H-1B Visa Technical Delivery Manager Jobs
Technical Delivery Manager jobs with H-1B visa sponsorship sit at the intersection of project leadership and technical depth, making them strong specialty occupation candidates. Sponsoring employers file a Labor Condition Application and I-129 petition on your behalf, with H-1B status granted for up to three years and extendable to six.
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Get Access To All JobsTitle: AI Technical Delivery Manager (AI Governance)
Location: Bellevue, WA (Onsite - 4 days a week)
The AI Technical Delivery Manager will lead strategic enterprise initiatives across AI Governance, Responsible AI, Cybersecurity, Data Security, Agentic AI, and Forward Deployed Engineering. This highly technical, execution-focused leader will partner with clients, architects, AI engineers, data scientists, product teams, and business stakeholders to turn complex challenges into scalable, secure, production-ready solutions.
This role is ideal for a hands-on delivery leader who can assess client environments quickly, shape AI and cybersecurity strategies, mobilize cross-functional teams, govern risk, and drive enterprise-scale execution with urgency, precision, accountability, and measurable business impact.
Responsibilities
- Serve as the primary technical delivery lead for strategic enterprise initiatives across AI Governance, Responsible AI, Cybersecurity, Data Security, Agentic AI, and Forward Deployed Engineering.
- Embed with customer teams to assess business processes, operating models, architecture, security posture, and AI readiness.
- Translate complex business problems into scalable engineering solutions, roadmaps, and implementation plans.
- Own delivery from strategy and architecture through engineering, deployment, adoption, and value realization.
- Accelerate client outcomes by driving production-ready MVPs and scalable enterprise solutions.
- Establish measurable ROI frameworks, delivery KPIs, operational scorecards, and value realization mechanisms.
- Lead complex technical workstreams with aggressive timelines while maintaining quality, security, and governance standards.
- Operate effectively in ambiguous environments, making informed decisions with incomplete information and driving progress without constant oversight.
- Define and operationalize enterprise AI Governance programs, including operating models, governance boards, decision frameworks, and risk controls.
- Develop and guide policies and practices related to Responsible AI, Model Governance, AI Risk Management, AI Ethics, Explainability, Transparency, Human-in-the-Loop Controls, and AI Auditability.
- Lead the development and deployment of agentic AI solutions, autonomous workflows, and AI-enabled operating models.
- Ensure guardrails, governance frameworks, security controls, and responsible AI practices are embedded into solution design and delivery.
- Build and own integrated delivery plans across multiple technical workstreams, dependencies, resources, risks, issues, and budgets.
- Drive executive reporting, stakeholder communications, workshops, and leadership briefings.
- Remove blockers with urgency and hold teams accountable to commitments, quality standards, and measurable outcomes.
- Ensure successful deployment, operational readiness, adoption, and ongoing performance of delivered solutions.
- Partner with architects and engineering teams to review architecture diagrams, API specifications, security assessments, and solution designs.
- Connect technical decisions to client business outcomes, risk mitigation, transformation objectives, and enterprise value.
Qualifications
- 8+ years of enterprise technology delivery experience.
- 8+ years of experience leading complex transformational technology programs.
- 5+ years of experience leading initiatives in AI, cybersecurity, data governance, or cloud transformation.
- Demonstrated track record of rapidly moving initiatives from concept to production.
- Strong technical understanding of AI architecture, security controls, cloud platforms, enterprise integrations, and scalable solution design.
- Deep knowledge of Generative AI, Large Language Models, Agentic AI frameworks, multi-agent architectures, Retrieval-Augmented Generation, fine-tuning strategies, prompt engineering, AI evaluation, AI observability, AI safety, Human-in-the-Loop systems, and autonomous workflow design.
- Experience defining or operationalizing AI Governance, Responsible AI, Model Governance, AI Risk Management, AI Ethics, explainability, transparency, auditability, and governance controls.
- Ability to challenge architects and engineers while remaining collaborative, pragmatic, and outcome-focused.
- Strong executive presence with the ability to lead client workshops, stakeholder reviews, and board-level briefings.
- Proven ability to operate with urgency, ownership, sound judgment, and accountability in fast-moving, ambiguous environments.
- Experience managing risks, dependencies, budgets, resources, timelines, and cross-functional delivery teams.
- Ability to communicate complex technical concepts clearly to business, technical, and executive audiences.
- Preferred: Experience in Telecom.
- Preferred: Experience with Forward Deployed Engineering or SF Agentforce.
The base salary for this position is $92,250 to $140,000 plus incentives that align with individual and company performance. Actual salaries will vary based on work location, qualifications, skills, education, experience, and competencies. Benefits available to eligible employees in this role include medical, dental, and vision insurance, comprehensive employee assistance program, 401(k) retirement plan, paid time off and holidays and paid learning days.
The deadline to apply for this position is: 11/13/2026. This position is for an existing, immediate vacancy. We are currently seeking to fill this role with an individual who can start as soon as possible.
As part of the hiring process, candidates may be required to undergo background screening and identity verification, where permitted by applicable law and consistent with the requirements of the role. Certain verification processes used by the Company or its service providers may involve technologies that rely on biometric identifiers or biometric information, where permitted by law. If biometric identifiers or biometric information are collected, used, or stored, the Company will provide the legally required disclosures and obtain any required written consent prior to such collection, and will handle such information in accordance with applicable biometric privacy laws and Company policies.
#LI-Bellevue
#LI-Hybrid
#Concentrix
Physical and Mental Requirements:
The employee is regularly required to operate a computer, keyboard, telephone/headset, and/or other office equipment as essential functions of this position. Work is generally sedentary in nature.
Equal Employment Opportunity:
Concentrix is an equal opportunity and affirmative action (EEO-AA) employer. We promote equal opportunity to all qualified individuals and do not discriminate in any phase of the employment process based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy or related condition, disability, status as a protected veteran, or any other basis protected by law.
For more information regarding your EEO rights as an applicant, please visit the following websites:
- English
- Spanish
Accommodation:
Concentrix welcomes and encourages applications from candidates with disabilities and is committed to providing an inclusive recruitment process. If you require reasonable accommodation to participate in any stage of the application or interview process, please let us know. Requests may be made by contacting app.acco@concentrix.com. All information will be treated confidentially and used solely to facilitate your participation in the recruitment process.
Artificial Intelligence:
As part of our recruitment process, we may use artificial intelligence (AI) tools to assist in the screening and/or assessment of job applicants. These tools could be used to evaluate resumes, applications, and other materials submitted to help us identify the best candidates for the role.
Work Authorization:
In accordance with federal law, only applicants who are legally authorized to work in the United States will be considered for this position. Must reside in the United States or have a valid U.S. address for residence.
For further information on available work states and Equal Employment Opportunity as an applicant, please click HERE
Title: AI Technical Delivery Manager (AI Governance)
Location: Bellevue, WA (Onsite - 4 days a week)
The AI Technical Delivery Manager will lead strategic enterprise initiatives across AI Governance, Responsible AI, Cybersecurity, Data Security, Agentic AI, and Forward Deployed Engineering. This highly technical, execution-focused leader will partner with clients, architects, AI engineers, data scientists, product teams, and business stakeholders to turn complex challenges into scalable, secure, production-ready solutions.
This role is ideal for a hands-on delivery leader who can assess client environments quickly, shape AI and cybersecurity strategies, mobilize cross-functional teams, govern risk, and drive enterprise-scale execution with urgency, precision, accountability, and measurable business impact.
Responsibilities
- Serve as the primary technical delivery lead for strategic enterprise initiatives across AI Governance, Responsible AI, Cybersecurity, Data Security, Agentic AI, and Forward Deployed Engineering.
- Embed with customer teams to assess business processes, operating models, architecture, security posture, and AI readiness.
- Translate complex business problems into scalable engineering solutions, roadmaps, and implementation plans.
- Own delivery from strategy and architecture through engineering, deployment, adoption, and value realization.
- Accelerate client outcomes by driving production-ready MVPs and scalable enterprise solutions.
- Establish measurable ROI frameworks, delivery KPIs, operational scorecards, and value realization mechanisms.
- Lead complex technical workstreams with aggressive timelines while maintaining quality, security, and governance standards.
- Operate effectively in ambiguous environments, making informed decisions with incomplete information and driving progress without constant oversight.
- Define and operationalize enterprise AI Governance programs, including operating models, governance boards, decision frameworks, and risk controls.
- Develop and guide policies and practices related to Responsible AI, Model Governance, AI Risk Management, AI Ethics, Explainability, Transparency, Human-in-the-Loop Controls, and AI Auditability.
- Lead the development and deployment of agentic AI solutions, autonomous workflows, and AI-enabled operating models.
- Ensure guardrails, governance frameworks, security controls, and responsible AI practices are embedded into solution design and delivery.
- Build and own integrated delivery plans across multiple technical workstreams, dependencies, resources, risks, issues, and budgets.
- Drive executive reporting, stakeholder communications, workshops, and leadership briefings.
- Remove blockers with urgency and hold teams accountable to commitments, quality standards, and measurable outcomes.
- Ensure successful deployment, operational readiness, adoption, and ongoing performance of delivered solutions.
- Partner with architects and engineering teams to review architecture diagrams, API specifications, security assessments, and solution designs.
- Connect technical decisions to client business outcomes, risk mitigation, transformation objectives, and enterprise value.
Qualifications
- 8+ years of enterprise technology delivery experience.
- 8+ years of experience leading complex transformational technology programs.
- 5+ years of experience leading initiatives in AI, cybersecurity, data governance, or cloud transformation.
- Demonstrated track record of rapidly moving initiatives from concept to production.
- Strong technical understanding of AI architecture, security controls, cloud platforms, enterprise integrations, and scalable solution design.
- Deep knowledge of Generative AI, Large Language Models, Agentic AI frameworks, multi-agent architectures, Retrieval-Augmented Generation, fine-tuning strategies, prompt engineering, AI evaluation, AI observability, AI safety, Human-in-the-Loop systems, and autonomous workflow design.
- Experience defining or operationalizing AI Governance, Responsible AI, Model Governance, AI Risk Management, AI Ethics, explainability, transparency, auditability, and governance controls.
- Ability to challenge architects and engineers while remaining collaborative, pragmatic, and outcome-focused.
- Strong executive presence with the ability to lead client workshops, stakeholder reviews, and board-level briefings.
- Proven ability to operate with urgency, ownership, sound judgment, and accountability in fast-moving, ambiguous environments.
- Experience managing risks, dependencies, budgets, resources, timelines, and cross-functional delivery teams.
- Ability to communicate complex technical concepts clearly to business, technical, and executive audiences.
- Preferred: Experience in Telecom.
- Preferred: Experience with Forward Deployed Engineering or SF Agentforce.
The base salary for this position is $92,250 to $140,000 plus incentives that align with individual and company performance. Actual salaries will vary based on work location, qualifications, skills, education, experience, and competencies. Benefits available to eligible employees in this role include medical, dental, and vision insurance, comprehensive employee assistance program, 401(k) retirement plan, paid time off and holidays and paid learning days.
The deadline to apply for this position is: 11/13/2026. This position is for an existing, immediate vacancy. We are currently seeking to fill this role with an individual who can start as soon as possible.
As part of the hiring process, candidates may be required to undergo background screening and identity verification, where permitted by applicable law and consistent with the requirements of the role. Certain verification processes used by the Company or its service providers may involve technologies that rely on biometric identifiers or biometric information, where permitted by law. If biometric identifiers or biometric information are collected, used, or stored, the Company will provide the legally required disclosures and obtain any required written consent prior to such collection, and will handle such information in accordance with applicable biometric privacy laws and Company policies.
#LI-Bellevue
#LI-Hybrid
#Concentrix
Physical and Mental Requirements:
The employee is regularly required to operate a computer, keyboard, telephone/headset, and/or other office equipment as essential functions of this position. Work is generally sedentary in nature.
Equal Employment Opportunity:
Concentrix is an equal opportunity and affirmative action (EEO-AA) employer. We promote equal opportunity to all qualified individuals and do not discriminate in any phase of the employment process based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy or related condition, disability, status as a protected veteran, or any other basis protected by law.
For more information regarding your EEO rights as an applicant, please visit the following websites:
- English
- Spanish
Accommodation:
Concentrix welcomes and encourages applications from candidates with disabilities and is committed to providing an inclusive recruitment process. If you require reasonable accommodation to participate in any stage of the application or interview process, please let us know. Requests may be made by contacting app.acco@concentrix.com. All information will be treated confidentially and used solely to facilitate your participation in the recruitment process.
Artificial Intelligence:
As part of our recruitment process, we may use artificial intelligence (AI) tools to assist in the screening and/or assessment of job applicants. These tools could be used to evaluate resumes, applications, and other materials submitted to help us identify the best candidates for the role.
Work Authorization:
In accordance with federal law, only applicants who are legally authorized to work in the United States will be considered for this position. Must reside in the United States or have a valid U.S. address for residence.
For further information on available work states and Equal Employment Opportunity as an applicant, please click HERE
See all 77+ H-1B Visa Technical Delivery Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Technical Delivery Manager Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Technical Delivery Manager
Map your degree to delivery management duties
Pull the O*NET occupation profile for Technical Delivery Managers and cross-reference your degree field against the listed tasks. USCIS evaluates specialty occupation fit by whether a specific bachelor's degree is normally required, not just preferred, so document the technical depth your credentials cover.
Target employers with active LCA filing history
Search Migrate Mate to find employers who have filed certified LCAs for Technical Delivery Manager or closely related titles. Active filing history signals that the employer already understands the H-1B process and has HR workflows in place, which shortens your time to offer.
Verify worksite-level LCA coverage before accepting an offer
Each office location where you'll work requires its own certified LCA listing that exact address. If your role involves client sites or rotating locations, confirm with HR that the employer files site-specific LCAs, not a single blanket certification, before you sign.
Distinguish program delivery from general management in your resume
USCIS scrutinizes Technical Delivery Manager petitions more closely when duties read as general coordination rather than technical oversight. Reframe your experience around systems architecture decisions, engineering team direction, and technical risk management to reinforce the specialty occupation argument.
Use the OFLC Wage Search to anchor salary conversations
Your employer must certify your wage meets the DOL prevailing wage for your SOC code and work location. Run the OFLC Wage Search for your metro area before negotiations so you enter salary discussions knowing the floor your employer is legally required to meet.
File during your 60-day grace period with a clear start date
If you're between roles, the H-1B grace period gives you 60 days to secure a new sponsoring employer. File the new I-129 petition with USCIS before that window closes, and ensure your offer letter specifies a start date that falls within the period.
H-1B Visa Technical Delivery Manager: Frequently Asked Questions
Does a Technical Delivery Manager role qualify as an H-1B specialty occupation?
Yes, Technical Delivery Manager roles typically qualify as a specialty occupation because the position normally requires at least a bachelor's degree in computer science, engineering, information systems, or a closely related field. The key is that your job duties must reflect technical oversight and decision-making, not just project coordination. USCIS evaluates the actual responsibilities listed in the I-129 petition, so your employer's job description needs to emphasize the degree-dependent technical judgment the role demands.
Which SOC code do H-1B employers typically use for Technical Delivery Managers?
Most employers file under SOC 15-1299 (Computer and Information Technology Occupations, All Other) or 11-3021 (Computer and Information Systems Managers), depending on how the role is structured. The SOC code determines your prevailing wage tier, so it directly affects both your offer floor and the LCA the employer certifies with DOL. Confirm the code your employer intends to use and cross-check the wage level against the OFLC Wage Search for your work location.
How do I find employers who have already sponsored H-1B visas for Technical Delivery Managers?
Migrate Mate shows employers with verified H-1B LCA filing history, searchable by role and location. Targeting companies with an active filing track record means you're not educating HR on the process from scratch. It also gives you data points to verify that the employer has historically certified LCAs under a job title close to Technical Delivery Manager, which reduces petition risk.
Can my H-1B transfer if I move to a new employer mid-project?
Yes, H-1B portability allows you to start work with a new sponsoring employer once they file an I-129 transfer petition with USCIS, without waiting for approval, provided your previous status was lawfully maintained. Your new employer must file a new LCA certified for each worksite where you'll work. The transfer doesn't reset your six-year maximum, so the remaining validity carries over from your original approval.
What happens to my H-1B status if my employer changes my work location?
Moving to a new worksite not covered by your current certified LCA requires your employer to file an amended LCA and, in most cases, an amended I-129 petition with USCIS before you begin working at that location. Technical Delivery Managers who rotate across client sites or offices are particularly exposed to this requirement. Confirm with HR that every new worksite address is covered before you show up on-site.