Senior AI & Automation Engineer

Autostore

US RemotePosted 7 days agoDiscoveredMatch locked

RemoteFull time

About the role

AutoStore™ holds a simple yet powerful vision: to store and move things for everyone, everywhere. Founded in Norway, we've grown into a global technology company. AutoStore uses advanced software to automate and orchestrate order fulfillment. Our goal is to ensure orders arrive faster than ever, with minimal environmental impact. That's how we help brands exceed customer expectations. We have more than 1600 systems in nearly 60 countries, and we grow continuously as a community of employees, partners, customers, suppliers, and connected technologies. Automation should make life easier, and by listening carefully to our community, we innovate to meet the industry's most complex needs. With AutoStore™, brands gain speed, efficiency, and improved workplaces. And much more floor space. AutoStore - moving things forward. The Role: AutoStore is transforming how we operate, serve customers and partners, and scale our commercial organization. We are looking for a Senior AI & Automation Engineer to build and deploy intelligent solutions that fundamentally improve how work gets done. Your first proving ground will be Sales Support, a global operation with rich data, complex workflows and significant opportunities for AI and automation. From there, the capabilities you build will expand across the broader Commercial organization. This is a hands-on role for someone who can move from

Key Tasks and Responsibilities

You will design AI-powered capabilities combining agentic AI, automation, enterprise data and workflow orchestration, including:

AI agents that understand requests, retrieve knowledge, reason across business rules and recommend or take actions
Intelligent case intake, classification, routing and prioritization
Automated order and PO quality validation
Knowledge and support agents grounded in enterprise data and documentation
AI-assisted exception handling and next-best actions
Pattern recognition across operational data to identify recurring issues and opportunities
Intelligent self-service experiences for employees, partners and customers

•

The goal is simple: less manual work, better decisions, faster execution and better customer and partner experiences.

What You'll Own

Build Agentic AI -

Design, prototype and productionize AI agents and intelligent workflows using LLMs, RAG, tool use, orchestration and human-in-the-loop patterns. •

Find the Right Problems —

Work directly with business teams and operational data to identify friction, repetitive work, rework and high-value opportunities. Challenge unnecessary complexity before automating it. •

Turn Data Into Intelligence —

Use historical and real-time data to uncover patterns and create reusable intelligence for classification, recommendations, knowledge retrieval and decision support. •

Engineer for Production —

Move beyond demos. Build secure, scalable and observable solutions with strong practices around APIs, integrations, testing, evaluation, monitoring and governance. •

Deliver Measurable Impact —

Measure success through outcomes such as cycle time, quality, manual touches, self-service, adoption and capacity created. •

Scale Across Commercial —

Take successful capabilities beyond Sales Support into sales productivity, partner and customer experience, revenue and account intelligence, and digital commercial experiences such as AutoStore Sphere.

Key Qualifications

We care more about what you can build and how you think than matching every technology on a checklist.

Strong software engineering skills, particularly Python and modern APIs
Experience building applications using LLMs, generative AI or agentic AI
Experience with RAG, enterprise search, tool/function calling or agent orchestration
Strong understanding of data, workflow automation and systems integration
Experience taking AI solutions from prototype to production
Understanding of AI evaluation, observability, security and responsible AI
Ability to turn ambiguous business problems into simple, scalable solutions
Curiosity, ownership and a strong bias toward action
Experience with Azure, Databricks, Salesforce, SAP, GitHub or modern AI development frameworks is valuable, but the ability to learn, connect systems and ship matters more than any specific technology.

We Offer:

AutoStore believes in taking care of employees and is dedicated to providing a supportive and rewarding work environment. Join us in our mission to store and move things for everyone, everywhere.

Comprehensive Medical, Dental, and Vision plans
Health Savings Account (HSA) with a company contribution
Generous Paid Time Off including 12 holidays, paid exercise time, paid volunteer time, and paid parental leave plans for all new parents
Retirement 401(k) plan with employer match and discretionary profit sharing contribution
Educational assistance and professional development programs, including mentorship/coaching programs with external industry leaders
Additional benefits include Group Life Insurance, Voluntary Additional Life Insurance, Disability Insurance, Employee Assistance programs, and more!

AutoStore is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, pregnancy-related conditions, and lactation), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.

Not included in the source posting: about the role, benefits.

Skills

artificial-intelligencellmragazuredatabricksgenerative-aipythonsalesforcesap

Who can apply

The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.

Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.