AI ML Engineering Visa Sponsorship Jobs in Pennsylvania
Pennsylvania's AI/ML engineering hiring is concentrated in Philadelphia and Pittsburgh, where employers like Comcast, Carnegie Mellon University spinouts, and major health systems including UPMC actively recruit for machine learning roles. The state's strong research university network and growing fintech and healthcare AI sectors make it a consistent source of H-1B visa sponsorship activity for international candidates.
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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 Engineering Job Roles in Pennsylvania
See all 31+ AI ML Engineering Jobs in Pennsylvania
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Search AI ML Engineering Jobs in PennsylvaniaAI ML Engineering Jobs in Pennsylvania: Frequently Asked Questions
Which companies sponsor visas for AI/ML engineers in Pennsylvania?
Comcast and its technology subsidiaries in Philadelphia regularly sponsor H-1B visas for machine learning roles. In Pittsburgh, companies tied to Carnegie Mellon's research ecosystem, along with UPMC and health tech firms, are active sponsors. Large financial institutions with Pennsylvania operations, including those in Philadelphia's fintech corridor, also file H-1B petitions for AI and data science engineering positions.
Which visa types are most common for AI/ML engineering roles in Pennsylvania?
The H-1B is the most common visa for AI/ML engineering roles in Pennsylvania, as these positions typically require at least a bachelor's degree in computer science, mathematics, or a related field, meeting the specialty occupation standard. Candidates with outstanding research records may qualify for the O-1A. F-1 graduates from Pennsylvania universities often begin on OPT or STEM OPT before their employer files an H-1B petition.
Which cities in Pennsylvania have the most AI/ML engineering sponsorship jobs?
Philadelphia and Pittsburgh account for the large majority of AI/ML engineering sponsorship activity in Pennsylvania. Philadelphia draws employers in fintech, media technology, and healthcare AI, while Pittsburgh's proximity to Carnegie Mellon University and the University of Pittsburgh has made it a recognized hub for machine learning research and commercialization. Smaller concentrations exist in suburban Philadelphia counties where pharmaceutical and biotech firms operate.
How to find ai ml engineering visa sponsorship jobs in Pennsylvania?
Migrate Mate filters job listings specifically for roles where employers have a demonstrated history of visa sponsorship, so you can focus on AI/ML engineering openings in Pennsylvania without sifting through positions that don't support international candidates. Searching by state on Migrate Mate surfaces roles in Philadelphia, Pittsburgh, and surrounding areas from employers who have filed H-1B petitions for comparable positions.
Are there state-specific factors that affect AI/ML engineering sponsorship in Pennsylvania?
Pennsylvania's concentration of research universities, particularly Carnegie Mellon, Penn, and Pitt, creates a steady pipeline of F-1 graduates transitioning to sponsored roles, which means Pennsylvania employers are generally experienced with the H-1B process. Healthcare AI is a particularly active hiring area given the density of major health systems in the state. Prevailing wage requirements apply statewide, with Philadelphia and Pittsburgh commanding different wage levels reflecting local market conditions.
What is the prevailing wage for sponsored ai ml engineering 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.