Rag Pipelines Jobs

The AI Architect II role is a senior technical leadership position within ICW Group's IT department, focused on modernizing the company's technology platform and transforming the insurance carrier space. Key responsibilities include establishing architectural standards for AI solutions such as RAG pipelines and agentic workflows, designing scalable cloud architectures on AWS, and overseeing MLOps practices for reliable model deployment. The role also involves leading the evaluation of emerging AI technologies and ensuring responsible AI practices across the enterprise. This position is appealing due to the opportunity to drive innovation in a stable, 50-year-old organization with a strong people-first culture. The job offers a hybrid work arrangement and provides significant support for professional growth and continuous learning.

This Senior Manager role within PwC's Data and Analytics Engineering team focuses on leading the development of innovative AI and machine learning solutions specifically for health systems. The position involves designing and implementing advanced algorithms, building RAG pipelines, and managing model governance in regulated environments to transform clinical data into actionable insights. Key responsibilities include serving as a strategic advisor to clients, fostering high-performing diverse teams, and navigating complex healthcare challenges to drive operational excellence. The opportunity is appealing for its focus on cutting-edge generative AI applications in healthcare, offering significant professional growth through continuous learning and the chance to shape industry standards. The role requires up to 80% travel and operates within a hybrid work arrangement.

This AI Engineer and Back-End Developer role sits within the Scientific Computing team at Corteva Agriscience, focusing on the intersection of data engineering and seed product development. The position involves designing and maintaining production-ready APIs, collaborating with scientists to translate domain problems into robust software solutions, and optimizing large-scale batch compute jobs for numerically intensive workloads. The role appeals to pragmatic engineers who value end-to-end ownership and the opportunity to build platforms that integrate AI tools into breeding pipelines. It offers a mission-driven environment where employees contribute to global agricultural innovation, supported by extensive development opportunities, comprehensive health benefits, and a culture that encourages autonomy and knowledge sharing.

The Data Scientist II role focuses on Generative AI within a pioneering team dedicated to transforming raw data into actionable intelligence and scalable agentic systems. Key responsibilities include designing and implementing Gen AI-powered agents to streamline workflows, optimizing internal evaluation frameworks for reliable model performance, and leading experiments to balance efficiency with cost. The position offers the opportunity to mentor junior staff, collaborate across engineering and product functions, and drive cultural adoption of AI tools. This role is appealing for its focus on cutting-edge technology, the chance to shape organizational innovation, and a supportive environment that values continuous learning and advanced technical growth.

This senior individual contributor role focuses on designing and building agentic AI systems that operate autonomously across American Express's enterprise. The position involves defining technical architecture for intelligent workflows, developing core frameworks for planning and tool use, and ensuring system reliability, safety, and compliance within a regulated financial environment. Key responsibilities include leading technical design reviews, integrating large language models into production pipelines, and mentoring engineering teams to raise technical standards. The role appeals to candidates seeking high-impact work at the intersection of advanced AI and large-scale distributed systems. It offers a collaborative culture with opportunities to shape the future of commerce through innovation, supported by a commitment to open source and professional growth. The position is available in a hybrid or virtual arrangement depending on location and business needs.

The Director Enterprise Architecture role at HP is a senior leadership position responsible for defining the global technology strategy that drives digital transformation and AI-enabled innovation. The incumbent will establish the enterprise architecture vision, lead application portfolio rationalization to reduce technical debt, and design reference architectures for scalable AI and data platforms. This position requires partnering with executive leadership to govern standards, manage risk, and ensure security-by-design across a complex, multi-geo environment. The role appeals to candidates seeking to shape the future of technology in a culture that values collaboration, innovation, and professional growth. It offers the opportunity to lead a high-performing team in a global organization where diverse perspectives are encouraged and long-term career mobility is supported.

This senior leadership role at a Fortune 500 energy company involves directing the architecture and evolution of an enterprise data platform that powers analytics, operations, and AI initiatives across the organization. The position requires defining a multi-year strategy for a modern data stack including Snowflake and dbt, while championing agentic development practices and AI-assisted engineering workflows. Key responsibilities include establishing data governance and quality standards, managing cloud infrastructure costs, and leading a federated team of engineers and managers. The role is appealing for its opportunity to shape the future of data at a major industry player, offering a collaborative culture that values innovation, professional growth, and the chance to drive significant digital transformation.

This senior AI engineering role focuses on designing and operationalizing enterprise-grade AI solutions within a highly regulated environment. The position requires technical leadership to define reference architectures and oversee the end-to-end lifecycle of complex AI systems, including the implementation of generative AI patterns and automated MLOps pipelines. Key responsibilities involve building scalable production services, embedding governance and security controls directly into engineering workflows, and mentoring teams to elevate engineering best practices. The role offers the opportunity to work with advanced technologies like Azure and Databricks while bridging the gap between experimentation and secure, compliant production deployment. The position is based in Toronto or Dallas with an onsite requirement of three to four days per week, appealing to candidates seeking to lead critical AI initiatives in a high-impact, regulated industry.

This full-time Manager Data Science role leads a specialized Generative AI team within AIG's global insurance division, focusing on transforming risk management through innovative AI solutions. The position involves overseeing the end-to-end development and production deployment of enterprise-level generative AI projects, building evaluation frameworks for large language models, and mentoring junior data scientists. Key responsibilities include executing technical delivery plans, collaborating with cross-functional product and engineering teams, and maintaining hands-on involvement in prompt engineering and agentic architectures. The role is appealing for its opportunity to shape the future of AI in a leading global organization, offering a culture of inclusion, professional development, and the chance to work on groundbreaking technology. The position requires primarily in-office collaboration to foster a connected and supportive team environment.

This part-time AI/ML engineering role supports a global digital transformation team in developing next-generation enterprise AI solutions. The position involves validating machine learning and LLM outputs for accuracy, assisting with dataset preparation and labeling, and contributing to prompt engineering experiments. The role offers a flexible, fully remote arrangement with approximately 20 hours per week, allowing for independent work alongside senior architects. It is particularly appealing for early-career engineers seeking hands-on experience with real-world model evaluation, production-bound AI systems, and high-visibility initiatives within a collaborative engineering environment.

The Junior Data Platform Engineer role supports Trulioo's global digital identity verification platform by building and maintaining data pipelines and models. Key responsibilities include assisting with data ingestion and transformation, designing data structures for SQL, NoSQL, and vector databases, and integrating machine learning models for entity resolution and search optimization. This position offers a hybrid work arrangement based in San Diego with three days in the office, providing access to a collaborative culture recognized as a top employer. The role is appealing for its focus on mentorship, exposure to modern data technologies, and the opportunity to contribute to a mission that fosters global trust and economic inclusion.

This senior presales role serves as the primary technical authority for SHI International Corp's Data & AI practice, focusing on Microsoft AI solutions like Copilot, Azure AI Foundry, and Power Platform. The position involves owning revenue targets, leading discovery workshops, and architecting integrated solutions that combine AI agents with data governance and security foundations. Key responsibilities include developing multi-agent orchestration strategies, creating proof-of-concept demonstrations, and presenting strategic roadmaps to C-suite executives. The role appeals to candidates seeking to shape the future of enterprise AI through hands-on agent development and market-making initiatives. It offers a collaborative environment within a diverse, global organization that prioritizes continuous professional growth, leadership opportunities, and a concierge approach to client success.

The Senior Data Scientist II role within LexisNexis Legal & Professional focuses on designing and validating Agentic AI solutions for the legal domain. The position involves developing NLP and large language model strategies, defining agentic workflows for complex multi-step tasks, and establishing robust evaluation metrics for hybrid search systems. Key responsibilities include analyzing large-scale legal datasets, translating experimental results into product recommendations, and mentoring junior team members. This opportunity appeals to professionals seeking to lead technical initiatives in a global organization committed to ethical AI and societal impact. The role offers a collaborative environment where data scientists work closely with engineers and legal experts to build scalable, customer-facing tools.

This Senior Data Scientist III role within LexisNexis Legal & Professional focuses on designing and validating Agentic AI solutions for the legal domain. The position involves leading experimentation with large language models, NLP, and generative AI to create multi-step reasoning workflows and hybrid search strategies. Key responsibilities include defining retrieval methods, evaluating model performance on large-scale legal datasets, and translating technical results into scalable product recommendations while mentoring team members. The opportunity appeals to candidates seeking to apply cutting-edge AI technology to transform legal workflows within a global organization. The role emphasizes technical leadership and collaboration with engineers and legal experts to deliver ethical, high-impact solutions.

The Sales Supervisor role at rag & bone supports the Georgetown Men's store team in driving sales performance and maintaining high service standards. Key responsibilities include mentoring sales associates, managing daily store operations, and collaborating with visual merchandising on floor presentations. This position appeals to candidates seeking a collaborative, inclusive culture that values authenticity and creativity within the luxury retail sector. The full-time position offers a comprehensive benefits package including wellness support and paid time off, with opportunities for growth within a brand committed to original ideals.

This on-site IT and AI development internship in Cedar Park, Texas, offers a 16-week supervised educational experience focused on modern software engineering and e-commerce technologies. The role involves assisting with the development of Shopify Plus applications, integrating AI-powered customer engagement tools, and contributing to REST API and database tasks using PostgreSQL. Interns will also help build analytics dashboards and participate in automated testing while following secure coding practices. The position is appealing due to its strong emphasis on mentorship, including weekly sessions with senior developers and company-sponsored access to Harvard's AI course. Participants gain real-world project experience, build a professional portfolio, and receive a recommendation letter upon completion. The program features a flexible 20-hour weekly schedule to accommodate academic commitments and provides a pathway to future paid opportunities based on performance.

This full-time Data Scientist role supports the Product Development Data Science Team at Cavallo, a company building profit-technology solutions for the manufacturing and distribution sectors. The position focuses on the end-to-end data science lifecycle, including transforming raw data into robust features, building scalable predictive models, and deploying machine learning algorithms directly into software products. Key responsibilities involve partnering with product teams to align business goals with data strategies, analyzing complex distribution problems to identify margin opportunities, and translating technical findings into clear, actionable insights for stakeholders. The role appeals to candidates seeking a collaborative, people-first culture with a legacy of innovation since 2003. It offers the opportunity to work with modern AI and ML frameworks in an environment that values creativity, ownership, and measurable value creation. The position is based at the Grand Rapids headquarters.

This onsite Network Security L3 role in Dallas, Texas, involves managing daily operations and leading a team of engineers within a large-scale security environment. Key responsibilities include designing and implementing security architectures using Checkpoint firewalls, Cloudflare WAF, Zscaler, and Aruba ClearPass, while resolving complex L3 outages and authentication issues. The position requires creating automation scripts, maintaining compliance with NIST and CIS standards, and driving service improvements through data-driven reporting. The role is appealing for its opportunity to mentor staff, lead innovation initiatives, and work with cutting-edge cloud and network security technologies in a collaborative culture focused on continuous professional development.

This onsite Network Security L3 role in Dallas involves leading a team to manage complex security operations for large-scale customer environments. Key responsibilities include designing and implementing security architectures using Checkpoint firewalls, Zscaler cloud security, and Aruba ClearPass, while providing critical L3 support for outages and resolving advanced authentication issues. The position emphasizes driving operational efficiency through automation, maintaining compliance with NIST and CIS standards, and mentoring engineers to close skill gaps. The role is appealing for its focus on innovation, cross-skilling across multiple cloud platforms, and the opportunity to lead strategic improvements in service delivery within a collaborative culture.

This tenured Software Development Engineer III role at Capital Group focuses on designing and implementing distributed systems and data-intensive applications to support critical investment capabilities. Key responsibilities include architecting scalable cloud-native services, building reliable data workflows, and developing agentic AI systems to automate complex analytical tasks. The position emphasizes a culture of ownership where engineers guide systems from ideation through production support while mentoring peers and influencing technical direction. The role appeals to candidates seeking a collaborative environment that values diverse perspectives, offers flexible work options, and provides robust professional development resources. Based in Southern California, the position combines deep technical challenges in AI and data engineering with a mission-driven approach to improving investor outcomes.

This senior applied scientist role within Amazon's Leo Satellite Build Intelligence team focuses on developing the scientific intelligence layer for satellite manufacturing. The position involves designing and deploying machine learning models, including LLM-based systems, to transform fragmented data into a unified, closed-loop system that drives production decisions. Key responsibilities include translating ambiguous manufacturing challenges into defined scientific problems, training models on large-scale noisy datasets, and building evaluation frameworks to ensure production readiness. The role appeals to candidates seeking to work at the intersection of AI and physical-world systems, offering the opportunity to influence scientific direction, mentor teams, and contribute to AI-native manufacturing processes. The position is based in California or Washington and requires U.S. citizenship or permanent residency due to export control regulations.

The Deployed Customer Engineer role serves as a technical bridge between Couchbase's engineering team and clients, acting as an embedded partner to deliver mission-critical AI and database solutions. Key responsibilities include writing production-grade code for integrations, designing advanced data architectures featuring Vector Search and RAG patterns, and troubleshooting complex distributed systems within customer environments. This position appeals to polyglot developers seeking to solve hard problems while collaborating directly with cross-functional teams to drive business outcomes. The role offers a dynamic environment where employees can leverage a flexible cloud platform to power applications from the cloud to the edge, supported by a culture that values innovation, diverse perspectives, and professional growth.