Gen Al / Agentic Al Engineer

We areAt 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 17,000+, and has 58 offices in 22 countries within key global markets.Our challengeWe 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 $90k - $110k/year & benefits (see below).The RoleResponsibilities:Design and develop Agentic AI solutions leveraging LLMs and MCP architecture.Agentic Al Solution Development Build and enhance LLM/agent orchestration (Planner/supervisor patterns, tool-using agents, routing, guardrails).Design and implement retrieval-augmented generation (RAG) for policy procedure grounding and resolution guidance.Define and run evaluation frameworks: golden datasets, scenario tests, regression tests, and automated scoring.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, PIl protections, and safe deployments.Requirements:Software Engineering experience or equivalent with strong CS fundamentalsHands-on experience building with LLMs and modern Al app stack (agents, RAG, tool/function calling).Strong proficiency in Python and building back-end services/APls.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/GP) with basic DevOps practicesStrong understanding of security and privacy principles (PIl handling, least privilege, audit logging)Preferred QualificationsExperience 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 processingExposure 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 58 offices in 22 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.S YNECHRON’S DIVERSITY & INCLUSION STATEMENTDiversity & 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.