Remote Engineering Director Jobs
Remote Engineering Director jobs are in active demand across the U.S., with remote-first firms and distributed engineering teams hiring for this role in software, fintech, healthcare technology, and enterprise SaaS. Employers hiring remotely right now include CVS Health, Articore, and GBG. See the openings below and apply to the ones that match your experience.
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Showing 5 of 205+ Remote Engineering Director jobs
Collaboration
Digital Transformation Initiatives
Innovation
Performance Driven
Sustainability
REQ#: RQ229022
Public Trust: None
Requisition Type: Regular
Your Impact
Own your opportunity to support the missions that matter. From working with technologies like AI, cyber and cloud to careers in intelligence and health, we offer endless opportunities to apply your expertise to create a safer, smarter world while building new skills to propel your career forward.
Job Description
GDIT is seeking a Director-level AI/ML Engineer to support CCaaS & AI digital transformation initiatives across federal and public sector environments. This role combines hands-on architecture, POC development, and presales engagement. Candidates must be able to prototype solutions, lead discovery sessions, present architectures to executives and develop AI capabilities end-to-end.
This role is focused on modernizing citizen and employee engagement through strategic adoption of AI, automation, analytics, and workflow optimization. This position has strategic advisory and architectural responsibilities and benefits from a strong understanding of operational delivery models.
Successful candidates bring deep experience from previously leading advanced analytics, AI/ML, modeling, simulation, optimization and/or decision intelligence capabilities to advise clients on modernization strategies and technology roadmaps.
Key Responsibilities
- Assess current-state service desk and contact center environments, including people, process, technology, and operating & costing models
- Design future-state support models emphasizing AI, automation, self-service, and workflow orchestration
- Develop modernization roadmaps aligned to federal mission requirements, user experience goals, and operational efficiency objectives
- Analyze client data to create value-based proposals demonstrating return on investment and measurable cost savings
- Advise clients on reducing manual effort and repetitive support activities through intelligent automation and AI-driven solutions
- Brief internal and customer stakeholders on the technologies and methodologies described in the required qualifications
- Support capture and business development efforts such as responding to proposals, request for information and whitepapers
- Support transformation initiatives involving ITSM, customer experience, omnichannel support, and enterprise service Management
- Facilitate workshops, stakeholder interviews, and operational assessments
- Convert operational pain points into scalable technical and process solutions
- Produce architectural documentation, transformation strategies, business cases, and executive-level briefings
- Collaborate with delivery teams, engineers, and client stakeholders to align solutions with mission outcomes and compliance requirements
- Evaluate, recommend and implement technologies including:
- Conversational AI/chatbots
- Virtual agents
- Intelligent routing
- Knowledge-Centered Service (KCS)
- Robotic Process/Agentic Automation (RPA)
- Workflow automation platforms
- Agent Assist capabilities
- Predictive analytics and reporting
What Success Looks Like
- Reduced dependence on labor-intensive support models
- Increased automation and self-service adoption
- Improved customer and employee experience
- Faster resolution times and operational efficiency gains
- Measurable cost optimization through AI-enabled transformation
- Sustainable modernization strategies aligned to mission objectives
- Demonstrated portfolio growth based on successful sales activities
Required Qualifications
- Education: Bachelor’s Degree in Information Technology (or equivalent experience)
- Experience: 5+ years of related experience required; 15+ years of related experience preferred, including 8+ years of experience in artificial intelligence, machine learning, intelligent workflow automation, or a related technical field
- Security Clearance Level: Must be able to obtain and maintain a Top Secret security clearance
- US Citizenship Required
- Location: Remote
- Experience delivering modern AI methods to real-world problems in complex technical environments across Government or Commercial industries (Federal, State & Local, retail, financial services, insurance, healthcare, telecom, technology etc.)
- Experience designing or implementing AI and automation solutions within support organizations
- Ability to assess and redesign support operating models for efficiency and scalability
- Strong executive communication and client-facing consulting skills
- Demonstrated experience owning/supporting a portfolio of work to include delivering to a cost model or owning P&L
- Familiarity with Agentic and Gen AI-enabled support capabilities and copilots
- Experience developing business cases or ROI/Cost models for automation initiatives
- Hands-on experience with AI/ML competencies such as:
- Virtual Agents
- LLM orchestration
- Agentic AI patterns
- Safety, compliance and guardrails
- Conversational design
- AI evaluation frameworks
- Prompt engineering and context engineering
GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
- Growth: AI-powered career tool that identifies career steps and learning opportunities
OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.
#GDITLA
Work Requirements
5 + years of related experience
- may vary based on technical training, certification(s), or degree
10-25%
U.S. Citizenship Required
Salary and Benefit Information
The likely salary range for this position is $170,144 - $230,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Our Identity Verification Process
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.
About Our Work
We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.
Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
Collaboration
Digital Transformation Initiatives
Innovation
Performance Driven
Sustainability
REQ#: RQ229022
Public Trust: None
Requisition Type: Regular
Your Impact
Own your opportunity to support the missions that matter. From working with technologies like AI, cyber and cloud to careers in intelligence and health, we offer endless opportunities to apply your expertise to create a safer, smarter world while building new skills to propel your career forward.
Job Description
GDIT is seeking a Director-level AI/ML Engineer to support CCaaS & AI digital transformation initiatives across federal and public sector environments. This role combines hands-on architecture, POC development, and presales engagement. Candidates must be able to prototype solutions, lead discovery sessions, present architectures to executives and develop AI capabilities end-to-end.
This role is focused on modernizing citizen and employee engagement through strategic adoption of AI, automation, analytics, and workflow optimization. This position has strategic advisory and architectural responsibilities and benefits from a strong understanding of operational delivery models.
Successful candidates bring deep experience from previously leading advanced analytics, AI/ML, modeling, simulation, optimization and/or decision intelligence capabilities to advise clients on modernization strategies and technology roadmaps.
Key Responsibilities
- Assess current-state service desk and contact center environments, including people, process, technology, and operating & costing models
- Design future-state support models emphasizing AI, automation, self-service, and workflow orchestration
- Develop modernization roadmaps aligned to federal mission requirements, user experience goals, and operational efficiency objectives
- Analyze client data to create value-based proposals demonstrating return on investment and measurable cost savings
- Advise clients on reducing manual effort and repetitive support activities through intelligent automation and AI-driven solutions
- Brief internal and customer stakeholders on the technologies and methodologies described in the required qualifications
- Support capture and business development efforts such as responding to proposals, request for information and whitepapers
- Support transformation initiatives involving ITSM, customer experience, omnichannel support, and enterprise service Management
- Facilitate workshops, stakeholder interviews, and operational assessments
- Convert operational pain points into scalable technical and process solutions
- Produce architectural documentation, transformation strategies, business cases, and executive-level briefings
- Collaborate with delivery teams, engineers, and client stakeholders to align solutions with mission outcomes and compliance requirements
- Evaluate, recommend and implement technologies including:
- Conversational AI/chatbots
- Virtual agents
- Intelligent routing
- Knowledge-Centered Service (KCS)
- Robotic Process/Agentic Automation (RPA)
- Workflow automation platforms
- Agent Assist capabilities
- Predictive analytics and reporting
What Success Looks Like
- Reduced dependence on labor-intensive support models
- Increased automation and self-service adoption
- Improved customer and employee experience
- Faster resolution times and operational efficiency gains
- Measurable cost optimization through AI-enabled transformation
- Sustainable modernization strategies aligned to mission objectives
- Demonstrated portfolio growth based on successful sales activities
Required Qualifications
- Education: Bachelor’s Degree in Information Technology (or equivalent experience)
- Experience: 5+ years of related experience required; 15+ years of related experience preferred, including 8+ years of experience in artificial intelligence, machine learning, intelligent workflow automation, or a related technical field
- Security Clearance Level: Must be able to obtain and maintain a Top Secret security clearance
- US Citizenship Required
- Location: Remote
- Experience delivering modern AI methods to real-world problems in complex technical environments across Government or Commercial industries (Federal, State & Local, retail, financial services, insurance, healthcare, telecom, technology etc.)
- Experience designing or implementing AI and automation solutions within support organizations
- Ability to assess and redesign support operating models for efficiency and scalability
- Strong executive communication and client-facing consulting skills
- Demonstrated experience owning/supporting a portfolio of work to include delivering to a cost model or owning P&L
- Familiarity with Agentic and Gen AI-enabled support capabilities and copilots
- Experience developing business cases or ROI/Cost models for automation initiatives
- Hands-on experience with AI/ML competencies such as:
- Virtual Agents
- LLM orchestration
- Agentic AI patterns
- Safety, compliance and guardrails
- Conversational design
- AI evaluation frameworks
- Prompt engineering and context engineering
GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
- Growth: AI-powered career tool that identifies career steps and learning opportunities
OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.
#GDITLA
Work Requirements
5 + years of related experience
- may vary based on technical training, certification(s), or degree
10-25%
U.S. Citizenship Required
Salary and Benefit Information
The likely salary range for this position is $170,144 - $230,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Our Identity Verification Process
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.
About Our Work
We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.
Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
See All 205+ Remote Engineering Director Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Engineering Director Job Market
Who's Hiring
- CVS Health48
- Articore8A
- GBG4
- BlackRock4
- Optum3
Top Industries Hiring
- Insurance20
- Technology & Software6
- Retail2
- Electronics & Hardware2
- Manufacturing1
What Employers Look For
The qualifications that appear most often in remote engineering director jobs.
- 10 or more years of software engineering experience with at least 5 in people management
- Proven ability to lead and develop multiple engineering teams or managers of managers
- Experience owning end-to-end delivery of large-scale technical systems or platforms
- Strong cross-functional collaboration with product, design, and executive stakeholders
- Bachelor's or master's degree in computer science, engineering, or a related technical field
- Familiarity with agile delivery frameworks and engineering operational metrics such as DORA
Tips for Your Remote Engineering Director Job Search
Signal your remote leadership experience upfront
Remote employers scan for evidence that you've led distributed engineering teams before. Call out async practices, the time zones your teams covered, and the tools you used to keep delivery on track, like Notion, Linear, or Confluence, in your summary and role descriptions.
Apply early to remote roles that fit
Migrate Mate lists remote engineering director openings from companies across the U.S. in one place, so you can find roles that match your background and apply directly without sorting through mixed listings.
Prepare for async-first interview processes
Many remote-first companies run parts of their engineering director interviews through written take-homes, Loom video responses, or async technical assessments. Practice articulating your engineering philosophy and team decisions clearly in writing, not just in conversation.
Build a public record of technical leadership
Remote hiring teams can't meet you in a hallway. A public GitHub presence, engineering blog posts, or conference talks on distributed systems and team scaling give remote employers concrete evidence of how you think and communicate before the first call.
Remote Engineering Director Jobs: Frequently Asked Questions
How do I get a remote engineering director job?
Target remote-first companies and distributed-team organizations, since they have built the infrastructure for engineering leaders to operate without a physical office. Remote employers screen for strong async written communication, the ability to run engineering teams across time zones without constant meetings, and demonstrated self-direction. Candidates who highlight distributed team leadership, documentation habits, and remote incident response in their work history stand out.
Which companies hire remote engineering directors?
Remote engineering director roles are posted by CVS Health, Articore, and GBG and others right now, based on current remote listings on Migrate Mate as of September 2026. Remote-first software companies, distributed SaaS teams, and technology-driven firms in fintech and healthcare consistently post engineering director openings that are fully remote.
Can you get a remote engineering director job with no experience?
Yes, but it's harder, because remote engineering director roles require you to lead teams and make technical decisions independently from day one without in-person support. Smaller remote-first startups and early-stage companies are more likely to hire candidates who show strong individual contributor results, clear technical writing, and a history of owning projects end-to-end, even without a formal director title.
Do you need a degree for remote engineering director jobs?
Not always. Remote employers for engineering director roles weigh demonstrated engineering leadership, a portfolio of shipped products or scaled systems, and the ability to manage distributed teams far more heavily than a specific degree. Many remote-first companies have dropped degree requirements in favor of practical assessments, technical interviews, and evidence of real engineering impact.
Which industries hire the most remote engineering directors?
Remote engineering director roles concentrate in Insurance, Technology & Software, and Retail, based on current remote listings on Migrate Mate as of September 2026. These sectors hire engineering directors remotely because their products are digital, their teams are already distributed globally, and the role translates naturally to async, tool-driven coordination.
See All 205+ Remote Engineering Director Jobs
Find roles that match your experience and apply in just a few clicks.
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