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Iam Associate Jobs in Raleigh, NC (NOW HIRING)

Deloitte

Lead Forward Deployed Engineer - AWS

Raleigh, NC · On-site

$99K - $131K/yr

AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ... IAM, networking) * Demonstrated ability to work directly alongside client technical teams and ...

Elevance Health

Distinguished Engineer

Durham, NC · On-site

$243K - $364K/yr

This role requires associates to be in-office 1-2 days per week, fostering collaboration and ... Deep knowledge of cloud infrastructure, identity and access management (IAM), encryption, network ...

Elevance Health

Distinguished Engineer

Durham, NC · On-site

$243K - $364K/yr

This role requires associates to be in-office 1-2 days per week, fostering collaboration and ... Deep knowledge of cloud infrastructure, identity and access management (IAM), encryption, network ...

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Iam Associate information

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How much do iam associate jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for iam associate in Raleigh, NC is $18.48, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $19.62 per hour, depending on experience, location, and employer.

What is an IAM associate?

IAM Associates, or Identity and Access Management Associates, are professionals who support the implementation, maintenance, and monitoring of identity and access management systems within an organization. Their main responsibilities include managing user access rights, ensuring security policies are enforced, and assisting with user provisioning and de-provisioning. IAM Associates work closely with IT and security teams to protect sensitive information and ensure that only authorized individuals have access to specific systems or data. They also help troubleshoot access issues and participate in audits to maintain compliance with organizational and regulatory standards.

How does an IAM associate typically collaborate with other IT and security teams within an organization?

As an IAM Associate, you will regularly work alongside IT, cybersecurity, and compliance teams to manage user access and maintain secure authentication processes. Collaboration often involves coordinating on access requests, troubleshooting authentication issues, and participating in audits or security reviews. This role requires strong communication skills and the ability to interpret and implement security policies in collaboration with other departments. Effective teamwork ensures that identity and access management aligns with overall organizational security goals.

What are the key skills and qualifications needed to thrive as an IAM associate, and why are they important?

To thrive as an IAM Associate, you need a solid understanding of identity and access management principles, cybersecurity fundamentals, and typically a bachelor's degree in computer science or a related field. Familiarity with IAM tools such as Okta, Microsoft Azure AD, or SailPoint, as well as relevant certifications like CompTIA Security+ or Certified Identity and Access Manager (CIAM), is highly beneficial. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for this role. These competencies ensure secure and efficient access control, protecting organizational data and supporting regulatory compliance.

What is the difference between Iam Associate vs Iam Analyst?

AspectIam AssociateIam Analyst
Required CredentialsTypically a bachelor's degree in IT, cybersecurity, or related fieldsSame as Iam Associate, often with additional certifications like CompTIA Security+
Work EnvironmentEntry-level, supporting identity and access management tasksMore analytical, focusing on security assessments and policy implementation
Employer & Industry UsageCommon in IT departments across various industriesUsed in cybersecurity teams, often with more specialized roles

The main difference between an Iam Associate and an Iam Analyst lies in their focus and responsibilities. Iam Associates typically handle foundational identity management tasks, while Iam Analysts perform more in-depth security analysis and policy development. Both roles require similar credentials, but Analysts usually have more experience or certifications.

Is Iam associate an entry level job?

An Iam Associate role is typically considered an entry-level position, often requiring minimal prior experience and focusing on foundational skills in identity and access management. It is suitable for individuals starting their careers in cybersecurity or IT, and may involve training on tools and protocols used in the field.

What are the most commonly searched types of Iam jobs in Raleigh, NC?

The most popular types of Iam jobs in Raleigh, NC are:

What are popular job titles related to Iam Associate jobs in Raleigh, NC?

For Iam Associate jobs in Raleigh, NC, the most frequently searched job titles are:

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The top searched job categories for Iam Associate jobs in Raleigh, NC are:

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Cities near Raleigh, NC with the most Iam Associate job openings:

Infographic showing various Iam Associate job openings in Raleigh, NC as of September 2026, with employment types broken down into 100% Full Time. Highlights an 25% In-person, 50% Hybrid, and 25% Remote job distribution, with an average salary of $38,445 per year, or $18.5 per hour.

Lead Forward Deployed Engineer - AWS

Raleigh, NC • On-site

Deloitte
Finance and Insurance • 10K+ employees
Learn more about Deloitteexternal

$99K - $131K/yr

Full-time

Re-posted 27 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 94 frontline employees who took The Breakroom Quiz

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.

Work you'll do

As an AWS AI&Data 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.
  • 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 AWS AI&Data including hands on experience with one of the following key platforms/products: Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails
  • 1+ years of experience with AWS Neptune and OpenSearch
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • At least 3 of 6 certifications from the following list: AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate)
  • 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 with SageMaker fine-tuning (SFT and RFT) for domain SLMs
  • 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 $189,200 to $372,900.

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:

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.

Work you'll do

As an AWS AI&Data 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.
  • 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 AWS AI&Data including hands on experience with one of the following key platforms/products: Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails
  • 1+ years of experience with AWS Neptune and OpenSearch
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • At least 3 of 6 certifications from the following list: AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate)
  • 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 with SageMaker fine-tuning (SFT and RFT) for domain SLMs
  • 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 $189,200 to $372,900.

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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