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Automation Anywhere

engineering opportunity

Sr. Data Scientist Engineer

This role involves designing, developing, and deploying scalable AI solutions including machine learning, NLP, and LLM-based agentic systems. The position also focuses on building robust data pipelines, monitoring model performance, and collaborating cross-functionally to translate business requirements into production-ready AI services.

United StatesremoteFULL_TIME

Posted

About the role

What will you do at Automation Anywhere?

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:

This role designs, develops, and deploys scalable AI and data-driven solutions leveraging machine learning, deep learning, natural language processing (NLP), and large language models (LLMs). The position is responsible for building intelligent agent architectures, prompt-driven workflows, and retrieval-augmented generation (RAG) pipelines that integrate enterprise data sources and vector databases to deliver impactful business outcomes.

Working cross-functionally with Engineering, Product Management, and customer-facing teams, this individual translates business and customer requirements into production-ready AI solutions. Key responsibilities include designing and maintaining high-quality data pipelines, performing data preprocessing and model experimentation, and deploying AI/ML services through APIs, microservices, and cloud-native platforms.

The role also focuses on system reliability, model evaluation, and continuous improvement. This includes developing quantitative and qualitative frameworks to assess model performance and LLM outputs, monitoring scalability and robustness of AI systems, proactively addressing technical risks and customer challenges, and contributing well-documented, modular, and maintainable AI/ML and data engineering solutions.

Success in this role requires a commitment to operational excellence, innovation, and the ongoing advancement of AI capabilities across the organization.

Location: Remote - Pacific and Mountain Time Zones preferred.

You will make an impact by being responsible for:

Build, evaluate, and deploy machine learning, deep learning, NLP, and LLM-based applications

Develop LLM-powered agents and agentic AI systems

Design prompt engineering strategies and LLM evaluation pipelines

Implement retrieval-augmented generation (RAG) systems using vector databases and knowledge sources

Design and maintain scalable, reliable data pipelines and datasets

Perform data preprocessing, feature engineering, and model experimentation

Deploy AI/ML services via APIs, microservices, and cloud infrastructure

Monitor model performance and continuously improve system reliability and scalability

Collaborate cross-functionally to translate customer needs into technical solutions

Identify risks, manage customer pain points, and drive continuous improvement initiatives

You will be a great fit if you have:

Master’s degree in Artificial Intelligence, Computer Science, Data Science, or related field

Minimum 3-years experience in relevant fields

Strong programming skills in Python, Java, SQL and data processing

Experience working with structured and unstructured data

Knowledge of machine learning, deep learning, NLP, and LLM systems

Deep knowledge of MCP and A2A protocols

Experience with model training, evaluation, and experimentation

Familiarity with prompt engineering, agent-based architectures, and retrieval systems

Experience with APIs, distributed systems, and cloud platforms

Ability to apply data science and AI techniques to real-world business problems

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

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

Automation Anywhere is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.

If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [email protected].

At this time, we typically do not offer visa sponsorship for this position. Candidates should generally be authorized to work in the United States without the need for current or future sponsorship.

All unsolicited resumes submitted to any @automationanywhere.com email address, whether submitted by an individual or by an agency, will not be eligible for an agency fee.

Which skills does this role require?

Natural language processingLarge language modelsData engineeringCloud platformsAgentic Process AutomationProcess Reasoning EngineRPACloud-nativeDistributed SystemsModel EvaluationAPIAutomation AnywhereLLMsA/B Testing

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.

Role information can change. Confirm current details on the original application page.

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