Genpact Green Card Visa Sponsorship Jobs USA
Genpact sponsors Green Cards for consulting and professional services roles, particularly in technology, analytics, and business transformation. The company has an established sponsorship track record, making it a credible option for professionals seeking long-term work authorization through employer-sponsored permanent residency.
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Get Access To All JobsAbout the Company: Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.
About the Role: Genpact is urgently looking for a strong Consultant for one of our precious clients in Brazil. If you are interested kindly share profile at
Job Title: Artificial Intelligence Engineer / Machine Learning Engineer
Location: Richardson, TX (Hybrid)
Mode of Hire: Full Time
Responsibilities:
- Own end-to-end ML/AI projects: problem framing, data pipelines, modeling, offline/online evals, deployment, monitoring, and iteration.
- Build and productionize agentic workflows (tool-using/multi-step agents with retrieval, planning, and human-in-the-loop), including safety/guardrails and reliability.
- Train classical ML models (tree ensembles, linear models, anomaly detectors, time-series forecasting) and deep learning models when appropriate.
- Operationalize models with CI/CD, feature stores, reproducible training, and model registries.
- Monitor and improve live systems: data & concept drift detection, performance regression, bias/fairness, cost/latency; drive remediation playbooks.
- Partner cross-functionally with product, data, and platform teams; write clear design docs.
- Work as an Individual contributor with minimal directions.
- Should be able to interact with stakeholders, understand the problem statement, and come up with solutions.
Minimum qualifications:
- Minimum 4+ years hands-on ML engineering (with significant ML experience prior to 2023): you’ve shipped multiple ML systems to production. Not looking for someone who started working on AI after pre-trained models/ChatGPT were released.
- Minimum 6+ years of total experience in Software Development, preferably with a Data Analyst/Data Scientist background.
- Experience leading/mentoring junior data scientists or ML engineers is a plus.
- Demonstrated production agent build (at least one end-to-end agentic framework delivered to users).
- Strong with classical ML: feature engineering, cross-validation, calibration, regularization, class imbalance, interpretability (SHAP/LIME), time-series (forecasting, seasonality, drift).
- Solid deep learning foundations (CNN/RNN/Transformers), and practical fine-tuning experience (e.g., LoRA/QLoRA, instruction tuning, RAG).
- Proven MLOps: Model registry/experiment tracking (MLflow or equivalent), model serving (FastAPI/TF-Serving/TorchServe/TGI/vLLM), observability.
- Fluency in Python and the ML stack (NumPy/Pandas, scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow).
- Excellent communication; can drive projects independently as an Individual Contributor.
- Experience fine tuning SLMs is a huge plus.
Must have:
- Experience with agent frameworks (LangGraph/LangChain Agents, AutoGen, Google ADK) and tool use (function calling, tool routing, planners).
- Retrieval/RAG design: chunking strategies, embedding models, vector stores (FAISS, Pinecone, Weaviate), hybrid search, evals.
- Must have implemented projects involving some classical ML problems (classification, clustering, regression, anomaly detection, time series etc.).
- Some working experience with Cloud services, CI/CD and Microservices.
Equal Opportunity Statement: Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. For more information, visit Genpact. Follow us on Twitter, Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
About the Company: Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.
About the Role: Genpact is urgently looking for a strong Consultant for one of our precious clients in Brazil. If you are interested kindly share profile at
Job Title: Artificial Intelligence Engineer / Machine Learning Engineer
Location: Richardson, TX (Hybrid)
Mode of Hire: Full Time
Responsibilities:
- Own end-to-end ML/AI projects: problem framing, data pipelines, modeling, offline/online evals, deployment, monitoring, and iteration.
- Build and productionize agentic workflows (tool-using/multi-step agents with retrieval, planning, and human-in-the-loop), including safety/guardrails and reliability.
- Train classical ML models (tree ensembles, linear models, anomaly detectors, time-series forecasting) and deep learning models when appropriate.
- Operationalize models with CI/CD, feature stores, reproducible training, and model registries.
- Monitor and improve live systems: data & concept drift detection, performance regression, bias/fairness, cost/latency; drive remediation playbooks.
- Partner cross-functionally with product, data, and platform teams; write clear design docs.
- Work as an Individual contributor with minimal directions.
- Should be able to interact with stakeholders, understand the problem statement, and come up with solutions.
Minimum qualifications:
- Minimum 4+ years hands-on ML engineering (with significant ML experience prior to 2023): you’ve shipped multiple ML systems to production. Not looking for someone who started working on AI after pre-trained models/ChatGPT were released.
- Minimum 6+ years of total experience in Software Development, preferably with a Data Analyst/Data Scientist background.
- Experience leading/mentoring junior data scientists or ML engineers is a plus.
- Demonstrated production agent build (at least one end-to-end agentic framework delivered to users).
- Strong with classical ML: feature engineering, cross-validation, calibration, regularization, class imbalance, interpretability (SHAP/LIME), time-series (forecasting, seasonality, drift).
- Solid deep learning foundations (CNN/RNN/Transformers), and practical fine-tuning experience (e.g., LoRA/QLoRA, instruction tuning, RAG).
- Proven MLOps: Model registry/experiment tracking (MLflow or equivalent), model serving (FastAPI/TF-Serving/TorchServe/TGI/vLLM), observability.
- Fluency in Python and the ML stack (NumPy/Pandas, scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow).
- Excellent communication; can drive projects independently as an Individual Contributor.
- Experience fine tuning SLMs is a huge plus.
Must have:
- Experience with agent frameworks (LangGraph/LangChain Agents, AutoGen, Google ADK) and tool use (function calling, tool routing, planners).
- Retrieval/RAG design: chunking strategies, embedding models, vector stores (FAISS, Pinecone, Weaviate), hybrid search, evals.
- Must have implemented projects involving some classical ML problems (classification, clustering, regression, anomaly detection, time series etc.).
- Some working experience with Cloud services, CI/CD and Microservices.
Equal Opportunity Statement: Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. For more information, visit Genpact. Follow us on Twitter, Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
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Get Access To All JobsTips for Finding Genpact Green Card Jobs
Target technology and analytics roles
Genpact's Green Card sponsorships concentrate in data, AI, and enterprise technology functions. Roles requiring specialized technical skills in consulting and digital transformation tend to have the strongest case for employer-sponsored permanent residency.
Raise Green Card early in negotiations
Consulting firms like Genpact plan workforce immigration proactively. Bringing up long-term sponsorship intent during the offer stage, rather than after joining, signals commitment and gives HR time to assess your eligibility before your nonimmigrant status constrains timelines.
Understand the PERM labor certification process
Green Card sponsorship at Genpact typically starts with PERM, where the company must demonstrate no qualified U.S. workers are available. Knowing this process helps you ask the right questions and set realistic expectations during your hiring conversations.
Build internal visibility before requesting sponsorship
At large consulting firms, sponsorship decisions often involve project leads, not just HR. Strong performance reviews and client-facing success make it easier for managers to advocate for your Green Card petition internally when the decision reaches leadership.
Search for verified sponsoring roles before applying
Not every Genpact posting leads to Green Card sponsorship. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, helping you focus your applications on roles where sponsorship is a genuine possibility.
Align your job title to Green Card petition requirements
PERM petitions require the job title and duties to match the education and experience on your application exactly. In consulting environments with fluid role descriptions, clarify with your HR contact how your position will be defined before the petition is filed.
Genpact Green Card Visa Sponsorship: Frequently Asked Questions
Does Genpact sponsor Green Card visas?
Yes, Genpact sponsors Green Card visas for qualifying employees, primarily through the EB-2 and EB-3 employment-based preference categories. Sponsorship is typically offered to professionals in technology, analytics, and consulting roles where Genpact has a demonstrated long-term need and the employee has proven their value to the business.
Which roles and departments at Genpact are most likely to receive Green Card sponsorship?
Green Card sponsorship at Genpact tends to concentrate in data engineering, artificial intelligence, enterprise technology consulting, and finance transformation roles. These functions require specialized skills that support long-term business needs, which strengthens the case for permanent residency sponsorship compared to generalist or short-term project roles.
How does the Green Card application process work at Genpact?
Genpact typically initiates the Green Card process through PERM labor certification, where the company documents its efforts to recruit U.S. workers for the role before sponsoring a foreign national. After PERM approval, Genpact files an immigrant petition on your behalf, followed by either adjustment of status or consular processing depending on your current visa situation.
How long does the Green Card process take at Genpact?
The timeline depends heavily on your country of birth and the preference category your role falls under. PERM itself can take several months to over a year. Employees born in India or China face significantly longer waits due to visa backlogs. Genpact's immigration team and an external attorney will typically give you a realistic projection based on your specific situation.
How do I improve my chances of getting Green Card sponsorship at Genpact?
Start by targeting roles in Genpact's high-sponsorship functions like analytics and enterprise technology, and raise sponsorship intent early in your conversations with HR. Migrate Mate can help you identify open Genpact positions with verified sponsorship history so you apply to roles where Green Card support is realistic. Strong performance and a clear long-term fit with the company's consulting needs are the strongest signals that sponsorship will follow.
What is the prevailing wage for Green Card sponsorship at Genpact?
Employers sponsoring a Green Card through the PERM labor certification process must pay at least the prevailing wage for the role. The Department of Labor determines this rate based on the specific job title, location, and experience level. The prevailing wage is locked in during the PERM filing and applies through the entire Green Card process. You can look up current rates using the DOL's OFLC Wage Search tool.