Forward Deployed Engineer

AutoStore System•San Jose, CA

1d•Hybrid

About The Position

About Us: Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry’s first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics—all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential. Our opportunity: At Automation Anywhere, the leader in Agentic Process Automation (APA), we are on a mission to build intelligent AI agents that solve real-world business problems at enterprise scale. Leveraging the latest advancements in Large Language Models (LLMs) and agent-based AI systems, we focus on delivering solutions that are secure, reliable, and cost-effective for our customers. As a Forward Deployed Engineer, you will be on the front lines of deploying high-impact AI agents, partnering closely with customers and collaborating with our software and machine learning teams to drive successful, real-world implementations. You’ll design and develop intelligent agents, integrate them seamlessly with external systems, and provide hands-on technical guidance to ensure adoption and value realization, while also contributing to the continuous evolution of our core automation platform. This role is ideal for a self-driven, adaptable engineer who thrives at the intersection of cutting-edge AI, customer engagement, and practical problem solving.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
4+ years of experience in software development, AI/ML engineering, or system integration
Proficiency in Python, with the ability to write clean, efficient code
Familiarity with AI/ML concepts. Hands-on experience with large language models (LLMs), and prompt engineering techniques are strongly preferred
Strong understanding of general AI agent frameworks, function calling, and retrieval-augmented generation (RAG). Hands-on experience of building such a system is strongly preferred
Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, containerization, monitoring)
Hands-on experience with integrating systems via APIs, webhooks, and data pipelines
Ability to use data-driven decision-making, including A/B testing and performance monitoring, to refine solutions
Customer Partnership & Executive Presence – Ability to build trusted advisor relationships with customers, confidently lead technical discussions, deliver compelling demos, and translate complex AI concepts into clear, business-relevant outcomes
Cross-Functional Collaboration – Proven ability to work effectively across software engineering, machine learning, product, and services teams to align on requirements, drive execution, and deliver high-impact AI agent solutions
Adaptability & Learning Agility – Thrives in fast-moving, evolving AI environments; quickly absorbs new technologies, adjusts to changing customer needs, and iterates solutions based on feedback and real-world constraints
Problem Solving & Systems Thinking – Strong analytical mindset with the ability to diagnose complex technical and business challenges, identify root causes, and design scalable, pragmatic solutions in enterprise environments
Ownership, Accountability & Execution Focus – Demonstrates a high degree of ownership from concept through deployment, proactively manages milestones and risks, and consistently delivers results with a bias toward action and outcomes

Responsibilities

Developing, configuring, and deploying AI agents using Automation Anywhere’s AI platform and tools
Integrating AI agents with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration
Optimizing agent performance (e.g. fine-tune prompts and configurations) and troubleshoot issues in complex enterprise environments
Collaborating with customers and internal stakeholders to gather technical requirements and translate business needs into AI Agent solutions
Conducting interactive demos and presenting compelling proof-of-concepts to customers, proactively gather feedback, and iteratively refine solutions to meet objectives
Defining project milestones, creating implementation plans, and coordinating execution with internal teams to ensure on-time delivery
Serving as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage