Jobs at Automation Anywhere

Lead BFSI-focused pre-sales and solution architecture for agentic AI and intelligent automation. Drive industry-specific sales motions, own ROI/business cases, design executive workshops, shape high-level APA architectures, scope POCs, enable SE teams, and build vertical playbooks and thought leadership across EMEA.

The Forward Deployed Engineer will develop AI agents, integrate them with external systems, optimize performance, and provide technical guidance for successful customer implementations.

Provide technical support for Automation Anywhere products across cloud and on-prem environments: diagnose issues, analyze logs and workflows, troubleshoot infrastructure/configuration, handle tickets and remote sessions, escalate complex problems, document solutions, and participate in 24x7 rotational shifts to maintain high customer satisfaction.

Own the end-to-end product lifecycle for agentic AI features within an enterprise automation platform. Define roadmaps, engage customers for discovery and validation, partner with engineering/UX/applied AI to ship products, create PRDs and success metrics, track agentic AI research/trends, and support go-to-market execution.

Lead and scale enterprise sales across GCC/GIC/Captive segments. Define GTM strategy, own revenue and pipeline, close large multi-million deals, build CxO relationships, lead cross-functional teams, and grow a high-performing global sales organization.

The VP of Global Solutions Engineering leads a global team to promote Agentic Process Automation, aligning solutions with sales strategies and driving customer engagement to enhance productivity and revenue.

Sell Automation Anywhere's APA platform to drive new business: manage full sales cycle, generate leads at events, run demos and POCs with sales engineers, lead RFX responses, and coordinate solution design and deployment to secure large enterprise deals.

Owns strategic relationships with large enterprise customers to drive adoption, retention, satisfaction, and upsell. Establishes KPIs, nurtures advocacy, advises executives, and helps customers build intelligent automation programs that deliver business value.

Field-based individual contributor responsible for driving enterprise SaaS/RPA sales from opportunity inception to close. Build C-level relationships, craft proposals and pricing, conduct discovery workshops with solution architects, manage pipeline and forecasts, acquire new logos, up-sell existing customers, and maintain CRM sales activity.

Develop and maintain automated test scripts for web, chatbot AI applications and REST endpoints; collaborate with developers to identify and resolve defects; contribute to CI/CD testing and testing frameworks; analyze test results, report bugs, and document findings; adopt AI tools to accelerate test automation; work in Agile/Scrum teams.

Lead technical evaluations and demonstrations of AI-driven automation solutions. Design and showcase tailored integrations, run client workshops, engage C-suite and technical stakeholders, enable value-based selling, and support sales to drive adoption and close enterprise deals.

Lead and scale a global Partner Enablement team as a player-coach: hire and coach managers, define global enablement strategy, stay hands-on in strategic partner engagements, build repeatable playbooks, partner cross-functionally, and own KPIs like partner-led pipeline and time-to-value.

Lead technical sales efforts for Agentic Process Automation: demonstrate solutions, run workshops, design integrations, engage C-suite and technical stakeholders, enable value-based selling, and support go-to-market growth across enterprise accounts.

Design, develop, and deploy scalable agentic process automation solutions using Automation Anywhere A360 and cloud platforms. Integrate systems via APIs, build and validate AI agents and models, enforce governance and versioning, support DevOps/Agile pipelines, mentor developers, and maintain documentation and reusable frameworks.

Design, develop, and maintain high-performance, scalable back-end features and cloud applications. Architect microservices, troubleshoot performance/memory issues, perform code reviews, mentor engineers, and collaborate with product, UX, QA, and support teams to deliver production-ready solutions.

Lead adoption of new accounting standards, provide technical accounting guidance on complex transactions, design and oversee SOX/internal controls, author disclosures and MD&A, manage monthly close (including stock-based compensation), publish investor reporting packages, and partner with Product, Legal, Finance, and external auditors on accounting issues.

The Forward Deployment Engineer will architect multi-agent systems, manage LLM adaptation strategies, build RPA task bots, and lead stakeholder discovery workshops.

Manage and optimize multi-cloud infrastructure for availability, performance, and security. Handle deployments, incident response, CI/CD integrations, monitoring, backups, disaster recovery, and infrastructure-as-code using Terraform. Deploy and operate containerized workloads on Kubernetes and Docker, leverage AI-assisted development tools for automation, and document operational processes.

Support day-to-day financial and administrative operations: compile financial/tax documentation, post/process AP invoices, create/manage POs, initiate payments, maintain records, follow up on AR, coordinate with external providers and internal stakeholders, and assist finance, HR, and office operational tasks.

Build and deploy production-grade Generative AI and Retrieval-Augmented Generation (RAG) pipelines. Write clean Python backend code (FastAPI/LangChain), manage and tune vector databases, integrate enterprise LLMs via secure APIs, deploy and scale on cloud (AWS/GCP/Azure) using containers/serverless, and monitor LLM usage, latency, and retrieval accuracy in production.