Agentic Architect

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. We are hiring a Senior Security Engineer, dedicated to Product Security Incident Response. In this role, you will lead and architect Snowflake's product-integrated Incident Response strategy, with a primary focus on AI and LLM security. You'll design, plan, and drive the implementation of incident response capabilities across Snowflake's AI product surface - including Cortex AI, Cortex Agents, Snowflake Intelligence, and the data pipelines that power them. AS A SENIOR SECURITY ENGINEER, AI INCIDENT RESPONSE AT SNOWFLAKE, YOU WILL: Lead incident response for product-level security events, with deep focus on AI-specific threat vectors including prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads. Integrate IR into AI product pipelines - work directly with teams shipping Cortex features, Snowflake Intelligence, and AI-powered developer experiences to embed security requirements from design through deployment. Develop and codify our AI abuse response strategy - defining detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks targeting Snowflake customers. Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from

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. We are hiring a Senior Security Engineer, dedicated to Product Security Incident Response. In this role, you will lead and architect Snowflake's product-integrated Incident Response strategy, with a primary focus on AI and LLM security. You'll design, plan, and drive the implementation of incident response capabilities across Snowflake's AI product surface - including Cortex AI, Cortex Agents, Snowflake Intelligence, and the data pipelines that power them. AS A SENIOR SECURITY ENGINEER, AI INCIDENT RESPONSE AT SNOWFLAKE, YOU WILL: Lead incident response for product-level security events, with deep focus on AI-specific threat vectors including prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads. Integrate IR into AI product pipelines - work directly with teams shipping Cortex features, Snowflake Intelligence, and AI-powered developer experiences to embed security requirements from design through deployment. Develop and codify our AI abuse response strategy - defining detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks targeting Snowflake customers. Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from

Senior Engineering Manager – AI CoE About Redwood Redwood Software helps the world's largest enterprises automate mission-critical business processes. Our platforms support complex enterprise workloads across ERP systems, business applications, cloud infrastructure, and on-premises environments. Redwood is building reusable AI infrastructure, agentic capabilities, developer tools, and platform services that enable enterprise-ready AI features across its product portfolio. Role Mission As a Senior Engineering Manager, you will lead the engineering team responsible for delivering Redwood's shared AI platform and agentic capabilities. You will translate the AI strategy into an executable engineering roadmap, build a high-performing team, and ensure the delivery of secure, scalable, observable, and commercially valuable AI systems. The role requires sufficient technical depth to guide architecture and challenge engineering decisions while remaining accountable for people's leadership, execution, team health, and delivery outcomes. Key Responsibilities Lead one or more engineering teams responsible for AI platform services, agentic capabilities, developer tools, and product integrations. Translate business and product priorities into a clear engineering roadmap, delivery plan, and team-level objectives. Recruit, onboard, manage, and retain engineers with the skills required to build production-grade AI and agentic systems. Establish clear ownership, performance expectations, decision-making responsibilities, and development plans across the team. Drive predictable execution through effective planning, dependency management, risk identification, and operational readiness. Partner with senior individual contributors to guide architecture and technical direction without becoming a bottleneck for engineering decisions. Ensure consistent engineering practices across AI evaluation, observability, model gover

Opportunity Overview: As a Staff Applied Scientist, you will play a critical technical leadership role on Cohere Health’s AS team, with a primary focus on powering and scaling machine learning capabilities across our products. You will apply state-of-the-art machine learning, large language models, and agentic architectures to complex clinical and operational intake workflows, helping automate decision-making, improve data quality, and reduce administrative burden for clinical teams. In this role, you will partner closely with clinical operations, product, and engineering teams to uncover hidden drivers, inform strategic decisions, and design and evaluate ML systems that directly impact how members and providers experience Cohere Health at the front door of care. This role blends deep hands-on technical work with strategic influence, mentorship, and ownership across multiple work streams, while contributing to broader ML initiatives. What you’ll do: Design, develop and evaluate advanced machine learning systems for retrieval, classification, prediction, and generative use cases. Apply advanced statistical and ML techniques to extract insights from large-scale structured and unstructured healthcare datasets. Lead model development across the ML lifecycle, including experimentation, training, evaluation, partnering with AI engineering to support deployment, monitoring, and iteration. Write and maintain reusable codebases to perform data preprocessing, model training, evaluation, and deployment Collaborate cross-functionally with product managers, clinicians, data engineers, BI engineers, and design teams to translate business and clinical needs into robust ML solutions. Drive experimentation by defining problem statements, forming falsifiable hypotheses, and designing rigorous evaluation frameworks tied to business outcomes. Review, communicate, and present ML insights and results to technical and non-technical stakeholders, including executive leadership. Serve as a

JOB ROLE : SENIOR MANAGER, SOFTWARE ENGINEERING Location: Hyderabad, India (Hybrid) Department: Product Development ABOUT GHX GHX (Global Healthcare Exchange) is a leading healthcare technology company on a mission to simplify the business of healthcare and improve patient outcomes. Founded in 2000, GHX has built the world's largest cloud-based supply chain community connecting healthcare providers, suppliers, distributors, and partners to automate processes, reduce costs, and increase operational efficiency. GHX continues to innovate with intelligent automation and AI-driven capabilities across its product portfolio. ABOUT THE ROLE GHX is seeking a Senior Engineering Manager to lead a multi-disciplinary engineering team that powers intelligent, AI-augmented automation across multiple product lines with document understanding — extracting structured meaning from unstructured documents and data — as one of its core technical problems. This team spans three areas: a platform engineering team (AI, DevOps, Infra, architecture, business continuity, security etc.), a set of product-line delivery teams (each building product-specific business logic, validation, and integrations), and a team building the Human-in-the-Loop (HiTL) application along with reporting/analytics capabilities. You will lead through team leads or senior engineers rather than running delivery for a single team directly. You will set technical direction for shared platform capabilities that every product-line team depends on, while ensuring each product line independently meets its own functionality, quality, and delivery commitments. You will work directly with business, product, and operations stakeholders across every product line this platform serves, and you will own end-to-end outcomes: people, technical direction, and customer impact across the full teams. RESPONSIBILITIES Organizational & Engineering Leadership: • Lead and develop a multi-disciplinary team spanning platform engineering, pro

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Key Responsibilities AI Solution Architecture Define the end-to-end architecture for intelligent Triage & RCA platforms. Architect multi-agent systems capable of autonomous reasoning, investigation, and recommendation generation. Drive implementation of AI-powered workflows across engineering and manufacturing ecosystems. Define scalable architectures for AI orchestration and decision intelligence. Agentic AI & RCA Systems Design autonomous RCA workflows demonstrating LLMs, domain knowledge, telemetry, and engineering data. Architect human-in-the-loop decision frameworks for safe AI deployment. Define AI evaluation, monitoring, and feedback loops. Build AI capabilities including: Failure Classification Clustering & Similarity Detection Root Cause Reasoning Hypothesis Generation DOE Recommendations Automated Investigation Workflows Platform & Integration Architect integrations across data platforms, engineering tools, manufacturing systems, and AI services. Partner with Data Architects to establish scalable foundations for AI applications. Define APIs, microservices, orchestration layers, and deployment strategies. Lead architecture reviews and technology selection. Technical Leadership Mentor engineering teams and provide architectural governance. Establish standard processes for AI