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Amazon Fresh Jobs in Tennessee (NOW HIRING)

Stifel

Operations Engineer (Cloud)

Memphis, TN · On-site

What You'll Be Doing The Operations Engineer role is focused on Amazon Web Services (AWS) disaster ... We are a global wealth management and investment banking firm serious about innovation and fresh ...

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Showing results 41-46

All JobsAmazon Fresh JobsAmazon Fresh Jobs in Tennessee

Amazon Fresh information

See Tennessee salary details

$48.6K

$82.7K

$115.3K

How much do amazon fresh jobs pay per year?

As of Sep 4, 2026, the average yearly pay for amazon fresh in Tennessee is $82,681.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,300.00 and $93,000.00 per year, depending on experience, location, and employer.

What is an Amazon Fresh job?

Amazon Fresh jobs refer to a variety of positions within Amazon’s grocery delivery and retail service, Amazon Fresh. Roles can include in-store associates who help stock shelves and assist customers, delivery drivers who transport groceries to customers’ homes, and managerial positions overseeing store operations. These jobs are vital for ensuring a smooth shopping experience both online and in physical Amazon Fresh stores. Employees may work in physical retail locations or in fulfillment centers dedicated to grocery orders. Benefits and requirements can vary depending on the specific role and location.

What skills and qualifications are needed to thrive as an Amazon Fresh associate?

To thrive as an Amazon Fresh Associate, you need strong attention to detail, time management, and a high school diploma or equivalent. Familiarity with handheld inventory scanners, mobile applications, and basic point-of-sale systems is typically required. Excellent customer service, teamwork, and adaptability help associates excel in fast-paced retail environments. These skills are vital for maintaining efficient operations, ensuring product accuracy, and providing a positive customer experience.

What are common challenges faced by Amazon Fresh associates, and how can they be managed?

Amazon Fresh associates often face challenges such as maintaining efficiency during busy hours, managing time effectively while fulfilling multiple orders, and ensuring high standards of accuracy in picking and packing groceries. To manage these, associates benefit from strong organizational skills, open communication with team leads, and familiarity with Amazon's technology and processes. Regular training and teamwork play a key role in overcoming these challenges and ensuring a smooth workflow.

What is the difference between Amazon Fresh vs Amazon Warehouse Associate?

AspectAmazon Fresh
Primary RoleGrocery delivery, stocking, and customer service in grocery stores or delivery
Work EnvironmentGrocery stores, warehouses, delivery vehicles
Required CredentialsHigh school diploma or equivalent, basic customer service skills
Industry UsageRetail grocery sector, Amazon's grocery services

Amazon Fresh roles focus on grocery store operations, delivery, and customer service within Amazon's grocery division. Amazon Warehouse Associates primarily handle warehouse tasks like packing, sorting, and shipping products. While both roles involve physical work and warehouse environments, Amazon Fresh emphasizes grocery-specific tasks and customer interaction, whereas Warehouse Associates focus on order fulfillment in Amazon's fulfillment centers.

How can I work for Amazon Fresh?

To work for Amazon Fresh, you can apply online through Amazon's careers website or job portals. Positions may include roles in stocking, delivery, or customer service, often requiring a high school diploma or equivalent and the ability to work flexible hours. The hiring process typically involves an application, interview, and background check.

What are popular job titles related to Amazon Fresh jobs in Tennessee?

For Amazon Fresh jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Amazon Fresh jobs in Tennessee look for?

The top searched job categories for Amazon Fresh jobs in Tennessee are:

What cities in Tennessee are hiring for Amazon Fresh jobs?

Cities in Tennessee with the most Amazon Fresh job openings:

Amazon Fresh jobs near you
Infographic showing various Amazon Fresh job openings in Tennessee as of August 2026, with employment types broken down into 74% Full Time, 24% Part Time, 1% Contract, and 1% Nights. Highlights an 92% Physical, and 8% Remote job distribution, with an average salary of $82,681 per year, or $39.8 per hour.

Lead Agentic Software Engineer II

Deloitte

Nashville, TN

Full-time

Posted 11 days ago

Key responsibilities

  • Lead the design, implementation, deployment, and support of AI/ML, analytics, automation, and generative AI solutions for client programs

  • Translate business and functional requirements into technical plans, solution components, and production-ready workflows

  • Manage delivery workstreams and guide teams in using Python, SQL, cloud platforms, and modern data tools to solve business problems

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services

Job description

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.

Recruiting for this role ends on 9/11/2026

Work You'll Do

As a Lead Agentic Software Engineer II, you will be responsible for:

  • Lead the design, implementation, deployment, and support of AI/ML, analytics, automation, and generative AI solutions for client programs
  • Translate business and functional requirements into technical plans, solution components, and production-ready workflows
  • Oversee the development of data pipelines, model integration, validation processes, and other scalable technical assets
  • Manage delivery workstreams and guide teams in using Python, SQL, cloud platforms, and modern data tools to solve business problems
  • Define and monitor KPIs related to solution quality, model performance, data health, adoption, and business impact
  • Mentor junior practitioners and partner with client and internal stakeholders to drive execution, communicate progress and risks, and promote responsible, repeatable delivery practices

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 Sales & Service offering designs and implements sales and service experiences, capabilities, and architectures required to bring customer strategies to life.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or a technical field
  • 6+ years of experience architecting, designing, building, testing, and deploying production, operational, or client-facing technology solutions in software engineering, DevOps, site reliability engineering, quality engineering, or software development life cycle (SDLC) delivery roles
  • 6+ years of experience developing applications, services, or automation using one or more programming languages, including Python, JavaScript, or Java
  • 3+ years of experience leading code reviews, reviewing technical deliverables for alignment with documented requirements, and mentoring or providing day-to-day technical guidance to junior engineers
  • 3+ years of experience building, deploying, and supporting cloud-native applications on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • 1+ years of experience architecting, building, deploying, or supporting generative artificial intelligence (AI), large language model (LLM), or agentic application solutions in production, enterprise, or client-facing environments
  • 1+ years of experience implementing LLM orchestration, prompt workflows, tool use or function calling, retrieval-augmented generation (RAG), or multi-agent workflows in application delivery
  • Ability to travel 0-50%, 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

Preferred:

  • Master's degree
  • Government consulting experience
  • 1+ years of experience integrating model platforms or application programming interfaces (APIs), including OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, or Google Vertex AI, into enterprise applications or workflows
  • 1+ years of experience establishing evaluation, testing, monitoring, or guardrail mechanisms for generative AI or agentic systems, including output quality, reliability, latency, or safety controls
  • 1+ years of experience implementing containerization, continuous integration and continuous deployment (CI/CD), infrastructure as code, or deployment automation
  • 1+ years of experience leading delivery in Agile environments, including backlog refinement, sprint planning, sprint execution, and iterative release delivery

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 $128,000 to $252,500. 

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.

Qualifications:

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.

Recruiting for this role ends on 9/11/2026

Work You'll Do

As a Lead Agentic Software Engineer II, you will be responsible for:

  • Lead the design, implementation, deployment, and support of AI/ML, analytics, automation, and generative AI solutions for client programs
  • Translate business and functional requirements into technical plans, solution components, and production-ready workflows
  • Oversee the development of data pipelines, model integration, validation processes, and other scalable technical assets
  • Manage delivery workstreams and guide teams in using Python, SQL, cloud platforms, and modern data tools to solve business problems
  • Define and monitor KPIs related to solution quality, model performance, data health, adoption, and business impact
  • Mentor junior practitioners and partner with client and internal stakeholders to drive execution, communicate progress and risks, and promote responsible, repeatable delivery practices

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 Sales & Service offering designs and implements sales and service experiences, capabilities, and architectures required to bring customer strategies to life.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or a technical field
  • 6+ years of experience architecting, designing, building, testing, and deploying production, operational, or client-facing technology solutions in software engineering, DevOps, site reliability engineering, quality engineering, or software development life cycle (SDLC) delivery roles
  • 6+ years of experience developing applications, services, or automation using one or more programming languages, including Python, JavaScript, or Java
  • 3+ years of experience leading code reviews, reviewing technical deliverables for alignment with documented requirements, and mentoring or providing day-to-day technical guidance to junior engineers
  • 3+ years of experience building, deploying, and supporting cloud-native applications on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • 1+ years of experience architecting, building, deploying, or supporting generative artificial intelligence (AI), large language model (LLM), or agentic application solutions in production, enterprise, or client-facing environments
  • 1+ years of experience implementing LLM orchestration, prompt workflows, tool use or function calling, retrieval-augmented generation (RAG), or multi-agent workflows in application delivery
  • Ability to travel 0-50%, 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

Preferred:

  • Master's degree
  • Government consulting experience
  • 1+ years of experience integrating model platforms or application programming interfaces (APIs), including OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, or Google Vertex AI, into enterprise applications or workflows
  • 1+ years of experience establishing evaluation, testing, monitoring, or guardrail mechanisms for generative AI or agentic systems, including output quality, reliability, latency, or safety controls
  • 1+ years of experience implementing containerization, continuous integration and continuous deployment (CI/CD), infrastructure as code, or deployment automation
  • 1+ years of experience leading delivery in Agile environments, including backlog refinement, sprint planning, sprint execution, and iterative release delivery

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 $128,000 to $252,500. 

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.

Education:Bachelor's DegreeEmployment Type:

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