Solution Architect Enablement Business Partner Jobs

Director, Simulation Solutions and Business Development — Virtual India. Apply via Workday.

Director, Roundel Partner Solutions - Essentials & Beauty (Large Enterprise) — Minneapolis, MN 55403-2542. Apply via Workday.

Director, Roundel Partner Solutions - T+ Marketplace — Minneapolis, MN 55403-2542. Apply via Workday.

Director, Business Development - Corporate Solutions FI Enablement — Purchase, New York. Apply via Workday.

Sr. Enterprise Solutions Account Executive — Virtual. Apply via Workday.

Sr. Enterprise Solutions Account Executive — 4 Locations. Apply via Workday.

Engineer, Test Automation Platforms & Solutions — 2 Locations. Apply via Workday.

Sr Technical Specialist, Emerging Solutions, Water — 5 Locations. Apply via Workday.

Sales Specialist, Emerging Solutions, Autodesk Water Infastructure — 2 Locations. Apply via Workday.

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 Engineer, Big Data & AI Solutions Overview The Security Solutions Data Science team develops AI and machine learning capabilities that help protect the global payments ecosystem from fraud and cyber threats. Supporting Mastercard’s Safety Net product, the team develops and enhances models that analyze billions of transactions and identify suspicious activity. As a Senior AI Engineer, you will work at the intersection of big data engineering and AI/ML, helping build and support the data, features, models, and production processes behind fraud detection. Ideal Candidate Profile You are a big data and AI/ML engineer who has used Apache Spark in a professional environment and has hands-on experience working within CI/CD-driven engineering environments. You understand how large-scale data moves from raw inputs through data and feature pipelines into machine learning models, and how those models are deployed, monitored, and improved in production. Large-scale data → Spark/PySpark → Data & Feature Pipelines → ML models → Production Deployment→ CI/CD→Monitoring & Drift Detection → Optimization & Retraining Experience with Generative AI, RAG, LLMs, or agentic AI is valuable, but the foundation for this role is large-scale data engineering and production AI/M

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Executive Director, Software Engineering – AI Solutions will lead the design, development, and delivery of AI-powered software products and platforms that drive the Health100 strategy. Reporting to the VP of Engineering, this leader will be responsible for building and scaling a high-performing software engineering organization focused on leveraging Generative AI and agentic technologies to solve complex healthcare and business challenges. This role serves as the senior engineering leader responsible for translating business opportunities into production-grade software solutions. The Executive Director will define technical strategy, lead multiple engineering teams, establish engineering excellence practices, and partner closely with Product, Security, and Business stakeholders to deliver innovative AI-enabled applications at enterprise scale. The ideal candidate combines deep software engineering leadership experience with a strong understanding of modern AI technologies and a proven ability to build and scale engineering organizations that deliver measurable business outcomes. Key Responsibilities Lead software engineering teams responsible for the design, development, deployment, and support of AI-powered applications and platforms. Establish engineering best practices, software development standards, architecture governance, and operational excellence.

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 Specialist, Product Management (AI Network Solutions) Overview Mastercard's AI Network Solutions team is seeking a Specialist, Product Management to support the development, enhancement, and commercialization of data and AI-driven products that help financial institutions make smarter risk and fraud decisions. This role offers the opportunity to work across product strategy, product development, market analysis, and customer engagement while collaborating with global stakeholders in a fast-paced and innovative environment. We’re looking for a product professional eager to grow in AI, fraud, risk, and payments. Role Serve as lead for AI product, including the below: • Support the development and execution of product strategies and roadmaps. • Help identify growth opportunities and drive expansion within target market segments. • Manage and enhance existing product capabilities based on customer feedback, market trends, and business priorities. • Assist with evaluating new product concepts and emerging opportunities. • Oversee billing, delivery, and customer opt-out/in processes • Define and document business requirements and product enhancement specifications. • Partner with Product Development teams to ensure successful delivery of product features and improvements. •

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview The Ads DSE team builds the core capabilities that power Instacart's off-platform advertising, secure data collaboration (cleanrooms), automated taxonomy management, and their associated platform foundations. We are hiring a Senior Engineer II (L6) to co-own the technical roadmap, modernize our data solutions infrastructure, scale off-platform integrations and measurement capabilities, extend our cleanroom collaboration capabilities, and automate taxonomy change management workflows. This role is pivotal for cross-team collaboration, developer productivity, and AI-driven development initiatives. You are a senior technical leader who designs and ships scalable, data‑intensive systems; drives cross‑team execution; and raises engineering standards. You’ll partner closely with Product, Data Science, Data Platform, and Governance teams to build reusable abstrac

About Eve Eve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more cases, recover more for clients, and grow with AI that works across every stage of a case, from intake through resolution. The next generation of great plaintiff firms will be AI-Native, and Eve is how they get there. But what makes Eve different isn't just the product. It's how we build it. If you're someone who takes ownership, stays curious, and wants to build AI that's already changing how law is practiced, this is where you belong. Product-market fit: Eve is trusted by over 1000+ law firms, and we’re growing fast. Backed by top investors: We’ve raised over $160M from world-class partners including Spark Capital, Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed. Built by a world-class team: Engineers, designers, and operators from places like Scale, Meta, Airbnb, Cruise, Square, Rubrik, and Lyft are building Eve from the ground up. AI-Native from day one: We’re on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work. Explosive growth: We are growing 2X revenue Quarter over Quarter. About This Role: Eve Legal is a Series B legal AI platform reinventing how plaintiff law firms run their practice. As the dedicated enablement manager for our Customer Success and Solutions Engineering team, you'll build the skill and technical knowledge programs specific to CS and SE from the ground up, own technical launch and implementation readiness across the team, and build the muscle this team needs to turn strong customer relationships into real expansion and upsell within the book we already have. The CS and SE teams are not support functions, but rather a growth engine, and you'll be the person who makes sure the team can spot whitespace, build a credible business case, and walk into an expansion conversation with confid

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The People Operations & Digital Solutions team The People Operations & Digital Solutions team shapes the future of employee support at Okta through innovative technology, intelligent knowledge management, and automated self-service experiences. Reporting to the Senior Director, People Operations & Digital Solutions, this team collaborates closely with People Operations, Total Rewards, Recruiting, IT, Learning, and Knowledge Management to enhance digital support across the enterprise. The Senior AI Analyst opportunity We are seeking an experienced Senior AI Analyst with a strong background in ServiceNow and Analytics to help train, evaluate, and improve AI models and AI-powered enterprise solutions. The ideal candidate will combine hands-on ServiceNow knowledge, data and analytics expertise, and strong communication skills to create high-quality training data, evaluate AI outputs, and translate business and technical requirements into effective AI training scenarios. This is a high-impact role responsible for improving how employees interact with AI while enabling support teams through intelligent knowledge management and training. As the subject matter expert for our AI solutions, you will analyze conversational insights, optimize AI performance, and ensure AI assistants deliver accurate, relevant, and trusted responses. You'll own the training and continuous improvement of AI-powered experiences—including an employee support chatbot, Agentic Co