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Senior Rpa Developer Jobs in Pennsylvania (NOW HIRING)

S and T Bank

Lead Automation Engineer

Indiana, PA · On-site

The Lead Automation Engineer will lead automation initiatives for a financial institution, focusing ... RPA, low-code, or process automation). Hands-on experience designing and implementing solutions ...

Forhyre

Test Automation - Manager

Philadelphia, PA

$46.50 - $61.25/hr

... PTF, RPA Testing, SAP Worksoft, Service Now, Talos, Test complete, Tosca, UFT, Voice bot/IVR ... Drive the adoption of best software engineering practices including CI/CD and automated testing.

Geisinger Health

Application Developer Senior

Danville, PA · On-site +1

$109K - $151K/yr

  • Medical

  • Dental

  • Vision

... robotic process automation) for processes and tasks where efficiency can be approved. The ... Developer Senior reviews, analyzes, modifies, creates, debugs, designs, and tests applications ...

Tata Consultancy Service Limited

Engineer

Pittsburgh, PA · On-site

$100K - $105K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience with relational databases * RPA - Automation Anywhere Roles & Responsibilities: * Highly skilled Senior Full-Stack Engineer with strong expertise in Python, Large Language Models (LLMs ...

MSD

Senior Specialist, Process Automation

West Point, PA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our company is seeking a Senior Specialist in Process Automation to join our Digital Manufacturing ... This role will lead a team of engineers in providing automation system support and expertise to ...

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Senior Rpa Developer information

See Pennsylvania salary details

$15

$61

$87

How much do senior rpa developer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for senior rpa developer in Pennsylvania is $61.88, according to ZipRecruiter salary data. Most workers in this role earn between $52.55 and $69.38 per hour, depending on experience, location, and employer.

What is a Senior RPA Developer?

A Senior RPA Developer is responsible for designing, developing, and implementing robotic process automation (RPA) solutions to improve business efficiency. They work with automation tools like UiPath, Automation Anywhere, or Blue Prism to streamline repetitive tasks. Their role includes analyzing processes, creating automation workflows, troubleshooting issues, and optimizing bots for performance. Additionally, they may mentor junior developers and collaborate with business teams to identify automation opportunities.

What are the key skills and qualifications needed to thrive as a Senior RPA Developer?

To excel as a Senior RPA Developer, you need advanced programming skills, expertise in robotic process automation platforms (such as UiPath, Blue Prism, or Automation Anywhere), and a strong background in process analysis and design. Proficiency with automation tools, scripting languages, and certifications like UiPath Certified Advanced RPA Developer are highly valued. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for collaborating with cross-functional teams. These skills help deliver reliable, efficient automation solutions that align with business goals and drive operational improvements.

What typical challenges do Senior RPA Developers encounter, and how can they be addressed?

Senior RPA Developers often face challenges such as integrating automation solutions with legacy systems, managing process exceptions, and ensuring bots remain resilient amid frequent process changes. Addressing these issues requires proactive process mapping, close collaboration with business analysts and IT teams, and rigorous testing. Working in this role, you'll regularly troubleshoot automation workflows and update bots to accommodate evolving business requirements, which keeps your work dynamic and engaging. A strong support network and ongoing learning can help you stay ahead of automation trends and best practices.

Is a Senior RPA Developer in demand?

Yes, Senior RPA Developers are in high demand as organizations increasingly adopt robotic process automation to improve efficiency. They are valued for their expertise in tools like UiPath, Automation Anywhere, and Blue Prism, and often require strong programming skills and process analysis experience. The role offers good job prospects due to the growing automation industry.

What is the senior RPA developer's salary?

The salary for a senior RPA developer typically ranges from $90,000 to $130,000 annually, depending on experience, location, and industry. Professionals with expertise in tools like UiPath, Automation Anywhere, or Blue Prism and relevant certifications tend to earn higher salaries.

What are the most commonly searched types of Rpa Developer jobs in Pennsylvania?

The most popular types of Rpa Developer jobs in Pennsylvania are:

What are popular job titles related to Senior Rpa Developer jobs in Pennsylvania?

For Senior Rpa Developer jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Senior Rpa Developer jobs in Pennsylvania look for?

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What cities in Pennsylvania are hiring for Senior Rpa Developer jobs?

Cities in Pennsylvania with the most Senior Rpa Developer job openings:

Senior Rpa Developer jobs near you
Infographic showing various Senior Rpa Developer job openings in Pennsylvania as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 74% In-person, and 26% Hybrid job distribution, with an average salary of $128,708 per year, or $61.9 per hour.

Senior Director, Agentic AI and Automation

Madrigal Pharmaceuticals

Conshohocken, PA • On-site

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Madrigal Pharmaceuticals is a biopharmaceutical company focused on delivering novel therapeutics for metabolic dysfunction-associated steatohepatitis (MASH). They are seeking a Senior Director for Agentic AI and Automation to lead the vision and deployment of AI-enabled workflows that enhance decision-making and operational efficiency across various functions.
Responsibilities:
• Define and execute a multi‑year agentic AI & RPA roadmap converging hyperautomation, process‑mining, and LLM‑driven workflows.
• Operationalize an Agentic Automation Center of Excellence (CoE) governing standards, reusable assets, and ROI tracking.
• Partner with cross‑functional executives to prioritise high‑value automations across the business.
• Define and execute a multi‑year roadmap converging agentic AI, RPA, and process‑mining.
• Operationalize an Agentic Automation CoE—governing standards, reusable templates, and ROI tracking.
• Partner with executive stakeholders to prioritise high‑value automations (clinical, commercial, PV, manufacturing).
• Champion MCP and agent‑orchestration patterns for future‑proof integration.
• Architect modular multi‑agent systems powered by frontier LLMs and leading agent frameworks (LangChain family, AutoGen, CrewAI, etc.).
• Design secure agent‑to‑agent (A2A) communication with shared memory, credential vaults, RBAC.
• Implement enterprise MCP engine and Agent Protocol standards enabling human–agent–bot collaboration.
• Standardise integration with vector stores and cloud MLOps platforms (Azure AI Search, Databricks, SageMaker, Vertex AI).
• Build event‑driven, low‑code pipelines (n8n, Dify, Glean) to trigger agentic RPA tasks in real time.
• Implement observability and governance (Arcade.dev, AgentOps, Langfuse).
• Establish robust testing harnesses and GxP‑compliant validation for every autonomous workflow.
• Leverage process‑ & task‑mining insights to auto‑generate automation backlogs and measure value.
• Lead a multi‑disciplinary squad of AI automation architects, prompt engineers, and product managers.
• Drive iterative product delivery using agile OKRs, rapid POCs, and continual KPI evaluation.
• Experiment with cutting‑edge agent research (ReWOO, SuperAGI, CAMEL) and open‑source Agentic RPA.
• Collaborate with open‑source communities, cloud partners, and leading vendors.
• Set standards for agent safety, ethical AI, and closed‑loop feedback.
• Forge deep partnerships with Enterprise Data, IT Infrastructure, and Cybersecurity teams.
Qualifications:
Required:
• Advanced degree (Ph.D. preferred) in AI, Data Science, Computer Science, Applied Mathematics, Engineering, Physics, or related field.
• 15+ years leading AI/ML or intelligent‑automation initiatives; 10+ years hands‑on with Python, SQL, R, MATLAB, PyTorch, Keras, Git.
• 12+ years architecting ML/deep‑learning solutions incl. LLMs (GPT‑4, BERT, LLaMA, Dolly) and RAG pipelines.
• 8+ years building web apps (Dash, Streamlit, Shiny) and advanced data products.
• 8+ years implementing scalable AI/ML on platforms like Databricks or Dataiku, with strong AI/MLOps.
• Deep knowledge of cloud data platforms (AWS, Azure, GCP) and compliance (GxP, HIPAA, GDPR).
• Strong theoretical foundation in ML/AI with contributions to papers and presentations.
• Exceptional written & verbal communication skills translating complex research to executives.
• Extensive leadership experience managing cross‑functional technology teams in regulated industries.
Company:
Madrigal Pharmaceuticals is a biopharmaceutical company developing therapeutics for the treatment of cardiovascular-metabolic diseases. Founded in 2016, the company is headquartered in Conshohocken, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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