Senior Ai Ml Architect Jobs

At Lyft, our mission is to improve people's lives with the world's best transportation. To accomplish this, we start with our community by creating an open, inclusive, and diverse organization. About the Team The Risk Tech engineering organization is committed to tangibly reducing accident frequency, saving lives, and managing costs to enhance the safety and affordability of rides. Claim Management is a core financial function for Lyft. Each claim touches complex workflows, multiple stakeholders, sensitive data, financial reserves, regulatory processes, and significant financial liabilities. This role offers the opportunity to define a leading claims management system for the industry. Our vision is to establish a single, Unified Risk Platform where comprehensive claims workflows across all business lines are efficiently administered, communications are consolidated, and data is structured to facilitate data-driven insights and decisions.This enables cost-efficient claims operations, mitigates risks and expenses as Lyft scales, and ensures people receive assistance proactively and accurately. About the Role We are seeking a Senior Software Engineer to contribute to the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers our insurance platform. You will collaborate with passionate colleagues from Engineering, Data Science, Product and Claim Operations to deliver end-to-end solutions. Responsibilities: Define and drive the long-term technical roadmap for claims management systems, aligning priori

At Lyft, our mission is to improve people's lives with the world's best transportation. To accomplish this, we start with our community by creating an open, inclusive, and diverse organization. About the Team The Risk Tech engineering organization is committed to tangibly reducing accident frequency, saving lives, and managing costs to enhance the safety and affordability of rides. Claim Management is a core financial function for Lyft. Each claim touches complex workflows, multiple stakeholders, sensitive data, financial reserves, regulatory processes, and significant financial liabilities. This role offers the opportunity to define a leading claims management system for the industry. Our vision is to establish a single, Unified Risk Platform where comprehensive claims workflows across all business lines are efficiently administered, communications are consolidated, and data is structured to facilitate data-driven insights and decisions.This enables cost-efficient claims operations, mitigates risks and expenses as Lyft scales, and ensures people receive assistance proactively and accurately. About the Role We are seeking a Senior Software Engineer to contribute to the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers our insurance platform. You will collaborate with passionate colleagues from Engineering, Data Science, Product and Claim Operations to deliver end-to-end solutions. Responsibilities: Define and drive the long-term technical roadmap for claims management systems, aligning priori

Here’s a summary of the role: You are a seasoned AI engineer ready to design, ship, and own production‑grade agentic systems that solve real enterprise problems. At Diligent, you’ll take technical ownership of Compliance in a Box (CiaB) — a flagship AI platform reshaping how organisations manage governance, risk, and compliance at scale. You’ll architect and evolve the AI reasoning layer and agent orchestration framework at the heart of the product, shaping how multiple intelligent agents collaborate, reason, and operate safely in high‑stakes, regulated environments. This is hands‑on, deeply technical work — from system design to prompt strategy to evaluation — not research theatre. Partnering closely with product, security, and platform teams, you’ll make high‑impact decisions, move quickly, and see your work land in production fast. If you’re motivated by ownership, technical depth, and building AI systems that actually matter , this is your chance to set the standard for enterprise‑ready agentic AI. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Build and maintain the GRC Brain (AI reasoning layer) and Agentic Cortex (agent orchestration framework) — the technical core of our Compliance in a Box product Design and implement a 7-agent architecture : OnboardingAgent, ScopeAgent, StandardsMapper, RiskQuantifier, PolicyAnalyzer, InfrastructureAuditor, and ComplianceMonitor Implement Human-in-the-Loop (HITL) gates across agent workflows, and tune prompts and confidence scoring for Bedrock-hosted models Own the agent evaluation framework — measuring quality, latency, and reliability to keep CiaB performant and production-ready Collaborate with cross-functional teams to deliver CiaB feature-complete by Week 7 — your work ships fast and your impact is visible from day one These are the essentials you’ll need to get an interview: A degree in Computer Science, Software Engineering, or a related IT discipline Demonstrable understandin

Location Details: India, Remote At GoDaddy, the future of work varies by team. Some teams are fully office-based. Others split their time between remote work and the office. Some teams work completely from home. This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team... At GoDaddy, we are seeking a Senior Analyst to join our Assurance, Risk and Compliance (ARC) Enablement team. This role will help transform how our team and business improve processes, use technology, and empower people to manage risk and build the future compliance program. Reporting directly to the Director of ARC, you will drive meaningful improvements in people, processes, and technology. You will redesign workflows that cause unnecessary manual effort. You will develop automation and analytics that make compliance ongoing instead of occasional. You will ensure the team and collaborators are prepared to maintain and expand what is developed. You will work with SOX, Internal Audit (IA), and Enterprise Risk Management (ERM) to deliver scalable, auditable, and AI-forward solutions. If improving how compliance functions motivates you, this is your role! What you'll get to do... Find the friction and fix it. Map current-state workflows across ARC's SOX, IA, and ERM functions. Identify where manual effort and inefficiency exist. Lead process improvements that remove them for good. Build automation that actually sticks — develop pipelines, CI/CD-enabled code repositories, and repeatable testing frameworks that turn periodic compliance efforts into continuous, always-on operations. Make compliance visible in real time — build Power BI dashboards and analytics pipelines (Python, SQL) that give leadership and control owners a live view of risk posture. Put Jira to work for compliance — configure workflows, automation rules, and intake forms that embed traceability and standardization di

Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world’s most important decisions. We’re looking for an AI Product Manager to own the Finance vertical within our Agents Data & Reinforcement Learning Environments team. In this role, you’ll own both the development of RL environments (the realistic, high-fidelity simulations of financial software and workflows that labs use to train and evaluate agents) and the “data as a product” strategy that powers them. You’ll understand where AI is being used in the Finance industry, decide what financial tasks are worth modeling, how to source and structure the underlying data, and how to turn deep domain knowledge into a defensible product. The ideal candidate has lived inside the Finance industry, and is able to pair that domain understanding with a sense for AI research and current agent capabilities in Finance workflows. You’ll translate that expertise into environments and datasets that teach AI agents to perform real financial work, and you’ll be the domain expert Scale’s most important customers and their leading researchers turn to. A strong entrepreneurial & go-to-market mindset will be necessary. What You’ll Do Own the Finance AI roadmap & data strategy: Set product direction for the Finance agents training stack and the data strategy behind it. Establish a vision for where AI is continuing to transform the Finance industry (including investment banking, private equity, public markets, corporate finance, FP&A, etc), driving execution across engineering, operations, and go-to-market teams. Build partnerships with research teams at frontier labs: Work directly with researchers at leading AI labs to understand where their Finance agentic capabilities fall short and shape new product lines and competit

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role The AI team is building cutting-edge solutions that bring the power of AI directly to edge devices while seamlessly integrating with cloud infrastructure. We are looking for a Senior Software Engineer to design and develop high-performance, scalable services to support AI workloads across edge and cloud environments. What You Might Do Design, build, and maintain services that power AI-driven applications, ensuring scalability and performance. Develop APIs and microservices that facilitate seamless integration between cloud-based AI models and edge devices. Optimize data pipelines and storage solutions for real-time AI inference and processing. Implement security and privacy best practices for distributed AI systems. Work closely with AI researchers, infrastructure engineers, and frontend developers to deliver end-to-end AI-driven solutions. Build and optimize an agent orchestration runtime that enables tool use, memory management, and multi-step reasoning across LLMs, APIs, and edge-connected systems. Develop robust logging, monitoring, and alerting systems to ensure system reliabilit

Zoox is developing state-of-the-art autonomous vehicle software for our purpose-built vehicle. We believe that developing the end-to-end product will get us to market faster and result in a superior customer experience. The Developer Experience team at Zoox is dedicated to improving the process of developing autonomy software, services, and applications. We define and enforce the best practices for engineering across the company. Our approach involves using established programming languages, and tools and, when necessary, developing our own. We're leveraging Large Language Models (LLMs) to improve development velocity and streamline engineering workflows. We're looking for an engineer with firsthand experience as a full-stack developer, who knows the engineering challenges at scale and feels comfortable designing and implementing solutions to address them. In this role, you will: Architect and implement LLM-powered solutions using frontier models like Claude, Gemini, GPT. Build tools that leverage AI and improve engineer productivity by 10x through intelligent code assistance, automated code review, and improving zoox’s operational efficiency. Develop systems to automate mundane development tasks like boilerplate generation, test creation, and code refactoring. Create intelligent workflows that leverage LLMs for bug detection, security vulnerability assessment, and code optimization. Bridge the divide between developers' needs and infrastructure solutions while establishing best practices for responsible AI integration in our development pipeline. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field with 7+ years of industry experience. Solid experience as a full-stack or backend developer, showcasing a deep understanding of system design, data structures, and algorithms. Fluency in at least one of the following languages: Python or C++. Exper

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. ABOUT THE TEAM The GTM AI Engineering team is part of Snowflake's Data Analytics & AI organization and builds the internal AI platform and intelligent applications that power Snowflake's Go-To-Market organization. We develop production-grade AI systems used daily by thousands of employees across Sales, Solution Engineering and Marketing. As a Senior AI Engineer, you will build the backend services, platform infrastructure, and AI capabilities that power next-generation agentic applications. You will work at the intersection of distributed systems, backend engineering, applied AI, and internal product development, designing scalable, reliable, and secure systems that enable intelligent experiences with direct business impact. This role offers the opportunity to shape a rapidly growing internal AI platform, establish engineering best practices, and build AI products that directly accelerate Snowflake's growth. IN THIS ROLE, YOU WILL: Design and build scalable backend services and distributed systems that power production AI and agentic applications. Develop APIs, orchestration services, and platform capabilities for internal AI products. Build reusable AI platform components, including agent frameworks, evaluation pipelines, developer SDKs, templates, and shared Python li

Become a part of our caring community *(Selected candidate will be required to live within 60 mins of one of the following metro locations OR be willing to relocate to within 12 months of hire date: Louisville KY, NYC Metro, Dallas Metro, Charlotte NC Metro, Tampa, Miami, Washington DC metro, Chicago, Boston, Atlanta, Nashville) The Senior Security Architect for AI works with EIP Department leaders and Humana enterprise stakeholders to identify, define, and develop security architecture requirements and secure designs for AI technology solutions across Humana's business, information technology, and security domains. The Security Architect leads the development of technical architecture & designs, develop security requirements, perform threat modeling and ensures alignment of security & risk imperatives with business priorities. The Security Architect is responsible for the high-level design and patterns of security program infrastructures to enable the protection of Humana tools, data, systems, and networks. Working with EIP Leaders, the security architect drives alignment between the EIP security strategy, security architecture and infrastructure, and Humana's overall business and technology strategic priorities. In this capacity, the role is responsible for planning, designing, and proposing architectural patterns or security enhancements for Humana's information security and technology infrastructures. The role works with EIP and Humana leaders to review and reconcile Humana business priorities with EIP security requirements. The role engages with relevant EIP stakeholders to identify current and emerging security threats and works to design security architecture elements to mitigate threats as they emerge. Additionally, the role actively works to identify gaps within existing EIP reference architecture and designs updates to impacted sec

Become a part of our caring community The Senior Full Stack Engineer Performs software engineering activities in all layers of the stack, from setting up the database to programming in the back-end and the appearance at the front-end. The Senior Full Stack Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. As Centerwell builds its AI engineering function from the ground up, we need a platform foundation strong enough to support everything that comes next. As Lead Full-Stack Engineer focused on platform and API engineering, you will design and build the service layer that connects AI capabilities, data systems, and product frontends—setting the standards for how services are built, secured, and operated across the team. You will work with meaningful architectural scope, making decisions that span API design, security patterns, and deployment practices. The platform you build will serve care teams and patients across hundreds of Centerwell clinics. If you want to build platforms that others build on—and do it in service of better primary care—this is the role for you. Key Responsibilities Platform and API Architecture: ** Design and lead development of core backend services, REST and GraphQL APIs, and service-to-service integrations that connect all layers of Centerwell's AI product stack. Security and Compliance by Design: ** Establish patterns for authentication, authorization, rate limiting, PHI access control, and audit logging. Ensure HIPAA compliance is embedded in platform design from day one—not bolted on after the fact. AI and LLM Integration Patterns: ** Define and implement reusable patterns for integrating AI capabilities into product

We're Hiring Senior AI Engineer (Generative AI Azure) Remote Immediate Joiners Preferred Salary: Up to 12 LPA We are seeking an experienced Senior AI Engineer to design, develop, and deploy enterprise-grade Generative AI solutions on Microsoft Azure. The ideal candidate will have strong expertise in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), Azure AI Services, and modern AI engineering practices. Technical Summary • AI & LLMs: Azure OpenAI, GPT-4.x, OpenAI, Prompt Engineering, Prompt Chaining, Function Calling, Structured Outputs, Tool Calling, JSON Schema, Model Evaluation, Guardrails, Fine-tuning Concepts • Agentic AI: Multi-step Reasoning, Planning, Memory Management, Tool Orchestration, Multi-Agent Systems, Human-in-the-Loop Workflows, Reflection, Context Management, AI Observability • Frameworks: Semantic Kernel, LangChain, LangGraph, AutoGen, Azure AI Agent Service • RAG & MCP: Retrieval-Augmented Generation, Vector Search, Semantic Search, Hybrid Search, Embeddings, Knowledge Grounding, Citation Generation, Document Ingestion, Chunking, MCP Architecture, MCP Servers & Clients • Azure Technologies: Azure AI Foundry, Azure AI Search, Azure AI Document Intelligence, Azure Machine Learning, Azure Functions, API Management, Logic Apps, App Service, Container Apps, AKS, Azure Storage, Data Lake Gen2, Azure Key Vault, Azure Entra ID, Azure Monitor, Application Insights, Event Grid, Service Bus • Programming & DevOps: Python, C#, REST APIs, FastAPI, ASP.NET Core, JSON, YAML, Git, Azure DevOps, Docker, Kubernetes • Data Platforms: SQL Server, Azure SQL, PostgreSQL, Cosmos DB, Snowflake, Microsoft Fabric, Azure Databricks, Delta Lake, Vector Databases (Azure AI Search, Pinecone, Weaviate, Milvus, Qdrant) • Security & Governance: Responsible AI, Prompt Injection Prevention, RBAC, Content Filtering, Data Privacy, GDPR, ISO 27001, Azure Key Vault, Audit Logging & Monitoring • Nice to Have: Microsoft Copilo

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior AI Platform Engineer (DevOps) Who is Mastercard? Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payment choices, making transactions secure, simple, smart, and accessible. Our technology and innovation, partnerships, and networks combined to deliver a unique set of products and services that help people, businesses, and governments realize their greatest potential. Our decency quotient (DQ) drives our culture and everything we do inside and outside our company. We cultivate an environment where individuals can thrive, collaborate, and contribute to innovations that power the global economy. Overview: The AI Platform Engineering team is responsible for building, operating, and evolving Mastercard's enterprise AI platforms and capabilities. Our mission is to provide scalable, secure, and reliable AI infrastructure that enables teams across Mastercard to accelerate the development and deployment of AI-powered solutions. As a Senior AI Engineer, you will help design, implement, and operate the foundational platforms that support AI and machine learning workloads across the enterprise. You will work at the intersect

Senior AI Solutions Analyst — Jalisco, Mexico. Apply via Workday.

Senior AI & Data Analytics — Texas, United States of America. Apply via Workday.

Senior AI Solutions Architect - Materials Science and Chemistry — 5 Locations. Apply via Workday.