Analytics Engineer Jobs at Synechron with Visa Sponsorship
Synechron hires Analytics Engineers across data pipeline, modeling, and BI work in financial services and technology environments. The company has a consistent track record of sponsoring work visas for this function, supporting candidates through H-1B, OPT, and green card pathways at multiple career levels.
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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 building an agentic AI platform to transform commercial banking customer service. The AI Developer will design, build, and operate LLM-powered agents that interpret inbound servicing requests (e.g., email/case intake), retrieve grounded knowledge, and execute approved workflows through secure tools/APIs, ensuring enterprise-grade controls, observability, and human-in-the-loop patterns. This role is part of a cross-functional team comprising Product, Operations, Technology, and Risk partners, focused on delivering production-ready agentic AI capabilities for regulated financial services.
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 Charlotte, NC is $100k - $110k/year & benefits (see below).
THE ROLE
Responsibilities:
Agentic Al Solution Development:
- Build and enhance LLM/agent orchestration (Planner/supervisor patterns, tool-using agents, routing, guardrails).
- Implement intent classification information extraction validation and decision logic for servicing workflows.
- Develop tool calling integrations to downstream systems (CRM, workflow engine, core banking services, case management).
- Implement human-in-the-loop workflows (review, approval, escalation, override) based on confidence/risk thresholds.
Knowledge and grounding (RAG):
- Design and implement retrieval-augmented generation (RAG) for policy procedure grounding and resolution guidance.
- Build knowledge ingestion pipelines with refresh/versioning.
- Improve answer quality via chunking strategies, embeddings re-ranking and context management.
Quality, Safety and Evaluation:
- Define and run evaluation frameworks: golden datasets, scenario tests, regression tests, and automated scoring.
- Reduce hallucinations and risk by implementing prompt policies, constraints, structured outputs, and verification steps.
- Partner with risk and compliance to ensure traceability, audit logs, explainability requirements are met.
Production Readiness and Operations:
- Implement observability for agents (latency, cost, tool failures, drift, quality signals, escalation rates).
- Support CI/CD for agent prompts and configurations (versioning, approvals, rollback).
- Collaborate with platform and security teams on secrets management, access controls, PII protections, and safe deployments.
REQUIREMENTS
- Software engineering experience or equivalent with strong CS fundamentals.
- Hands-on experience building with LLMs and modern AI app stack (agents, RAG, tool/function calling).
- Strong proficiency in Python and building back-end services/APIs.
- Experience with at least one: LangChain/ LangGraph, Llamalndex, Semantic Kernel or equivalent frameworks.
- Experience with vector databases and search (e.g., Pinecone, Weaviate, Milvus, OpenSearch/Elastic).
- Experience deploying services in cloud environments (AWS/Azure/GCP) with basic DevOps practices.
- Strong understanding of security and privacy principles (PII handling, least privilege, audit logging).
PREFERRED QUALIFICATIONS
- Experience in financial services or other regulated domains (risk controls, compliance audit readiness).
- Experience integrating with enterprise workflows (e.g., ServiceNow, Custom workflow engines, BPM/RPA).
- Familiarity with model evaluation approaches (LLM-as-judge, rubric scoring, retrieval evals, offline/online testing).
- Experience with messaging/eventing (Kafka/SQS), email ingestion pipelines, and document processing.
- Exposure to MRM concerns and governance (model cards, risk assessments, validation processes).
PREFERRED, BUT NOT REQUIRED:
- Experience in financial services or regulated domains (risk controls, compliance).
- Familiarity with enterprise workflow integrations (e.g., ServiceNow, RPA, BPM).
- Knowledge of model evaluation techniques and testing approaches.
- Exposure to messaging/eventing systems (Kafka/SQS), document processing, and ingestion pipelines.
- Understanding of MRM governance, model cards, risk assessments, and validation processes.
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 building an agentic AI platform to transform commercial banking customer service. The AI Developer will design, build, and operate LLM-powered agents that interpret inbound servicing requests (e.g., email/case intake), retrieve grounded knowledge, and execute approved workflows through secure tools/APIs, ensuring enterprise-grade controls, observability, and human-in-the-loop patterns. This role is part of a cross-functional team comprising Product, Operations, Technology, and Risk partners, focused on delivering production-ready agentic AI capabilities for regulated financial services.
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 Charlotte, NC is $100k - $110k/year & benefits (see below).
THE ROLE
Responsibilities:
Agentic Al Solution Development:
- Build and enhance LLM/agent orchestration (Planner/supervisor patterns, tool-using agents, routing, guardrails).
- Implement intent classification information extraction validation and decision logic for servicing workflows.
- Develop tool calling integrations to downstream systems (CRM, workflow engine, core banking services, case management).
- Implement human-in-the-loop workflows (review, approval, escalation, override) based on confidence/risk thresholds.
Knowledge and grounding (RAG):
- Design and implement retrieval-augmented generation (RAG) for policy procedure grounding and resolution guidance.
- Build knowledge ingestion pipelines with refresh/versioning.
- Improve answer quality via chunking strategies, embeddings re-ranking and context management.
Quality, Safety and Evaluation:
- Define and run evaluation frameworks: golden datasets, scenario tests, regression tests, and automated scoring.
- Reduce hallucinations and risk by implementing prompt policies, constraints, structured outputs, and verification steps.
- Partner with risk and compliance to ensure traceability, audit logs, explainability requirements are met.
Production Readiness and Operations:
- Implement observability for agents (latency, cost, tool failures, drift, quality signals, escalation rates).
- Support CI/CD for agent prompts and configurations (versioning, approvals, rollback).
- Collaborate with platform and security teams on secrets management, access controls, PII protections, and safe deployments.
REQUIREMENTS
- Software engineering experience or equivalent with strong CS fundamentals.
- Hands-on experience building with LLMs and modern AI app stack (agents, RAG, tool/function calling).
- Strong proficiency in Python and building back-end services/APIs.
- Experience with at least one: LangChain/ LangGraph, Llamalndex, Semantic Kernel or equivalent frameworks.
- Experience with vector databases and search (e.g., Pinecone, Weaviate, Milvus, OpenSearch/Elastic).
- Experience deploying services in cloud environments (AWS/Azure/GCP) with basic DevOps practices.
- Strong understanding of security and privacy principles (PII handling, least privilege, audit logging).
PREFERRED QUALIFICATIONS
- Experience in financial services or other regulated domains (risk controls, compliance audit readiness).
- Experience integrating with enterprise workflows (e.g., ServiceNow, Custom workflow engines, BPM/RPA).
- Familiarity with model evaluation approaches (LLM-as-judge, rubric scoring, retrieval evals, offline/online testing).
- Experience with messaging/eventing (Kafka/SQS), email ingestion pipelines, and document processing.
- Exposure to MRM concerns and governance (model cards, risk assessments, validation processes).
PREFERRED, BUT NOT REQUIRED:
- Experience in financial services or regulated domains (risk controls, compliance).
- Familiarity with enterprise workflow integrations (e.g., ServiceNow, RPA, BPM).
- Knowledge of model evaluation techniques and testing approaches.
- Exposure to messaging/eventing systems (Kafka/SQS), document processing, and ingestion pipelines.
- Understanding of MRM governance, model cards, risk assessments, and validation processes.
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 Analytics Engineer Jobs at Synechron Jobs
Align Your Portfolio to Financial Data Stacks
Synechron's Analytics Engineer work skews toward financial services clients, so showcase projects involving data modeling for transactional or regulatory datasets. Experience with dbt, Snowflake, or Databricks in a finance or fintech context will directly match their hiring patterns.
Confirm OPT STEM Extension Eligibility Early
Analytics Engineering typically sits under CIP codes that qualify for the 24-month STEM OPT extension. Verify your degree classification with your DSO before targeting roles, so you can accurately represent your authorization window to Synechron's recruiting team.
Target Synechron Roles With Migrate Mate
Synechron posts Analytics Engineer openings across multiple locations and seniority levels. Use Migrate Mate to filter specifically for their open roles by visa type so you're applying to positions where sponsorship is already part of the hiring workflow.
Clarify H-1B Cap Timing With the Recruiter
If you're cap-subject, H-1B registration opens in March for an October 1 start. Ask Synechron's recruiter early whether your target role has a hard start date or whether they can structure the offer around the USCIS cap timeline.
Prepare Your Specialty Occupation Documentation Now
USCIS requires that Analytics Engineer roles qualify as specialty occupations tied to a specific degree field. Gather transcripts, degree equivalency evaluations if your credential is from outside the U.S., and employer letters before the offer stage to avoid delays.
Understand How PERM Timing Affects Your Green Card Path
Synechron sponsors EB-2 and EB-3 Green Cards, but PERM labor certification at DOL typically takes 12 to 18 months before I-140 filing. If permanent residency is a priority, ask about Synechron's internal policy on when they initiate the process after hire.
Analytics Engineer at Synechron jobs are hiring across the US. Find yours.
Find Analytics Engineer at Synechron JobsFrequently Asked Questions
Does Synechron sponsor H-1B visas for Analytics Engineers?
Yes, Synechron sponsors H-1B visas for Analytics Engineer roles. They have a consistent pattern of filing H-1B petitions for this function across their technology and financial services engagements. If you're cap-subject, petitions are filed in April for an October 1 start date. If you're transferring from another H-1B employer, you can start sooner under H-1B portability rules.
How do I apply for Analytics Engineer jobs at Synechron?
You can apply directly through Synechron's careers page or through Migrate Mate, which filters their open Analytics Engineer roles by visa sponsorship type so you can identify positions that match your authorization status. When applying, tailor your resume to reflect data modeling, pipeline development, and any experience with financial services clients, since that's where much of Synechron's Analytics Engineer work is concentrated.
Which visa types does Synechron commonly use for Analytics Engineers?
Synechron sponsors H-1B, F-1 OPT, F-1 CPT, TN, and Green Card pathways including EB-2 and EB-3 for Analytics Engineers. OPT and CPT are common entry points for recent graduates. TN is available to Canadian and Mexican citizens whose Analytics Engineer role qualifies under the USMCA's engineer or computer systems analyst categories. H-1B and Green Card sponsorship typically follows for longer-term employees.
What qualifications does Synechron expect for Analytics Engineer roles?
Synechron's Analytics Engineer roles generally require a bachelor's degree or higher in computer science, information systems, engineering, or a related quantitative field. Practical experience with SQL, dbt, cloud data warehouses like Snowflake or BigQuery, and BI tooling is expected. Roles supporting financial services clients may also require familiarity with regulatory data structures or risk reporting workflows, which differentiates stronger candidates.
How long does the visa sponsorship process take at Synechron for Analytics Engineers?
Timeline depends on the visa type. OPT authorization is immediate upon graduation, with the STEM extension available for qualifying degrees after 90 days of employment. H-1B standard processing at USCIS takes three to five months; premium processing reduces that to 15 business days. Green Card sponsorship through PERM and I-140 typically takes two or more years. Clarify Synechron's internal process timeline with the recruiting or HR team before accepting an offer.
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