AI Data Engineer Jobs at Synechron with Visa Sponsorship
Synechron hires AI Data Engineers to build and scale data pipelines, machine learning infrastructure, and analytics platforms for financial services and technology clients. The company actively sponsors work visas for this function, supporting candidates across multiple visa categories throughout the hiring process.
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INTRODUCTION
We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,400+, and has 60 offices in 20 countries within key global markets.
OUR CHALLENGE
We are seeking a Senior AI/ML Engineer to design, build, and deploy scalable machine learning solutions that drive business outcomes. The role involves end‑to‑end ownership of ML models, collaboration with data, platform, and business teams, and mentoring junior engineers.
ADDITIONAL INFORMATION
The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Pittsburgh, PA is $100k - $115k/year & benefits (see below).
THE ROLE
Responsibilities:
- Design, develop, and deploy machine learning and deep learning models for production use
- Translate business problems into AI/ML solutions with measurable impact
- Perform data analysis, feature engineering, model training, validation, and tuning
- Build and maintain ML pipelines (MLOps) for training, deployment, monitoring, and retraining
- Work with large-scale structured and unstructured datasets
- Collaborate with product, engineering, data, and cloud teams
- Ensure model performance, scalability, security, and compliance
- Mentor junior ML engineers and review technical designs and code
- Contribute to AI best practices, standards, and reusable frameworks
Requirements
- Experience in AI/ML, Data Science, or Advanced Analytics
- Strong hands-on experience with Python and ML libraries (TensorFlow, PyTorch, Scikit-learn)
- Solid understanding of ML algorithms: regression, classification, clustering, NLP, time series
- Experience with deep learning, neural networks, transformers, or LLM-based approaches
WE OFFER:
- A highly competitive compensation and benefits package.
- A multinational organization with 60 offices in 20 countries and the possibility to work abroad.
- 10 days of paid annual leave (plus sick leave and national holidays).
- Maternity & paternity leave plans.
- A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
- Retirement savings plans.
- A higher education certification policy.
- Commuter benefits (varies by region).
- Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
- On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
- Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
- Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
- A flat and approachable organization.
- A truly diverse, fun-loving, and global work culture.
SYNECHRON’S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

INTRODUCTION
We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,400+, and has 60 offices in 20 countries within key global markets.
OUR CHALLENGE
We are seeking a Senior AI/ML Engineer to design, build, and deploy scalable machine learning solutions that drive business outcomes. The role involves end‑to‑end ownership of ML models, collaboration with data, platform, and business teams, and mentoring junior engineers.
ADDITIONAL INFORMATION
The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Pittsburgh, PA is $100k - $115k/year & benefits (see below).
THE ROLE
Responsibilities:
- Design, develop, and deploy machine learning and deep learning models for production use
- Translate business problems into AI/ML solutions with measurable impact
- Perform data analysis, feature engineering, model training, validation, and tuning
- Build and maintain ML pipelines (MLOps) for training, deployment, monitoring, and retraining
- Work with large-scale structured and unstructured datasets
- Collaborate with product, engineering, data, and cloud teams
- Ensure model performance, scalability, security, and compliance
- Mentor junior ML engineers and review technical designs and code
- Contribute to AI best practices, standards, and reusable frameworks
Requirements
- Experience in AI/ML, Data Science, or Advanced Analytics
- Strong hands-on experience with Python and ML libraries (TensorFlow, PyTorch, Scikit-learn)
- Solid understanding of ML algorithms: regression, classification, clustering, NLP, time series
- Experience with deep learning, neural networks, transformers, or LLM-based approaches
WE OFFER:
- A highly competitive compensation and benefits package.
- A multinational organization with 60 offices in 20 countries and the possibility to work abroad.
- 10 days of paid annual leave (plus sick leave and national holidays).
- Maternity & paternity leave plans.
- A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
- Retirement savings plans.
- A higher education certification policy.
- Commuter benefits (varies by region).
- Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
- On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
- Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
- Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
- A flat and approachable organization.
- A truly diverse, fun-loving, and global work culture.
SYNECHRON’S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
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Get Access To All JobsTips for Finding AI Data Engineer Jobs at Synechron Jobs
Align your portfolio to financial data pipelines
Synechron's AI Data Engineer work is heavily client-facing in financial services. Projects involving real-time data ingestion, regulatory reporting pipelines, or risk model infrastructure will resonate far more than general ML engineering experience on your resume.
Clarify your visa status before the first screen
Synechron sponsors across several visa categories, but their recruiters need to assess timeline and cost early. State your current status and authorization end date upfront so the hiring team can route your file to the right internal process without delays.
Request LCA filing details before accepting an offer
Before signing, ask your recruiter which prevailing wage level they intend to file at with DOL. For AI Data Engineer roles, wage level mismatches are a common source of H-1B petition issues and can affect your offer terms if caught late.
Target roles that list cloud and orchestration tools explicitly
Synechron's AI Data Engineer postings that mention Spark, Airflow, or cloud-native data platforms (AWS Glue, Azure Data Factory) tend to be tied to longer client engagements, which makes them more viable sponsorship candidates than short-cycle project roles.
Find sponsored AI Data Engineer openings through Migrate Mate
Filter for Synechron's active AI Data Engineer roles that confirm visa sponsorship using Migrate Mate. This saves you from applying to postings where sponsorship eligibility is ambiguous or where the role has already been filled internally.
AI Data Engineer at Synechron jobs are hiring across the US. Find yours.
Find AI Data Engineer at Synechron JobsFrequently Asked Questions
Does Synechron sponsor H-1B visas for AI Data Engineers?
Yes, Synechron sponsors H-1B visas for AI Data Engineers. The company has a consistent track record of filing H-1B petitions for technical roles, including data and AI engineering functions. If you're currently on OPT or another nonimmigrant status, Synechron's recruiters will typically discuss H-1B sponsorship timelines during the offer stage, particularly around the April filing window.
How do I apply for AI Data Engineer jobs at Synechron?
You can browse and apply for AI Data Engineer openings at Synechron directly through Migrate Mate, which filters for roles that include visa sponsorship. When applying, tailor your resume to highlight data pipeline architecture, cloud platform experience, and any work in financial services or regulated data environments, since those are central to Synechron's client delivery model.
Which visa types does Synechron commonly use for AI Data Engineer roles?
Synechron sponsors H-1B, TN, F-1 OPT, and F-1 CPT visas for AI Data Engineer positions, and also supports Green Card sponsorship through EB-2 and EB-3 categories for longer-tenured employees. TN is available for Canadian and Mexican nationals in qualifying engineering roles. The appropriate category depends on your citizenship, educational background, and how long you've been with the company.
What qualifications does Synechron expect for AI Data Engineer positions?
Synechron's AI Data Engineer roles typically require a bachelor's degree or higher in computer science, data engineering, or a related technical field. Hands-on experience with distributed data processing frameworks, cloud-based ETL tools, and ML pipeline development is expected. Candidates with financial services domain knowledge, particularly around data governance or risk data, tend to be more competitive given Synechron's core client base.
How do I know if a Synechron AI Data Engineer role will include visa sponsorship?
Visa sponsorship eligibility varies by role, hiring manager, and whether the position is tied to a client contract. The most reliable approach is to confirm sponsorship directly with the recruiter during the initial screen. USCIS requires the employer to file a Labor Condition Application with DOL before any H-1B petition, so Synechron's willingness to initiate that process is a concrete signal of sponsorship intent.
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