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AI Automation Lead Software Engineer - LLM/AI/ML Solutions.

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FactSet

1mo ago

  • Job
    Full-time
    Mid Level
  • Software Engineering
    IT & Cybersecurity
  • Norwalk
  • Quick Apply

AI generated summary

  • You have 3+ years in LLM/AI/ML, experience with Salesforce/Workday, AWS cloud, Python, Docker, database architectures, NLP libraries, and strong communication skills.
  • You will design and implement automated workflows, integrate ML/NLP models, manage data pipelines, mentor team members, and ensure quality outputs through KPI tracking and the software development lifecycle.

Requirements

  • 3+ years of software engineering experience, significantly focused on LLM/AI/ML solutions.
  • Experience working with the Salesforce and Workday technology stacks, including platforms like AgentForce and Einstein.
  • Familiarity with Agentic Workflow frameworks, such as LangChain/Graph, AutoGen, Swarm, and MetaGPT.
  • Demonstrated expertise in cloud architecture, particularly with AWS, including managed services.
  • Strong understanding of Natural Language Processing, Machine Learning, and Deep Learning fundamentals, with a proven track record in model development and deployment.
  • Proficiency in Python, complemented by strong skills in Docker and API development.
  • Knowledge of major database architectures, including SQL, NoSQL, and Vector databases.
  • Experience with Knowledge Graphs and the ability to architect LLM-powered solutions.
  • Expertise in NLP libraries, such as NLTK and SpaCy, and proficiency in analyzing unstructured text.
  • Excellent communication skills, enabling effective engagement with both technical and business audiences, as well as leading cross-functional projects.
  • Bachelor’s degree in computer science.

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 support 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.

FAQs

What is the primary focus of the AI Automation Lead Software Engineer role?

The primary focus of the role is to drive innovations in internal corporate systems as part of FactSet's Internal AI initiative, specifically automating workflow tasks and generating insight summaries from various corporate tools.

What are the key responsibilities of this position?

Key responsibilities include architecting agentic workflows, implementing task automation frameworks, designing insight generation techniques, constructing data pipelines, collaborating with data scientists, and managing the full software development lifecycle.

What are the minimum requirements for candidates applying for this position?

Candidates must have 3+ years of software engineering experience, with a significant focus on LLM/AI/ML solutions.

What critical skills are required for this role?

Critical skills include experience with Salesforce and Workday technology stacks, familiarity with Agentic Workflow frameworks, cloud architecture knowledge (especially AWS), understanding of NLP and ML fundamentals, and proficiency in Python, Docker, and API development.

Are there any additional skills that would be beneficial for this position?

Yes, additional skills include knowledge of database architectures (SQL, NoSQL, Vector), experience with Knowledge Graphs, expertise in NLP libraries (NLTK, SpaCy), and excellent communication skills for engaging with technical and business audiences.

What educational qualification is required for this role?

A Bachelor’s degree in computer science is required for this position.

What is the salary range for this position?

The budgeted salary range for this position in Connecticut and New York is $175,000.00 to $190,000.00.

Does FactSet support a diverse workplace?

Yes, FactSet celebrates diversity of thought, experience, and perspective and is committed to a transparent hiring process without discrimination based on various personal attributes.

What is expected from the candidate in terms of leadership?

Candidates are expected to act as leaders and mentors, promoting a culture of innovation and continuous learning within the team.

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FactSet

#NotJustTheFacts

Consulting
Industry
10,001+
Employees
1978
Founded Year

Mission & Purpose

FactSet creates flexible, open data and software solutions for tens of thousands of investment professionals around the world, providing instant access to financial data and analytics that investors use to make crucial decisions. For 40 years, through market changes and technological progress, our focus has always been to provide exceptional client service. From more than 60 offices in 23 countries, we’re all working together toward the goal of creating value for our clients, and we’re proud that 95% of asset managers who use FactSet continue to use FactSet, year after year. As big as we grow, as far as we reach, and as successful as we become, we stay connected to our clients and to each other.