126 jobs found

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. We are seeking a Staff Software Engineer to provide technical leadership across the CoverMyMeds Access Engineering portfolio. Reporting to the Senior Director of Access Engineering, this role operates across multiple engineering teams and product domains, driving architectural consistency, engineering excellence, and technical strategy. This is a highly influential individual contributor role focused on solving complex technical challenges, improving engineering effectiveness, and shaping the future of software development within Access Engineering. Success in this position is measured by organizational impact, technical leadership, and the outcomes enabled across teams rather than individual code contributions alone. What You'll Do Technical Leadership & Architecture Define and influence architectural direction across the Access Engineering portfolio. Lead technical strategy for initiatives that span multiple products, systems, and engineering teams. Evaluate architectural tradeoffs and guide teams toward scalable, maintainable solutions. Create reusable technical patterns, reference implementations, and engineering standards. Engineering Excellence Establish and promote best practices for software quality, reliability, security, observability, and maintainability. Help teams improve automated testing, production readiness, operational excellence, and system performance. Drive consistency in engineering practices while minimizing unnecessary complexity. Platform & Developer Productivity Identify opportunities to improve shared tooling, platform capabilities, and development workflows. Reduce technical friction and operational overhead, enabling engineers to focus on delivering customer value. Champion improvements that increase engineering velocity, quality, and sustainability. AI-Enabled Engineering Define and advance Access Engineering's strategy for AI-assisted software development and AI-enabled engineering practices. Partner with enterprise AI teams to adopt established standards while identifying use cases specific to Access Engineering. Evaluate tools, practices, and safeguards that support the responsible use of AI throughout the software development lifecycle. Technical Mentorship & Influence Mentor senior engineers and help strengthen technical leadership across the organization. Foster a culture of technical excellence, knowledge sharing, and continuous improvement. Influence engineering, product, and leadership stakeholders through technical expertise and strategic thinking. Hands-On Technical Contribution Remain actively engaged with implementation details to ensure architectural decisions are practical and executable. Contribute to software design, prototyping, troubleshooting, and critical development efforts when appropriate. Partner with engineering teams to solve complex technical and operational challenges. Priority will be given to candidates who reside in the Columbus, OH metropolitan area. We are unable to provide sponsorship for this role presently or in the future. Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related technical field; equivalent practical experience considered. 10+ years of professional software engineering experience, including experience designing and building enterprise-scale software systems. Demonstrated experience leading technical initiatives across multiple teams, products, or organizational boundaries. Experience designing distributed systems, APIs, integration platforms, or cloud-native applications. Proven ability to influence technical direction without formal management authority. Experience mentoring engineers and driving engineering best practices. Critical & Required Skills The ideal candidate will demonstrate strong capabilities in the following areas: Software Architecture Enterprise application architecture Distributed systems design Microservices and service-oriented architectures API strategy and integration patterns Event-driven architectures System scalability and performance optimization Engineering Leadership Technical strategy and roadmap development Cross-team collaboration and influence Architectural governance and standards Technical decision-making and tradeoff analysis Leading large-scale, complex technical initiatives Software Quality & Reliability Automated testing strategies Observability and monitoring Site reliability principles Secure software development practices Production readiness and operational excellence Cloud & Modern Development Cloud-native architectures CI/CD and DevOps practices Infrastructure automation Modern software engineering practices Developer productivity and platform engineering concepts AI Readiness & Engineering Innovation Experience evaluating or implementing AI-assisted development tools Understanding of responsible AI practices and governance considerations Ability to identify practical AI use cases that improve engineering effectiveness Preferred Qualifications Experience in healthcare technology, health tech, pharmacy technology, payer technology, or regulated industries. Familiarity with prior authorization workflows, healthcare interoperability, or healthcare integrations. Experience supporting engineering organizations with 50+ developers across multiple products. Experience building developer platforms, shared services, or internal engineering tooling. Experience with architectural modernization initiatives involving legacy systems. Experience implementing engineering effectiveness metrics and software quality frameworks. Experience with AWS or other major cloud platforms. Prior experience serving as a Staff Engineer, Principal Engineer, Lead Architect, or equivalent senior individual contributor. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $155,300 - $258,800 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

TriNet is a leading provider of comprehensive human resources solutions for small to mid-size businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic partner and allowing them to focus on operating and growing their core businesses. Our full-service HR solutions include features such as payroll processing, human capital consulting, employment law compliance and employee benefits, including health insurance, retirement plans and workers' compensation insurance. TriNet has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you're passionate about innovation and making an impact on the large SMB market, come join us as we power our clients' business success with extraordinary HR. Don't meet every single requirement? Studies have shown that many potential applicants discourage themselves from applying to jobs unless they meet every single requirement. TriNet always strives to hire the most qualified candidate for a particular role, ensuring we deliver outstanding results for our small and medium-size customers. So if you're excited about this role but your past experience doesn't align perfectly with every single qualification in the job description, nobody's perfect - and we encourage you to apply. You may just be the right candidate for this or other roles. Role Overview As part of the Enterprise Data & Analytics team, the Senior Business Data Analyst - Planning & Modeling is responsible for leading functional analysis and conceptual solution design scenario planning, predictive modeling, and advanced analytics use cases. This role focuses on bridging business-driven modeling needs with technical implementation-partnering with Analytics and business teams to understand modeling methodologies, assumptions, and decisioning requirements, and translating them into scalable, reusable frameworks built on modern data platforms. Acting as the connective layer between model designers, end users, and engineering teams, this role ensures that models are not only analytically sound, but also operationalized as robust, scalable data solutions that drive consistent, enterprise-wide decision-making. Locations Atlanta, Georgia (In Office) Key Responsibilities Scenario Planning & Predictive Modeling Partner directly with model designers and end users to understand how models are constructed, used, and drive decision-making. Translate modeling approaches, assumptions, and workflows into clear functional requirements and structured logic for implementation by engineering teams. Ensure alignment between intended model design, business usage, and technical implementation, maintaining fidelity as models are operationalized. Act as the primary liaison between business stakeholders and engineering, ensuring models are accurately represented, scalable, and reusable within the data platform. Lead requirements discovery and facilitation for modeling use cases. Translate business needs into structured modeling logic and technical requirements (inputs, calculations, outputs). Document assumptions, business rules, and dependencies to ensure transparency and reproducibility. Ensure alignment of decisioning needs and intended model outcomes. Business & Functional Analysis Model Architecture & Data Understanding Define end-to-end model architecture, including: Inputs (source systems, drivers) Transformations and calculation logic Outputs (metrics, KPIs, reporting layers) Analyze and document data flows from source model consumption. Ensure alignment with data governance, lineage, and quality standards. Conceptual & Functional Solutioning Design modeling frameworks and patterns prior to technical implementation. Evaluate multiple approaches (e.g., centralized vs modular models, batch vs near real-time). Identify edge cases, gaps, and constraints that impact model accuracy and usability. Ensure solutions are extensible across multiple business domains and use cases. Delivery Partnership & Execution Support Partner with data engineering to operationalize models in the data lake and pipelines. Act as the functional lead through delivery, supporting build, validation, and UAT. Ensure alignment between business stakeholders and engineering throughout delivery. Validation & Continuous Improvement Perform model validation, reconciliation, and sensitivity analysis. Continuously refine models based on business feedback and evolving assumptions. Identify opportunities to standardize and scale modeling components. Establish best practices for scenario planning and predictive modeling on modern data platforms. Drive adoption of reusable modeling frameworks and patterns. Raise the bar on functional clarity, model documentation, and design quality. Thought Leadership Education Qualifications Bachelor's degree in Finance, Economics, Data Analytics, Information Management, Computer Science, or related field Experience Qualifications 6+ years in business analysis, data analysis, or modeling roles (financial, operational, or analytical). Experience building scenario planning, forecasting, or predictive modeling frameworks. Experience working across Analytics, Finance, and Engineering teams. Experience with modern data platforms (data lakes, pipelines) preferred. Skills & Abilities Strong expertise in scenario planning, forecasting, or predictive modeling. Ability to translate business needs into model logic and technical requirements. Strong understanding of driver-based modeling and dependencies. Familiarity with data platforms, SQL, and data pipelines (ETL/ELT). Strong communication skills across business and technical stakeholders. Experience with BI tools (Power BI, Tableau) preferred. Travel Requirements Minimal Travel Required Work Environment Work in clean, pleasant, and comfortable office. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable persons with disabilities to perform the essential functions. This position is 100% in office. The preferred location for this role is Atlanta, GA, and the salary range for this location is $70,800.00 to $141,600.00. All qualified external applicants will be considered for an in-office role, based in Atlanta. All qualified internal candidates are encouraged to apply and consider relocation to Atlanta and may be considered for remote hire at the company's discretion. The candidate's final salary offer will be based on the candidate's skills, education, work location and experience. A candidate's compensation may also include bonuses consistent with TriNet's corporate bonus plan. Additionally, subject to applicable eligibility requirements, TriNet offers permanent full-time employees a variety of benefits including medical, dental, and vision plans, life and disability insurance, a 401(K) savings plan, an employee stock purchase plan, eleven (11) Company observed holidays, PTO and a comprehensive leave program. Please click the following link for detailed information about our benefits offerings: Please Note: TriNet reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing. Position functions and qualifications may vary depending on business necessity. TriNet is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact to request such an accommodation.

TriNet is a leading provider of comprehensive human resources solutions for small to midsize businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic partner and allowing them to focus on operating and growing their core businesses. Our full-service HR solutions include features such as payroll processing, human capital consulting, employment law compliance and employee benefits, including health insurance, retirement plans and workers' compensation insurance. TriNet has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you're passionate about innovation and making an impact on the large SMB market, come join us as we power our clients' business success with extraordinary HR. Don't meet every single requirement? Studies have shown that many potential applicants discourage themselves from applying to jobs unless they meet every single requirement. TriNet always strives to hire the most qualified candidate for a particular role, ensuring we deliver outstanding results for our small and medium-size customers. So, if you're excited about this role but your past experience doesn't align perfectly with every single qualification in the job description, nobody's perfect - and we encourage you to apply. You may just be the right candidate for this or other roles. A Brief Overview As a Staff MLOps Engineer, you will play a pivotal role in designing, implementing, and optimizing machine learning operations within our infrastructure. You will collaborate closely with data scientists, software engineers, and other cross-functional teams to ensure the seamless deployment and maintenance of machine learning models. What you will do Develop, manage, and scale the infrastructure required for efficient and reliable machine learning model deployment, including orchestration, version control, and monitoring systems. Design and implement automation pipelines for model training, testing, validation, and deployment, integrating CI/CD practices to ensure smooth and consistent delivery of ML models. Deploy machine learning models into production environments, establishing monitoring and alerting systems to track model performance, health, and data drift. Proactively troubleshoot issues and optimize model efficiency. Collaborate with data scientists, software engineers, and DevOps teams to streamline the integration of machine learning solutions into existing software systems and workflows. Ensure adherence to security protocols and compliance standards throughout the machine learning lifecycle, implementing best practices for data privacy and model governance. Stay updated with the latest advancements in MLOps tools, technologies, and methodologies, and propose enhancements to existing processes to improve efficiency and reliability. Solve complex and ambitious problems by crafting elegant and impactful solutions. ontributes to technical innovations along with defining coding standards entors and support other members of the software development team and contribute to the software development best practices. Performs other duties as assigned Complies with all policies and standards Education Qualifications Bachelor's Degree in Computer Science/Engineering or equivalent experience preferred Experience Qualifications Typically 8+ years Proven experience working in a similar MLOps or DevOps role within a technical engineering environment. required Typically 8+ years Experience with programming languages such as Python, Java, or similar, along with experience with relevant ML frameworks (TensorFlow, PyTorch, etc.). required Experience with CI/CD pipelines, version control systems (Git), and automation tools. Skills and Abilities Knowledge of end-to-end SDLC process in EDW, Data Lake, BI & MLOps projects Dimensional Modeling and Data warehouse, ODS concepts, such as star schemas, snowflakes, and normalized data models Strong knowledge of containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP). Ability to coordinate effectively with on-site and offshore resources through Managed Service Providers & IT Teams Knowledge of Reporting tools like Tableau is desired Excellent verbal and written communication skills Strong Problem-solving and organizational skills and ability to work in a fast-paced, collaborative environment. Solid understanding of machine learning concepts, model development, and deployment strategies. Travel Requirements Minimal Work Environment Work in clean, pleasant, and comfortable office or home setting. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable persons with disabilities to perform the essential functions. The preferred location for this role is Atlanta, GA, and the salary range for this location is $125,000.00 to $275,000.00. All qualified external applicants will be considered for an in-office role, based in Atlanta. All qualified internal candidates are encouraged to apply and consider relocation to Atlanta and may be considered for remote hire at the company's discretion. The candidate's final salary offer will be based on the candidate's skills, education, work location and experience. A candidate's compensation may also include bonuses consistent with TriNet's corporate bonus plan. Additionally, subject to applicable eligibility requirements, TriNet offers permanent full-time employees a variety of benefits including medical, dental, and vision plans, life and disability insurance, a 401(K) savings plan, an employee stock purchase plan, eleven (11) Company observed holidays, PTO and a comprehensive leave program. Please click the following link for detailed information about our benefits offerings: Please Note: TriNet reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing. Position functions and qualifications may vary depending on business necessity. TriNet is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact to request such an accommodation.

GENERAL SUMMARY The Forward Deployed Platform Application Developer builds, configures, tests, and supports user-facing solutions within Skypoint, Salesforce Nonprofit Cloud, and other approved enterprise platforms. This field-facing role works closely with operational users and the Forward Deployed Process Lead to translate workflow and business needs into practical technology solutions, including workflows, automation, AI agents, dashboards, data visualizations, and other user-facing tools that improve efficiency, data quality, and user experience. ESSENTIAL RESPONSIBILITIES Builds, configures, and supports solutions within Skypoint, Salesforce Nonprofit Cloud, and other approved enterprise platforms Develops and maintains workflows, automation, AI agents, dashboards, reports, and user-facing tools Translates operational and business requirements into practical platform solutions in partnership with operational leaders and end users Tests, refines, deploys, documents, and supports platform solutions to ensure usability, reliability, security, and adoption Administers Salesforce Nonprofit Cloud including users, permissions, workflows, reports, dashboards, and automation tools Collaborates with BI, data, and technical teams to support reporting, integration, and data quality requirements Troubleshoots issues and escalates advanced infrastructure, cybersecurity, integration, or data engineering needs as appropriate Supports continuous improvement of workflows, system usability, automation, and user experience across enterprise platforms Follows organizational governance, security, change management, and documentation standards Performs other duties as assigned JOB SPECIFICATION Bachelor's degree in Computer Science, Information Systems, Business, or related field preferred; equivalent experience considered Experience administering, configuring, or supporting enterprise application platforms required Experience with Salesforce administration, configuration, or platform development preferred Experience or strong interest in Skypoint, AI platforms, automation tools, dashboards, analytics, or data visualization preferred Ability to build workflows, automation, dashboards, AI agents, and user-facing tools using low-code or no-code platforms Strong technical problem-solving skills and practical application development mindset Basic understanding of data structures, reporting, integrations, governance, and system-to-system data flow Ability to translate business requirements into effective platform solutions Experience testing changes, troubleshooting issues, supporting users, and documenting configurations preferred Salesforce Administrator or Developer certification preferred Local travel required Healthcare, payer/provider, PACE, senior care, value-based care, or HIPAA experience preferred Covid vaccine preferred. EEO Statement Element Care is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, sexual orientation, protected veteran status, or on the basis of disability. Element Care is committed to valuing diversity and contributing to an inclusive working environment. Compensation details: 00 Yearly Salary PIef07d8c50c1e-5870

Job Description Job Description Job Title: Service Engineer - Cheyenne, WY Location : Cheyenne, WY (onsite) Contract Duration: until 12/31/2026 possibility to convert FTE Working hours - 8-5 Mon-Fri, occasionally need to support different shift hours and on call. Job Posting Title: On-Site Service Engineer - AI Data Center Seeking an experienced On-Site Service Engineer (OSE) to support enterprise data center and server environments, including next-generation AI platforms. This is a hands-on, customer-facing role focused on maintaining uptime, resolving complex hardware issues, and delivering outstanding on-site service. Prior AI experience is not required-strong data center and server fundamentals are what matter most. What You'll Do Provide on-site support for Dell server and data center systems, ensuring rapid issue resolution and minimal downtime Perform hardware maintenance including server builds, swaps, component replacements, and firmware updates Troubleshoot system issues across hardware, firmware, and operating systems, escalating when appropriate Support both reactive and preventive maintenance following established procedures Collaborate with internal teams and customers during service events to ensure clear communication and resolution Document work performed and contribute to shared knowledge and best practices Participate in on-call rotations and support extended coverage when needed What You Bring Experience supporting servers or data center hardware in a field, enterprise, or customer-facing environment Hands-on skills with server components (CPU, memory, power supplies, GPUs, etc.) Familiarity with Linux or similar operating systems Strong troubleshooting and problem-solving abilities Comfortable working independently on-site and communicating clearly with customers Willingness to learn and support emerging technologies, including AI platforms Qualifications 3-5+ years of experience in technical support, field service, or data center roles Associate or bachelor's degree in IT or related field (or equivalent experience) Dell or other vendor certifications are a plus, but not required Ability to lift up to 50 lbs, travel to customer sites, and support flexible/on-call schedules Company Description TechLink Systems is a national provider of staffing services with offices all over the USA as well as development and support centers globally. We are a MBE (NMSDC), WBE (WBENC), and WOSB certified minority business that has been awarded 2017 TAPFIN Premier Partner, 2016 Manpower Excellence Award, 2016 TAPFIN Elite Partner, are a Known Tier Supplier for Agile 1, and have been ranked as a Top Women and Minority Owned Company since 2004 by several businesses including Philadelphia Business Journal, Diversity Business, Inc 5000, Inc 500, San Francisco Business Times, Diversity2000, and Los Angeles Business Journal. We serve the contract staffing, direct hire, staff augmentation, recruitment, HR management, and project outsourcing needs of clients nationwide. Striving to create personal relationships with clients, TechLink Systems becomes a virtual extension of clients' own in-house capabilities to help achieve new levels of growth, productivity, and competitiveness. Company Description TechLink Systems is a national provider of staffing services with offices all over the USA as well as development and support centers globally. We are a MBE (NMSDC), WBE (WBENC), and WOSB certified minority business that has been awarded 2017 TAPFIN Premier Partner, 2016 Manpower Excellence Award, 2016 TAPFIN Elite Partner, are a Known Tier Supplier for Agile 1, and have been ranked as a Top Women and Minority Owned Company since 2004 by several businesses including Philadelphia Business Journal, Diversity Business, Inc 5000, Inc 500, San Francisco Business Times, Diversity2000, and Los Angeles Business Journal. We serve the contract staffing, direct hire, staff augmentation, recruitment, HR management, and project outsourcing needs of clients nationwide. Striving to create personal relationships with clients, TechLink Systems becomes a virtual extension of clients' own in-house capabilities to help achieve new levels of growth, productivity, and competitiveness.

Genesis10 is currently seeking a Data Engineer - Remote for a contract position with a Leading Pharmacy Benefit Manager located in MN. This is a 5+ month contract opportunity. Compensation: $95.00 - $110.00 per hour, W2, based on qualifications Position Overview This position is responsible for the ongoing development, maintenance, support, and architecture of existing systems and platforms. The Data Engineer will ensure technology solutions are designed to meet resiliency, stability, and operational readiness use cases while providing thought leadership to champion data management strategies for real-time data pipelines. Key Responsibilities Ensure technology solutions are designed to meet resiliency, stability, non-functional, functional, and operational readiness requirements. Oversee ongoing development, maintenance, and support of existing systems and platforms. Design, develop, and maintain scalable ETL/ELT and streaming data pipelines using Apache Beam, Apache Airflow, Google Cloud Dataflow, Google Cloud Composer, Python, Java, and SQL. Experience developing and supporting real-time data pipelines using Apache Kafka. Develop and optimize cloud-based data storage solutions using Google Cloud Storage and Google BigQuery. Provide thought leadership and champion software engineering best practices, innovative solutioning, and Agile and DevOps best practices. Participate in staffing plans to identify subject matter experts (SMEs) and provide feedback for staff performance reviews. Own technology solutions within area, including proactive monitoring and alerting, technology roadmap planning, communication of overall platform health, and future sustainability. Partner with Architecture, Infrastructure, and Security teams to ensure excellence in solution design and evolution of systems architecture. Other duties as assigned. Primary Requirements Bachelor's degree in Computer Science, Data Science, Statistics, or a related field, or equivalent combination of education and relevant work experience. High School Diploma or GED equivalent required. 8+ years of experience in application development, software engineering, or data engineering. Proven experience designing, developing, and supporting enterprise data pipelines and cloud-based data platforms. Hands-on experience with Google Cloud Platform technologies including Google Cloud Storage, BigQuery, Cloud Composer, Dataflow, Dataplex, and Apache Beam. Programming experience with Python, Java, and SQL. Experience building and supporting orchestration workflows using Apache Airflow and/or Google Cloud Composer. Proven experience with multiple development and support methodologies. Ability to manage work direction and lead, influence, mentor, and provide feedback to others within the team. Ability to drive innovation and think strategically. Excellent written, technical, and verbal communication skills. Established presenter of technical and non-technical material adapted to various audiences. Ability to translate abstract concepts into comprehensive technical solutions. Strong problem-solving and business analysis skills. Strong decision-making and judgment. Excellent documentation skills. Desired Skills Master's degree in Computer Engineering, Data Science, Statistics, or a related field. Certifications in cloud and data technologies, preferably Google Cloud Platform. Relevant ETL or data engineering certifications. Experience with Confluent Kafka libraries or Apache Kafka for streaming data integration Support enterprise data governance and metadata management using Google Dataplex. Experience working in environments with regulatory compliance requirements (HIPAA, PCI, etc.). Previous experience working in an Agile/Product Delivery model. Understanding of security implications within cloud and data platforms. Experience with GitHub, GitHub Copilot, and modern DevOps practices. Experience developing dashboards or reporting solutions using Google Looker Studio and/or IBM Cognos. Previous experience in the healthcare, PBM, or financial services industries. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Senior Fullstack Developer (Remote) Primary Location: Remote V-Soft Consulting is currently hiring for a Senior Fullstack Developer (Remote) for our premier client. Education and Experience " Must-Have Skills: 6 - 10 years of full stack development experience, backend-heavy. Deep Java and Spring Boot experience. Kafka and event-driven architecture experience. PostgreSQL or strong relational database experience. Cloud experience, preferably AWS, but Azure is acceptable. Python experience for backend or data workflows. Experience modernizing legacy microservices and distributed systems. DevSecOps mindset, automated testing, CI/CD, and secure coding. Experience supporting both new builds and existing systems. Experience with IoT, high-volume data pipelines, sensors, or detector systems. Ability to mentor junior developers and provide technical leadership. Ability to lead full-stack projects from design through deployment. Nice-to-Have Skills: React or Angular experience. React Native experience for the mobile-focused opening. AI-assisted development experience with Copilot, Gemini, ChatGPT, OpenAI, or similar tools. Spark, Elasticsearch, or similar distributed data tools. Rules engine experience. Enterprise modernization experience. WHAT YOU'LL DO: Job Responsibilities: This role supports the Mechanical/Hub and Terminal teams, focused on modernizing major legacy systems that support freight operations, rolling stock maintenance, detector systems, hub movement, terminal activity, and container flow from origin to destination. The modernization scope is large and includes multiple MQs, legacy microservices, IoT data ingestion, high-volume detector/sensor data, and 600+ rulesets that need to be replatformed. The environment processes 30M+ data points from detectors, so candidates need to be comfortable working in high-volume distributed systems. The client is looking for engineers who can support both new development and existing system modernization. This person should be able to work independently, mentor junior developers, communicate clearly, and lead full-stack work from design through deployment. Interested? Qualified candidates should send their resumes to V-Soft Consulting Group is recognized among the top 100 fastest growing staffing companies in North America, V-Soft Consulting Group is headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V-Soft is known as an agile, innovative technology services company holding several awards and distinctions and has a wide variety of partnerships across diverse technology stacks. As a valued V-Soft Consultant, you're eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more. V-Soft is partnered with numerous Fortune 500 companies, exceptionally positioned to advance your career growth. V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. For more information or to view all our open jobs, please visit or call .

JOB TITLE: Hadoop Developer JOB LOCATION: Jacksonville, FL m(hybrid) WAGE RANGE : 55 - 60/ hour JOB NUMBER: 20499 JOB DESCRIPTION A Hadoop developer is responsible for the design, development and operations of systems that store and manage large amounts of data. Most Hadoop developers have a computer software background and have a degree in information systems, software engineering, computer science, or mathematics. IT Developers are responsible for development, programming, coding of Information Technology solutions. IT Developers are responsible for documenting detailed system specifications, participation in unit testing and maintenance of planned and unplanned internally developed applications, evaluation and performance testing of purchased products. IT Developers are responsible for including IT Controls to protect the confidentiality, integrity, as well as availability of the application and data processed or output by the application. IT Developers are assigned to moderately complex development projects. Essential Functions: • Write code for moderately complex system designs. Write programs that span platforms. Code and/or create Application Programming Interfaces (APIs). • Write code for enhancing existing programs or developing new programs. • Review code developed by other IT Developers. • Provide input to and drive programming standards. • Write detailed technical specifications for subsystems. Identify integration points. • Report missing elements found in system and functional requirements and explain impacts on subsystem to team members. • Consult with other IT Developers, Business Analysts, Systems Analysts, Project Managers and vendors. • "Scope" time, resources, etc., required to complete programming projects. Seek review from other IT Developers, Business Analysts, Systems Analysts or Project Managers on estimates. • Perform unit testing and debugging. Set test conditions based upon code specifications. May need assistance from other IT Developers and team members to debug more complex errors. • Supports transition of application throughout the Product Development life cycle. Document what has to be migrated. May require more coordination points for subsystems. • Researches vendor products / alternatives. Conducts vendor product gap analysis / comparison. • Accountable for including IT Controls and following standard corporate practices to protect the confidentiality, integrity, as well as availability of the application and data processed or output by the application. • The essential functions listed represent the major duties of this role, additional duties may be assigned. Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.

Job Title: Senior Data Management Business Analyst (1111) Location: Brooklyn, OH 44144 (Onsite at 4910 Tiedeman Rd) Duration: Contract - 10 months Pay Range: $60/hr $65/hr (W2) Job ID: 407853 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Senior Data Management Business Analyst to join our Enterprise Data & Analytics Services (EDAS) team. The ideal candidate will have strong experience in enterprise data analysis, data management, data governance, and source-to-target mapping and a proven ability to translate complex business needs into actionable data requirements and deliver scalable, governed data solutions across on-prem and cloud platforms. Responsibilities: Engage stakeholders to elicit, analyze, document, and validate enterprise data requirements, including CDEs, business rules, data quality expectations, metadata, and lineage. Translate business needs into data specifications, source-to-target mappings, transformation logic, and consumption requirements for analytics, reporting, and operations. Perform data profiling, impact and gap analysis, root-cause analysis, and validation across multiple systems and platforms including GCP and BigQuery. Analyze and document end-to-end Data Supply Chain processes, integrations, and data movement, including review of Ab Initio graphs and ETL processes. Create and maintain current-state and future-state data flow diagrams, business process flows, and detailed mapping documentation. Support data lineage and traceability from source through analytics and operational layers, documenting control points and reconciliation processes. Partner with Data Engineers, Data Modelers, and Data Architects to align designs with enterprise standards and target architecture. Support Agile delivery through requirements clarification, testing support, UAT assistance, and implementation readiness. Advance Data Governance practices by defining CDEs, supporting stewardship, improving metadata, and documenting lineage in Alation. Prepare executive-ready presentations, impact assessments, status updates, and decision-support materials. Required Skills & Qualifications: Advanced SQL and data analysis capabilities with strong analytical problem-solving skills. Deep understanding of relational databases, data warehousing, enterprise data architecture, and integration concepts. Proficiency creating source-to-target mappings, transformation specifications, business rules, and data flow documentation. Experience with data profiling, impact assessments, lineage analysis, validation, and data quality controls. Familiarity with metadata management and data governance practices, including CDE definition and stewardship. Experience with Jira and Confluence and strong facilitation and documentation skills. Education: Bachelor's degree in Business, Information Systems, Computer Science, Analytics, Data Management, Finance, or related field, or equivalent experience. Experience level: 8+ years in Business Analysis, Data Analysis, Data Management, Integration, Governance, or Warehousing within large enterprises. Preferred Skills: 10+ years supporting enterprise data initiatives in Financial Services or Banking. Experience with Enterprise Data Governance, Data Quality, Regulatory Data, and Data Risk programs, including CDE certification and lineage. Hands-on familiarity with Alation Data Catalog and documenting lineage, metadata, and business definitions. Experience reviewing Ab Initio data flows, integrations, and mappings. Experience with Google Cloud Platform and BigQuery and with cloud migration or modernization initiatives. Agile/Scrum delivery experience. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.

At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society. Job Summary The Senior Robotics Automation Engineer is a highly experienced technical leader responsible for advancing the design, integration, optimization, and long-term operational strategy of robotic and automated laboratory systems within the Smart Research Laboratory. This role requires deep expertise in laboratory automation, engineering principles, scientific workflows, and biopharma research operations, combined with the ability to influence technical direction, guide cross-functional decision-making, and mentor less experienced engineers and scientists. This individual will play a critical role in shaping automation strategy, evaluating emerging technologies, translating scientific needs into scalable automation solutions, and ensuring that robotic systems deliver reliable, precise, and high-quality performance in support of advanced drug discovery and research innovation. In addition to hands-on technical execution, the Senior Robotics Automation Engineer will provide strategic guidance on system architecture, workflow design, vendor selection, platform sustainability, risk mitigation, and continuous improvement of automated laboratory capabilities. The role requires regular on-site presence due to the highly integrated, hands-on nature of laboratory robotics, instrumentation, scientific equipment, and automation workcell operations. Job Description Responsibilities Lead the design, implementation, testing, optimization, and lifecycle management of complex robotic and automated laboratory workcells, including integrated hardware, software, instrumentation, scheduling, and control systems. Serve as a senior technical authority for laboratory automation platforms, providing expert guidance on system architecture, workflow design, equipment selection, integration strategy, operational scalability, and long-term platform reliability. Partner with scientific, engineering, informatics, facilities, IT, and operational stakeholders to translate complex research needs into robust, scalable, and sustainable automated solutions that improve laboratory productivity, data quality, reproducibility, and research throughput. Evaluate, integrate, configure, troubleshoot, and maintain advanced laboratory automation systems, including liquid handlers, dispensers, pipettors, plate movers, robotic arms, plate sealers and desealers, acoustic transfer devices, multimodal assay readers, incubators, storage systems, and related scientific instrumentation. Develop, review, and optimize automation methods using orchestration and instrument-control platforms such as Momentum, Venus, InstinctS, and related automation APIs, ensuring methods are reliable, maintainable, validated, and aligned with scientific requirements. Provide senior-level oversight for method development, hardware integration testing, system validation, risk assessment, troubleshooting, and performance optimization across automated laboratory workflows. Lead or significantly contribute to automation roadmap planning, technology assessments, vendor evaluations, equipment acquisition decisions, and strategic recommendations that shape the future capabilities of the Smart Research Laboratory. Collaborate with external vendors and internal stakeholders to implement advanced robotics capabilities, including motion planning, multi-axis actuation, control systems, autonomous mobile robotics, device communication, and integration of novel automation technologies. Guide the validation, deployment, and continuous improvement of Autonomous Mobile Robot systems and other emerging automation platforms, ensuring safe, reliable, and effective operation within a research laboratory environment. Mentor junior automation engineers, scientists, and cross-functional users by providing technical coaching, training, design review, troubleshooting support, and best-practice guidance for automated workflows and robotic systems. Establish and maintain high-quality technical documentation, including system designs, integration plans, validation records, risk assessments, maintenance procedures, troubleshooting guides, and workflow specifications. Lead complex problem-solving efforts in a fast-paced research environment, balancing immediate operational needs with long-term platform strategy, system sustainability, safety, and scientific impact. Drive continuous improvement initiatives that increase automation reliability, reduce operational bottlenecks, improve assay execution quality, and expand the organization's ability to adopt advanced automated research capabilities. Qualifications Education Qualifications Bachelor's Degree in science, engineering, robotics, automation, computer science, life sciences or a related field required Advanced degree (M.S. or Ph.D.) is preferred Experience Qualifications Requires 5-7 years of hands-on experience designing, integrating, programming, validating, maintaining, and optimizing automated laboratory equipment, robotic systems, or complex scientific instrumentation in a research or biopharma environment Prior experience in biopharma, pharmaceutical, biotechnology, drug discovery, translational research, or advanced laboratory automation environment is required Demonstrated ability to lead technically complex automation projects from concept through implementation, including requirements gathering, design evaluation, vendor coordination, installation, integration, testing, validation, documentation, user training, and operational handoff. Advanced experience with laboratory automation platforms and orchestration software such as Hamilton Venus, Thermo Scientific Momentum, InstinctS, or comparable automation-control environments. Strong working knowledge of laboratory robotics, instrument communication, scheduling systems, device APIs, mechanical and electrical integration, liquid handling principles, assay workflow automation, and system-level troubleshooting. Experience developing or supporting software tools, scripts, APIs, or applications using modern programming languages such as Python, Java, C#, or comparable languages to improve automation performance, data handling, system monitoring, or workflow control. Proven ability to partner with scientific teams to identify high-value automation opportunities, evaluate technical feasibility, define requirements, and deliver solutions that support research quality, throughput, reproducibility, and innovation. Experience influencing technical decisions, guiding platform strategy, mentoring colleagues, and providing senior-level recommendations to scientific, operational, and leadership stakeholders. Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Salary Range: USD$136,080.00 - USD$204,120.00 Download Our Benefits Summary PDF

Tomorrow RNG is a renewable natural gas (RNG) producer focused on reducing emissions and creating a greener future. With cutting-edge facilities and a dedicated team of over 125 professionals, we seamlessly integrate the RNG value chain to ensure excellence for our landfill partners and the communities we serve. Guided by values of integrity and sustainability, Tomorrow RNG is backed by Enbridge's 175+ year pedigree in the natural gas industry, delivering top-tier assets that exceed customer and partner expectations. Position Summary The IIoT Systems Architect is responsible for the strategy, design, implementation, and lifecycle management of industrial automation, control systems, and digital infrastructure supporting renewable natural gas (RNG) production facilities. This position serves as the technical lead for PLC, HMI, SCADA, instrumentation, industrial networking, and IIoT initiatives while driving standardization, cybersecurity, operational reliability, and digital transformation across multiple operating facilities. Working closely with Operations, Engineering, Maintenance, IT/OT, and project teams, the IIoT Systems Architect develops scalable automation solutions, leads controls projects, and provides hands-on technical expertise to improve plant performance, system reliability, and operational efficiency. Key Responsibilities Design, develop, maintain, and optimize PLC, HMI, and SCADA systems supporting RNG plant operations. Develop control logic, sequencing, interlocks, permissives, shutdowns, alarming, and process automation strategies. Lead commissioning, startup, troubleshooting, and optimization of control systems. Maintain controller backups, version control, change management, and system lifecycle planning. Develop and maintain the organization's IIoT architecture, digital infrastructure, and automation standards. Design edge-to-cloud data collection, visualization, historian, reporting, and remote-monitoring solutions. Standardize automation architecture, device naming, tag structures, alarm philosophies, and system integration methods across facilities. Identify and implement technologies that improve operational efficiency, plant reliability, uptime, and decision-making. Design, configure, document, and support industrial Ethernet and operational technology network infrastructure. Manage communications among PLCs, RTUs, VFDs, analyzers, instrumentation, HMIs, SCADA platforms, historians, and enterprise systems. Support secure remote connectivity, network segmentation, access controls, backup practices, and cybersecurity standards. Maintain current network diagrams, IP addressing plans, device inventories, and system documentation. Support instrumentation integration, calibration coordination, signal validation, and long-term maintainability of measurement systems. Develop and maintain control narratives, I/O lists, cause-and-effect matrices, alarm lists, and control philosophies. Assist with P&ID reviews, panel design, loop checks, field verification, device checkout, and system integration. Develop preventive, predictive, and corrective maintenance strategies for automation, controls, instrumentation, and industrial network assets. Support root cause investigations and corrective actions for recurring control system, instrumentation, and communication failures. Establish and monitor system health metrics, alarm analytics, downtime reporting, and reliability performance indicators. Train and mentor maintenance and operations personnel on system functionality, troubleshooting techniques, and change-management practices. Lead automation and controls projects from initial concept and scope development through design, procurement, implementation, commissioning, and closeout. Develop project scopes, technical specifications, schedules, budgets, resource plans, and management updates. Coordinate contractors, system integrators, panel builders, vendors, IT resources, and internal stakeholders. Lead or support factory acceptance testing, site acceptance testing, site walkdowns, punch-list resolution, startup planning, and operational turnover. Ensure project deliverables include complete documentation, system backups, as-built drawings, training materials, and operational support requirements. Provide hands-on field support for control panels, industrial network devices, instrumentation, PLCs, HMIs, and SCADA-connected infrastructure. Support emergency troubleshooting and restoration activities involving critical automation or process control systems. Partner with Engineering, Operations, Maintenance, IT/OT, EHS, and external vendors to support capital projects, plant reliability, and continuous improvement initiatives. Evaluate emerging technologies, software platforms, and hardware solutions for operational suitability, cybersecurity alignment, and return on investment. Support regulatory, quality, and internal audit requirements related to automation records, alarm history, data retention, system access, and change documentation. Perform other related automation, controls, project, and technical leadership duties as assigned. Qualifications Bachelor's degree in Electrical Engineering, Automation Engineering, Computer Engineering, Engineering Technology, Computer Science, or a closely related technical discipline is preferred. Equivalent combinations of education, military training, technical certifications, and progressively responsible industry experience will be considered. 5 - 8 years of experience supporting industrial automation, PLCs, HMI/SCADA systems, instrumentation, industrial networking, or process control systems in manufacturing, energy, RNG, oil & gas, chemical, or other industrial process environments. Experience with PLC programming, HMI/SCADA configuration, instrumentation, and industrial Ethernet networks. Experience supporting commissioning, troubleshooting, maintenance, and continuous improvement of industrial control systems. Strong understanding of industrial automation best practices and a commitment to safe, reliable plant operations. Preferred Qualifications Rockwell Automation (Studio 5000/FactoryTalk) certifications Ignition by Inductive Automation experience/certification Cisco CCNA or Industrial Networking certification ISA Certified Automation Professional (CAP) CompTIA Security+ or ISA/IEC 62443 Cybersecurity training PMP certification (preferred but not required). Requirements Up to 40% of travel to field and corporate locations is required. Work Environment & Travel Work Location: This position is based in a regional office with travel to field sites as needed. Schedule/Shift: Benefits: Benefits: 401(k) Health, Dental & Vision Insurance Life Insurance PTO Supplemental Pay: Bonus Pay PIfe03e29888e5-7316

DCI Job Requirement for: Data Engineer Location: Washington, D.C. Required: Active Secret Security Clearance Job Description: Serve as a Data Engineer on a cross-functional team to help solve pressing problems Integrate data, transform insights, and build applications for operational decisions Setup transfers of data feeds from source systems into location Write transformations and derive new datasets using Spark for distributed computation Monitor build progress and debug build problems Design applications that address operational questions Execute requests for information (RFI's) surrounding the platform's data footprint Work with product teams while debugging/understanding the code backing our platform Qualifications: BS in Computer Science / Engineering (or related career field) preferred Strong Data Engineering background Experience with Spark, Pyspark, and/or Pandas Extensive experience coding/programming in: Python SQL, R or Similar Strong understanding of algorithms and data structures as they pertain to development Experience with Foundry is preferred Required: Active Secret Security Clearance Job Type: Full-time Compensation details: 00 Yearly Salary PI378c93138e08-0971

We are a mission-driven technology startup transforming the way in-home care is delivered through innovative AI solutions. Our platform unifies signals from cameras, sensors, wearables, and connected devices to turn raw data into secure, real-time insights and closed-loop care actions; giving families peace of mind, seniors dignified independence, and providers the tools to deliver safer, more proactive care. We're a small, mission-driven team tackling one of the most important challenges of our time: helping people age safely and independently at home. If that excites you, we'd love to have you join us. ABOUT THE ROLE: We need a Technical Product Manager who can be our in-house lead, someone who partners with our existing AI engineer contractors to keep building, rather than just handing off specs and waiting. This isn't a traditional PM role. You'll be embedded across our portfolio of vertical businesses, working directly with contractors and teams, moving between projects as priorities shift. You'll own both the technical product thinking and the hands-on execution of prototypes, MVPs, internal tools, and integrations, especially in the early, resource-light stages before a project has its own dedicated engineering team. As the team grows, this role is expected to evolve into hiring and managing other builders - so we're looking for someone who can operate as a strong senior individual contributor now and step into people leadership as the portfolio scales. Reporting directly to the CEOå and Head of Product, you'll evaluate priorities, identify tradeoffs, and provide recommendations on product direction, technical decisions, and resource allocation across multiple initiatives. While the CEO retains final decision-making authority, you'll provide the analysis, recommendations, and operational leadership needed to keep projects moving efficiently and effectively. As our portfolio grows, this role will evolve from a senior individual contributor into a people leadership position. You'll help define and build the product function, with the opportunity to hire, mentor, and lead additional builders as the organization scales. WHAT YOU'LL OWN: Product Strategy Across Multiple Projects Partner with business unit leads to define product direction, technical scope, and priorities - often for ventures still finding product-market fit. Translate ambiguous, early-stage ideas into clear requirements, PRDs, and success metrics. Prioritize building now vs. later, given that resources are shared across the portfolio and every project is competing for the same attention. Support in building technical narratives for decks and funding rounds Hands-On Building Personally build MVPs, prototypes, and early product versions - this may mean writing code, configuring no-code/low-code tools, or standing up integrations, depending on the project. Ship fast, validate with real users or data, and iterate - favoring working software over polished documentation. Build the internal tools and lightweight automation that let small or nonexistent teams punch above their weight. Working Across a Portfolio Move between 2-4 active projects at a time, context-switching without losing momentum on any of them. Standardize just enough process (documentation, handoff notes, basic architecture decisions) that a project can survive you rotating off it. Identify patterns and reusable components across business units - no reason to rebuild the same login flow or admin panel five times. Communicate clearly and frequently with non-technical stakeholders who may not have visibility into the technical details. Judgment & Prioritization Triage constantly: with limited time and sometimes no dedicated team per project, you decide what gets your attention this week. Push back on scope creep and unrealistic timelines when a project's ambitions outpace its resourcing. Recognize when projects require additional resources and proactively recommend solutions. Validate the work and technical quality of our offshore teams Growing the Function As the portfolio scales, help define and build out the builder/product function - potentially hiring and managing additional Technical PMs or product engineers. QUALIFICATIONS: Required 6+ years in product management or a hybrid product/engineering role, with direct, hands-on building experience (not purely spec-writing) - scripting, front-end/back-end development, no-code platforms, or technical prototyping all count. Comfortable working on multiple unrelated projects simultaneously, often with incomplete information and no dedicated team. Strong technical fluency: able to read code, understand system architecture, and make informed build/buy/integrate decisions. Experience taking a product from zero to a working first version, ideally in an early-stage or startup environment. Excellent written and verbal communication - you'll be the connective tissue between technical execution and business stakeholders who don't share your context by default. Preferred Prior experience at a startup studio, venture builder, holding company, or multi-brand/multi-subsidiary organization. Familiarity with traditional engineering and AI no-code/low-code tools (Experience standing up projects that were later handed off to dedicated engineering teams. Background in a technical discipline (CS, engineering) or equivalent self-taught technical depth. Exposure to robotics; IoT is a nice-to-have, not a requirement. WHAT SUCCESS LOOKS LIKE: Multiple projects have working, validated product versions that started as your prototypes or the support you've given other builders. Business unit leads trust you to make the right call on scope and priority without hand-holding. Projects you've rotated off of continue running smoothly because you left them in a maintainable state. Leadership has a clear, current picture of which projects are gaining traction and which need investment or should be sunset, informed by your product judgment. You've laid the groundwork to bring on and manage additional builders as the portfolio grows. A NOTE TO FIT: This role suits someone who gets energy from variety and ambiguity, not someone who wants deep, singular focus on one product for years. We value curiosity, ownership, humility, speed, and thoughtful debate. Strong opinions are welcome, and they should be backed by data and a willingness to adapt. The pay range for this role is: 100,000 - 150,000 USD per year(Culver City, CA) PI3f235fb0e9eb-4744

Role Summary Our client, a rapidly growing AI infrastructure company, is seeking multiple AI Engineers (Enterprise) to help design, build, and deploy production-grade generative AI solutions for enterprise customers. This is a customer-facing, hands-on engineering role that combines deep technical expertise with solution architecture and client engagement. You will partner closely with enterprise organizations to transform generative AI concepts into scalable production systems while collaborating with internal engineering and product teams to drive innovation. Strong candidates will have experience deploying AI/ML solutions in production environments, working with large language models (LLMs), and supporting enterprise customers through complex technical implementations. Key Responsibilities Enterprise AI Solutions Lead technical discovery sessions with enterprise customers to understand business requirements and define AI solution strategies. Scope and execute proof-of-concept (POC) projects, performance testing, and solution evaluations. Design, build, and deploy production-ready AI applications within customer environments. Recommend appropriate model architectures, deployment strategies, and infrastructure based on customer requirements. Advise customers on model fine-tuning and optimization techniques, including supervised fine-tuning and other modern training approaches. Develop evaluation frameworks to measure model performance and production readiness. Customer Engagement Serve as the primary technical advisor for enterprise customers throughout implementation and deployment. Build relationships with technical and executive stakeholders. Guide customers through infrastructure, security, and compliance considerations. Support successful production rollouts and ongoing technical adoption. Cross-Functional Collaboration Partner with Product and Engineering teams to communicate customer feedback and influence product improvements. Identify recurring customer challenges and contribute to product roadmap discussions. Collaborate internally to improve deployment processes and customer success. Required Qualifications 3+ years of experience in customer-facing AI/ML, machine learning infrastructure, solutions engineering, or related technical roles Proven experience deploying AI/ML applications into production environments Hands-on experience with large language model (LLM) inference and/or model training using open-source model frameworks Strong Python programming skills Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) Experience with containerization and orchestration technologies, including Kubernetes Excellent communication skills with the ability to engage both technical teams and executive stakeholders Ability to manage multiple enterprise projects in a fast-paced environment Preferred Qualifications Experience with modern LLM fine-tuning methodologies such as supervised fine-tuning (SFT) and other advanced optimization techniques Background in enterprise AI solution architecture or technical consulting Experience working within high-growth startup environments Strong understanding of enterprise infrastructure, security, and compliance requirements Experience supporting large-scale customer deployments Ideal Candidate Profile Successful candidates typically have: Experience building and deploying production AI solutions rather than purely research or advisory work Strong knowledge of open-source LLM frameworks and inference platforms Experience working directly with enterprise customers throughout implementation and deployment The ability to translate complex technical concepts for both engineering teams and executive leadership A collaborative mindset with a passion for solving complex customer challenges Experience working in fast-paced, high-growth environments Schedule & Travel Full-time position Remote-friendly within the United States Preference for candidates located near major East or West Coast metropolitan areas, though exceptional remote candidates will be considered Regular domestic travel to customer sites for technical discovery, proof-of-concept implementations, and production deployments Compensation Competitive base salary Performance-based bonus or on-target earnings (OTE) Equity package Compensation commensurate with experience and qualifications Benefits Comprehensive medical, dental, and vision insurance Equity participation Performance-based bonus opportunities Flexible remote work environment Professional development and career growth opportunities Opportunity to work with cutting-edge generative AI technologies on enterprise-scale deployments Collaborative, fast-paced engineering culture