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Foundry Engineer Jobs in Tennessee (NOW HIRING)

Dellfor Technologies

$80K/yr

... cloud foundry, spring boot, scrum Additional Information Highlights and benefits * We are a ... Developer: 5-12year

PRIORITY ONDEMAND

AI Programs Director

Knoxville, TN · On-site

LLM APIs, RAG, agent frameworks (LangGraph, MCP, or comparable) • Cloud AI platform experience (Azure AI Foundry preferred; AWS Bedrock or Google Vertex acceptable). • Data engineering ...

Priority OnDemand

AI Programs Director

Knoxville, TN · On-site

LLM APIs, RAG, agent frameworks (LangGraph, MCP, or comparable) • Cloud AI platform experience (Azure AI Foundry preferred; AWS Bedrock or Google Vertex acceptable). • Data engineering ...

Priority Ondemand

AI Programs Director

Knoxville, TN · On-site

$120 - $160/hr

Cloud AI platform experience (Azure AI Foundry preferred; AWS Bedrock or Google Vertex acceptable) * Data engineering fundamentals: strong SQL, modern data warehouse (Snowflake or Databricks ...

Crowe LLP

Machine Learning Engineer

Nashville, TN · On-site

$62K - $100K/yr

Knowledge of prompt engineering and retrieval augmented generation (RAG) and experience with advanced AI tools such as ChatGPT Enterprise and Microsoft Copilot, Azure AI Foundry. * Experience in fine ...

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Foundry Engineer information

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$54.5K

$73K

$101.2K

How much do foundry engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for foundry engineer in Tennessee is $72,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $77,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a foundry engineer?

To excel as a Foundry Engineer, a thorough understanding of metallurgy, casting processes, and materials science is essential, usually backed by a degree in engineering or a related field. Familiarity with computer-aided design (CAD) software, simulation tools, and quality control systems is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help in troubleshooting and collaborating with production teams. These competencies are vital for ensuring efficient, high-quality casting production and for maintaining safety and cost-effectiveness in foundry operations.

What are some common challenges foundry engineers face when working with new alloys or casting techniques?

Foundry Engineers often encounter challenges such as unpredictable material behavior, difficulty in achieving desired mechanical properties, and managing defects like porosity or cracking when working with new alloys or casting processes. Addressing these requires close collaboration with metallurgists, quality assurance teams, and production staff to fine-tune process parameters and conduct thorough testing. Staying updated on industry advancements and utilizing simulation software can also help mitigate these challenges and ensure optimal casting outcomes.

What is the difference between Foundry Engineer vs Metallurgist?

AspectFoundry EngineerMetallurgist
CredentialsBachelor's in Mechanical, Materials, or Metallurgical EngineeringBachelor's or Master's in Metallurgy, Materials Science, or related fields
Work EnvironmentManufacturing plants, foundries, casting facilitiesResearch labs, metallurgical labs, industrial settings
Industry UsageDesigning and improving casting processes, overseeing productionAnalyzing metal properties, developing alloys, quality control

Foundry Engineers focus on designing, managing, and optimizing casting processes in manufacturing environments. Metallurgists analyze metal properties and develop new alloys. While both roles require knowledge of metals, Foundry Engineers are more involved in production processes, whereas Metallurgists focus on material analysis and research.

What is a foundry engineer?

A foundry is a factory or other facility that creates metal castings of products. A foundry engineer designs or upgrades these facilities. They determine the size and strength of the building required based on the client’s needs, ensuring the facility can withstand the high levels of heat needed to make metal molds, utilizes top-of-the-line technologies, and that its construction provides maximum efficiency. Foundry engineers may also redesign or make improvements to older factories to make them more productive. To pursue a career in foundry engineering, you need at least a bachelor’s degree in engineering or a related field. Other qualifications may include experience with metalworks or in the construction industry.

More about Foundry Engineer jobs

What are the most commonly searched types of Foundry Engineer jobs in Tennessee?

The most popular types of Foundry Engineer jobs in Tennessee are:

What are popular job titles related to Foundry Engineer jobs in Tennessee?

For Foundry Engineer jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Foundry Engineer jobs in Tennessee look for?

The top searched job categories for Foundry Engineer jobs in Tennessee are:

What are popular job titles related to Foundry Engineer jobs in TN?

For Foundry Engineer jobs in TN, the most frequently searched job titles are:

Foundry Engineer jobs near you
Infographic showing various Foundry Engineer job openings in Tennessee as of August 2026, with employment types broken down into 89% Full Time, 5% Part Time, and 6% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $72,987 per year, or $35.1 per hour.

Senior Microsoft Forward Deployed Engineer - GPS

Deloitte

Nashville, TN

$100K - $138K/yr

Full-time

Re-posted 7 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services

Job description

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As an Microsoft Forward Deployed Engineer (FDE), you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Engineering as a Service offering provides end-to-end design, implementation, and technology operations, leveraging our core engineering expertise. We help transform engineering teams, modernize technology, and deliver complex programs with a product engineering mindset. Our flexible delivery models-traditional teams, pools, or pods-are tailored for each client's needs, offering engineering-led Advise, Implement, and Operate capabilities to accelerate innovation.

Qualifications

Required:

  • Bachelor's degree (or equivalent) in Computer Science, Data Science, Engineering, or related field.
  • 7+ years of experience in software engineering, data engineering, data science, or analytics engineering.
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments.
  • 1+ years of experience with Microsoft including hands on experience with one of the following key platform technologies: production-grade Python and TypeScript or C#, Azure AI Foundry and Azure OpenAI hands-on experience, Azure AI Search with real RAG implementation experience
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions.
  • 1+ years of experience building reliable, maintainable, and well-documented code.
  • 1+ years experience with Copilot Studio and/or M365 Copilot extensibility (declarative agents, API plugins, Graph connectors)
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Ability to obtain and maintain a US government security clearance.

Preferred:

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking).
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments.
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation.
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management.
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures.
  • Semantic Kernel or AutoGen; agentic patterns; structured output and tool/function calling
  • Microsoft Fabric, Synapse, or Databricks-on-Azure
  • Eval frameworks, prompt engineering rigor, responsible AI (content safety, red-teaming, PII)
  • Azure landing zone fluency
  • GPS experience
  • MCT, MVP, or meaningful certs (AI-102, AZ-204, DP-700, Copilot certs)
  • Prior FDE experience at Palantir, OpenAI, Anthropic, or similar
  • Experience operating within hybrid onshore/offshore teams.
  • Familiarity with security, privacy, and compliance considerations.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


ai&e fy27 profile

Qualifications:

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As an Microsoft Forward Deployed Engineer (FDE), you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Engineering as a Service offering provides end-to-end design, implementation, and technology operations, leveraging our core engineering expertise. We help transform engineering teams, modernize technology, and deliver complex programs with a product engineering mindset. Our flexible delivery models-traditional teams, pools, or pods-are tailored for each client's needs, offering engineering-led Advise, Implement, and Operate capabilities to accelerate innovation.

Qualifications

Required:

  • Bachelor's degree (or equivalent) in Computer Science, Data Science, Engineering, or related field.
  • 7+ years of experience in software engineering, data engineering, data science, or analytics engineering.
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments.
  • 1+ years of experience with Microsoft including hands on experience with one of the following key platform technologies: production-grade Python and TypeScript or C#, Azure AI Foundry and Azure OpenAI hands-on experience, Azure AI Search with real RAG implementation experience
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions.
  • 1+ years of experience building reliable, maintainable, and well-documented code.
  • 1+ years experience with Copilot Studio and/or M365 Copilot extensibility (declarative agents, API plugins, Graph connectors)
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Ability to obtain and maintain a US government security clearance.

Preferred:

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking).
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments.
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation.
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management.
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures.
  • Semantic Kernel or AutoGen; agentic patterns; structured output and tool/function calling
  • Microsoft Fabric, Synapse, or Databricks-on-Azure
  • Eval frameworks, prompt engineering rigor, responsible AI (content safety, red-teaming, PII)
  • Azure landing zone fluency
  • GPS experience
  • MCT, MVP, or meaningful certs (AI-102, AZ-204, DP-700, Copilot certs)
  • Prior FDE experience at Palantir, OpenAI, Anthropic, or similar
  • Experience operating within hybrid onshore/offshore teams.
  • Familiarity with security, privacy, and compliance considerations.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


ai&e fy27 profile

Education:Bachelor's DegreeEmployment Type:

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