AI Senior Solutions Engineer, Automation Anywhere

• Bachelor’s degree in Computer Science Engineering, or a related field required; advanced degrees are a plus
• 7+ years of overall professional experience, with 3+ years of relevant experience in sales/pre-sales roles within Intelligent Automation, Cloud, Generative AI, and/or related fields
• Experience selling into and working with Banking, Financial Services, Insurance companies is highly preferred
• Hands-On Automation Development: Proven experience building and deploying production automation solutions on platforms such as Automation Anywhere, UiPath, or Blue Prism, including bot development, workflow orchestration, and production support
• AI and Machine Learning: Working knowledge of LLMs, RAG architectures, prompt engineering, vector databases, and AI agent frameworks; ability to integrate AI capabilities into automation workflows
• Enterprise Systems Integration: Deep experience with enterprise applications (SAP, Salesforce, Oracle, ServiceNow, Workday) and API-based integration patterns
• Cloud and Infrastructure: Proficiency with hyperscalers (AWS, Azure, GCP), containerization, CI/CD pipelines, and cloud-native architectures
• Programming and Scripting: Strong coding skills in Python, JavaScript, or similar languages; comfortable reading and modifying code across multiple technologies
• Document Processing: Experience with OCR, IDP (Intelligent Document Processing), and unstructured data extraction technologies
• Ability to travel up to 50% (sometimes on short notice) to customer sites, company events, and conferences
• Proven ability to operate effectively with both C-level executives and hands-on technical teams
• Strong value-selling and business outcome articulation skills
• Excellent problem-solving abilities with creative and adaptive approaches to technical challenges
• Outstanding verbal, written, and presentation communication skills
• Self-starter mentality with ability to work independently in dynamic, fast-paced environments
• Comfortable with ambiguity and rapid context-switching across multiple customer engagements​

Desirable

• As an AI Senior Solutions Engineer at Automation Anywhere, you will bridge the gap between strategic selling and hands-on technical delivery, serving as both a trusted advisor and a technical implementer for our most complex AI-driven automation initiatives
• Unlike traditional pre-sales roles, you will embed deeply with customers throughout their automation journey—from initial discovery through implementation—designing, prototyping, and deploying production-grade solutions that demonstrate the transformative power of Agentic Process Automation
• You will spend significant time on-site with customers, understanding their business challenges at a granular level, rapidly building proof-of-concepts, and delivering custom integrations that showcase real business value
• Your work will directly influence both customer success and product evolution, as you serve as a critical feedback loop between the field and our engineering teams
• Deep Customer Embedding: Invest significant time embedded with customers, gaining thorough understanding of their business processes, technical infrastructure, pain points, and strategic objectives
• Proactive Opportunity Identification: Identify automation and AI opportunities within the customer's environment, proposing innovative solutions that address both immediate needs and long-term digital transformation goals
• Trusted Technical Advisor: Build strong, long-term relationships with both C-suite executives and technical teams, becoming the go-to expert for Agentic Automation, AI agents, and intelligent process optimization
• Rapid Prototyping and POCs: Design and build functional proof-of-concept solutions quickly, demonstrating real-world applicability and ROI potential using Automation Anywhere's platform alongside complementary technologies
• Custom Development and Integration: Develop production-grade bots, AI agents, and workflow automations tailored to customer-specific requirements, including complex integrations with enterprise systems (SAP, Salesforce, ServiceNow, Workday, etc.)
• Hands-On Technical Delivery: Roll up your sleeves to debug, optimize, and deploy automation solutions directly into customer environments, ensuring seamless integration with existing infrastructure
• Architecture Design: Design scalable automation architectures that leverage hyperscaler capabilities (AWS, Azure, GCP), incorporating RAG, LLMs, OCR, and other advanced AI technologies
• Value-Driven Demonstrations: Lead the technical evaluation stage of the sales process, showcasing solutions based on measurable business outcomes and strategic value rather than feature lists
• Executive and Technical Stakeholder Management: Effectively communicate with both C-level decision-makers and technical practitioners, translating between business objectives and technical implementation
• Strategic Workshops and Evangelization: Lead customer workshops, process discovery sessions, and best practice forums, establishing thought leadership in AI-driven automation
• Product Feedback Loop: Serve as a critical bridge between customers and product/engineering teams, providing detailed feedback on product gaps, enhancement opportunities, and customer requirements
• Internal Knowledge Sharing: Document best practices, solution patterns, and customer insights, contributing to internal knowledge bases and enabling the broader team
• Emerging Technology Expertise: Stay at the forefront of Agentic Automation, LLMs, RAGs, Process Reasoning, and enterprise AI trends, sharing insights and educating both customers and internal teams
• Competitive Positioning: Provide strategic technical advocacy and competitive differentiation, positioning Automation Anywhere's unique capabilities against alternative solutions
• Expansion Opportunity Identification: Identify and drive additional use cases and expansion opportunities within existing accounts, serving as a technical champion for growth
• Partner Enablement: Work with implementation partners and system integrators to transfer knowledge and enable successful customer deployments
• Market and Segment Development: Contribute to go-to-market strategies and frameworks that enable penetration into new industries and segments