AI ML Engineer Visa Sponsorship Jobs in Pennsylvania
Pennsylvania's AI/ML engineering market is anchored by Philadelphia's life sciences and fintech sectors, Pittsburgh's Carnegie Mellon University research ecosystem, and major employers including Comcast, SEI Investments, and UPMC. Companies across these hubs actively file H-1B visa petitions for AI/ML roles, making Pennsylvania one of the more active mid-Atlantic states for visa sponsorship in this field.
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About the Role
We are looking for a Senior Full-Stack Developer to lead the technical realization of our generative AI roadmap. In this role, you won’t just be using AI to write code; you will be building the AI systems that power our enterprise. You will design and deploy intelligent agents, orchestrate complex workflows, and fine-tune models to solve real-world asset management challenges.
Our philosophy is centered on human-augmentation. You will build tools that enhance expert judgment through sophisticated Agentic workflows, ensuring our AI implementations are scalable, secure, and execution-focused.
Job Description:
- Architect Agentic Workflows: Design and implement multi-agent systems and autonomous workflows using flow-based orchestration and chain-of-thought reasoning.
- Database & Vector Management: Manage enterprise data and high-dimensional vector embeddings within PostgreSQL, ensuring efficient retrieval for RAG (Retrieval-Augmented Generation) pipelines.
- LLM Integration & Optimization: Lead the integration of LLMs via Azure OpenAI, focusing on prompt engineering, model parameter tuning, and performance monitoring.
- Fine-Tuning: Identify opportunities where fine-tuning specific models can improve domain-specific performance and lead the data preparation and execution process.
- System Orchestration: Build and manage AI middleware that connects LLMs to PostgreSQL, enterprise data sources, and third-party APIs.
- Technical Leadership: Create playbooks for AI development and mentor the team on LLM best practices, ensuring AI-generated outputs meet rigorous accuracy standards.
What We're Looking For
Required:
- AI Specialization: 1+ years of experience building AI-powered applications, with a deep understanding of LLM capabilities, limitations, and prompt engineering.
- Agentic Frameworks: Proven experience building AI Agents (e.g., using orchestration frameworks, LangChain, or flow-based visual programming tools).
- Database Expertise: Strong proficiency in PostgreSQL (or other relational databases), including experience with relational schema design and ideally pgvector for managing vector embeddings.
- Azure AI Ecosystem: Proficiency in the Azure environment, specifically Azure OpenAI Service and Azure App Services.
- Model Fine-Tuning: Hands-on experience preparing datasets and executing the fine-tuning of open-source or proprietary models.
- Core Engineering: Strong background in C#/.NET, ensuring AI features are built on a stable, enterprise-grade backend.
Nice to Have:
- Azure cloud experience (App Services, Functions, SQL Database, Vector Databases)
- Familiarity with Python for AI prototyping and data manipulation.
- Experience with microservices architecture
- Knowledge of AI security, specifically mitigating prompt injection and ensuring data privacy in RAG.
- Familiarity with monorepo tooling
- Experience mentoring or leading other developers
Benefits:
- Generous Paid Time Off
- 11 Paid Holidays
- Medical, Dental, Vision, Life insurance benefits with various choices and generous employer contribution
- 401k with employer match which immediately vests
- Annual Company Bonus
- Career growth and mentoring opportunities as a smaller business unit within the Volaris Group
- Tuition Reimbursement Program
- Employee rewards and recognition programs
- Optional Employee Stock Purchase Program with company match
- Pet insurance
- Employee Discount Platform discounted entertainment tickets to movies, sporting events, hotels, live performances, etc.
- Referral bonuses
- Employee engagement events
- Flexible remote work arrangements
Worker Type:
Regular
Number of Openings Available:
1
Job Summary:
About the Role
We are looking for a Senior Full-Stack Developer to lead the technical realization of our generative AI roadmap. In this role, you won’t just be using AI to write code; you will be building the AI systems that power our enterprise. You will design and deploy intelligent agents, orchestrate complex workflows, and fine-tune models to solve real-world asset management challenges.
Our philosophy is centered on human-augmentation. You will build tools that enhance expert judgment through sophisticated Agentic workflows, ensuring our AI implementations are scalable, secure, and execution-focused.
Job Description:
- Architect Agentic Workflows: Design and implement multi-agent systems and autonomous workflows using flow-based orchestration and chain-of-thought reasoning.
- Database & Vector Management: Manage enterprise data and high-dimensional vector embeddings within PostgreSQL, ensuring efficient retrieval for RAG (Retrieval-Augmented Generation) pipelines.
- LLM Integration & Optimization: Lead the integration of LLMs via Azure OpenAI, focusing on prompt engineering, model parameter tuning, and performance monitoring.
- Fine-Tuning: Identify opportunities where fine-tuning specific models can improve domain-specific performance and lead the data preparation and execution process.
- System Orchestration: Build and manage AI middleware that connects LLMs to PostgreSQL, enterprise data sources, and third-party APIs.
- Technical Leadership: Create playbooks for AI development and mentor the team on LLM best practices, ensuring AI-generated outputs meet rigorous accuracy standards.
What We're Looking For
Required:
- AI Specialization: 1+ years of experience building AI-powered applications, with a deep understanding of LLM capabilities, limitations, and prompt engineering.
- Agentic Frameworks: Proven experience building AI Agents (e.g., using orchestration frameworks, LangChain, or flow-based visual programming tools).
- Database Expertise: Strong proficiency in PostgreSQL (or other relational databases), including experience with relational schema design and ideally pgvector for managing vector embeddings.
- Azure AI Ecosystem: Proficiency in the Azure environment, specifically Azure OpenAI Service and Azure App Services.
- Model Fine-Tuning: Hands-on experience preparing datasets and executing the fine-tuning of open-source or proprietary models.
- Core Engineering: Strong background in C#/.NET, ensuring AI features are built on a stable, enterprise-grade backend.
Nice to Have:
- Azure cloud experience (App Services, Functions, SQL Database, Vector Databases)
- Familiarity with Python for AI prototyping and data manipulation.
- Experience with microservices architecture
- Knowledge of AI security, specifically mitigating prompt injection and ensuring data privacy in RAG.
- Familiarity with monorepo tooling
- Experience mentoring or leading other developers
Benefits:
- Generous Paid Time Off
- 11 Paid Holidays
- Medical, Dental, Vision, Life insurance benefits with various choices and generous employer contribution
- 401k with employer match which immediately vests
- Annual Company Bonus
- Career growth and mentoring opportunities as a smaller business unit within the Volaris Group
- Tuition Reimbursement Program
- Employee rewards and recognition programs
- Optional Employee Stock Purchase Program with company match
- Pet insurance
- Employee Discount Platform discounted entertainment tickets to movies, sporting events, hotels, live performances, etc.
- Referral bonuses
- Employee engagement events
- Flexible remote work arrangements
Worker Type:
Regular
Number of Openings Available:
1
AI ML Engineer Job Roles in Pennsylvania
See all 32+ AI ML Engineer Jobs in Pennsylvania
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Search AI ML Engineer Jobs in PennsylvaniaAI ML Engineer Jobs in Pennsylvania: Frequently Asked Questions
Which companies sponsor visas for AI/ML engineers in Pennsylvania?
Prominent Pennsylvania-based sponsors for AI/ML engineering roles include Comcast (Philadelphia), UPMC and Carnegie Mellon University-affiliated spinoffs (Pittsburgh), SEI Investments, and Vanguard. National tech firms with Pennsylvania offices, including Google and Amazon, also file H-1B petitions for AI/ML positions in the state. Sponsorship activity is concentrated in Philadelphia and Pittsburgh, with healthcare and fintech employers making up a significant share.
Which visa types are most common for AI/ML engineer roles in Pennsylvania?
The H-1B is the most common visa for AI/ML engineers in Pennsylvania, as these roles consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, data science, or a related field. Candidates already holding OPT or STEM OPT through Pennsylvania universities like Carnegie Mellon, Penn, or Pitt are frequently sponsored by their employers for H-1B status through the annual lottery.
Which cities in Pennsylvania have the most AI/ML engineer sponsorship jobs?
Pittsburgh and Philadelphia account for the vast majority of AI/ML engineer visa sponsorship activity in Pennsylvania. Pittsburgh's concentration of academic institutions and AI research centers, including Carnegie Mellon's Machine Learning Department, drives strong demand from both startups and established tech employers. Philadelphia's fintech, insurance, and healthcare sectors generate steady sponsorship hiring, particularly from firms like Comcast, Independence Blue Cross, and financial services companies.
How to find ai ml engineer visa sponsorship jobs in Pennsylvania?
Migrate Mate filters job listings specifically for visa sponsorship eligibility, making it straightforward to browse AI/ML engineer openings in Pennsylvania without sorting through roles that won't support international candidates. You can filter by state and role to surface positions from Pennsylvania employers with a documented history of H-1B filings for AI/ML engineering functions, saving significant time compared to unfiltered searches.
Are there any Pennsylvania-specific considerations for AI/ML engineers seeking visa sponsorship?
Pittsburgh's status as a nationally recognized AI research hub, driven by Carnegie Mellon University and a dense cluster of robotics and machine learning startups, creates a pipeline effect where many sponsored candidates come through university research or graduate programs. Pennsylvania employers sponsoring H-1B workers for AI/ML roles must comply with Department of Labor prevailing wage requirements, which are benchmarked to the Pittsburgh and Philadelphia metropolitan wage data for software and AI-related occupations respectively.
What is the prevailing wage for sponsored ai ml engineer jobs in Pennsylvania?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.