Forward Deployed Engineer

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 salary + on-target incentives) for this position is $130,000 – 150,000 a year. The salary ultimately offered is determined through a review of education, industry experience, training, knowledge, skills, and abilities of the applicant in alignment with market data and other factors.  This position is also eligible for equity and a full range of medical and other benefits.

Ready to Revolutionize Work? Join Us.

This is an opportunity to work with a global, passionate team pioneering technology that’s redefining the way people work, everywhere.  Join us and discover the many ways that you can have an impact, achieve your potential, and go be great.

Job Segment OR Key Words: SaaS, AI/ML, Python, LLM, RAG, APA, Agentic Process Automation

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Benefits and perks you’ll appreciate:

• Flexible work schedule / remote roles
• Unlimited Personal Time Off
• 12 holidays off per year
• 4 days volunteer time off per year
• Eligible for 4 company Achievement days off per year
• Variety of health care and well-being benefits
• Paid family/parental leave
• We are a designated “Best Place to Work” for 2 years in a row! Learn more here
• Newsweek’s Top 100 Most Loved Workplaces in America 2023 – Learn more here