Engagement Lead Jobs in USA with Visa Sponsorship
Engagement Lead roles attract H-1B visa, O-1 visa, and TN visa sponsorship from employers in consulting, tech, and nonprofit sectors. Most positions require a bachelor's degree in communications, business, or a related field, and sponsoring employers typically file under specialty occupation classifications. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsJob Role: Senior Engagement Lead - AI
Location: Fremont, CA (Hybrid 3 days onsite per week)
Long-Term Contract
About the role
We are hiring a Senior Engagement Lead to be our single onsite presence at a client in California, representing a remote delivery team based in India. You will be the voice of the client within our team and the face of our team within the client. You will embed with business users, absorb their context, pain points and organizational nuance, and translate it into clear direction for sales, solutioning and offshore delivery. You will work in a product-led, agile environment, where success is measured by outcomes, adoption and client satisfaction. This role suits a consultant who is technically credible in AI, fluent in agile and product ways of working, and comfortable operating on their own without a local team around them.
Key responsibilities
Voice of the client (onsite)
- Act as the single onsite representative of the India-based delivery team at the client site.
- Embed with business users day to day: shadow their workflows, join their routines and gather context informally, not only through formal meetings.
- Absorb business context, user pain points and organizational dynamics, and translate them back to sales, solutioning and delivery teams.
- Be the first point of contact for client questions, concerns and new ideas, and route them quickly to the right people.
Onsite–offshore bridging
- Structure overlap hours between US and India time zones and run a predictable rhythm of daily handoffs.
- Keep async communication disciplined: clear written handoffs, logged decisions and tracked open questions, so nothing is lost between onsite context and offshore execution.
- Coordinate and guide the offshore team day to day, unblocking them and supplying the context they cannot get remotely.
Business analysis and requirements
- Elicit and document requirements, user stories and acceptance criteria that the offshore team can build from without rework.
- Work with Product Owners to refine the backlog, breaking epics into well-formed, prioritized stories.
- Validate solutions with users through demos and feedback loops, and feed what you learn back into the backlog.
Agile and product-led delivery
- Deliver using Scrum, taking an active part in sprint planning, reviews and demos, retrospectives and backlog refinement.
- Partner with client Product Owners and Product Managers, aligning delivery to the product roadmap and backlog-driven priorities.
- Measure success through outcomes, user adoption and business value.
- Show progress through working software, regular demos and an iterative release cadence.
- Work in the client’s tools and channels, such as Jira or Azure DevOps, Confluence, and Slack or Teams.
- Surface risks, dependencies and blockers early and resolve them with the client and offshore team.
AI solutioning and account growth
- Frame business problems as AI opportunities with clear, measurable outcomes.
- Shape the right approach for each problem, from classical ML to generative AI, LLMs and agentic systems, with the offshore architects.
- Support pre-sales: discovery, solution shaping and effort estimation.
- Pitch solutions and new ideas to client stakeholders, from technical teams to CXOs.
- Spot opportunities to expand the account with new AI use cases.
Client success
- Own the outcome of client expectations met and exceeded, tracked through regular feedback.
- Calibrate expectations early and continuously, so there are no surprises on scope, timing or results.
- Drive value realization and user adoption after each release, not just delivery.
- Act as a trusted advisor to client stakeholders at senior and working levels, and handle difficult conversations with candour.
Required experience
- 10+ years of overall experience in Data and AI, including significant time in client-facing consulting or engagement roles.
- Strong hands-on background in building data and AI solutions, deep enough to be technically credible with client architects and the offshore engineering team.
- Proven experience as the onsite lead for offshore or distributed delivery teams, ideally India-based.
- Agile delivery track record using Scrum, SAFe or Kanban, including running or taking part in sprint ceremonies.
- Product management fluency: working with Product Owners and PMs, product roadmaps, backlog-driven prioritization and outcome-based measures.
- Business analysis depth: eliciting requirements and writing user stories and acceptance criteria that remote teams can execute from.
- Strong stakeholder management with client business users, product leaders and executives.
- Track record of solutioning AI business problems and translating business needs into practical technical direction.
- Experience in pre-sales and pitching solutions and ideas to customers.
- Excellent written and oral communication, including concise async written updates that work across time zones.
Technical expertise
The role needs strong technical credibility rather than day-to-day building. You should be able to shape solutions, challenge designs and earn the trust of engineers.
- Machine learning and deep learning: supervised and unsupervised methods, NLP, computer vision, forecasting.
- Generative AI: LLMs, retrieval-augmented generation (RAG), prompt engineering, fine-tuning and AI agents.
- Languages and frameworks: Python and LangChain or similar.
- Cloud AI platform: Azure (Azure ML, Azure OpenAI).
- Data foundations: data engineering, Azure data platform.
- MLOps / LLMOps: model deployment, monitoring, evaluation and lifecycle management.
- Responsible AI: security, privacy, explainability and bias considerations.
- Delivery tooling: Jira or Azure DevOps, Confluence, Slack or Teams.
Personal attributes
- Comfortable with ambiguity, and able to create structure where none exists.
- Influences without authority, across both client and internal teams.
- Operates independently and confidently as the only team member onsite, without a local team for support.
- High ownership and a client-first mindset, with the judgement to know when to escalate.
- Culturally fluent across US and Indian working styles.
Good to have
- Domain exposure to semiconductor or manufacturing.
- Agile or product certifications, such as CSM, PSM, SAFe or CSPO.
- Microsoft Azure AI or data certifications.
- Experience building an AI practice, including offerings, accelerators and partner relationships.
- Thought leadership through publications, conference talks or community contributions.
Education
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Statistics, Mathematics or a related field.
- An MBA is a plus but not required.
Job Role: Senior Engagement Lead - AI
Location: Fremont, CA (Hybrid 3 days onsite per week)
Long-Term Contract
About the role
We are hiring a Senior Engagement Lead to be our single onsite presence at a client in California, representing a remote delivery team based in India. You will be the voice of the client within our team and the face of our team within the client. You will embed with business users, absorb their context, pain points and organizational nuance, and translate it into clear direction for sales, solutioning and offshore delivery. You will work in a product-led, agile environment, where success is measured by outcomes, adoption and client satisfaction. This role suits a consultant who is technically credible in AI, fluent in agile and product ways of working, and comfortable operating on their own without a local team around them.
Key responsibilities
Voice of the client (onsite)
- Act as the single onsite representative of the India-based delivery team at the client site.
- Embed with business users day to day: shadow their workflows, join their routines and gather context informally, not only through formal meetings.
- Absorb business context, user pain points and organizational dynamics, and translate them back to sales, solutioning and delivery teams.
- Be the first point of contact for client questions, concerns and new ideas, and route them quickly to the right people.
Onsite–offshore bridging
- Structure overlap hours between US and India time zones and run a predictable rhythm of daily handoffs.
- Keep async communication disciplined: clear written handoffs, logged decisions and tracked open questions, so nothing is lost between onsite context and offshore execution.
- Coordinate and guide the offshore team day to day, unblocking them and supplying the context they cannot get remotely.
Business analysis and requirements
- Elicit and document requirements, user stories and acceptance criteria that the offshore team can build from without rework.
- Work with Product Owners to refine the backlog, breaking epics into well-formed, prioritized stories.
- Validate solutions with users through demos and feedback loops, and feed what you learn back into the backlog.
Agile and product-led delivery
- Deliver using Scrum, taking an active part in sprint planning, reviews and demos, retrospectives and backlog refinement.
- Partner with client Product Owners and Product Managers, aligning delivery to the product roadmap and backlog-driven priorities.
- Measure success through outcomes, user adoption and business value.
- Show progress through working software, regular demos and an iterative release cadence.
- Work in the client’s tools and channels, such as Jira or Azure DevOps, Confluence, and Slack or Teams.
- Surface risks, dependencies and blockers early and resolve them with the client and offshore team.
AI solutioning and account growth
- Frame business problems as AI opportunities with clear, measurable outcomes.
- Shape the right approach for each problem, from classical ML to generative AI, LLMs and agentic systems, with the offshore architects.
- Support pre-sales: discovery, solution shaping and effort estimation.
- Pitch solutions and new ideas to client stakeholders, from technical teams to CXOs.
- Spot opportunities to expand the account with new AI use cases.
Client success
- Own the outcome of client expectations met and exceeded, tracked through regular feedback.
- Calibrate expectations early and continuously, so there are no surprises on scope, timing or results.
- Drive value realization and user adoption after each release, not just delivery.
- Act as a trusted advisor to client stakeholders at senior and working levels, and handle difficult conversations with candour.
Required experience
- 10+ years of overall experience in Data and AI, including significant time in client-facing consulting or engagement roles.
- Strong hands-on background in building data and AI solutions, deep enough to be technically credible with client architects and the offshore engineering team.
- Proven experience as the onsite lead for offshore or distributed delivery teams, ideally India-based.
- Agile delivery track record using Scrum, SAFe or Kanban, including running or taking part in sprint ceremonies.
- Product management fluency: working with Product Owners and PMs, product roadmaps, backlog-driven prioritization and outcome-based measures.
- Business analysis depth: eliciting requirements and writing user stories and acceptance criteria that remote teams can execute from.
- Strong stakeholder management with client business users, product leaders and executives.
- Track record of solutioning AI business problems and translating business needs into practical technical direction.
- Experience in pre-sales and pitching solutions and ideas to customers.
- Excellent written and oral communication, including concise async written updates that work across time zones.
Technical expertise
The role needs strong technical credibility rather than day-to-day building. You should be able to shape solutions, challenge designs and earn the trust of engineers.
- Machine learning and deep learning: supervised and unsupervised methods, NLP, computer vision, forecasting.
- Generative AI: LLMs, retrieval-augmented generation (RAG), prompt engineering, fine-tuning and AI agents.
- Languages and frameworks: Python and LangChain or similar.
- Cloud AI platform: Azure (Azure ML, Azure OpenAI).
- Data foundations: data engineering, Azure data platform.
- MLOps / LLMOps: model deployment, monitoring, evaluation and lifecycle management.
- Responsible AI: security, privacy, explainability and bias considerations.
- Delivery tooling: Jira or Azure DevOps, Confluence, Slack or Teams.
Personal attributes
- Comfortable with ambiguity, and able to create structure where none exists.
- Influences without authority, across both client and internal teams.
- Operates independently and confidently as the only team member onsite, without a local team for support.
- High ownership and a client-first mindset, with the judgement to know when to escalate.
- Culturally fluent across US and Indian working styles.
Good to have
- Domain exposure to semiconductor or manufacturing.
- Agile or product certifications, such as CSM, PSM, SAFe or CSPO.
- Microsoft Azure AI or data certifications.
- Experience building an AI practice, including offerings, accelerators and partner relationships.
- Thought leadership through publications, conference talks or community contributions.
Education
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Statistics, Mathematics or a related field.
- An MBA is a plus but not required.
See all 5,383+ Engagement Lead Jobs
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Get Access To All JobsTips for Finding Engagement Lead Jobs
Target employers with a sponsorship track record
Consulting firms, large nonprofits, and tech companies are far more likely to sponsor Engagement Lead roles than small agencies. Look for organizations that have filed Labor Condition Applications for similar titles in the past two to three years.
Frame your degree as field-specific
H-1B specialty occupation approval depends on your degree aligning directly with the role. A background in communications, organizational psychology, marketing, or business administration strengthens the case that this position requires a specific academic discipline.
Emphasize strategic scope, not just coordination
USCIS scrutinizes whether Engagement Lead roles genuinely require a bachelor's degree. Job descriptions and offer letters should emphasize strategic planning, stakeholder management, and analytical responsibilities rather than administrative or general coordination tasks.
Ask about sponsorship policy before your first interview
Many employers sponsor but have never been asked directly. Raising sponsorship early filters out companies that won't sponsor and lets genuinely willing employers confirm their process, saving you weeks of time in a job search.
Australians should explore the E-3 visa pathway
The E-3 visa is available exclusively to Australian citizens and has no lottery. Engagement Lead roles in specialty occupation categories qualify, and the application process is faster and significantly less uncertain than the standard H-1B cap process.
Build a portfolio of measurable engagement outcomes
Sponsoring employers need to justify the time and cost of petitioning USCIS. Candidates who can document quantifiable results, such as retention rates, program growth, or stakeholder reach, are considerably easier for employers to advocate for internally.
Frequently Asked Questions
Can an Engagement Lead role qualify for H-1B sponsorship?
Yes, but the role must meet USCIS specialty occupation standards, meaning it normally requires a bachelor's degree in a specific field. Engagement Lead positions with strategic, analytical, or program-design responsibilities tend to qualify. Roles that look primarily administrative are more vulnerable to a Request for Evidence. The offer letter and job description are critical documents in establishing that qualification.
What degree do I need to get sponsored as an Engagement Lead?
A bachelor's degree in communications, business administration, marketing, organizational development, or a closely related field is the most common basis for H-1B visa sponsorship in this role. The key is that your degree aligns with the specific duties of the position. If your degree is in an unrelated field, three years of relevant professional experience can substitute for each year of missing education under USCIS rules.
How do I find Engagement Lead jobs that offer visa sponsorship?
Migrate Mate is built specifically for international candidates and filters job listings by sponsorship willingness, so you're not sifting through postings from employers who won't sponsor. Standard job boards don't surface this information reliably, which means most candidates waste significant time applying to roles where sponsorship was never on the table.
Is an Engagement Lead role likely to face an H-1B Request for Evidence?
The risk is moderate. USCIS has historically questioned whether engagement, outreach, and coordination roles require a specific degree, particularly if the job description uses broad language. Employers who draft precise, responsibility-focused job descriptions that connect each duty to a specialized academic background significantly reduce RFE risk. Working with an immigration attorney on the petition is worth the investment for this title.
Can a Canadian or Mexican national get TN visa status as an Engagement Lead?
Possibly, but the TN visa requires the role to fall under one of the enumerated USMCA professions. Engagement Lead doesn't map cleanly to a listed category the way engineering or accounting does. Some applicants have succeeded under the 'Management Consultant' classification if the role has a clear consultative and strategic scope, but this requires careful documentation and is not guaranteed at the port of entry.
What is the prevailing wage requirement for sponsored Engagement Lead jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.