E-3 Visa AI Data Engineer Jobs
AI Data Engineer roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in computer science, data engineering, or a related field. The E-3 has no lottery and no annual cap, so Australian professionals can apply as soon as they have a qualifying job offer from a U.S. employer.
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You Are:
A Senior Manager who is part strategist, part consultant, and part hands‑on practitioner. You’re as comfortable in the boardroom as you are in a whiteboard session with architects. You shape complex deals, craft executive‑ready narratives, and lead multidisciplinary teams to turn agentic AI concepts into secure, production‑ready solutions on the Microsoft stack. You thrive at the intersection of client value, technical depth, and storytelling.
The Work
As a Microsoft-specialized Agentic AI Senior Manager in AMBG, you will lead origination and pre‑sales solutioning for high‑impact opportunities, steer C‑suite conversations, and provide technical leadership across the Microsoft AI platform. You’ll create compelling visions and roadmaps, architect solution approaches (from POV to pilot to scaled deployment), and orchestrate cross‑functional teams from Accenture, Avanade, and Microsoft to win and deliver transformative outcomes.
Key Responsibilities
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Deal Shaping & Pre Sales Solutioning
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Own end‑to‑end pursuit leadership for agentic AI opportunities: discovery, value hypothesis, solution blueprint, estimation, risk/RAI posture, and commercial constructs; partner closely with AMBG sellers and Microsoft field teams.
- Translate business strategies into technical architectures using Microsoft 365 Copilot, Dynamics 365 Copilots, Copilot Studio, Azure AI Foundry (Azure AI Studio), Azure OpenAI Service, Azure AI Search, Azure AI Agent Service, Azure ML, and Microsoft Fabric.
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Build defendable, scalable proposals and SOWs; align solution scope, staffing model, and delivery approach to client outcomes and risk profile.
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C-level Storytelling & Executive Advisory
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Craft crisp, board‑level narratives that connect industry problems to agentic AI outcomes; use data‑backed storytelling to secure executive sponsorship and funding. (Aligned to Senior Manager executive communication expectations.)
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Facilitate exec workshops to shape transformation agendas, operating models, value cases, and governance for Copilots and autonomous agents.
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Technical Leadership & Architecture
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Define reference architectures and patterns for agentic workflows (planning, reasoning, tools, memory), orchestration, retrieval (RAG), evaluation, guardrails, and observability on Azure.
- Guide teams building POCs and accelerators with Copilot Studio (low‑code) and Azure AI Foundry (pro‑code), including Prompt Flow‑based evals, content safety, and end‑to‑end MLOps/GenAIOps.
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Ensure secure‑by‑design solutions across identity, data, Responsible AI, compliance, and lifecycle governance for enterprise deployment.
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Delivery Readiness & Scale
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Create phased roadmaps (POV pilot* scaled rollout), acceptance criteria, KPIs, and value tracking to realize outcomes post‑sale.
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Coach and upskill cross‑functional teams (strategy, industry, data/AI, Modern Work, Security) to deliver repeatable outcomes and reuse accelerators.
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Ecosystem Orchestration
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Operate as one with Accenture, Avanade, and Microsoft—co‑innovating, co‑selling, and co‑delivering; align to Microsoft programs and co‑funding where appropriate.
Travel may be required for this role. The amount of travel will vary from 05% to 100% depending on business need and client requirements.
Here’s What You Need:
- Minimum of 10 years in consulting/technology, including 5+ years leading pre‑sales solutioning or architecture for cloud/data/AI programs, ideally on Microsoft.
- Minimum of 10 years of experience and ability to craft solution options, estimates, delivery models, and risk mitigations; collaborate with deal teams on pricing, T&Cs, and governance.
- Minimum of 3 years of hands‑on architecture or supervision experience with Microsoft Foundry, Azure OpenAI Service, Azure AI Search, Azure AI Agent Service, Azure ML, Prompt Flow/evaluations, and Microsoft Fabric; fluency in when to use Copilot Studio vs. pro‑code approaches.
- Minimum of 10 years of experience leading multi‑disciplinary teams across strategy, industry, data/AI engineering, and change management; strong coaching and “lead‑from‑the‑front” ethos.
- Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)
Professional Skills Requirement
- Practical knowledge of Responsible AI, identity, security, data governance, and deployment guardrails for enterprise AI.
- Strong, C‑level communication and consulting skills and ability to engage business and technology stakeholders.
- Ability to lead large, multidisciplinary technical teams.
- Structured, value‑driven, problem‑solving mindset.
Bonus Points If:
- You’ve led end‑to‑end agentic AI business process transformations.
- You’ve shipped Copilot Studio solutions and Azure AI Foundry agents in regulated industries (FS, H&PS), including content safety, evals, and monitoring.
You bring industry POVs (e.g., Fabric‑enabled data modernization agentic workflows* function transformation) and can connect them to measurable business KPIs.
IMPORTANT before applying for a job internally:
· Review this application criteria.
· You must already possess the appropriate visas and/or work permits required to live and work in the country the job is based. Do not apply until you have confirmed these authorizations are in place, or the job description states that international applicants will be considered.
· If you apply and are selected for a job at a higher level, it will be offered at your current level. You will be considered for promotion at the next eligible promotion period, except where subject to local law or contractual obligations*.
ICEG, France, Belgium, Luxembourg, Austria, and Germany: Promotions will be handled in accordance with local labor laws and works council agreements, where applicable).
Compensation at Avanade varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Avanade provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted on 07/08/2026 and open for at least 30 days.
Avanade offers a market competitive suite of benefits including medical, dental, vision, life, and long‑term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.
Compensation Range:
- California - $176,800 - $217,550
- Cleveland - $164,000 - $194,750
- Colorado - $164,000 - $194,750
- District of Columbia - $183,200 - $217,550
- Illinois - $176,800 - $209,950
- Maryland - $183,200 - $217,550
- Massachusetts - $183,200 - $217,550
- Minnesota - $176,800 - $209,950
- New York / New Jersey - $194,400 - $230,850
- Washington - $183,200 - $217,550
See all 1,150+ E-3 Visa AI Data Engineer Jobs
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as an AI Data Engineer
Align your credentials to U.S. specialty occupation standards
DOL requires your degree field to directly relate to the AI Data Engineer role. A computer science or data engineering degree maps cleanly, but if yours is in a tangential field, document how your coursework covers machine learning pipelines, distributed systems, or cloud data architecture.
Target employers with active LCA filing histories
U.S. employers file a Labor Condition Application with DOL before sponsoring any E-3 visa. Search DOL's Office of Foreign Labor Certification disclosure data to confirm a prospective employer has filed LCAs for data engineering or AI roles before approaching them.
Search for E-3 sponsorship roles on Migrate Mate
Most job boards don't filter by visa type, so you end up cold-applying to roles where sponsorship was never on the table. Migrate Mate surfaces AI Data Engineer roles specifically listed with E-3 sponsorship, cutting out the guesswork before you invest time in applications.
Negotiate LCA filing into your offer timeline
The LCA must be certified by DOL before your visa application, which adds roughly one to two weeks to the timeline. Raise this during offer negotiation so your start date accounts for LCA certification and consulate appointment scheduling, not just your notice period.
Use Migrate Mate's E-3 filing service to coordinate LCA and consulate prep
E-3 applications involve the employer filing the LCA and you filing the DS-160 and attending a consulate interview. Migrate Mate's E-3 filing service manages the entire process from offer to consulate appointment, reducing coordination errors that can delay your start date.
Prepare for specialty occupation questions at your consulate interview
Consular officers may probe whether your AI Data Engineer role genuinely requires a bachelor's degree or higher. Bring documentation showing the technical depth of the role, such as your job description referencing specific ML frameworks, data pipeline tools, or cloud platforms, alongside your degree transcripts.
E-3 Visa AI Data Engineer: Frequently Asked Questions
How do I find AI Data Engineer jobs that offer E-3 visa sponsorship?
Most job listings don't specify visa sponsorship type, making it hard to know whether an employer will support an E-3 before you apply. Migrate Mate filters roles by E-3 sponsorship availability, so you can search AI Data Engineer positions where employers have already indicated willingness to sponsor, saving you from dead-end applications.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does an AI Data Engineer role qualify as a specialty occupation for the E-3?
Yes, AI Data Engineer roles consistently qualify because they require theoretical and practical application of highly specialized knowledge, typically a bachelor's degree or higher in computer science, data engineering, or a closely related field. The DOL and USCIS assess specialty occupation on a case-by-case basis, so your job offer letter should specify the degree requirement and the technical complexity of the role.
How does the E-3 compare to the H-1B for AI Data Engineers?
For Australian nationals, the E-3 is significantly more practical than the H-1B visa. The H-1B has an annual cap of 85,000 slots and a randomized lottery, meaning many qualified engineers wait years or never get selected. The E-3 has a separate 10,500 annual allocation that has never been fully used, so there's no lottery and no waiting period once you have a qualifying job offer.
Can I switch employers after starting work on an E-3 as an AI Data Engineer?
Yes, but each new employer must file a fresh LCA with DOL and you'll need a new E-3 visa tied to that employer. You can begin work with the new employer once their LCA is certified and you've obtained updated E-3 documentation. There's no portability provision like the H-1B, so don't resign before the new employer's paperwork is in order.