Senior Data Science Engineer Visa Sponsorship Jobs in Tennessee
Tennessee's senior data science engineer job market spans healthcare analytics in Nashville, logistics and supply chain intelligence in Memphis, and advanced manufacturing research at Oak Ridge National Laboratory. Major employers including HCA Healthcare, FedEx, and Nissan North America have sponsored senior data science engineering roles, making Tennessee a competitive but accessible state for international candidates seeking visa sponsorship.
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Get Access To All JobsWho You’ll Work With:
The Investment Technology team is seeking a Nashville, TN based AI Solutions Engineer to build and deliver AI‑powered tools that integrate directly with enterprise data and APIs. You will work hands‑on with the latest GenAI technologies, partner closely with business users, and deliver practical AI solutions embedded into real investment workflows. This role is ideal for someone who enjoys building, experimenting, and productionizing modern AI tools in a highly analytical, business‑driven environment.
You will be a hands‑on AI Solutions Engineer responsible for designing, building, and deploying AI‑powered tools that integrate with enterprise data platforms and APIs. The role combines deep technical implementation skills with strong business partnership, working directly with investment, risk, and analytics users to deliver AI solutions embedded into real workflows.
This is not a research or advisory role—you will build, integrate, and deliver production‑ready AI tools using modern GenAI, LLM, and API‑based architectures.
What You’ll Do:
Build AI Tools Integrated with Data & APIs:
- Design and implement AI‑powered applications that integrate with enterprise data platforms, APIs, and services.
- Build copilots, assistants, and AI workflows that query, interpret, and act on structured and unstructured data.
- Integrate AI tools with internal systems, vendor APIs, and curated data layers.
Hands‑On GenAI & LLM Development:
- Implement solutions using large language models (LLMs) and modern GenAI frameworks.
- Build Retrieval‑Augmented Generation (RAG) patterns using enterprise data sources.
- Design prompt strategies, orchestration logic, and guardrails for reliable AI behavior.
- Develop agent‑style workflows that combine reasoning, tool usage, and data access.
Business Liaison & Solution Design:
- Partner directly with business users to understand problems, workflows, and opportunities for AI enablement.
- Translate business requirements into technical AI solution designs.
- Rapidly prototype, iterate, and productionize AI tools based on user feedback.
API & Integration Architecture:
- Design and consume REST‑based APIs to connect AI tools with data, services, and downstream systems.
- Build middleware or service layers that enable secure, scalable AI access to enterprise data.
- Ensure AI tools are modular, reusable, and extensible.
AI Governance, Security & Responsible Use:
- Ensure AI solutions comply with enterprise security, privacy, and data governance standards.
- Implement controls around data access, prompt safety, and output validation.
- Partner with architecture and risk teams to operationalize AI responsibly.
Stay Current with AI Technology:
- Continuously evaluate and apply the latest AI tools, frameworks, and platform capabilities.
- Bring forward best practices and emerging patterns in GenAI, copilots, and AI‑driven applications.
- Help shape enterprise standards for AI solution development.
What We’re Looking For:
AI & GenAI Engineering (Core):
- Hands‑on experience building AI applications using LLMs (OpenAI, Azure OpenAI, or equivalent).
- Experience implementing RAG architectures and AI workflows using enterprise data.
- Strong understanding of prompt engineering, orchestration, and AI behavior tuning.
APIs & Integration:
- Strong experience designing and consuming REST APIs.
- Ability to integrate AI tools with data platforms, internal services, and third‑party systems.
- Experience building lightweight service layers or backend components for AI applications.
Programming & Tooling:
- Proficiency in Python and/or TypeScript/JavaScript for AI application development.
- Familiarity with modern AI frameworks and SDKs (e.g., LangChain, Semantic Kernel, similar).
- Experience deploying AI solutions in cloud environments (Azure preferred).
Data Literacy:
- Strong understanding of structured and unstructured data concepts.
- Ability to work with curated datasets, semantic layers, and metadata‑driven access patterns.
- Comfort integrating AI solutions with analytics and reporting data.
Business Partnership:
- Proven ability to work directly with business users and translate needs into working solutions.
- Strong communication skills across technical and non‑technical audiences.
- Product‑oriented mindset focused on usability and adoption.
Nice to Have:
- Experience with Microsoft Copilot, Power Platform, or enterprise AI assistants.
- Familiarity with Snowflake, Databricks, or enterprise data warehouses (integration focus).
- Exposure to investment, financial, or analytical domains.
About AB
We are a leading global investment management firm offering high-quality research and diversified investment services to institutional clients, retail investors, and private-wealth clients in major markets around the globe. With over 4,000 employees across 57 locations operating in 26 countries and jurisdictions, our ambition is simple: to be the most trusted investment firm in the world. We realize that it's our people who give us a competitive advantage and drive success in the market, and our goal is to create an inclusive culture that rewards hard work.
Our culture of intellectual curiosity and collaboration creates an environment where you can thrive and do your best work. Whether you're producing thought-provoking research, identifying compelling investment opportunities, infusing new technologies into our business or providing thoughtful advice to our clients, we are fully invested in you. If you're ready to challenge your limits and empower your career, join us!
LOCATION: Nashville, Tennessee
Who You’ll Work With:
The Investment Technology team is seeking a Nashville, TN based AI Solutions Engineer to build and deliver AI‑powered tools that integrate directly with enterprise data and APIs. You will work hands‑on with the latest GenAI technologies, partner closely with business users, and deliver practical AI solutions embedded into real investment workflows. This role is ideal for someone who enjoys building, experimenting, and productionizing modern AI tools in a highly analytical, business‑driven environment.
You will be a hands‑on AI Solutions Engineer responsible for designing, building, and deploying AI‑powered tools that integrate with enterprise data platforms and APIs. The role combines deep technical implementation skills with strong business partnership, working directly with investment, risk, and analytics users to deliver AI solutions embedded into real workflows.
This is not a research or advisory role—you will build, integrate, and deliver production‑ready AI tools using modern GenAI, LLM, and API‑based architectures.
What You’ll Do:
Build AI Tools Integrated with Data & APIs:
- Design and implement AI‑powered applications that integrate with enterprise data platforms, APIs, and services.
- Build copilots, assistants, and AI workflows that query, interpret, and act on structured and unstructured data.
- Integrate AI tools with internal systems, vendor APIs, and curated data layers.
Hands‑On GenAI & LLM Development:
- Implement solutions using large language models (LLMs) and modern GenAI frameworks.
- Build Retrieval‑Augmented Generation (RAG) patterns using enterprise data sources.
- Design prompt strategies, orchestration logic, and guardrails for reliable AI behavior.
- Develop agent‑style workflows that combine reasoning, tool usage, and data access.
Business Liaison & Solution Design:
- Partner directly with business users to understand problems, workflows, and opportunities for AI enablement.
- Translate business requirements into technical AI solution designs.
- Rapidly prototype, iterate, and productionize AI tools based on user feedback.
API & Integration Architecture:
- Design and consume REST‑based APIs to connect AI tools with data, services, and downstream systems.
- Build middleware or service layers that enable secure, scalable AI access to enterprise data.
- Ensure AI tools are modular, reusable, and extensible.
AI Governance, Security & Responsible Use:
- Ensure AI solutions comply with enterprise security, privacy, and data governance standards.
- Implement controls around data access, prompt safety, and output validation.
- Partner with architecture and risk teams to operationalize AI responsibly.
Stay Current with AI Technology:
- Continuously evaluate and apply the latest AI tools, frameworks, and platform capabilities.
- Bring forward best practices and emerging patterns in GenAI, copilots, and AI‑driven applications.
- Help shape enterprise standards for AI solution development.
What We’re Looking For:
AI & GenAI Engineering (Core):
- Hands‑on experience building AI applications using LLMs (OpenAI, Azure OpenAI, or equivalent).
- Experience implementing RAG architectures and AI workflows using enterprise data.
- Strong understanding of prompt engineering, orchestration, and AI behavior tuning.
APIs & Integration:
- Strong experience designing and consuming REST APIs.
- Ability to integrate AI tools with data platforms, internal services, and third‑party systems.
- Experience building lightweight service layers or backend components for AI applications.
Programming & Tooling:
- Proficiency in Python and/or TypeScript/JavaScript for AI application development.
- Familiarity with modern AI frameworks and SDKs (e.g., LangChain, Semantic Kernel, similar).
- Experience deploying AI solutions in cloud environments (Azure preferred).
Data Literacy:
- Strong understanding of structured and unstructured data concepts.
- Ability to work with curated datasets, semantic layers, and metadata‑driven access patterns.
- Comfort integrating AI solutions with analytics and reporting data.
Business Partnership:
- Proven ability to work directly with business users and translate needs into working solutions.
- Strong communication skills across technical and non‑technical audiences.
- Product‑oriented mindset focused on usability and adoption.
Nice to Have:
- Experience with Microsoft Copilot, Power Platform, or enterprise AI assistants.
- Familiarity with Snowflake, Databricks, or enterprise data warehouses (integration focus).
- Exposure to investment, financial, or analytical domains.
About AB
We are a leading global investment management firm offering high-quality research and diversified investment services to institutional clients, retail investors, and private-wealth clients in major markets around the globe. With over 4,000 employees across 57 locations operating in 26 countries and jurisdictions, our ambition is simple: to be the most trusted investment firm in the world. We realize that it's our people who give us a competitive advantage and drive success in the market, and our goal is to create an inclusive culture that rewards hard work.
Our culture of intellectual curiosity and collaboration creates an environment where you can thrive and do your best work. Whether you're producing thought-provoking research, identifying compelling investment opportunities, infusing new technologies into our business or providing thoughtful advice to our clients, we are fully invested in you. If you're ready to challenge your limits and empower your career, join us!
LOCATION: Nashville, Tennessee
Senior Data Science Engineer Job Roles in Tennessee
See all 25+ Senior Data Science Engineer Jobs in Tennessee
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Search Senior Data Science Engineer Jobs in TennesseeSenior Data Science Engineer Jobs in Tennessee: Frequently Asked Questions
Which companies sponsor visas for senior data science engineers in Tennessee?
Healthcare and logistics companies lead sponsorship activity for senior data science engineers in Tennessee. HCA Healthcare and Vanderbilt University Medical Center sponsor roles in clinical data science and predictive analytics in Nashville. FedEx and its technology subsidiaries in Memphis hire for supply chain and operations data science. Oak Ridge National Laboratory and Tennessee Valley Authority also sponsor senior data science engineering positions, particularly for machine learning and energy systems work.
Which visa types are most common for senior data science engineer roles in Tennessee?
The H-1B is the most common visa for senior data science engineers in Tennessee, as the role consistently qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, statistics, or a related field. Candidates with advanced degrees may also encounter EB-2 pathways for permanent residence. Employers at federally funded institutions like Oak Ridge National Laboratory sometimes support J-1 or TN visas depending on candidate nationality and role structure.
How to find senior data science engineer visa sponsorship jobs in Tennessee?
Migrate Mate is the most direct way to find senior data science engineer visa sponsorship jobs in Tennessee. The platform filters specifically for roles where employers have demonstrated a history of sponsoring work visas, saving you from applying to positions where sponsorship is unlikely. Focus your search on Nashville's healthcare technology corridor and Memphis's logistics sector, where sponsorship activity for senior data science engineering roles is most concentrated.
Which cities in Tennessee have the most senior data science engineer sponsorship jobs?
Nashville accounts for the largest share of senior data science engineer sponsorship activity in Tennessee, driven by its healthcare IT sector and a growing technology startup scene. Memphis is the second most active city, with FedEx and related logistics companies hiring for data science roles in operations and supply chain optimization. Knoxville and the Oak Ridge corridor represent a smaller but consistent source of sponsorship, particularly for research-oriented senior data science engineering positions.
Are there state-specific factors that affect visa sponsorship for senior data science engineers in Tennessee?
Tennessee has no state income tax, which can affect how employers structure total compensation packages for sponsored roles, though this does not change the federal H-1B prevailing wage requirements that employers must meet. The state's concentration in healthcare, logistics, and advanced manufacturing means senior data science engineers with domain experience in those industries are particularly competitive. University pipelines from Vanderbilt University and the University of Tennessee in Knoxville also feed into local employer sponsorship programs.
What is the prevailing wage for sponsored senior data science engineer jobs in Tennessee?
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.
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