Jobs at IT-SCIENT

This fully remote legal role within Humana's Law Department focuses on providing strategic counsel for artificial intelligence initiatives, litigation, and e-Discovery. The position requires a qualified attorney to support enterprise-wide AI projects by developing governance frameworks, ensuring regulatory compliance, and advising cross-functional teams on risk management. Key responsibilities include drafting AI guidance materials, managing e-Discovery processes, and serving as a trusted advisor to senior leadership on complex legal and non-legal issues. The role appeals to professionals seeking to impact the future of healthcare technology within a collaborative culture that prioritizes whole-person well-being. Candidates must be based in specific U.S. locations including Louisville, Chicago, Washington DC, Atlanta, or Nashville, and possess at least five years of experience with a focus on AI and data privacy regulations.

This full-time Technical Specialist role at Eurofins Scientific in St. Louis supports the company's mission to ensure product safety and sustainability through advanced analytical testing. The position focuses on bridging technical expertise with client needs by developing customized project proposals, formulating effective analytical solutions, and providing accurate quotes. Key responsibilities include building strong customer relationships to expand business opportunities, supporting the sales team with technical insights, and maintaining deep knowledge of diverse analytical methods. The role appeals to candidates seeking a dynamic environment within a global leader in life sciences, offering opportunities for professional growth and the chance to work on impactful projects across food, pharmaceutical, and environmental sectors. The position operates on a standard Monday through Friday schedule with flexibility, requiring candidates to be based within commuting distance of St. Louis.

This entry-level Quality Assurance role at Eurofins Scientific supports the Columbia, Missouri laboratory team in ensuring the safety and accuracy of life sciences testing. The position involves reviewing client laboratory reports for compliance, monitoring quality systems such as CAPA and change controls, and collaborating with scientific staff to resolve data deficiencies. The role is appealing for its opportunity to work within a global leader in analytical testing, offering a stable environment with comprehensive benefits and a clear path for professional growth. The position is full-time and on-site, requiring a bachelor's degree in a relevant scientific field.

The Group Leader, Bioassay role involves leading a scientific team within a contract research laboratory at Eurofins in Columbia, Missouri. The position focuses on overseeing daily laboratory operations, ensuring study execution meets regulatory standards like GMP, and managing staff scheduling to optimize productivity. Key responsibilities include mentoring analysts, conducting root cause analysis for deviations, and communicating study progress directly with clients. This opportunity appeals to professionals seeking a leadership position within a global life sciences leader known for its entrepreneurial culture and rapid growth. The role offers a full-time schedule with flexibility and access to comprehensive benefits, supporting a career dedicated to ensuring product safety and quality in the pharmaceutical and food industries.

This full-time Sample Coordinator role is based at the Eurofins laboratory in North Brunswick, New Jersey, within the life sciences testing division. The position focuses on managing the intake and tracking of client samples, ensuring accuracy from receipt through distribution. Key responsibilities include inspecting incoming products against submission forms, logging data into laboratory information systems, coordinating with clients regarding sample status, and assisting finance teams with work-in-progress tracking. The role appeals to candidates seeking a stable career in a global scientific leader known for its decentralized and entrepreneurial culture. The position offers comprehensive benefits and requires a standard Monday through Friday schedule with occasional overtime, ideal for those living within commuting distance of the facility.

This Executive Director role leads the Immunology and Cardiovascular Discovery Biology group within Bristol Myers Squibb's Thematic Research Center, based in Lawrenceville, NJ, and Cambridge, MA. The position involves driving strategic direction for early discovery programs, managing complex projects from target validation through clinical development, and fostering external collaborations with academic and industry partners. Key responsibilities include identifying novel therapeutic targets, optimizing drug discovery approaches, and mentoring diverse scientific teams. The role is appealing for its opportunity to lead high-impact research that transforms patient lives, offering a collaborative culture that encourages scientific publishing and conference presentations. The position requires an on-site presence to facilitate innovation and teamwork within a supportive environment focused on work-life balance and professional growth.

The Recreation Leader - Aquatics role within the City of Gainesville Parks, Recreation and Cultural Affairs department oversees daily operations, safety, and staffing for aquatic facilities. Key responsibilities include supervising lifeguards and instructors, managing water quality and facility maintenance, coordinating program schedules, and ensuring compliance with safety standards. This position appeals to community-focused individuals seeking to make a direct impact on local quality of life while leading a team in a mission-driven environment. The role offers the opportunity to develop new programs and foster community engagement through aquatic activities. Work arrangements involve a flexible schedule that may include early mornings, evenings, weekends, and holidays, with duties performed primarily on-site at city aquatic centers.

This AI Agent Software Engineer role within NetApp's Information Engineering team focuses on building automated workflows for technical content and documentation. Key responsibilities include designing and deploying AI-driven agents to normalize and optimize content, creating semantic enrichment pipelines for improved findability, and establishing governance patterns to ensure responsible AI outcomes. The position appeals to candidates seeking to work at the intersection of content strategy and advanced AI, offering the chance to shape infrastructure for a leading data infrastructure company. The role operates within a hybrid work environment that balances in-office collaboration with flexibility, fostering a culture that rewards bold thinking, ownership, and continuous innovation.

This AI Agent Software Engineer role within NetApp's Information Engineering team focuses on building automated workflows and AI-driven solutions for technical content management. Key responsibilities include designing multi-agent systems to normalize and optimize content, developing semantic enrichment pipelines for improved findability, and establishing governance patterns to ensure responsible AI outcomes. The position appeals to candidates seeking to work at the intersection of engineering and content strategy within a forward-thinking organization. The role offers a hybrid work arrangement and emphasizes a culture that rewards bold thinking, ownership, and the ability to drive innovation in data infrastructure.

This AI Agent Software Engineer role within NetApp's Information Engineering team focuses on building automated workflows and AI-driven solutions for technical content management. Key responsibilities include designing agent-based systems to normalize and optimize content, developing semantic enrichment pipelines for improved findability, and establishing governance patterns to ensure responsible AI outcomes. The position appeals to candidates seeking to work at the intersection of content strategy and advanced AI, offering the chance to shape infrastructure for a leading data infrastructure company. The role operates within a hybrid work environment that balances in-office collaboration with flexibility, fostering a culture that rewards bold thinking, ownership, and cross-functional innovation.

This AI Agent Software Engineer role within NetApp's Information Engineering team focuses on building automated workflows for technical content and documentation. The position involves designing and deploying AI-driven agents to normalize source content, creating semantic enrichment pipelines for improved findability, and establishing governance patterns to ensure responsible AI outcomes. The role appeals to candidates seeking to work at the intersection of content strategy and advanced AI, offering the chance to solve real-world challenges in a high-impact environment. The team fosters a culture of innovation and ownership, encouraging bold thinking and cross-functional collaboration. The position operates within a hybrid work arrangement that balances in-office connection with remote flexibility.

This AI Agent Software Engineer role within NetApp's Information Engineering team focuses on building automated workflows and AI-driven solutions for technical content management. Key responsibilities include designing multi-agent systems to normalize and optimize content, implementing semantic enrichment pipelines for improved findability, and establishing governance guardrails to ensure responsible AI outcomes. The position appeals to candidates seeking to work at the intersection of content strategy and advanced AI, offering the chance to shape infrastructure for a leading data infrastructure company. The role supports a hybrid work arrangement and fosters a culture that values bold thinking, cross-functional collaboration, and continuous innovation in a rapidly evolving technical landscape.

This onsite Hardware Reverse Engineer role at Two Six Technologies focuses on identifying vulnerabilities in complex embedded systems for mission-critical platforms. The position involves analyzing hardware and firmware behaviors, rapidly prototyping technologies to exploit targets, and communicating findings to both technical and non-technical stakeholders. Additional duties include operating a cyber range to test engineering prototypes and documenting standard operating procedures. The opportunity appeals to professionals seeking to solve unsolved security challenges within a collaborative R&D environment that values innovation and trust. Candidates must hold an active Top Secret clearance and be willing to travel up to 25%. The role is based at the Laurel, MD office.

This full-time Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building scalable infrastructure for foundation model hosting and large language model inference. The position involves designing and deploying AI software components, optimizing LLM performance for cost and latency, and implementing governance and observability tools using technologies like PyTorch and AWS. The role appeals to candidates seeking to apply cutting-edge research to real-world banking challenges while contributing to a culture of responsible AI innovation. The team collaborates cross-functionally to deliver high-impact products, offering opportunities for technical growth and shaping the future of AI systems in a major financial institution.

This Lead AI/ML Engineer role within the Intelligent Foundations and Experiences team focuses on building scalable, responsible AI infrastructure and platforms at Capital One. Key responsibilities include designing and deploying large language model systems, optimizing foundation model training and inference for performance and cost, and implementing governance and observability tools using technologies like Kubeflow and PyTorch. The position appeals to technical leaders who thrive on solving undefined problems and applying cutting-edge research to real-world banking challenges. The role offers the opportunity to shape the long-term technical vision for AI while working in a collaborative environment that values innovation, quality, and the mission to transform banking for good.

This senior distinguished AI engineering role at Capital One focuses on building responsible and scalable AI systems within the Intelligent Foundations and Experiences team. The position involves designing and deploying large-scale AI components, including foundation model training, LLM inference, and optimization techniques to enhance performance and cost efficiency. Key responsibilities include partnering with cross-functional teams to deliver AI-powered products, leveraging technologies like PyTorch and AWS, and contributing to the long-term technical vision for foundational AI. The role appeals to candidates passionate about applying cutting-edge research to transform banking, offering the opportunity to solve undefined problems in a collaborative environment that values technical excellence and innovation. The position is based in various US locations including Cambridge, McLean, New York, Richmond, San Francisco, and San Jose.

This distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on architecting and launching conversational experiences powered by state-of-the-art Generative AI for millions of customers. Key responsibilities include designing and deploying large-scale AI systems involving foundation model training, LLM inference, and optimization techniques to ensure scalability and low latency. The position requires collaborating with cross-functional teams to integrate advanced technologies like PyTorch and vector databases while contributing to the long-term technical vision of the organization. The role is appealing for its opportunity to lead breakthrough product experiences that transform banking, offering a culture that values innovation, technical excellence, and responsible AI deployment. The position is based in major hubs including Cambridge, McLean, or New York.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing core Large Language Models and Agentic AI systems to transform banking experiences. The position involves designing, training, and validating foundation models while leveraging technologies like PyTorch and AWS to extract insights from vast datasets. Key responsibilities include collaborating with cross-functional teams to deliver scalable AI products, conducting high-impact research on emerging technologies, and translating complex technical concepts into tangible business solutions. The role appeals to candidates seeking to work at the forefront of AI innovation in a collaborative environment that values creativity, leadership, and ethical decision-making. It offers the opportunity to drive the next generation of customer interactions through cutting-edge machine learning research and engineering.

This Applied Researcher I role within Capital One's AI Foundations team focuses on developing trustworthy AI systems to transform banking experiences. The position involves partnering with cross-functional teams to build and deploy large-scale foundation models, utilizing technologies like PyTorch and AWS to extract insights from vast datasets. Key responsibilities include managing the full research lifecycle from design and training to evaluation and implementation, while translating complex technical concepts into tangible business value. The role appeals to candidates passionate about pushing the boundaries of machine learning and deep learning, offering the opportunity to work on high-impact projects that redefine customer interactions. The position is based in major hubs including Cambridge, McLean, New York, and San Francisco, providing a collaborative environment dedicated to innovation and ethical AI development.

This Applied Researcher I role within Capital One's AI Foundations team focuses on developing multi-agent systems and knowledge graph technologies to transform banking operations. The position involves building scalable AI architectures using frameworks like LangGraph and MCP, designing foundation models from design through implementation, and collaborating with cross-functional teams to deliver intelligent customer experiences. The role appeals to candidates passionate about pushing the boundaries of AI research, offering the opportunity to work with cutting-edge tools on high-impact problems that redefine software development and customer service. The position requires a strong engineering mindset to deploy models at scale and supports a culture of innovation where emerging technologies are continuously evaluated and applied to real-world business challenges.

The Applied Researcher I role is based within the AI Foundations team at Capital One, focusing on developing trustworthy and reliable AI systems for the banking sector. Key responsibilities include partnering with cross-functional teams to deliver AI-powered products, building and training large-scale foundation models using technologies like PyTorch and AWS, and translating complex research into tangible business solutions. The position appeals to candidates passionate about pushing the boundaries of machine learning to reimagine customer experiences. It offers a collaborative environment where researchers can own their agendas and work on high-impact projects that combine academic rigor with real-world application.

This Manager, Product Management role within Capital One's Enterprise Payments team focuses on defining the digital payments roadmap and modernizing legacy systems into a cloud-based, real-time environment. The position involves shaping product strategy, collaborating with cross-functional teams of engineers and designers, and delivering intuitive payment experiences for diverse customer segments. The role is appealing for its opportunity to drive innovation in a tech-centric culture that is redefining industry standards for faster payments. It offers a dynamic environment where candidates can leverage technology to solve complex problems and lead transformational initiatives while working on high-impact projects that blend digital design with backend integration.

This Senior Lead Machine Learning Engineer role sits within an Agile team focused on productionizing AI and ML systems for Capital One's Credit and Financial Risk Management products. The position involves leading engineering pods, designing scalable AI architectures, and building intelligent applications using technologies like LLM inference and agentic AI. Key responsibilities include mentoring teams, developing robust data pipelines, ensuring model governance and responsible AI practices, and managing the full lifecycle of model deployment and monitoring. The role appeals to candidates seeking to apply cutting-edge machine learning innovations in a collaborative environment while working with a broad stack of cloud-based technologies. The position is based in various US locations including Cambridge, McLean, New York, and Richmond.