AI Automation Senior Software Engineer

Join FactSet's Enterprise Solutions and Intelligence team as a Software Engineer to drive forward-thinking innovations in our internal Corporate systems as part of our Internal AI initiative. Your extensive expertise will be vital in deploying state-of-the-art solutions to automate workflow tasks and generate insight summaries from CRM (Salesforce), HCM (Workday), bug tracking (RPD/ServiceNow), usage logs (CLP/Elasticsearch) and various other billing, entitlement, pricing, revenue tracking, marketing systems. This role is perfect for someone with a passion for tackling complex problems in the corporate tools domain with a desire to interact with end users & stakeholders and has a proven ability to deliver robust, high-performance AI systems.

Job Requirements:

• Bachelor's or master's degree in Computer Science or equivalent.
• 5+ years of software engineering experience, significantly focused on LLM/AI/ML solutions.
• Experience operating within Salesforce, Workday or Gainsight tech stack (AgentForce, Einstein).
• Familiarity with Agentic Workflow frameworks such as, but not limited to, LangChain/Graph, AutoGen, Swarm, MetaGPT.
• Demonstrated expertise and managed services within cloud architecture (primarily AWS).
• Solid understanding of Natural Language Processing/Machine/Deep Learning fundamentals and their real-world applications, history of model development and deployment.
• Proficient in Python, with strong skills in Docker and API development.
• Knowledge of major database architectures including SQL, NoSQL, and Vector databases.
• Experience with Knowledge Graphs and architecting LLM-powered solutions.
• Expertise in NLP libraries such as nltk/SpaCy and proficiency in unstructured text analysis.
• Excellent communication skills, capable of engaging both technical and business audiences alike, and leading cross-functional projects.

Job Responsibilities:

• Architect groundbreaking agentic workflows tailored to task automation within inhouse and 3rd party licensed software service eco-systems.
• Vet, select and implement Agentic Workflow Framework for task automation and define specifications for integration capabilities for internal developers.
• Implement agents within selected frameworks to automate various repetitive manual tasks and summarize data out of corporate tools in concise human readable form.
• Design insight generation techniques that summarize key highlights from large complex datasets and supports natural language prompts for deep-dive analysis.
• Construct and maintain robust data pipelines capable of processing complex structured and unstructured quantitative and textual data, ensuring high quality inputs for our models.
• Work closely with data scientists and ML engineers to integrate and manage diverse ML and NLP models within production environments effectively.
• Maintain KPI-oriented mindset for prioritizing, executing and measuring success of output.
• Manage full software development lifecycle from initial design/coding and test/deployment.
• Act as a leader and mentor to team members, promoting a culture of innovation and continuous learning within the team.

At FactSet, we celebrate diversity of thought, experience, and perspective. We are committed to disrupting bias and a transparent hiring process. All qualified applicants will be considered for employment regardless of race, color, ancestry, ethnicity, religion, sex, national origin, gender expression, sexual orientation, age, citizenship, marital status, disability, gender identity, family status or veteran status. FactSet participates in E-Verify.

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