AI Engineer Jobs in Tennessee
AI Engineer jobs in Tennessee are actively sought across healthcare technology, financial services, logistics, and defense contracting, with openings ranging from entry-level data pipeline roles through senior machine learning architects. Nashville, Memphis, and Knoxville anchor most of the hiring, with employers like HCA Healthcare, FedEx, and Oak Ridge National Laboratory maintaining consistent demand for ai engineers. The most in-demand specialties in the state include natural language processing, computer vision, and MLOps infrastructure. Find a role that fits below and apply directly.
Find AI Engineer JobsOverview
Showing 4 of 30+ AI Engineer jobs
Description
About Alvarez & Marsal
Alvarez & Marsal (A&M) is a global consulting firm with entrepreneurial, action- and results-oriented professionals. We take a hands-on approach to solving our clients' problems and helping them reach their potential. A&M is different by design: we give people ownership and impact from day one, fuel development through real opportunity, and provide direct access to leaders who invest in our growth. Our culture celebrates independent thinkers and doers who positively impact clients and shape our industry. Guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity, our collaborative, globally minded environment is why our people love working at A&M.
The Team
The AI Lab Team sits within A&M's Global AI & Knowledge Organization (GAIKO). GAIKO brings together the firm's AI and Knowledge Management capabilities to put trusted, governed AI into everyday consulting work. The Lab's job is to turn repeatable business workflows into scalable agents and AI skills. Many of these workflows run today on Microsoft tools such as SharePoint, Power Platform and Power BI, and the pod reworks them into AI-first solutions that can be reused across the firm. Others will be built from scratch as internal teams bring new requests.
In this role, you'll work closely with the leads of A&M's business units, the Knowledge Management (KM) and Data team leads, and the AI Skills lead and engineers, product partners and knowledge specialists across GAIKO. Together you'll design and build headless skills and agents: reusable capabilities that work behind the scenes and connect to the AI tools our professionals already use. You'll be the bridge between the business and the build: translating what each business unit needs into working skills and agents, and teaching the rest of the pod to do the same. As the pod's go-to technical expert for skills and agents, you'll report to the AI Skills Pod lead with technical direction from the Intelligence Layer tech lead. Your work will directly shape how thousands of A&M colleagues use AI in their work with clients.
The team is growing, the work is technically demanding, and priorities will move quickly, so this role requires sound judgment, adaptability, and a willingness to contribute wherever the build needs support. We're looking for a fast builder who can take an idea from prototype to working capability quickly, learn from feedback and keep momentum without sacrificing quality. Just as important, you make the people around you better. You teach, share knowledge openly, step in across workstreams when needed, and adjust quickly when priorities shift.
How You Will Contribute
- Own end-to-end delivery of applied AI solutions, from proof of concept to production: problem framing, build, deployment, monitoring and iteration.
- Partner with business unit leaders and their teams to understand how they work, translate their needs into skills and agents, and agree clear success metrics.
- Work with the Knowledge Management and Data team leads to gather and clarify requirements, and translate them into skill and agent designs.
- Partner with our Data Engineering, BIU, and Intelligence Layer teams so that solutions are built on reliable, production-grade data.
- Design, build and operate headless skills and agentic workflows, including multi-step orchestration, tool routing, retrieval, guardrails, evaluation and human-in-the-loop controls.
- Build and maintain automated skill-building pipelines (templates, scaffolding, testing and evaluation harnesses, packaging and deployment) so new skills can be created and released quickly and consistently.
- Build integrations with large language model platforms and use the Model Context Protocol (MCP) to make skills available to approved AI tools and the Intelligence Layer.
- Integrate structured and unstructured content from enterprise systems while preserving source permissions, metadata and governance requirements.
- Guide the team in assessing current Power Platform and wider Microsoft stack processes, reimagining them as AI-first workflows rather than one-to-one rebuilds, and converting them into, or connecting them to, skills and agents.
- Train the wider team on how to build skills, through workshops, playbooks, templates, worked examples and office hours.
- Mentor engineers through pairing, code and design reviews and hands-on coaching, raising the quality bar for skills and agents across the pod.
- Apply and help shape engineering standards for skills and agents, working with the Intelligence Layer tech lead, including evaluation, CI/CD, versioning, reproducibility and performance monitoring.
- Bring forward recommendations on tools, frameworks and design patterns. Technical decisions are made by the Intelligence Layer tech lead together with the Intelligence Layer lead.
- Support responsible AI use, including data privacy, client confidentiality, model risk and decisions about third-party models.
- Communicate results, tradeoffs, risks and blockers clearly to pod leadership, the Intelligence Layer tech lead, business unit leaders and senior stakeholders in business terms.
Qualifications
Education
- Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics or a related quantitative field, or equivalent practical experience
- Cloud or AI-related certifications are a plus
Must-Have Experience and Skills
- 5+ years in software engineering, data science, machine learning or applied AI engineering, including 2+ years building and shipping LLM or agent-based systems in production
- Strong hands-on Python development experience
- Experience building LLM and generative AI applications, including RAG, prompting, evaluation and agentic patterns
- Demonstrated track record of designing, building and shipping multiple AI agents and skills into production (examples or a portfolio will be discussed at interview)
- Experience building automated pipelines for creating, testing, evaluating and deploying skills or agents at scale
- Hands-on experience with MCP, agent frameworks (for example, Claude Agent SDK, LangGraph, Semantic Kernel or similar) and reusable skill design
- Experience with CI/CD, testing and observability for production systems
Nice to Have
- Experience with the Microsoft stack (SharePoint Online, Power Platform, Fabric/Power BI, Azure), including hands-on Power Automate and Power Apps experience and the ability to re-engineer existing flows (strongly preferred)
- Experience with SQL and modern data platforms
- Experience working in Agile environments such as Scrum or Kanban
- Experience in a professional services or consulting environment
Communication, Mentoring and People Skills
- Excellent communicator who explains technical concepts in plain business language and can run discovery sessions with business unit leaders to draw out real requirements
- Proven mentor and teacher who has upskilled other engineers or non-technical colleagues, and enjoys building capability in others
- Confident presenting to and facilitating workshops with senior stakeholders
- Collaborative team player who builds strong working relationships across teams
- Bias toward action: builds quickly, ships often and learns through iteration
- High ownership and comfort with ambiguity and shifting priorities
- Sound judgment on when to ship, when to iterate and when to stop
Open Items to Confirm (remove before posting)
- Salary band: $140K to $180K (centered at $160K) is proposed; confirm with Talent Acquisition. Expect strong candidates to land in the upper half given the scope.
- Experience requirement: confirm 5+ years (including 2+ on LLM or agent systems) is right for the Manager level.
- Work arrangement: confirm remote, hybrid, or office-based expectations.
Your journey at A&M
At A&M, professional growth is tied directly to performance, not tenure. Our people take on meaningful, hands-on work supported by a performance development process that rewards contribution and fosters a culture of meritocracy. Stretch roles, evolving business needs, and firm growth create ongoing opportunities for ownership and building new skills, while direct access to senior leaders provides mentorship and real-time coaching along the way. We also prioritize your wellbeing through comprehensive benefits and resources. Together, these elements create an environment where high-performing professionals can continue to grow and advance from day one.
Regular employees working 30 or more hours per week are also entitled to participate in Alvarez & Marsal Holdings' fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez & Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type. Click here for more information regarding A&M's benefits programs.
The salary range is $140,000 - $160,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance. Please ask your recruiter for details.
Description
About Alvarez & Marsal
Alvarez & Marsal (A&M) is a global consulting firm with entrepreneurial, action- and results-oriented professionals. We take a hands-on approach to solving our clients' problems and helping them reach their potential. A&M is different by design: we give people ownership and impact from day one, fuel development through real opportunity, and provide direct access to leaders who invest in our growth. Our culture celebrates independent thinkers and doers who positively impact clients and shape our industry. Guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity, our collaborative, globally minded environment is why our people love working at A&M.
The Team
The AI Lab Team sits within A&M's Global AI & Knowledge Organization (GAIKO). GAIKO brings together the firm's AI and Knowledge Management capabilities to put trusted, governed AI into everyday consulting work. The Lab's job is to turn repeatable business workflows into scalable agents and AI skills. Many of these workflows run today on Microsoft tools such as SharePoint, Power Platform and Power BI, and the pod reworks them into AI-first solutions that can be reused across the firm. Others will be built from scratch as internal teams bring new requests.
In this role, you'll work closely with the leads of A&M's business units, the Knowledge Management (KM) and Data team leads, and the AI Skills lead and engineers, product partners and knowledge specialists across GAIKO. Together you'll design and build headless skills and agents: reusable capabilities that work behind the scenes and connect to the AI tools our professionals already use. You'll be the bridge between the business and the build: translating what each business unit needs into working skills and agents, and teaching the rest of the pod to do the same. As the pod's go-to technical expert for skills and agents, you'll report to the AI Skills Pod lead with technical direction from the Intelligence Layer tech lead. Your work will directly shape how thousands of A&M colleagues use AI in their work with clients.
The team is growing, the work is technically demanding, and priorities will move quickly, so this role requires sound judgment, adaptability, and a willingness to contribute wherever the build needs support. We're looking for a fast builder who can take an idea from prototype to working capability quickly, learn from feedback and keep momentum without sacrificing quality. Just as important, you make the people around you better. You teach, share knowledge openly, step in across workstreams when needed, and adjust quickly when priorities shift.
How You Will Contribute
- Own end-to-end delivery of applied AI solutions, from proof of concept to production: problem framing, build, deployment, monitoring and iteration.
- Partner with business unit leaders and their teams to understand how they work, translate their needs into skills and agents, and agree clear success metrics.
- Work with the Knowledge Management and Data team leads to gather and clarify requirements, and translate them into skill and agent designs.
- Partner with our Data Engineering, BIU, and Intelligence Layer teams so that solutions are built on reliable, production-grade data.
- Design, build and operate headless skills and agentic workflows, including multi-step orchestration, tool routing, retrieval, guardrails, evaluation and human-in-the-loop controls.
- Build and maintain automated skill-building pipelines (templates, scaffolding, testing and evaluation harnesses, packaging and deployment) so new skills can be created and released quickly and consistently.
- Build integrations with large language model platforms and use the Model Context Protocol (MCP) to make skills available to approved AI tools and the Intelligence Layer.
- Integrate structured and unstructured content from enterprise systems while preserving source permissions, metadata and governance requirements.
- Guide the team in assessing current Power Platform and wider Microsoft stack processes, reimagining them as AI-first workflows rather than one-to-one rebuilds, and converting them into, or connecting them to, skills and agents.
- Train the wider team on how to build skills, through workshops, playbooks, templates, worked examples and office hours.
- Mentor engineers through pairing, code and design reviews and hands-on coaching, raising the quality bar for skills and agents across the pod.
- Apply and help shape engineering standards for skills and agents, working with the Intelligence Layer tech lead, including evaluation, CI/CD, versioning, reproducibility and performance monitoring.
- Bring forward recommendations on tools, frameworks and design patterns. Technical decisions are made by the Intelligence Layer tech lead together with the Intelligence Layer lead.
- Support responsible AI use, including data privacy, client confidentiality, model risk and decisions about third-party models.
- Communicate results, tradeoffs, risks and blockers clearly to pod leadership, the Intelligence Layer tech lead, business unit leaders and senior stakeholders in business terms.
Qualifications
Education
- Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics or a related quantitative field, or equivalent practical experience
- Cloud or AI-related certifications are a plus
Must-Have Experience and Skills
- 5+ years in software engineering, data science, machine learning or applied AI engineering, including 2+ years building and shipping LLM or agent-based systems in production
- Strong hands-on Python development experience
- Experience building LLM and generative AI applications, including RAG, prompting, evaluation and agentic patterns
- Demonstrated track record of designing, building and shipping multiple AI agents and skills into production (examples or a portfolio will be discussed at interview)
- Experience building automated pipelines for creating, testing, evaluating and deploying skills or agents at scale
- Hands-on experience with MCP, agent frameworks (for example, Claude Agent SDK, LangGraph, Semantic Kernel or similar) and reusable skill design
- Experience with CI/CD, testing and observability for production systems
Nice to Have
- Experience with the Microsoft stack (SharePoint Online, Power Platform, Fabric/Power BI, Azure), including hands-on Power Automate and Power Apps experience and the ability to re-engineer existing flows (strongly preferred)
- Experience with SQL and modern data platforms
- Experience working in Agile environments such as Scrum or Kanban
- Experience in a professional services or consulting environment
Communication, Mentoring and People Skills
- Excellent communicator who explains technical concepts in plain business language and can run discovery sessions with business unit leaders to draw out real requirements
- Proven mentor and teacher who has upskilled other engineers or non-technical colleagues, and enjoys building capability in others
- Confident presenting to and facilitating workshops with senior stakeholders
- Collaborative team player who builds strong working relationships across teams
- Bias toward action: builds quickly, ships often and learns through iteration
- High ownership and comfort with ambiguity and shifting priorities
- Sound judgment on when to ship, when to iterate and when to stop
Open Items to Confirm (remove before posting)
- Salary band: $140K to $180K (centered at $160K) is proposed; confirm with Talent Acquisition. Expect strong candidates to land in the upper half given the scope.
- Experience requirement: confirm 5+ years (including 2+ on LLM or agent systems) is right for the Manager level.
- Work arrangement: confirm remote, hybrid, or office-based expectations.
Your journey at A&M
At A&M, professional growth is tied directly to performance, not tenure. Our people take on meaningful, hands-on work supported by a performance development process that rewards contribution and fosters a culture of meritocracy. Stretch roles, evolving business needs, and firm growth create ongoing opportunities for ownership and building new skills, while direct access to senior leaders provides mentorship and real-time coaching along the way. We also prioritize your wellbeing through comprehensive benefits and resources. Together, these elements create an environment where high-performing professionals can continue to grow and advance from day one.
Regular employees working 30 or more hours per week are also entitled to participate in Alvarez & Marsal Holdings' fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez & Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type. Click here for more information regarding A&M's benefits programs.
The salary range is $140,000 - $160,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance. Please ask your recruiter for details.
See All 30 AI Engineer Jobs in Tennessee
Find roles in Tennessee that match your experience and apply in just a few clicks.
Find AI Engineer JobsAI Engineer Jobs by City in Tennessee
Where Tennessee roles are concentrated, by current openings.
AI Engineer Job Market in Tennessee
A snapshot from current Tennessee openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Healthcare & Medical Services
What Tennessee Employers Look For
The qualifications that appear most often in AI engineer jobs across Tennessee.
- Bachelor's or master's degree in computer science, data science, or a closely related field
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch
- Experience designing, training, and deploying machine learning models in production environments
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI workloads
- Strong understanding of data engineering pipelines, feature stores, and model monitoring
- Ability to communicate model performance and limitations to non-technical business stakeholders
AI Engineer Jobs in Tennessee: Frequently Asked Questions
How do you become a ai engineer in Tennessee?
Tennessee does not require a state-issued license to work as an ai engineer. The standard path is a bachelor's degree in computer science, data science, or electrical engineering, followed by hands-on experience with machine learning frameworks and cloud platforms. Many Tennessee employers, particularly in healthcare technology and defense, also value candidates who hold industry certifications in AWS Machine Learning or Google Professional Machine Learning Engineer alongside a strong project portfolio.
Which companies hire ai engineers in Tennessee?
Employers hiring ai engineers in Tennessee right now include SpaceX, Oracle, and Deloitte, based on current listings on Migrate Mate as of November 2026. Tennessee's concentration of large healthcare systems, logistics companies, and federally funded research institutions means ai engineer demand is spread across multiple industry verticals rather than concentrated in a single sector.
Which Tennessee cities have the most ai engineer jobs?
Nashville, Memphis, and Tennessee have the most ai engineer openings in Tennessee. Nashville leads because of its dense cluster of healthcare technology companies and corporate headquarters, Memphis draws demand from logistics and supply chain operations anchored by FedEx, and Knoxville benefits from proximity to Oak Ridge National Laboratory and the University of Tennessee's research partnerships.
Are there remote ai engineer jobs in Tennessee?
Yes, and more than most fields. About 36% of ai engineer openings tied to Tennessee are remote or hybrid as of November 2026, reflecting how naturally the role fits distributed work. Model development, experimentation, and data pipeline work are the parts of the role most commonly performed fully remote, while roles tied to on-site infrastructure or classified government contracts at Oak Ridge typically require in-person presence.
How can I get hired as a ai engineer in Tennessee with little or no experience?
The most realistic entry path is applying for junior data scientist or machine learning associate roles at Tennessee's large healthcare technology firms, where companies like HCA Healthcare and Ciara Health run structured new-graduate programs. Building a public portfolio on GitHub with end-to-end projects, including data ingestion through model deployment, gives candidates a meaningful edge. Adjacent roles in data analytics or data engineering at Tennessee employers are also a common stepping stone into a dedicated ai engineer position.
Where can I find and apply to ai engineer jobs in Tennessee?
You can find and apply to ai engineer jobs in Tennessee on Migrate Mate, which lists current Tennessee openings across Nashville, Memphis, Knoxville, and surrounding areas. Find roles that fit your experience and specialization and apply directly to the employers posting them.
See All 30 AI Engineer Jobs in Tennessee
Find roles in Tennessee that match your experience and apply in just a few clicks.
Find AI Engineer Jobs