Contribute independently within an FDE pod while mentoring newer team members. Solution Engineering ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...
Contribute independently within an FDE pod while mentoring newer team members. Solution Engineering ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...
Senior Forward Deployed Engineer - Databricks
$103K - $142K/yr
Contribute independently within an FDE pod while mentoring newer team members. * Coach client teams ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...
Senior Forward Deployed Engineer - Databricks
$103K - $142K/yr
Contribute independently within an FDE pod while mentoring newer team members. * Coach client teams ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...
Senior Forward Deployed Engineer - Snowflake
Lansing, MI · On-site
$106K - $145K/yr
Contribute independently within an FDE pod while mentoring newer team members. * Coach client teams ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...
Senior Forward Deployed Engineer - Snowflake
Lansing, MI · On-site
$106K - $145K/yr
Contribute independently within an FDE pod while mentoring newer team members. * Coach client teams ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...
Contribute independently within an FDE pod while mentoring newer team members. Solution Engineering ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...
Contribute independently within an FDE pod while mentoring newer team members. Solution Engineering ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...
Forward Deployed Engineer, Microsoft AI & Data
$113K - $136K/yr
Contribute independently within an FDE pod while mentoring newer team members. Solution Engineering ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...
Forward Deployed Engineer, Microsoft AI & Data
$113K - $136K/yr
Contribute independently within an FDE pod while mentoring newer team members. Solution Engineering ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...
Senior Forward Deployed Engineer, Microsoft AI&Data
Detroit, MI · On-site
$104K - $142K/yr
Contribute independently within an FDE pod while mentoring newer team members. * Coach client teams ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...
Senior Forward Deployed Engineer, Microsoft AI&Data
Detroit, MI · On-site
$104K - $142K/yr
Contribute independently within an FDE pod while mentoring newer team members. * Coach client teams ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...
Contribute independently within an FDE pod while mentoring newer team members. Solution Engineering ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...
Contribute independently within an FDE pod while mentoring newer team members. Solution Engineering ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...
Contribute independently within an FDE pod while mentoring newer team members. Solution Engineering ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...
Contribute independently within an FDE pod while mentoring newer team members. Solution Engineering ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...
Senior Forward Deployed Engineer - Snowflake
Detroit, MI · On-site
$103K - $142K/yr
Contribute independently within an FDE pod while mentoring newer team members. * Coach client teams ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...
Senior Forward Deployed Engineer - Snowflake
Detroit, MI · On-site
$103K - $142K/yr
Contribute independently within an FDE pod while mentoring newer team members. * Coach client teams ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...
Senior Forward Deployed Engineer, Palantir
$103K - $142K/yr
Contribute independently within an FDE pod while mentoring newer team members. * Coach client teams ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...
Senior Forward Deployed Engineer, Palantir
$103K - $142K/yr
Contribute independently within an FDE pod while mentoring newer team members. * Coach client teams ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...
Senior Forward Deployed Engineer, Frontier GenAI
$103K - $142K/yr
Contribute independently within an FDE pod while mentoring newer team members. * Coach client teams ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...
Senior Forward Deployed Engineer, Frontier GenAI
$103K - $142K/yr
Contribute independently within an FDE pod while mentoring newer team members. * Coach client teams ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...
Contribute independently within an FDE pod while mentoring newer team members. Solution Engineering ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...
Contribute independently within an FDE pod while mentoring newer team members. Solution Engineering ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...
Contribute independently within an FDE pod while mentoring newer team members. Solution Engineering ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...
Contribute independently within an FDE pod while mentoring newer team members. Solution Engineering ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...
Practice Performance Advisor
Southfield, MI · On-site +1
The Performance Practice Advisor supports the Provider Network Management (PNM) team within a POD-based staffing care model, focusing on provider performance, value-based care (VBC) initiatives, and ...
Practice Performance Advisor
Southfield, MI · On-site +1
The Performance Practice Advisor supports the Provider Network Management (PNM) team within a POD-based staffing care model, focusing on provider performance, value-based care (VBC) initiatives, and ...
Provider Practice Performance Advisor
Southfield, MI · On-site +1
The Performance Practice Advisor supports the Provider Network Management (PNM) team within a POD-based staffing care model, focusing on provider performance, value-based care (VBC) initiatives, and ...
Provider Practice Performance Advisor
Southfield, MI · On-site +1
The Performance Practice Advisor supports the Provider Network Management (PNM) team within a POD-based staffing care model, focusing on provider performance, value-based care (VBC) initiatives, and ...
The Performance Practice Advisor supports the Provider Network Management (PNM) team within a POD-based staffing care model, focusing on provider performance, value-based care (VBC) initiatives, and ...
The Performance Practice Advisor supports the Provider Network Management (PNM) team within a POD-based staffing care model, focusing on provider performance, value-based care (VBC) initiatives, and ...
Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod Management) * Experience with DevOps, CI/CD, Deployment Orchestration (Octopus Deploy) * Experience with Git and Azure ...
Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod Management) * Experience with DevOps, CI/CD, Deployment Orchestration (Octopus Deploy) * Experience with Git and Azure ...
Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod Management) * Experience with DevOps, CI/CD, Deployment Orchestration (Octopus Deploy) * Experience with Git and Azure ...
Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod Management) * Experience with DevOps, CI/CD, Deployment Orchestration (Octopus Deploy) * Experience with Git and Azure ...
Full-Stack Data Engineer
Troy, MI · On-site
Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod Management) * Experience with DevOps, CI/CD, Deployment Orchestration (Octopus Deploy) * Experience with Git and Azure ...
Full-Stack Data Engineer
Troy, MI · On-site
Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod Management) * Experience with DevOps, CI/CD, Deployment Orchestration (Octopus Deploy) * Experience with Git and Azure ...
Full-Stack Data Engineer
Troy, MI · On-site
Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod Management) * Experience with DevOps, CI/CD, Deployment Orchestration (Octopus Deploy) * Experience with Git and Azure ...
Full-Stack Data Engineer
Troy, MI · On-site
Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod Management) * Experience with DevOps, CI/CD, Deployment Orchestration (Octopus Deploy) * Experience with Git and Azure ...
Pod Network information
See Michigan salary details
$12.99 - $14.89
2% of jobs
$14.89 - $16.80
8% of jobs
$16.80 - $18.70
9% of jobs
$19.57 is the 25th percentile. Wages below this are outliers.
$18.70 - $20.61
11% of jobs
The median wage is $22.10 / hr.
$20.61 - $22.51
24% of jobs
$22.51 - $24.42
19% of jobs
$24.66 is the 75th percentile. Wages above this are outliers.
$24.42 - $26.32
8% of jobs
$26.32 - $28.23
6% of jobs
$28.23 - $30.13
4% of jobs
$30.13 - $32.04
4% of jobs
$32.04 - $33.94
3% of jobs
$12
$23
$33
How much do pod network jobs pay per hour?
What are Pod Networks?
What kind of jobs can you get with an EDD?
What are different jobs in education?
What are the key skills and qualifications needed to thrive as a Network Engineer, and why are they important?
What is the difference between Pod Network vs Network Engineer?
| Aspect | Pod Network | Network Engineer |
|---|---|---|
| Credentials | Certifications like CCNA, CompTIA Network+ | Certifications like CCNA, CCNP, CompTIA Network+ |
| Work Environment | Containerized environments, cloud platforms, Kubernetes | Corporate networks, data centers, enterprise infrastructure |
| Industry Usage | DevOps, cloud computing, container orchestration | IT infrastructure, telecommunications, enterprise networking |
Pod Network professionals focus on networking within containerized and cloud environments, often working with Kubernetes and cloud platforms. Network Engineers design, implement, and maintain traditional and enterprise networks. While both roles require networking certifications, Pod Network specialists are more involved with cloud-native and containerized environments, whereas Network Engineers work across broader physical and virtual networks in various industries.
What are some of the typical challenges faced by professionals managing Pod Networks in a cloud-native environment?
What does pod network stand for?

Deloitte rating
8.1
Based on 86 frontline employees who took The Breakroom Quiz
58th of 138 rated financial services
Job description
At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.
Recruiting for this role ends on 10/12/2026.
Work you'll do
As a Snowflake 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.
The team
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Required qualifications
- Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
- 3+ 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 Snowflake including hands-on experience with one of the following key platforms; Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed
- 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
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
Preferred qualifications
- 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
- 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 $113,100 to $208,300.
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.
At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.
Recruiting for this role ends on 10/12/2026.
Work you'll do
As a Snowflake 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.
The team
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Required qualifications
- Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
- 3+ 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 Snowflake including hands-on experience with one of the following key platforms; Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed
- 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
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
Preferred qualifications
- 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
- 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 $113,100 to $208,300.
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.