Lead Data Implementation Specialist Jobs

Generative AI Architect Location: New York, NY & Orlando, FL | Practice Area: Technology & Engineering | Type: Permanent Shape the architecture of enterprise-scale generative AI solutions at the forefront of innovation The Role As part of Capco’s Technology Delivery Team, you will apply deep expertise in architecture, AI, and modern engineering practices to design and deliver next-generation solutions. As a Generative AI Architect, you will lead the definition and implementation of scalable, secure, and enterprise-grade AI systems, guiding projects from concept through to production while aligning technology with strategic business goals. What You’ll Do Define and deliver enterprise-wide architecture for generative AI and agentic systems aligned to business objectives Design scalable, modular solution patterns and integrate foundation models into enterprise environments Architect and implement agentic AI systems, including workflows, orchestration, and system integrations Establish robust cloud-native infrastructure and MLOps pipelines for deployment, monitoring, and lifecycle management Collaborate across teams, mentor colleagues, and contribute to innovation and thought leadership in AI What We’re Looking For Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field 10+ years of experience in software architecture, including hands-on work with AI/ML systems Strong expertise in generative AI, foundation models, and agentic AI frameworks Proficiency in Python and experience with leading AI/ML frameworks and cloud platforms (AWS, Azure, or GCP) Proven ability to communicate complex technical concepts and influence technical decision-making WIllingness to work in our office 3 days/week Bonus Points For Experience with prompt engineering and advanced RAG-based architectures Familiarity with vector databases and unstructured data processing techniques Experience implementing MLOps frameworks and production-grade AI systems Exposure to c

About the Team The Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. The Integrity team is at the front lines of defending against misuse in all its forms: content abuse, scaled attacks, and other actions that could undermine the user experience or harm our operational stability. About the Role As a Machine Learning Engineer in OpenAI's Integrity team, you will have the opportunity to work with some of the brightest minds in AI. You’ll work on state-of-the-art models and classifiers, experiment with new architecture and approaches, and push forward our abilities in content and user understanding. You’ll help turn research breakthroughs into tangible solutions that improve the trust and safety of our platform. If you're excited about training LLMs and building ML models, this role is your chance to make a significant mark. In this role, you will: Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches. Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices. Make a Difference: Monitor and maintain deployed m

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As an Industry 4.0 (I4.0) Product Owner at Micron Technology, Inc., you will lead the definition, development, and delivery of end-to-end smart manufacturing solutions to empower Micron Assembly and Test Operation to improve cost, scale, quality and productivity. You will bridge business, engineering, and data science teams to drive Industry 4.0 transformation, leveraging industry best methods, advanced analytics, automation, and AI/ML to optimize planning and manufacturing operations. This role requires deep expertise in I4.0 technologies and strong hands-on data science skills to deliver impactful, scalable solutions across global operations. Key Responsibilities Product Ownership & I4.0 Leadership Define and drive the I4.0 product roadmap, aligning with business objectives and manufacturing strategies. Lead cross-functional teams (engineering, IT, data science, operations) to deliver integrated smart manufacturing solutions. Gather, analyze, and prioritize requirements from end users and stakeholders, develop business cases, validate impact, and propose high-ROI projects for implementation. Understands business problems and effectively translates user requirements into technical specifications—and vice versa—for data science, technical

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is transforming the future of data and we are looking for a dynamic Manager, Technical Delivery to lead our Snowflake Professional Services team. As strategic experts in implementing the Snowflake platform, we engage with customers to optimise, accelerate, and drive meaningful business outcomes through cutting-edge technology solutions. As a Manager, Technical Delivery, you will lead teams executing complex migrations from legacy systems to the Snowflake platform. Your role will involve close collaboration with customers and system integrators to understand requirements, design robust migration strategies, and oversee seamless transitions. Your leadership will ensure that Snowflake is positioned as the premier solution in data warehousing and analytics, influencing both technical and executive stakeholders. AS A MANAGER, TECHNICAL DELIVERY AT SNOWFLAKE, YOU WILL: Lead and develop a team of Solutions Architects and Consultants, who serve as our Snowflake implementation, optimisation, development and delivery experts. • Mentor and manage a team of Snowflake Solutions Architects and Consultants helping them to develop their expertise Play an active role in sourcing and screening potential candidates and managing the interview process Be a technical expert on all aspe

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The opportunity: The Account Manager will help their clients grow and realize the Flexport value proposition by deeply understanding the client’s supply chain and partnering to find solutions for their clients. Our clients depend on us to manage their experience with a high degree of professionalism and attention to detail. Your responsibilities as an Account Manager include, but are not limited to, the following: Cultivate and grow relationships with key business stakeholders that empower the client and deepen the relationship with Flexport. Meet regularly with clients to monitor the account health and find ways to improve on their current experience. Use your knowledge of the client to identify, develop, and close upsell, cross sell and renewal opportunities. Keep a close pulse on client financial health, reporting on the client’s financials and ensuring clients maintain consistent payment schedules. Lead and actively participate in client onboarding and creating standard operating procedures. Scope and guide the implementation stages and timelines for new opportunities and clients. Monitor client metrics data, working with Global Operati

This role is part of Datadog’s Security Agent team, which powers critical security capabilities across Workload Protection, Vulnerability Management, Cloud Security products, and other emerging security offerings. As a Staff Software Engineer, you will lead the design and development of low-level Linux instrumentation and runtime security technologies that help customers detect threats, monitor system activity, and protect cloud-native workloads at scale. You will work on complex technical challenges involving eBPF, Linux kernel internals, performance-sensitive systems, and large-scale data collection while influencing technical direction across multiple product teams. This role offers significant ownership, broad organizational impact, and the opportunity to shape the future of Datadog’s security platform. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead the architecture and development of security agent capabilities that power runtime threat detection and workload protection across Datadog Security products. Design and build reusable eBPF-based monitoring functionality for process, file, and network visibility within Linux environments. Drive end-to-end delivery of new features, from technical strategy and design through implementation, testing, and rollout. Establish and evolve testing methodologies that improve platform coverage, detection quality, reliability, and performance. Partner with product, security, infrastructure, and engineering teams to deliver shared platform capabilities used across multiple Datadog products. Provide technical leadership by influencing engineering direction, mentoring peers, and helping resolve complex cross-functional challenges. Who You Are: You have significant experience building software in Linux environments,

This role is part of Datadog’s Security Agent team, which powers critical security capabilities across Workload Protection, Vulnerability Management, Cloud Security products, and other emerging security offerings. As a Staff Software Engineer, you will lead the design and development of low-level Linux instrumentation and runtime security technologies that help customers detect threats, monitor system activity, and protect cloud-native workloads at scale. You will work on complex technical challenges involving eBPF, Linux kernel internals, performance-sensitive systems, and large-scale data collection while influencing technical direction across multiple product teams. This role offers significant ownership, broad organizational impact, and the opportunity to shape the future of Datadog’s security platform. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead the architecture and development of security agent capabilities that power runtime threat detection and workload protection across Datadog Security products. Design and build reusable eBPF-based monitoring functionality for process, file, and network visibility within Linux environments. Drive end-to-end delivery of new features, from technical strategy and design through implementation, testing, and rollout. Establish and evolve testing methodologies that improve platform coverage, detection quality, reliability, and performance. Partner with product, security, infrastructure, and engineering teams to deliver shared platform capabilities used across multiple Datadog products. Provide technical leadership by influencing engineering direction, mentoring peers, and helping resolve complex cross-functional challenges. Who You Are: You have significant experience building software in Linux environments,

This role is part of Datadog’s Security Agent team, which powers critical security capabilities across Workload Protection, Vulnerability Management, Cloud Security products, and other emerging security offerings. As a Staff Software Engineer, you will lead the design and development of low-level Linux instrumentation and runtime security technologies that help customers detect threats, monitor system activity, and protect cloud-native workloads at scale. You will work on complex technical challenges involving eBPF, Linux kernel internals, performance-sensitive systems, and large-scale data collection while influencing technical direction across multiple product teams. This role offers significant ownership, broad organizational impact, and the opportunity to shape the future of Datadog’s security platform. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead the architecture and development of security agent capabilities that power runtime threat detection and workload protection across Datadog Security products. Design and build reusable eBPF-based monitoring functionality for process, file, and network visibility within Linux environments. Drive end-to-end delivery of new features, from technical strategy and design through implementation, testing, and rollout. Establish and evolve testing methodologies that improve platform coverage, detection quality, reliability, and performance. Partner with product, security, infrastructure, and engineering teams to deliver shared platform capabilities used across multiple Datadog products. Provide technical leadership by influencing engineering direction, mentoring peers, and helping resolve complex cross-functional challenges. Who You Are: You have significant experience building software in Linux environments,

Husky is what we call the distributed, petabyte-scale columnar event store at the heart of our Event Platform, which powers dozens of Datadog’s most popular products – Logs, RUM, APM , Cloud Network Monitoring, Netflow, and many more. Husky was built from the ground up at Datadog to store and query massive volumes of event data at low cost, with data fully queryable within seconds of arrival. As an Engineering Manager on Husky, you will lead one of a few closely collaborating teams that work directly on Husky’s internals. We own the full lifecycle of events stored by our Event Platform – whether it’s managing the ingestion of over 100 million events per second exactly-once , optimizing the persistence layer with lightning-fast compaction , tweaking our columnar format, timely deletion across hundreds of thousands of customer tables, or building the metadata service that enables hundreds of thousands of queries per second – you will be responsible for the growth and success of a team constantly meeting new scalability requirements driven by Datadog’s growing customer base and suite of products. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Manage a team of software engineers ranging from new grads to senior engineers, focusing on career development, inclusivity, and high impact Be a technical leader of the team; while the role may not involve frequent hands on coding, you’ll be reviewing architecture decisions, RFCs, and pull requests and ensuring what the team ships is high quality Partner with product teams to evaluate use cases, ensure smooth implementation, and prioritize new platform capabilities. Share on-call responsibilities with the rest of the team and ensure a culture of operational exc

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Security Compliance Architect to join our team. This is a San Jose, CA preferred; remote candidates will be considered for the role, which is reporting to the Director, Technology Risk & Compliance in the Exposure Management & Security Operations department. You will shape and scale security compliance across highly regulated cloud environments, translating complex regulatory requirements into practical technical and operational solutions. By working closely with cross-functional teams, you will support authorization efforts, strengthen control maturity, and build scalable compliance practices that enable business growth. What you’ll do (Role Expectations) Lead the design and implementation of security compliance architecture for cloud environments subject to FedRAMP and DoD IL5 requirements Interpret and operationalize control requirements from frameworks such as NIST SP 800-53, Fed

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is the role We're looking for a Principal Software Engineer to join the Elasticsearch - Search team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principal software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features, enhancements to existing vector search functionality, and resolving bugs. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing Lead initiatives within Elasticsearch to produce an industry-leading vector database offering, supplying unparalleled speed and relevance in search. Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorit

Client Onboarding Director, Inference and Agentic AI Location: Noida Company: Paytm About Paytm Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. Paytm is building a full stack AI platform focussed on Inference and Agents, enabling large enterprises to deploy AI driven automation across sales, service, operations, and analytics. The Inference and Agentic AI team operates as a cross functional unit spanning engineering, product, data science, business management, and sales, and owns the full lifecycle of AI solutions from opportunity discovery to deployment and scale. Role Overview Paytm is looking to hire a Client Onboarding Director to own implementation delivery and client onboarding governance for Paytm’s AI Inference and Agentic AI products across enterprise clients. This is a managerial role that will lead Client Onboarding Managers and ensure that enterprise deployments move smoothly from sales closure to go live and early adoption. The role sits at the intersection of client teams, product, engineering, business, and sales, and is responsible for converting signed enterprise deals into successful, timely, and scalable deployments. The candidate will own delivery planning, integration governance, risk management, stakeholder communication, and post go live stabilization across enterprise AI agent deployments. The role requires strong program management, technical understanding, client handling, and ability to drive execution across multiple internal and external teams. Key Responsibilities Delivery Ownership and Implementation Governance Own end to end delivery governance for enterprise AI agent deployments from sales handoff to go live and stabilization. Lead the implementation planning process across scope

About Paytm Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. Paytm is building a full stack AI platform focussed on Inference and Agents, enabling large enterprises to deploy AI driven automation across sales, service, operations, and analytics. The Inference and Agentic AI team operates as a cross functional unit spanning engineering, product, data science, business management, and sales, and owns the full lifecycle of AI solutions from opportunity discovery to deployment and scale. Role Overview Paytm is looking to hire a Client Onboarding Director to own implementation delivery and client onboarding governance for Paytm’s AI Inference and Agentic AI products across enterprise clients. This is a managerial role that will lead Client Onboarding Managers and ensure that enterprise deployments move smoothly from sales closure to go live and early adoption. The role sits at the intersection of client teams, product, engineering, business, and sales, and is responsible for converting signed enterprise deals into successful, timely, and scalable deployments. The candidate will own delivery planning, integration governance, risk management, stakeholder communication, and post go live stabilization across enterprise AI agent deployments. The role requires strong program management, technical understanding, client handling, and ability to drive execution across multiple internal and external teams. Key Responsibilities Own end to end delivery governance for enterprise AI agent deployments from sales handoff to go live and stabilization. Lead the implementation planning process across scope, timelines, milestones, dependencies, risks, and success metrics. Ensure every enterprise deployment has a clear project plan, own

Overview We are seeking a hands-on Director of AI Software Engineering to lead and scale AI engineering efforts supporting multiple business units across Governance, Risk, and Compliance (GRC). This role sits at the intersection of product delivery, platform evolution, and applied AI—driving real-world impact across core workflows. This is not a pure management role. We are looking for a builder who leads from the front, someone who has recently written production code, shipped systems end-to-end, and can operate comfortably in ambiguity while aligning teams and stakeholders. What You’ll Do Lead AI Engineering Across GRC Own delivery of AI-powered capabilities embedded directly into business unit workflows (e.g., risk analysis, compliance automation, reporting, due diligence) Partner with product, data, and platform teams to translate business problems into scalable AI systems Stay Hands-On Contribute to architecture, code reviews, and critical path implementation Prototype and validate new approaches (LLMs, agents, retrieval systems, classification pipelines, etc.) Set engineering standards for performance, reliability, and cost efficiency Build and Scale Teams Lead and mentor a high-performing team of AI/ML and software engineers Drive hiring, coaching, and career development Establish a culture of ownership, speed, and technical excellence Drive Execution Deliver production-grade systems—not experiments Balance speed with rigor (security, privacy, compliance) Operate across multiple concurrent initiatives with clear prioritization Communicate and Influence Act as a bridge between engineering and business stakeholders Clearly articulate trade-offs, risks, and outcomes to senior leadership Align cross-functional teams around shared goals and timelines What We’re Looking For Proven Builder 10+ years in software engineering, with recent hands-on coding experience Demonstrated track record of shipping production systems at scale Experience with modern

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: This role is responsible for leading the end-to-end delivery of WPP’s Service Management re-platform programme, replacing the current platform with a modern, AI-enabled service management capability. You will be accountable for the planning, coordination, governance, and execution of a large-scale platform transformation, ensuring all workstreams are delivered in a controlled, structured, and timely manner. Working under the Director of Service Delivery, you will coordinate cross-functional teams and strategic implementation partners, driving delivery across technology, process, data, integrations, and organisational change while ensuring alignment to scope, timelines, budget, and business outcomes. This role requires a highly experienced programme delivery leader who can establish strong governance, manage complex dependencies, mitigate risk, and successfully deliver one of WPP’s most significant Service Management transformation programmes. What you'll be doing: Programme & Project Delivery Lead the end-to-end delivery plan