equivalent experience. Master's Degree in Artificial Intelligence or Machine Learning, preferred. Minimum Physical Requirements: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Employees must be able to see, speak, and hear, to operate computer keyboards or office equipment, and are required to stand, walk, and sit. Disclaimer: Management may modify this job description by assigning or reassigning duties and responsibilities at any time.

Strategic Leadership & Opportunity Development Drive top-of-funnel opportunity creation through two parallel tracks: engaging C-level stakeholders with generative AI demonstrations (Amazon Q, Amazon Bedrock) and identifying data modernization needs for Lakehouse transformations. Lead the design and architecture of dual solution portfolios: Generative AI Solutions: Amazon Bedrock implementations, Amazon Q deployments, QuickSight with Q capabilities, RAG architectures, and custom LLM solutions. Data Modernization: Enterprise Lakehouse architectures using AWS Glue, SageMaker Unified Studio, Databricks on AWS, and Snowflake on AWS. Act as the trusted advisor, positioning generative AI as the transformational vision while grounding delivery in robust data platform modernization. Develop compelling business cases that connect AI aspirations with practical data foundation requirements, demonstrating ROI across both portfolios. Stay current with advancements in generative AI (foundation models, LLMs) and modern data architectures (Lakehouse patterns, data mesh, unified analytics). Contribute to Rackspace's intellectual property through reference architectures covering both generative AI implementations and Lakehouse design patterns. Mentor and provide leadership to Solution Architects by guiding technical development and fostering skill growth across both generative AI and data modernization solution areas. Customer Engagement & Solution Delivery Serve as the primary technical lead orchestrating both generative AI discussions and data modernization programs for strategic accounts. Build strategic relationships using two engagement models: Executive Level: Amazon Q demonstrations, QuickSight analytics with generative BI, art-of-the-possible sessions. Technical Level: Lakehouse architecture workshops, platform assessments (Databricks vs Snowflake vs AWS-native), migration planning. Lead comprehensive consultative engagements that begin with generative AI vision (Amazon Q, Bedrock) and translate into concrete data modernization roadmaps. Develop proposals that balance innovative AI capabilities with foundational data platform requirements. Guide customers through parallel journeys: generative AI adoption (POCs to production) and data platform modernization (legacy to Lakehouse). Collaborate with sales teams to position both solution portfolios strategically based on customer maturity and needs. Technical Excellence & Market Awareness Maintain deep expertise across both solution domains: Generative AI **: Amazon Bedrock, Amazon Q, QuickSight Q, SageMaker JumpStart, prompt engineering, RAG architectures, vector databases. Data Platforms **: AWS Glue, SageMaker Unified Studio, Databricks on AWS, Snowflake on AWS, Redshift, EMR, Apache Iceberg, Delta Lake. Position AWS solutions effectively against other cloud platforms' offerings in both generative AI (Azure OpenAI, Vertex AI) and data platforms (Azure Synapse, BigQuery) Guide architectural decisions on build vs. buy for both Al capabilities and data platform components Dual Expertise Required: Deep experience with generative AI technologies: Amazon Bedrock, Amazon Q, LLM architectures, RAG implementations. Proven track record delivering data modernization: Lakehouse architectures, Databricks and/or Snowflake implementations, AWS Glue/EMR deployments A bachelor's degree in computer science, Data Science, Engineering, Mathematics, or a related technical field is required. At the manager’s discretion, additional relevant experience may substitute for the degree requirement. A minimum of 15 years of enterprise solution architecture experience. A minimum of 8 years of public cloud experience. A minimum of 5 years as a senior-level architect or solutions leader with hands-on experience in both AI/ML and data platform modernization. Proven Presales/Sales Engineering experience. Demonstrated success in engaging C-level executives using generative AI demonstrations while delivering complex data platform transformations. Strong understanding across the full spectrum: AI/ML: Generative AI, foundation models, LLMs, traditional ML, prompt engineering, fine-tuning. Data Platforms **: Lakehouse architectures, data mesh, ETL/ELT, streaming, data governance, data quality. Proficiency in Python, SQL, and Spark with hands-on experience in: Generative AI: LangChain, vector databases, embedding models. Data Engineering: PySpark, Apache Iceberg/Delta Lake, orchestration tools. A proven ability to articulate both visionary AI possibilities and practical data platform requirements to diverse audiences. An advanced degree (Master's or PhD) in a relevant field Experience with AWS professional services or AWS partner ecosystem across both Al and data domains Hands-on experience with: Multiple Lakehouse platforms: Databricks, Snowflake, AWS-native (Glue + Athena + Redshift) Multiple Al platforms: AWS Bedrock, Azure OpenAI, Google Vertex Al Industry certifications: AWS: Solutions Architect Professional, Machine Learning Specialty, Data Analytics Specialty Platform specific: Databricks Certified, Snowflake SnowPro Experience with regulated industries requiring governance for both AI and data platforms Track record building practices that deliver both generative AI solutions and data modernization programs Published thought leadership in generative AI applications and/or modern data architectures

Driving AI strategy within the Information Security department with a focus on leveraging AI technologies to augment or replace existing security technologies designed to protect TradeStation and its customers Enabling TradeStation to rapidly adopt and leverage AI technologies across the enterprise while protecting sensitive data, TradeStation’s infrastructures, and our customers Understanding existing and emerging AI-based security threats and recommending/designing appropriate countermeasures at all levels including networking, application, and others Serving as a subject matter expert on AI technologies including LLM’s, MCP’s, development tools and workflows, used across the TradeStation enterprise and recommending / implementing appropriate security controls as well as advising stakeholders across the organization on security-related AI matters Identify current security controls, processes, and technologies that may be improved through migration to AI-based tooling Recommend appropriate changes and lead initiatives for measurable improvement Educate, mentor, and advise other members of the Security team on the implementation, management, and use of new security AI tooling Design, test, and implement strategies to address malicious activity that leverages AI for complex and time-sensitive attack methods Build AI-assisted SOC / detection enablement, applying AI technologies to security operations Develop and deliver security metrics and trend data to assist the organization’s understanding of overall AI security risk Serve as a trusted advisor to multiple stakeholders, both technical and nontechnical, across the company in protecting information as we rapidly adopt new AI technologies Identify risks associated with internal AI usage and recommend appropriate controls Perform risk assessments on proposed AI initiatives and technologies Provide expertise to product and development leadership on AI security aspects of customer-facing AI technologies Evaluate AI tools, APIs, and vendors for security posture before adoption (e.g., data retention policies, model access controls, terms of service risk) Monitor evolving AI threat landscape (prompt injection, jailbreaking, model poisoning, adversarial inputs) and translating findings into actionable guidance for the team Enforce controls to prevent sensitive/regulated data (PII, PCI, trading data) from being inadvertently exposed through AI prompts or tools Draft and maintain AI-specific security policies and acceptable use standards (this is distinct from general GRC work and fits the role well) Maintain awareness of what AI tools are in use across the enterprise, including unsanctioned/shadow AI, and developing a process to manage it A strong information security knowledge foundation including security principles, frameworks, risk mitigation, etc. Strong understanding of artificial intelligence concepts, technologies, and methods including, but not limited to: large language models (LLM’s) such as Claude, ChatGPT, and others, AI-based development tools such as CoPilot and others, model context protocol (MCPs), and their application to information security programs, as well as AI risk mitigation Familiarity with OWASP Top 10 for LLMs / MITRE ATLAS Familiarity with API security, specifically around MCP and LLM integration Hands-on prompt engineering / security testing experience with knowledge of how attacks against AI technologies both in theory and in practice Experience leveraging AI technologies to improve efficiency, reduce risk, and enhance security operations Operational excellence: Strong project management mindset with exceptional organizational skills and attention to detail Autonomy and judgment: Ability to work independently, make sound decisions, and know when to escalate or seek guidance Follow-through: Proven track record of driving initiatives to completion and following up with stakeholders on assigned tasks Communication skills: Excellent written and verbal communication skills, including the ability to facilitate meetings, document complex topics clearly, and interact professionally with all organizational levels AI proficiency: Demonstrated ability to leverage AI tools to enhance work quality, accelerate tasks, and solve problems creatively Risk assessment & documentation: Ability to support or conduct security risk assessments, document risk details clearly, and track remediation activities to closure Incident response familiarity: Understanding of incident response processes, documentation requirements, and the coordination needed to support response and post-incident activities Collaboration: Ability to work effectively across IT, Compliance, ERM, and business units to achieve shared objectives Adaptability: Comfortable operating in dynamic environments where priorities shift and requirements evolve Problem Solving: Practical problem-solving approach that balances process with pragmatism Strong proficiency with Microsoft Office, collaboration tools (Jira, Confluence, SharePoint), and project management practices Must have a passion for information security and AI, a strong desire to learn and apply new knowledge Working knowledge of cloud security in AWS and Azure environments preferred Experience in financial services, fintech, or other highly regulated industries preferred Familiarity with Agile, SDLC, and CI/CD concepts preferred Knowledge of incident response frameworks and processes preferred Demonstrated progression toward a security career path and willingness to pursue relevant certifications preferred Bachelor's degree in Information Technology, Computer Science, Information Security, or related field; OR equivalent combination of relevant education, training, and experience Minimum 7 years professional experience in information security in hands-on roles such as security engineering and/or application security Must be located within the US states of Florida, Texas, Illinois, New York, New Jersey, Colorado, Idaho, Massachusetts, Michigan Minnesota, Missouri, North Carolina, South Carolina, Utah, or Virginia Must be able to work core US Eastern Time hours as well as other times as needed Ability to travel to company offices, including international offices, or other locations occasionally as needed for meetings, training, to perform work tasks, etc. One or more industry-recognized security certifications: CISSP, CISM, CISA, CRISC, Security+, CASP+, CySA+, GAISE or other GIAC certifications preferred Collaborative work environment Competitive Salaries Yearly bonus Comprehensive benefits for you and your family starting Day 1 Flexible Paid Time Off Remote working environment TradeStation Account employee benefits, as well as full access to trading education materials Pay Range (US) $170-190K (Countries outside of the US have differing ranges in accordance with local labor markets)

IonQ is developing the world's most powerful full-stack quantum computer based on trapped-ion technology. We are pushing past the limits of classical physics and current supercomputing technology to unlock a new era of computing. Quantum computing has the potential to impact every area of human society for the better. IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. IonQ is at the forefront of this technological revolution. We are looking for a Principal Scientist – Fault-Tolerant Quantum Algorithms to lead the technical development in utilizing IonQ’s quantum computers to create highly differentiated quantum solutions that will bring value to society. As a Principal Scientist – Fault-Tolerant Quantum Algorithms, you’ll be be a visionary and pace-setter for a cross-functional team whose mission is to lead IonQ on a multi-generational journey to solve the world’s most complex problems using the world’s best quantum computers built at IonQ. As a world-renowned leader on fault-tolerant algorithms, you will help discover the next generation of quantum applications that are poised to deliver results exceeding state-of-the-art classical methods. You will play a key role in developing core IP, computational resource models, long-term roadmaps and end-to-end workflows that have the potential to disrupt the field of computing. You will also work closely with product, engineering, marketing, sales, operations, and external customers/partners to brainstorm new ideas, propose complex, multi-year initiatives and represent IonQ at high-visibility technical conferences (often all in a single day)! Responsibilities: Lead the conception, implementation and optimization of fault-tolerant quantum algorithms that will make a large scientific and commercial impact across a wide range of industry verticals Drive multi-disciplinary teams to identify, define and solve challenging problems using IonQ trapped-ion quantum computers. Inspire and influence IonQ stakeholders as well as external luminaries in academia / industry / government to contribute to moonshot collaborations. Be a go-to expert to do SWOT analyses of FTQC algorithms, especially as they compare to NISQ algorithms and classical HPC algorithms. Communicate the current state-of-the-art, competitive landscape, scaling behaviors, trade offs, cross-over points using language that is appropriate for technical, business and general audiences. Develop a portfolio of foundational IP, commercially relevant applications and high-impact-factor peer-reviewed publications. Contribute toward IonQ’s technical roadmap and share externally with academics, customers, press, investors, etc. You’d be a good fit with: PhD in Mathematics, Computer Science, Physics or another STEM domain, or equivalent work experience Professional work experience in the quantum computing field solving the toughest challenges for society World-class expertise in FTQC algorithms that can scale to millions of qubits, billions of gates with line-of-sight to end-customer value. Current portfolio of invited talks, repos, licenses, publications and/or patents Renowned contributor within the FTQC algorithm community including the development of tools (libraries, simulators, compiler), metrics (costing, resource estimation, ROI) and ecosystem (economic development, standards) Relentless dedication to optimizing quantum algorithms (accuracy, time-to-solution) through first-principles/elegant theoretical equations as well as engineering optimization; documented performance gains Mastery of key mathematical techniques used in quantum computing. Ability to communicate complex concepts to audiences ranging from domain experts to investors to the general public Ability to deliver excellence across all scales: technical leader, team player and IC You’d be a great fit with: 10+ years of professional work experience developing FT quantum algorithms that align with realistic industry problems such as computer-aided engineering, phase transitions, reaction modeling, etc. Ability to supervise and review codes in Python and Qiskit or similar quantum SDKs; working knowledge of C++. Ability to bring the best out of team members working in a customer-focused, rapidly changing environment Experience proposing, winning, and executing on consultative (paid) contracts; government contracting or defense contracting experience a plus Experience commercializing end-to-end software utilizing hybrid computing e.g. CPU + GPU + QPU, Edge, Cloud, etc. Knowledge of CI/CD a plus. Location: This position can work onsite or hybrid from one of our offices (College Park, MD, Bothell, WA) or fully remote in the US or Canada. Travel: Up to 10% Job ID: 1372 The approximate base salary range for this position is $221,925 - $290,558 . The total compensation package includes base, bonus, and equity. Compensation will vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Posted base salary figures are subject to change as new market data becomes available. Beyond base salary, total compensation includes a variable bonus and equity component and a range of benefit options found on our career site at ionq.co/jobs . Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. Our US benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, a home internet stipend, and pet insurance! IonQ's HQ is located in College Park, Maryland, just outside of Washington DC. We are actively building out our recently opened manufacturing and production facility in Bothell, WA (near Seattle). Depending on the position, you may be required to be near one of our offices in College Park, Seattle, Toronto, Canada, and Basel, Switzerland. However, IonQ will expand into additional domestic and international geographies, so don’t let this stop you from applying! At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. If you are interested in being a part of our team and mission, we encourage you to apply!