Remote Forward Deployed AI Scientist Jobs
Remote Forward Deployed AI Scientist jobs are open across the U.S. in sectors including enterprise software, defense technology, and applied AI research, at remote-first companies and distributed product teams ranging from early-stage startups to growth-stage AI firms. Employers hiring remotely right now include Humana, Eliza, and NewRocket. Find a role that fits below and apply directly.
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EPAM is hiring a Security Forward Deployed Engineer (FDE) to embed with our client and help joint clients turn security requirements into working, production-grade solutions on AWS. A Security FDE owns security outcomes end-to-end: from the first customer conversation to a deployed, handed-over solution.
Responsibilities
- Embed with customer engineering and security teams, understand their threat landscape and constraints, and translate them into a delivery plan
- Design and build secure AWS architectures: landing zones, identity and access (IAM, IAM Identity Center, SCPs), network segmentation, encryption and key management (KMS), secrets and data protection
- Implement preventive and detective controls as code (Terraform, CloudFormation or CDK), including guardrails, policy-as-code and CI/CD security gates
- Build detection and response capabilities using GuardDuty, Security Hub, Inspector, Detective, CloudTrail, Config and a customer SIEM; automate response with Lambda, EventBridge and Step Functions
- Secure generative AI and agentic workloads, for example on Amazon Bedrock: threat modeling, prompt-injection and data-leakage defenses, guardrails, model and agent access control, and LLM supply-chain risk
- Apply AI to security operations: triage and enrichment automation, alert summarization, and cloud posture analysis with measurable analyst time savings
- Run threat modeling, architecture reviews, and compliance mapping (for example, NIST CSF, ISO 27001, SOC 2, PCI DSS, DORA, NIS2) to the customer's regulatory framework
- Prototype quickly, then harden: move working solutions to production with tests, documentation, and runbooks
- Transfer knowledge through pairing, workshops, and playbooks so customer teams can run what is built
- Feed field learnings back to EPAM and AWS: reusable accelerators, reference architectures, and product feedback
- Work with the AWS account team and partner stakeholders on scoping, delivery reviews, and customer success stories
Requirements
- Any active AWS Associate, Professional, or Specialty certification (e.g., AWS Certified Security – Specialty; AWS Solutions Architect – Associate/Professional or DevOps Engineer – Professional)7+ years in security engineering, security architecture, or cloud security, with at least 4 years designing and building on AWS
- Proven delivery in customer-facing or consulting roles: scoping, presenting to technical and executive audiences, and delivering under ambiguity
- Deep working knowledge of AWS security services and patterns: IAM, Organizations and SCPs, KMS, VPC security, GuardDuty, Security Hub, CloudTrail, Config, WAF
- Experience with Amazon Bedrock, SageMaker, or agent frameworks, including red-teaming or evaluating AI systems
- Strong coding skills in Python (or Go/TypeScript) and infrastructure as code (Terraform, CloudFormation, or CDK) Experience with detection engineering and incident response in cloud environments
- Working knowledge of container and Kubernetes security (EKS) and CI/CD pipeline security
- Practical understanding of AI and LLM security risks (for example, the OWASP Top 10 for LLM Applications) and experience building with, or securing, GenAI services
- Familiarity with security frameworks and regulations: NIST, ISO 27001, SOC 2, and one or more of PCI DSS, GDPR, DORA, NIS2 Excellent written and spoken English; comfortable running workshops and writing clear technical documentation
- Willingness to travel and to work at customer sites as engagements require
Nice to have
- AWS Certified Generative AI Developer - Professional certification
- Security certifications such as CISSP, CISM, CCSP, or OSCP AI certifications such as Claude Certified Architect or OpenAI Technical Practitioner
- Experience with agentic vulnerability discovery, verification, and remediation tools, such as AWS Continuum and the open-source Visa Vulnerability Agentic Harness (VVAH), including running them safely on customer code and integrating them into CI/CD and developer workflows
We offer
- Medical, Dental and Vision Insurance (Subsidized)
- Health Savings Account
- Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
- Short-Term and Long-Term Disability (Company Provided)
- Life and AD&D Insurance (Company Provided)
- Employee Assistance Program
- Unlimited access to LinkedIn learning solutions
- Matched 401(k) Retirement Savings Plan
- Paid Time Off – the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)
- Paid Holidays - nine (9) total per year
- Legal Plan and Identity Theft Protection
- Accident Insurance
- Employee Discounts
- Pet Insurance
- Employee Stock Purchase Program
- If otherwise eligible, participation in the discretionary annual bonus program
- If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program
This Remote Position Cannot be Performed in New York City.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
Engineer the Future with a Career at EPAM
This posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training; the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $155,000 - $180,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.
Applications will be accepted on a rolling basis.
In accordance with the LA County Fair Chance Ordinance, you may find a copy of the Notice containing a summary of the Ordinance’s key provisions here: Concept FCO Posting 8 27 24 (lacounty.gov)
EPAM will not provide new H-1B visa sponsorship for this position. Candidates with existing transferable H-1B status may be considered.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
EPAM is hiring a Security Forward Deployed Engineer (FDE) to embed with our client and help joint clients turn security requirements into working, production-grade solutions on AWS. A Security FDE owns security outcomes end-to-end: from the first customer conversation to a deployed, handed-over solution.
Responsibilities
- Embed with customer engineering and security teams, understand their threat landscape and constraints, and translate them into a delivery plan
- Design and build secure AWS architectures: landing zones, identity and access (IAM, IAM Identity Center, SCPs), network segmentation, encryption and key management (KMS), secrets and data protection
- Implement preventive and detective controls as code (Terraform, CloudFormation or CDK), including guardrails, policy-as-code and CI/CD security gates
- Build detection and response capabilities using GuardDuty, Security Hub, Inspector, Detective, CloudTrail, Config and a customer SIEM; automate response with Lambda, EventBridge and Step Functions
- Secure generative AI and agentic workloads, for example on Amazon Bedrock: threat modeling, prompt-injection and data-leakage defenses, guardrails, model and agent access control, and LLM supply-chain risk
- Apply AI to security operations: triage and enrichment automation, alert summarization, and cloud posture analysis with measurable analyst time savings
- Run threat modeling, architecture reviews, and compliance mapping (for example, NIST CSF, ISO 27001, SOC 2, PCI DSS, DORA, NIS2) to the customer's regulatory framework
- Prototype quickly, then harden: move working solutions to production with tests, documentation, and runbooks
- Transfer knowledge through pairing, workshops, and playbooks so customer teams can run what is built
- Feed field learnings back to EPAM and AWS: reusable accelerators, reference architectures, and product feedback
- Work with the AWS account team and partner stakeholders on scoping, delivery reviews, and customer success stories
Requirements
- Any active AWS Associate, Professional, or Specialty certification (e.g., AWS Certified Security – Specialty; AWS Solutions Architect – Associate/Professional or DevOps Engineer – Professional)7+ years in security engineering, security architecture, or cloud security, with at least 4 years designing and building on AWS
- Proven delivery in customer-facing or consulting roles: scoping, presenting to technical and executive audiences, and delivering under ambiguity
- Deep working knowledge of AWS security services and patterns: IAM, Organizations and SCPs, KMS, VPC security, GuardDuty, Security Hub, CloudTrail, Config, WAF
- Experience with Amazon Bedrock, SageMaker, or agent frameworks, including red-teaming or evaluating AI systems
- Strong coding skills in Python (or Go/TypeScript) and infrastructure as code (Terraform, CloudFormation, or CDK) Experience with detection engineering and incident response in cloud environments
- Working knowledge of container and Kubernetes security (EKS) and CI/CD pipeline security
- Practical understanding of AI and LLM security risks (for example, the OWASP Top 10 for LLM Applications) and experience building with, or securing, GenAI services
- Familiarity with security frameworks and regulations: NIST, ISO 27001, SOC 2, and one or more of PCI DSS, GDPR, DORA, NIS2 Excellent written and spoken English; comfortable running workshops and writing clear technical documentation
- Willingness to travel and to work at customer sites as engagements require
Nice to have
- AWS Certified Generative AI Developer - Professional certification
- Security certifications such as CISSP, CISM, CCSP, or OSCP AI certifications such as Claude Certified Architect or OpenAI Technical Practitioner
- Experience with agentic vulnerability discovery, verification, and remediation tools, such as AWS Continuum and the open-source Visa Vulnerability Agentic Harness (VVAH), including running them safely on customer code and integrating them into CI/CD and developer workflows
We offer
- Medical, Dental and Vision Insurance (Subsidized)
- Health Savings Account
- Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
- Short-Term and Long-Term Disability (Company Provided)
- Life and AD&D Insurance (Company Provided)
- Employee Assistance Program
- Unlimited access to LinkedIn learning solutions
- Matched 401(k) Retirement Savings Plan
- Paid Time Off – the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)
- Paid Holidays - nine (9) total per year
- Legal Plan and Identity Theft Protection
- Accident Insurance
- Employee Discounts
- Pet Insurance
- Employee Stock Purchase Program
- If otherwise eligible, participation in the discretionary annual bonus program
- If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program
This Remote Position Cannot be Performed in New York City.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
Engineer the Future with a Career at EPAM
This posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training; the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $155,000 - $180,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.
Applications will be accepted on a rolling basis.
In accordance with the LA County Fair Chance Ordinance, you may find a copy of the Notice containing a summary of the Ordinance’s key provisions here: Concept FCO Posting 8 27 24 (lacounty.gov)
EPAM will not provide new H-1B visa sponsorship for this position. Candidates with existing transferable H-1B status may be considered.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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Find JobsRemote Forward Deployed AI Scientist Job Market
Who's Hiring
- Humana11
- Eliza5E
- NewRocket5
- micro14
- TribalScale4
Top Industries Hiring
- Technology & Software14
- Consulting & Professional Services3
- Telecommunications2
- Artificial Intelligence1
- Banking & Financial Services1
What Employers Look For
The qualifications that appear most often in remote forward deployed AI scientist jobs.
- Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow
- Hands-on experience deploying and maintaining machine learning models in production environments
- Ability to work directly with enterprise customers to scope, implement, and iterate on AI solutions
- Experience with cloud platforms such as AWS, Azure, or Google Cloud for model serving and monitoring
- Strong communication skills to explain model behavior and trade-offs to non-technical stakeholders
- Bachelor's or master's degree in computer science, machine learning, mathematics, or a related field
Tips for Your Remote Forward Deployed AI Scientist Job Search
Apply early to remote roles that fit
Migrate Mate lists remote forward deployed ai scientist openings from across the U.S. in one place, so you can find roles that match your background and apply directly without sorting through listings that aren't actually remote.
Show async problem-solving in your portfolio
Remote employers screen for candidates who can scope and communicate technical solutions without in-person context. Document a past deployment with a written problem statement, your approach, and the customer outcome, formatted as a concise case study you can share asynchronously during the hiring process.
Signal remote readiness in your application materials
Explicitly name the remote collaboration tools you've used, such as Notion, Loom, or Slack, alongside your technical stack. Remote forward deployed ai scientist teams want to see that you can deliver structured written updates and customer-facing documentation without being prompted.
Target remote-first AI product companies directly
Companies built as remote-first from the start hire forward deployed ai scientists who can work autonomously with distributed customer teams. Look for companies whose engineering and customer success orgs are publicly described as fully distributed, since those teams have already built the infrastructure for remote deployment work.
Remote Forward Deployed AI Scientist Jobs: Frequently Asked Questions
How do I get a remote forward deployed ai scientist job?
Remote forward deployed ai scientist roles go to candidates who can demonstrate autonomous technical judgment and clear written communication from day one, because you won't have a manager walking the floor. Remote-first AI companies and distributed enterprise software teams screen heavily for async collaboration skills, hands-on deployment experience with large language models or ML systems in production, and the ability to scope customer problems without in-person guidance. A portfolio of deployed solutions and strong writing samples give you a concrete edge over candidates who can only show coursework.
Which companies hire remote forward deployed ai scientists?
Employers currently hiring remote forward deployed ai scientists include Humana, Eliza, and NewRocket, per current remote listings on Migrate Mate as of November 2026. These tend to be remote-first AI product companies, defense-tech contractors, and enterprise software firms with distributed customer success and solutions engineering teams.
Can you get a remote forward deployed ai scientist job with no experience?
Yes, but remote entry-level forward deployed ai scientist roles are harder to land because employers expect you to operate independently with customers from the start. Early-career candidates have the best shot at remote-first startups building new AI products, where teams are small and hands-on contributors are valued. Showing a self-directed project where you deployed and validated an AI system for a real use case, even outside of paid work, opens more doors than a degree alone.
Do you need a degree for remote forward deployed ai scientist jobs?
Not always. Remote employers in this role care more about demonstrated ability to scope, deploy, and explain AI systems to non-technical stakeholders than about a specific credential. A strong portfolio of real-world deployments, documented customer outcomes, and evidence of technical depth in areas like retrieval-augmented generation or fine-tuning can substitute for a formal degree at many remote-first companies, particularly at the growth-stage level.
Which industries hire the most remote forward deployed ai scientists?
The sectors hiring the most remote forward deployed ai scientists are Technology & Software, Consulting & Professional Services, and Telecommunications, based on current remote listings on Migrate Mate as of November 2026. These industries rely on distributed teams that deliver AI solutions directly to enterprise customers, making remote forward deployed work a natural operational fit.
See All 165+ Remote Forward Deployed AI Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
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