**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. **Who you'll report to:** This position reports to our Manager, AI Services **Location:** Hybrid role with regular onsite workdays in our San Jose, CA office strongly preferred **You will make an impact by being responsible for:** + 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 **You will be a great fit if you have:** + 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 **You excel in these key competencies:** + 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 The salary range or on-target earnings (base